[fusion_builder_container background_color=”#ffffff” background_image=”” background_parallax=”none” enable_mobile=”no” parallax_speed=”0.3″ background_repeat=”repeat-x” background_position=”center bottom” video_aspect_ratio=”16:9″ video_mute=”yes” video_loop=”yes” fade=”no” border_size=”0px” border_style=”solid” padding_top=”0px” padding_bottom=”0px” hundred_percent=”yes” equal_height_columns=”no” hide_on_mobile=”no” margin_bottom=”0px” padding_left=”0px” padding_right=”0px”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true” element_content=””]

[/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container hundred_percent=”yes” overflow=”visible”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_menu_anchor name=”about” class=”” /][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container hundred_percent=”yes” overflow=”visible”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” border_radius=”” box_shadow=”no” dimension_box_shadow=”” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” padding_top=”73px” padding_right=”100px” padding_bottom=”” padding_left=”100px” margin_top=”” margin_bottom=”” background_type=”single” gradient_start_color=”” gradient_end_color=”” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ last=”true” first=”true”][fusion_title margin_top=”0px” margin_bottom=”20px” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” size=”2″ content_align=”center” style_type=”none”]RESEARCH UNIT ON NEUROMORPHIC COMPUTING AND PHOTONICS (RNCP)[/fusion_title][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container hundred_percent=”yes” overflow=”visible” padding_left=”0″ padding_right=”0px”][fusion_builder_row][fusion_builder_column type=”1_5″ type=”1_5″ layout=”1_5″ spacing=”0%” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”true” last=”false” element_content=”” margin_bottom=”0px”][/fusion_builder_column][fusion_builder_column type=”3_5″ type=”3_5″ layout=”3_5″ spacing=”0%” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”false” padding_bottom=”0px” margin_bottom=”0px”][fusion_content_boxes layout=”icon-boxed” columns=”1″ heading_size=”2″ iconspin=”no” icon_align=”left” animation_direction=”left” animation_speed=”0.3″ hide_on_mobile=”small-visibility,medium-visibility,large-visibility” margin_top=”50px” margin_bottom=”50px”][fusion_content_box title=”” backgroundcolor=”#26326e” icon=”” iconflip=”” iconrotate=”” iconspin=”” iconcolor=”” circlecolor=”” circlebordercolor=”” image=”” image_id=”” image_max_width=”” link=”” linktext=”Read More” animation_type=”” animation_direction=”left” animation_speed=”0.3″]

The RNCP unit is a 2020 initiative for collaboration between the Parallel and Distributed Systems and Networks Lab (PDSN), the Medical Image and Signal Processing Lab (MEDISP) — from the Department of Informatics and Computer Engineering and the Department of Biomedical Engineering, respectively — of the University of West Attica, and the Computer and Communication Systems Laboratory (CCSL) of the University of the Aegean. The labs decided to unite their forces and expertise, forming a joint research unit specializing in photonic neuromorphic computing systems and their applications, dedicated machine-learning hardware and software techniques, optical communications, physical layer security, and photonic sensing. The group has extensive expertise, gained through the participation of its members in diverse EU and national research projects in the broad area of photonics and optical communications.

[/fusion_content_box][/fusion_content_boxes][/fusion_builder_column][fusion_builder_column type=”1_5″ type=”1_5″ layout=”1_5″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”true” element_content=”” margin_bottom=”0px” padding_left=”0px”][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container hundred_percent=”yes” overflow=”visible”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_menu_anchor name=”research” /][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container background_parallax=”fixed” enable_mobile=”no” parallax_speed=”0.3″ background_repeat=”no-repeat” background_position=”center center” video_aspect_ratio=”16:9″ video_mute=”yes” video_loop=”yes” fade=”no” border_size=”0″ border_style=”solid” padding_top=”110px” padding_bottom=”110px” hundred_percent=”no” equal_height_columns=”yes” hide_on_mobile=”no” padding_left=”0px” padding_right=”0px” background_image=”https://rncp.eu/wp-content/uploads/2020/06/pngguru.com-Recovered3.png” background_color=”” background_blend_mode=”darken” hundred_percent_height=”no” hundred_percent_height_scroll=”yes” hundred_percent_height_center_content=”no”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_title margin_top=”0px” margin_bottom=”20px” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” size=”1″ content_align=”center” style_type=”none”]REASEARCH ACTIVITIES[/fusion_title][fusion_separator style_type=”single” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sep_color=”#386955″ top_margin=”30px” bottom_margin=”60px” border_size=”1px” width=”40%” alignment=”center” /][/fusion_builder_column][fusion_builder_column type=”1_1″ type=”1_1″ layout=”2_3″ last=”true” spacing=”yes” center_content=”yes” hide_on_mobile=”no” background_color=”rgba(255,255,255,0.78)” background_image=”” background_repeat=”no-repeat” background_position=”left top” hover_type=”none” link=”” border_position=”all” border_size=”0px” border_color=”” border_style=”” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”0px” margin_top=”” margin_bottom=”” animation_type=”” animation_direction=”” animation_speed=”0.1″ animation_offset=”” class=”” id=”” min_height=”” first=”true”][fusion_tabs design=”classic” layout=”horizontal” justified=”yes” backgroundcolor=”#26326e” inactivecolor=”rgba(38,50,110,0.8)” bordercolor=”rgba(76,76,76,0)” icon_position=”top” icon=”fa-chevron-circle-down fas” icon_size=”21″ hide_on_mobile=”small-visibility,medium-visibility,large-visibility”][fusion_tab title=”Photonic neuromorphic computing” icon=””]

Photonic neuromorphic computing is a rapidly evolving scientific field which attracts the interest worldwide due to its intrinsic scientific value and the niche applications it can enable. Bio-inspired computing can be performed in photonics with the use of pulsed lasers and complex waveguide structures achieving neuron-like behavior in unprecedented speeds and low consumption. The intrinsic parallelism of photonic circuits paves the wave for enhanced connectivity and scalability so as to solve complex problems at the speed of photons. RNCP members have a strong activity in the area as can be found in the publication record and in the participation in EU and national R&D projects.

[/fusion_tab][fusion_tab title=”Machine learning for the mitigation of transmission effects in optical communication systems” icon=””]

Optical communication systems suffer from linear and nonlinear effects of the optical channel. Although modern ASICs can handle linear effects such as polarization mode dispersion and chromatic dispersion, the major limitation regarding the maximum capacity that can be achieved comes from the nonlinearities attributed to Kerr effect. RCNP investigates state of the art recursive neural networks and reservoir computing techniques so as to mitigate the nonlinear effects in long-haul WDM transmission systems. The same activity seeks for applying low complexity machine learning algorithms in short-area networks where consumption matters.

[/fusion_tab][fusion_tab title=”Hardware Security based on Crypto-neuromorphic systems” icon=””]

One of the key areas that MCP has invested is the envision-design and development of cryptographic devices based on electronic-photonics hardware for cyber-physical applications. In particular MCP has developed multiple designs of optical modules as non-replicable authentication tokens and secure pseudo-random generators able to be integrated in IoT ecosystems and solidifying their resilience against cyber-physical attacks. More importantly MCP is working towards combining its solid background on neuromoprhic engineering and crypto-systems, so as to spawn a new generation of electronic-photonic neuro-cryptographic devices able to offer a twofold advantage. On one hand, provide solid security features, such as data encryption and authentication, based on physical properties and secondly employ the same modules for anomaly detection and edge machine learning

[/fusion_tab][fusion_tab title=”Fibre-optics sensing for environmental monitoring” icon=””]

The use of fiber infrastructures for environmental sensing is attracting global interest due to the fact that optical fibers emerge as low cost and easily accessible platforms exhibiting a large terrestrial deployment. Moreover, optical fiber networks offer the unique advantage of providing observations of submarine areas, where the sparse existence of permanent seismic instrumentation due to cost and difficulties in deployment limits the availability of high-resolution subsea information on natural hazards in both time and space. The use of optical techniques that leverage pre-existing fiber infrastructure can efficiently provide higher resolution coverage and pave the way for the identification of the detailed structure of the Earth especially on seismogenic submarine faults. RNCP and co-workers from other institutions has developed a new fibre-optics sensing technique relying microwave frequency fibre interferometry (MFFI) which is a simple and low-cost proposition compared to the state-of-the-art solutions exploiting distributed acoustic sensing. The technique has been published in Nature Scientific Reports (https://www.nature.com/articles/s41598-022-18130-x) and attracts the interest of many geophysicists and seismologists around the globe.

[/fusion_tab][/fusion_tabs][/fusion_builder_column][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true” element_content=””][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container hundred_percent=”yes” overflow=”visible”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_menu_anchor name=”projects” class=”” /][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container background_color=”#26326e” background_image=”” background_parallax=”none” enable_mobile=”no” parallax_speed=”0.3″ background_repeat=”repeat-x” background_position=”center bottom” video_aspect_ratio=”16:9″ video_mute=”yes” video_loop=”yes” fade=”no” border_size=”0px” border_style=”solid” padding_top=”110px” padding_bottom=”0px” hundred_percent=”no” equal_height_columns=”no” hide_on_mobile=”no” hundred_percent_height=”no” background_blend_mode=”overlay”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_title margin_top=”0px” margin_bottom=”20px” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” size=”1″ content_align=”center” style_type=”none” text_color=”#ffffff”]RNCP PROJECTS[/fusion_title][/fusion_builder_column][fusion_builder_column type=”1_2″ type=”1_2″ layout=”1_2″ last=”false” spacing=”yes” center_content=”no” hide_on_mobile=”no” background_color=”” background_image=”” background_repeat=”no-repeat” background_position=”left top” hover_type=”none” link=”” border_position=”all” border_size=”0px” border_color=”” border_style=”solid” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”” animation_type=”” animation_direction=”left” animation_speed=”0.5″ animation_offset=”” class=”” id=”” min_height=”” first=”true”][fusion_content_boxes settings_lvl=”parent” layout=”clean-vertical” columns=”1″ icon_align=”left” title_size=”40px” icon_circle_radius=”0px” iconcolor=”#ffffff” circlecolor=”transparent” circlebordercolor=”transparent” circlebordersize=”0px” outercirclebordercolor=”transparent” outercirclebordersize=”20px” icon_size=”205″ animation_offset=”top-into-view” animation_direction=”left” animation_speed=”0.6″ margin_top=”15px” margin_bottom=”15px” image_max_width=”500px” link_type=”button” body_color=”#2b2b2b” title_color=”#5b5b5b” backgroundcolor=”#ffffff” iconflip=”horizontal” iconspin=”no”][fusion_content_box title=”PROMETHEUS ” icon=”” backgroundcolor=”rgba(255,255,255,0)” iconcolor=”#5c5c5c” circlecolor=”” circlebordercolor=”” circlebordersize=”” outercirclebordercolor=”” outercirclebordersize=”” iconrotate=”” iconspin=”no” image=”” image_max_width=”35″ image_height=”35″ link=”https://prometheus-he.eu/” linktext=”read more” link_target=”_blank” animation_type=”” animation_direction=”” animation_speed=””]

PROMETHEUS’ vision: is to shatter the boundaries between quantum and neuromorphic photonic processing and merge them into a uniform integrated platform. In particular, the PROMETHEUS’ photonic integrated chip (PIC) will be based on a highly dense silicon on insulator (SOI) Field Programmable Photonic Gate Array (FPPGA) synaptic layer, strengthened by nearly-zero power-consuming non-volatile barium titanate (BTO) phase shifters and co-integrated III-V lasers, that will form an ultra-fast spiking neural layer. Sophisticated packaging, will provide a disruptive, yet robust device able to unravel large-scale neuromorphic-quantum implementations, offering unprecedentedly low power consumption, processing speed and versatility to adapt to a wide pallet of applications.

PROMETHEUS’ multi-purpose photonic platform will be suitable for the exploration of emerging concepts such as spiking networks, reservoir computing, convolutional optical networks and quantum neural networks; aiming to address two key industry-driven applications: high-speed image processing for biomedical/industrial applications (cytometry/laser scanning) and optical signal processing at the network’s edge (signal equalization). Moving a step further, PROMETHEUS’ PIC will be also utilized as a physical root of trust, unlocking its use as a quantum random number generator (QRNG) module and as a cyber-secure photonic physical unclonable function (PUF). These two operations will provide a pivotal advantage to PROMETHEUS’ modules: to act as neuromorphic processors and at the same time, to provide hardware-based authentication and security features derived from quantum key generation.

[/fusion_content_box][/fusion_content_boxes][fusion_content_boxes settings_lvl=”parent” layout=”clean-vertical” columns=”1″ icon_align=”left” title_size=”40px” icon_circle_radius=”0px” iconcolor=”#ffffff” circlecolor=”transparent” circlebordercolor=”transparent” circlebordersize=”0px” outercirclebordersize=”20px” icon_size=”205″ animation_offset=”top-into-view” animation_direction=”left” animation_speed=”0.6″ margin_top=”15px” margin_bottom=”15px” image_max_width=”500px” link_type=”button” body_color=”#2b2b2b” title_color=”#5b5b5b” backgroundcolor=”#ffffff” iconflip=”horizontal” iconspin=”no”][fusion_content_box title=”NEoteRIC ” icon=”” backgroundcolor=”rgba(255,255,255,0)” iconcolor=”#5c5c5c” circlecolor=”” circlebordercolor=”” circlebordersize=”” outercirclebordercolor=”” outercirclebordersize=”” iconrotate=”” iconspin=”no” image=”” image_max_width=”35″ image_height=”35″ link=”https://neoterich2020.eu/” linktext=”read more” link_target=”_blank” animation_type=”” animation_direction=”” animation_speed=””]

NEuromorphic Reconfigurable Integrated
photonic Circuits as artificial image processor

[fusion_imageframe image_id=”473|medium” max_width=”” style_type=”” blur=”” stylecolor=”” hover_type=”none” bordersize=”” bordercolor=”” borderradius=”” align=”none” lightbox=”no” gallery_id=”” lightbox_image=”” lightbox_image_id=”” alt=”” link=”” linktarget=”_self” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]https://rncp.eu/wp-content/uploads/2020/06/neoteric-300×70.png[/fusion_imageframe]

[/fusion_content_box][/fusion_content_boxes][fusion_content_boxes settings_lvl=”parent” layout=”clean-vertical” columns=”1″ icon_align=”left” title_size=”40px” icon_circle_radius=”0px” iconcolor=”#ffffff” circlecolor=”transparent” circlebordercolor=”transparent” circlebordersize=”0px” outercirclebordercolor=”transparent” outercirclebordersize=”20px” icon_size=”205″ animation_offset=”top-into-view” animation_direction=”left” animation_speed=”0.6″ margin_top=”15px” margin_bottom=”15px” image_max_width=”500px” link_type=”button” body_color=”#2b2b2b” title_color=”#5b5b5b” backgroundcolor=”#ffffff” iconflip=”horizontal” iconspin=”no”][fusion_content_box title=”NEBULA ” icon=”” backgroundcolor=”rgba(255,255,255,0)” iconcolor=”#5c5c5c” circlecolor=”” circlebordercolor=”” circlebordersize=”” outercirclebordercolor=”” outercirclebordersize=”” iconrotate=”” iconspin=”no” image=”” image_max_width=”35″ image_height=”35″ link=”https://xmesaritakis.wixsite.com/nebulaproject” linktext=”read more” link_target=”_blank” animation_type=”” animation_direction=”” animation_speed=””]

NEuromorphic Processor Based on qUantum-Dot LAsers

[fusion_imageframe image_id=”466|medium” max_width=”” style_type=”” blur=”” stylecolor=”” hover_type=”none” bordersize=”” bordercolor=”” borderradius=”” align=”none” lightbox=”no” gallery_id=”” lightbox_image=”” lightbox_image_id=”” alt=”” link=”” linktarget=”_self” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]https://rncp.eu/wp-content/uploads/2020/06/nebula-300×158.png[/fusion_imageframe]

Nebula Project is a research program funded by GSRT-ELIDEK (GR), hosted by the Dept. Informatics & Telecommunications of the National & Kapodistrian University of Athens and particularly the Optical Communications & Photonics Technology Laboratory, whereas it is supported by the Dept. of Photonic & Quantum Sciences of Heriot-Watt University. ​

It focus on the design, optimisation and development of fully isomorphic to biological structures photonic neurons with ultra-fast response  and marginal power consumption. These structures will be incorporated to a electro-optic scheme so as to mimic in the optical domain artificial sensorimotor processing and exploit disruptive computational paradigms like the Reservoir Computing Concept. ​

Its long-term vision is to provide an alternative path for computation harvesting the merits of photonics and neuromoprhic engineering and transforming them to a new paradigm

[/fusion_content_box][/fusion_content_boxes][fusion_content_boxes settings_lvl=”parent” layout=”clean-horizontal” columns=”1″ icon_align=”left” title_size=”24px” title_color=”#5c5c5c” body_color=”#5c5c5c” backgroundcolor=”transparent” icon_circle=”no” icon_circle_radius=”0px” iconcolor=”#5c5c5c” circlecolor=”transparent” circlebordercolor=”transparent” circlebordersize=”0px” outercirclebordercolor=”transparent” outercirclebordersize=”20px” icon_size=”38px” animation_offset=”top-into-view” animation_type=”slide” animation_direction=”right” animation_speed=”0.9″ margin_top=”0px” margin_bottom=”0px” /][fusion_content_boxes settings_lvl=”parent” layout=”clean-vertical” columns=”1″ icon_align=”left” title_size=”40px” icon_circle_radius=”0px” iconcolor=”#ffffff” circlecolor=”transparent” circlebordercolor=”transparent” circlebordersize=”0px” outercirclebordersize=”20px” icon_size=”205″ animation_offset=”top-into-view” animation_direction=”left” animation_speed=”0.6″ margin_top=”15px” margin_bottom=”15px” image_max_width=”500px” link_type=”button” body_color=”#2b2b2b” title_color=”#5b5b5b” backgroundcolor=”#ffffff” iconflip=”horizontal” iconspin=”no”][fusion_content_box title=”NOOK ” icon=”” backgroundcolor=”rgba(255,255,255,0)” iconcolor=”#5c5c5c” circlecolor=”” circlebordercolor=”” circlebordersize=”” outercirclebordercolor=”” outercirclebordersize=”” iconrotate=”” iconspin=”no” image=”” image_max_width=”35″ image_height=”35″ link=”https://rncp.eu/nook/” linktext=”read more” link_target=”_blank” animation_type=”” animation_direction=”” animation_speed=””]

Next generation Optical communication systems in the O-band: Α Key enabler for capacity enhancement in existing fibre links – NOOK

HFRI  Research Projects to Support Faculty Members & Researchers):  Next generation Optical communication systems in the O-band: Α Key enabler for capacity enhancement in existing fibre links,

NOOK, 1/1/2022-31/12/2024

– Principal Investigator (Name/Surname): Adonis Bogris
– Scientific Area: Engineering Sciences & Technology
– Scientific Field: Electrical, electronic & communication engineering
– Scientific Subfield: Communication engineering and systems
– Projects’ Duration (in months):36
– Host Institution: University of West Attica
– Collaborating Organization(s): University of Southampton (UoS), University of the Aeagean (UoA)

Optical fibre is the most broadband transmission medium comprising the highway that massively transfers data corresponding to communication taking place among billions of terminal devices per second. State of
the art optical communication systems operate in the C-band (1530 -1565 nm) and less often in the L-band (1565 -1625 nm). These two bands offer almost 100 nm of useful optical bandwidth and have been predom-inantly selected since early 80s as they provide propagation at the lowest loss. This fact was a strong driver for the fabrication of devices such as emitters, receivers and amplifiers that operate in this wavelength window. Nowadays, many experts in the field of optical communications and networking predict that the continuous need for more demanding paradigms such as 5G, Internet of Things, cloud services, etc. will fully exhaust the capacity offered by C-band and L-band, thus posing an indisputable need for enhancement of
long-haul communication systems capacity. Different techniques have been proposed to circumvent this threat, either pushing towards the ideal utilisation of fibre capacity in the non-linear regime or by introducing
spatial division multiplexing in the form of multi-fibre, multi-core and multi-mode transmission. 
Lately, the extension of fibre bandwidth as a method to resolve “capacity crunch” has started gaining ground.
For this reason, many groups worldwide focus their research on designing and fabricating optical devices that may cover other useful wavelengths for fibre transmission ranging from 1250 nm to 1700 nm. The potential of already installed fibres is to accommodate 300 nm of wavelength multiplexed signals, whilst nowadays the majority of the systems only utilise the C-band (~ 35 nm). The most important argument of the bandwidth extension roadmap is that the next generation optical communication systems will rely on already deployed infrastructures, thus avoiding the requirement for a costly infrastructure upgrade proposed by the experts
exploring the potential of few-mode fibres (FMFs) and multi-core fibres (MCFs).

ΝOOK will focus its research on exploring O-band (1260-1360 nm) which offers extra 100 nm of optical bandwidth and has a clear potential for the generation of high quality devices, including optical amplifiers with the use of properly designed Bi-doped fibres [1]. The main particular property of O-band transmission is the almost zero dispersion and its significant variation along the 100 nm which lays the ground for the manifestation of strong and non-uniform nonlinear effects that must be efficiently mitigated. Besides the in-depth analysis of conventional communications, NOOK will also take into account the advent of quantum communications and will investigate the potential of O-band in simultaneously supporting classical and quantum channels and the impact of O-band transmission on the performance of classical and quantum channels residing at C-, L-bands.

[/fusion_content_box][/fusion_content_boxes][/fusion_builder_column][fusion_builder_column type=”1_2″ type=”1_2″ layout=”1_2″ last=”true” spacing=”yes” center_content=”no” hide_on_mobile=”no” background_color=”” background_image=”” background_repeat=”no-repeat” background_position=”left top” hover_type=”none” link=”” border_position=”all” border_size=”0px” border_color=”” border_style=”solid” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”” animation_type=”” animation_direction=”left” animation_speed=”0.5″ animation_offset=”” class=”” id=”” min_height=”” first=”false”][fusion_content_boxes settings_lvl=”parent” layout=”clean-vertical” columns=”1″ icon_align=”left” title_size=”40px” icon_circle_radius=”0px” iconcolor=”#ffffff” circlecolor=”transparent” circlebordercolor=”transparent” circlebordersize=”0px” outercirclebordercolor=”transparent” outercirclebordersize=”20px” icon_size=”205″ animation_offset=”top-into-view” animation_direction=”left” animation_speed=”0.6″ margin_top=”15px” margin_bottom=”15px” image_max_width=”500px” link_type=”button” body_color=”#2b2b2b” title_color=”#5b5b5b” backgroundcolor=”#ffffff” iconflip=”horizontal” iconspin=”no”][fusion_content_box title=”ECSTATIC ” icon=”” backgroundcolor=”rgba(255,255,255,0)” iconcolor=”#5c5c5c” circlecolor=”” circlebordercolor=”” circlebordersize=”” outercirclebordercolor=”” outercirclebordersize=”” iconrotate=”” iconspin=”no” image=”” image_max_width=”35″ image_height=”35″ link=”https://ecstatic-project.eu/” linktext=”read more” link_target=”_blank” animation_type=”” animation_direction=”” animation_speed=””]

 

A sensing revolution: Combined sensing architectures for global tectonic and infrastructure modelling.

Optical communications networks are undergoing a transformative phase, driven by the dual demands for increased connectivity and real-time data acquisition. Recent developments in the field have highlighted the potential of integrating high-speed optical communication and sensing, offering an ambitious holistic approach to data acquisition, monitoring, and network state analysis. There is now a real opportunity to transform the telecommunications networks, producing the enormous amount of data, into a globe-spanning distributed sensing system with applications ranging from environmental surveillance, such as earthquake and tsunami tracking, to infrastructure monitoring and anomalies detection. However, this requires reconsideration of the specifications of communications techniques, signal characteristics and devices, as well as system designs and architectures to realise the potential for exploitation in other contexts, thereby leveraging considerable value from the significant costs of network installation.

To address this opportunity, ECSTATIC will design and develop novel interferometry and polarisation-based sensing technologies that substantially advance the state of the art in vibration and acoustic fibre-optic sensing techniques in terms of reach, sensitivity, and localization capabilities, by offering a wide palette of effective solutions that can be tailored in different use cases, while guaranteeing the coexistence of the sensing signal with live data traffic. New light-based technologies will be integrated with advanced DSP and machine learning techniques enhancing their performance. Furthermore, the project will produce systems for real-time digital signal acquisition capable to detect and characterise environmental effects and monitor in real-time the properties of the communication channel – including its nonlinear characteristics. These developments are essential for the envisaged real-world application of the ECSTATIC technologies and will enable monitoring of different events (natural events, mechanical vibrations, ambient noise, structural health) and channel quality (power, nonlinear effects, etc.) in real time.

ECSTATIC is a unique initiative that seeks to evaluate the most important fibre-optic sensing techniques in real-life telecommunication infrastructures, integrating high-speed optical communication with distributed sensing, offering real-time data acquisition, monitoring, and analysis. This integration promises to enhance the intelligent functionalities of ubiquitous optical networks, pushing the boundaries of what is achievable with traditional optical communication systems. At the end of the project, a thorough understanding of the capabilities, cost, and compatibility with telecom infrastructure will have been acquired to initiate standardization of fibre-optic sensing in operational network environments.

 

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[/fusion_content_box][/fusion_content_boxes][fusion_content_boxes settings_lvl=”parent” layout=”clean-vertical” columns=”1″ icon_align=”left” title_size=”40px” icon_circle_radius=”0px” iconcolor=”#ffffff” circlecolor=”transparent” circlebordercolor=”transparent” circlebordersize=”0px” outercirclebordersize=”20px” icon_size=”205″ animation_offset=”top-into-view” animation_direction=”left” animation_speed=”0.6″ margin_top=”15px” margin_bottom=”15px” image_max_width=”500px” link_type=”button” body_color=”#2b2b2b” title_color=”#5b5b5b” backgroundcolor=”#ffffff” iconflip=”horizontal” iconspin=”no”][fusion_content_box title=”SafeIT ” icon=”” backgroundcolor=”rgba(255,255,255,0)” iconcolor=”#5c5c5c” circlecolor=”” circlebordercolor=”” circlebordersize=”” outercirclebordercolor=”” outercirclebordersize=”” iconrotate=”” iconspin=”no” image=”” image_max_width=”35″ image_height=”35″ link=”https://icsdweb.aegean.gr/ccsl/national-projects/” linktext=”read more” link_target=”_blank” animation_type=”” animation_direction=”” animation_speed=””]

“SafeIT – Wearable systems for the safety and wellbeing applied in security guards”, Research-Create-Innovate 2nd Cycle, National Strategic Reference Framework (NSRF) 2014-2020, 2020

Wearable devices and augmented reality are rapidly evolving and are particularly applicable in the service sector, such as safety, health, education, etc. In the field of security services, in particular the no-contact / lone security positions, device handler technology can offer innovative services. In particular, it can further secure the individual protection of staff in existing security services and improve their mental concentration and perceptual capacity, which assists in decision-making. Portable devices can detect the presence, biometric data of the guardian, and many additional elements that are useful both in the service they perform and the personal safety of the workers.

The goal of the project is to develop systems and applications that will receive and process data from smart wearable to record biometric data for the purposes of health and vital safety monitoring, positioning and presence / commencement / ending of the shift, direct notification and other required services, such as indications of danger, attack, etc. These devices will automatically wirelessly connect with additional equipment (ambient sensors and positional beacons) and their data will be combined with the cameras data. Systems of Augmented / Mixed reality will also be developed in addition to simply record and track signals, more effectively manage the data from incident management center operators and supporting decision-making by the end user (guardian).

Due to the variety of data to be transmitted and stored, a combination of modern signal processing and machine learning techniques is needed through the creation of a knowledge base. The latter will be shaped by the data collected per event. There will also be use of pioneering security techniques which combine multi-parametric authentication, such as the use of biometric elements (something the user is) with equipment components (somethingthe user has), which will be physically resistant to cloning, that is to say they will exhibit structural features that will make them unique. Some of the most important issues that will be addressed in the project are the data transmission security and the use of blockchain technology for secure data storage (protection against unauthorized data alteration, PUF assisted encryption), as well as the use of security technologies to protect personal data (use of nicknames and aliases, PUF reciprocal authentication). In the strand of augmented reality, the technological innovation that the project introduces is multidimensional. More specifically, this project is the first national effort to develop an integrated augmented/mixed reality platform that acts on both the field and the control center. The development of AR interfaces for managing information in the field of security services is an innovation of the project. Also, the development of ergonomic interfaces based on the geometric representation of the area of interest combined with the use of maps in an augmented reality environment is another innovation the project aspires to introduce. Finally, all applications that will be deployed will respect the privacy of users by complying to the requirements of innovative and academically recognized methodologies, while ensuring all the technical and organizational requirements set by the new General Data Protection Regulation 2016/679 (GCC-GDPR) are met.

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RNCP PEOPLE

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RNCP Unit Directors

[/fusion_title][/fusion_builder_column][fusion_builder_column type=”1_2″ type=”1_2″ layout=”1_2″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”#ffffff” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.5″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”true” last=”false” padding_left=”20px” padding_right=”20px”][fusion_person name=”Adonis Bogris” title=”Professor” picture=”https://rncp.eu/wp-content/uploads/2020/11/bogris-400×400.jpg” picture_id=”520|fusion-400″ pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”https://www.linkedin.com/in/adonis-bogris-baa6803a/” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”abogris@uniwa” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Adonis Bogris is a Professor at the Department of Informatics and Computer Engineering at the University of West Attica, Greece. He has authored or co-authored more than 200 articles published in international scientific journals and conference proceedings and he has participated in numerous EU and national research projects as a senior researcher or principal investigator. His current research interests include high-speed optical transmission systems and networks, neuromorphic photonics, quantum photonics, physical layer security and fibre-optics sensing. Dr. Bogris serves an associate editor of IEEE Journal of Lightwave Technology and is a fellow member of Optica. [/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_2″ type=”1_2″ layout=”1_2″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”#ffffff” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”right” animation_speed=”0.5″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”true” padding_left=”20px” padding_right=”20px”][fusion_person name=”Charis Mesaritakis” title=”Associate Professor” picture=”https://rncp.eu/wp-content/uploads/2020/11/mesaritakis-400×400.jpg” picture_id=”521|fusion-400″ pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”https://www.linkedin.com/in/charis-mesaritakis-ph-d-4186a841/” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”cmesar@uniwa.gr” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Assoc. Prof. Charis Mesaritakis acquired his diplom, M.Sc and Ph.D from National and Kapodistrian Univeristy of Athens (Greece). He has participated as a technical supervisor/researcher in multiple FP6,FP7, H2020 and Horizon EU projects. He has been awarded a postdoctoral EU Marie-Curie Fellowship, involving high precision laser telemetry in Thales III-V Labs (France); Followed by three competitive national research grants, PROMITHEAS from the J. Latsis foundation and HFRI NEBULA, both focusing on the investigation of photonic neuromorphic technologies and HFRI QUASAR for neuromorphic and quantum technologies. He is Associate Professor in Dept. Biomedical Engineering, University of West Attica. He is author and co-author of more than 110 publications in highly cited journals and international conferences. He holds three patents. He serves as regular reviewer for IEEE, OSA, AIP and Springer Journals, whereas he is an associate editor in OPTICA’s Optics Continuum .

Mesaritakis CV[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”true” last=”true”][fusion_separator style_type=”single” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sep_color=”#e0e0e0″ top_margin=”30px” bottom_margin=”50px” border_size=”1px” width=”100%” alignment=”left” /][fusion_title title_type=”text” rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”off” highlight_width=”9″ highlight_top_margin=”0″ before_text=”” highlight_text=”” after_text=”” content_align=”left” size=”1″ font_size=”” animated_font_size=”” line_height=”” letter_spacing=”” text_color=”” animated_text_color=”” highlight_color=”” style_type=”default” sep_color=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]

RNCP Researchers – PhD Students

[/fusion_title][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”3%” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”#e8e8e8″ border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”16″ box_shadow_spread=”11″ box_shadow_color=”#d8d8d8″ box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”up” animation_speed=”0.5″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”true” last=”false” border_radius_top_left=”5px” border_radius_bottom_right=”” box_shadow_vertical=”10px” box_shadow_horizontal=”50″ margin_bottom=”50px” border_radius_top_right=””][fusion_person name=”Stavros Deligiannidis, PhD” title=”” picture=”https://rncp.eu/wp-content/uploads/2022/10/deligiannidis.jpg” picture_id=”667|full” pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”sdeligiannid@uniwa.gr” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Stavros Deligiannidis holds a BSc in Physics, a MSc degree in Microelectronics and VLSI from the National and Kapodistrian University of Athens and a PhD from the University of West Attica in the field of novel signal processing techniques for optical communication systems. Since 2010, he has been at the Computer Engineering Department of the Technological Educational Institute of Peloponnese, where he served as a Lecturer. He has worked as a researcher in local and European projects. His current research interests include optical communications, deep learning, digital signal processing, and parallel computing.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”up” animation_speed=”0.5″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”false”][fusion_person name=”Dimitris Dermanis” title=”” picture=”https://rncp.eu/wp-content/uploads/2020/06/download.png” picture_id=”454|full” pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”dermanis@icsd.aegean.gr” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Dimitris
Dermanis was born in Athens, Greece. He holds a 5 years diploma (integrated MSc) in computer science and telecommunications from the department of Information and Communication Systems Engineering (ICSD) of the University of the Aegean. He is currently pursuing
his Ph.D at the University of the Aegean, in the field of Neuromorphic Computing under the supervision of Prof. Charis Mesaritakis. His main research interests include neural networks, deep learning and cryptography.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”true”][fusion_person name=”George Sarantoglou, PhD” title=”” picture=”https://rncp.eu/wp-content/uploads/2020/11/sarantoglou-400×425.png” picture_id=”515|fusion-400″ pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”icsdd19008@aegean.gr” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]George Sarantoglou received the Diploma degree in electrical and computer
engineering from the University of Patras, Patras, Greece, on 2016. He is
currently working towards his Ph.D. degree with the Department of Information and Communication Systems Engineering, University of the Aegean, Samos Greece. His Ph.D. thesis focuses on the experimental analysis and development of photonic processors for unconventional, bio-inspired information processing, targeting machine learning applications . His research interests include photonic systems for analog pattern recognition and multi-sensory applications.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”true” last=”false”][fusion_person name=”Menelaos Skontranis, PhD” title=”” picture=”https://rncp.eu/wp-content/uploads/2020/11/skontranis-400×400.jpg” picture_id=”594|fusion-400″ pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”mskontranis@icsd.aegean.gr” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Menelaos Skontranis received his bachelor in 2016 from Hellenic Air Force Academy as an Telecommunication-Electronic Engineer. He received his master in Microelectronics in 2019 from the Department of Informatics and Telecommunications of the National and Kapodistrian Univeristy of Athens. He currently is a PhD candidate in the Department of Information and Communication Systems Engineering of the University of Aegean under the supervision of Associate Professor Charis Mesaritakis. His research interest focuses on Quantum Dot Lasers, Vertical Cavity Surface Emitting Lasers and Optical Neural Networks.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”false”][fusion_person name=”Kostas Sozos, PhD” title=”” picture=”https://rncp.eu/wp-content/uploads/2022/10/sozos.jpg” picture_id=”666|full” pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”kostassozo@gmail.com” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Kostas Sozos received his B.S degree in Physics from the University of Patras in 2018 and the M.Sc in Microsystems & Nanodevices from the National Technical University of Athens in 2020. He is currently pursuing his Ph.D at the University of West Attica in the field of Neuromorphic Photonic Computing under the supervision of Prof. Adonis Bogris. His main research interests include photonic neural networks, deep learning, pattern recognition and optical communications.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”true”][fusion_person name=”Giannis Tsilikas” title=”” picture=”https://rncp.eu/wp-content/uploads/2020/11/tsilikas-400×400.jpg” picture_id=”592|fusion-400″ pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”tsilikasyiannis@gmail.com” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Ioannis (Giannis) Tsilikas holds a 5 years Diploma (integrated MSc) in applied Physics, from School of Applied Mathematical and Physical Sciences, National Technical University of Athens. He is currently pursuing his PhD degree at the National Technical University of Athens in the field of ultra short laser pulses interaction with matter under the supervision of Prof. Charis Measaritakis and Prof. Georgios Tsigaridas. He has worked as a researcher in 5 National research projects and in 3 European research projects (up to May 2020). His current research interests include optical experimental set ups of Femto Laser Systems, photonics signal processing, short and ultra short duration laser pulses interaction with biological matter, biophotonics and photonics.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”true” last=”false”][fusion_person name=”George Aias Karidis” title=”” picture=”https://rncp.eu/wp-content/uploads/2024/12/IMG_20241016_084050244_20241016_084335761.jpg” picture_id=”756|full” pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”tsilikasyiannis@gmail.com” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Georgios Aias Karydis aquired B.S degree in Physics and M.Sc in Control Systems from National and Kapodistrian University of Athens (Greece). He is working on his Pd.D on embedded systems for photonic applications, under the supervision of professor Adonis Bogris (University of West Attica). He has participated in Horizon 2020 EU projects (Neoteric, Prometheus and Qpic1550) where he designed, developed and implemented parallel architectures of various real time systems monitoring and driving photonic devices such as Photonic FPGAs. [/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”false”][fusion_person name=”Aris Tsirigotis, PhD” title=”” picture=”https://rncp.eu/wp-content/uploads/2021/02/Aris-Ts-400×533.jpg” picture_id=”617|fusion-400″ pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”tsiraris@gmail.com” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Aris Tsirigotis received his B.S. degree in Physics in 2016 and the Μ.Sc. in Electronics and Radioelectrology in 2020 from the National and Kapodistrian University of Athens.He is currently pursuing his Ph.D at the University of the Aegean in the field of Neuromorphic Photonic Computing under the supervision of Prof.Charis Mesaritakis. His main research interests include photonic neural networks, photonic design, deep learning, pattern recognition, optical communications and optical design.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”false” last=”true”][fusion_person name=”Giorgos Moustakas” title=”” picture=”https://rncp.eu/wp-content/uploads/2024/07/1718447190163.jpeg” picture_id=”743|full” pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”tsiraris@gmail.com” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Giorgos Moustakas received his Computer Science and Engineering degree (Integrated Master) from the University of West Attica in 2023. He is currently pursing his PhD degree in the field of Neuromorphic Computing under the supervision of Prof. Adonis Bogris. His current research interests include optical communications, spiking neural networks, deep learning and digital signal processing.[/fusion_person][/fusion_builder_column][fusion_builder_column type=”1_3″ type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” box_shadow=”no” box_shadow_blur=”0″ box_shadow_spread=”0″ box_shadow_color=”” box_shadow_style=”” background_type=”single” gradient_start_position=”0″ gradient_end_position=”100″ gradient_type=”linear” radial_direction=”center” linear_angle=”180″ background_color=”” background_image=”” background_image_id=”” background_position=”left top” background_repeat=”no-repeat” background_blend_mode=”none” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” filter_type=”regular” filter_hue=”0″ filter_saturation=”100″ filter_brightness=”100″ filter_contrast=”100″ filter_invert=”0″ filter_sepia=”0″ filter_opacity=”100″ filter_blur=”0″ filter_hue_hover=”0″ filter_saturation_hover=”100″ filter_brightness_hover=”100″ filter_contrast_hover=”100″ filter_invert_hover=”0″ filter_sepia_hover=”0″ filter_opacity_hover=”100″ filter_blur_hover=”0″ first=”true” last=”true”][fusion_person name=”Nikos Tzeka” title=”” picture=”https://rncp.eu/wp-content/uploads/2025/07/prof-2-2.jpg” picture_id=”777|full” pic_link=”” linktarget=”_self” pic_style=”” pic_style_blur=”” pic_style_color=”” pic_bordersize=”4″ pic_bordercolor=”” pic_borderradius=”” hover_type=”none” background_color=”” content_alignment=”left” icon_position=”” social_icon_boxed=”” social_icon_boxed_radius=”” social_icon_color_type=”” social_icon_colors=”#ffffff” social_icon_boxed_colors=”#5ec9f4″ social_icon_tooltip=”top” blogger=”” deviantart=”” digg=”” dribbble=”” dropbox=”” facebook=”” flickr=”” forrst=”” instagram=”” linkedin=”” myspace=”” paypal=”” pinterest=”” reddit=”” rss=”” skype=”” soundcloud=”” spotify=”” tumblr=”” twitter=”” vimeo=”” vk=”” whatsapp=”” xing=”” yahoo=”” yelp=”” youtube=”” email=”tsiraris@gmail.com” show_custom=”no” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]Nikos Tzeka holds a Master of Engineering degree in Information and Communication Systems from the University of the Aegean. After gaining hands-on experience as an Embedded Systems Engineer and contributing to projects for PKE and Siemens, he shifted his focus toward research. He is currently pursuing a PhD in Biomedical Engineering, specializing in Neuromorphic Photonic Computing, with a focus on post-quantum Physically Unclonable Functions (PUFs), under the supervision of Dr. Charis Mesaritakis.[/fusion_person][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container hundred_percent=”yes” overflow=”visible”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_menu_anchor name=”publications” /][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container][fusion_builder_container background_color=”#ffffff” background_image=”https://rncp.eu/wp-content/uploads/2020/06/pngguru.com-Recovered3.png” background_parallax=”fixed” enable_mobile=”no” parallax_speed=”0.3″ background_repeat=”no-repeat” background_position=”center center” video_aspect_ratio=”16:9″ video_mute=”yes” video_loop=”yes” fade=”no” border_size=”0px” border_style=”solid” padding_top=”110px” padding_bottom=”95px” hundred_percent=”no” equal_height_columns=”no” hide_on_mobile=”no”][fusion_builder_row][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_title margin_top=”0px” margin_bottom=”20px” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” size=”1″ content_align=”center” style_type=”none”]RNCP PUBLICATIONS[/fusion_title][fusion_separator style_type=”single” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sep_color=”#e0e0e0″ top_margin=”30px” bottom_margin=”60px” border_size=”1px” width=”40%” alignment=”center” /][/fusion_builder_column][fusion_builder_column type=”1_1″ type=”1_1″ layout=”1_1″ background_position=”left top” background_color=”” border_size=”” border_color=”” border_style=”solid” spacing=”yes” background_image=”” background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_title title_type=”text” rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”off” highlight_width=”9″ highlight_top_margin=”0″ before_text=”” rotation_text=”” highlight_text=”” after_text=”” content_align=”left” size=”1″ font_size=”” animated_font_size=”” line_height=”” letter_spacing=”” text_color=”” animated_text_color=”” highlight_color=”” style_type=”default” sep_color=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]

Publications in international scientific journals

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1. K Sozos, D Spanos, S Deligiannidis, TG Sarantoglou, N Passalis, N Pleros, C Mesaritakis, A Tefas, A Bogris. (2026). Photonic Kolmogorov-Arnold networks based on self-phase modulation in nonlinear waveguides. Optics Letters 51 (3), 664-667.
2. C Catalá-Lahoz, JR Rausell-Campo, D Pérez-López, L Güniat, P Sanchis, C Mesaritakis, A Bogris. (2026). High-Speed Non-Volatile Barium Titanate Field Programmable Photonic Gate Array. arXiv preprint arXiv:2601.07456.
3. G Moustakas, A Bogris, C Mesaritakis. (2025). Programmable Optical Spectrum Shapers as Computing Primitives for Accelerating Convolutional Neural Networks. arXiv preprint arXiv:2512.20580.
4. G Sarantoglou, GA Karydis, A Bogris, C Mesaritakis. (2025). Reconfigurable Silicon Photonics Extreme Learning Machine with Random Non-linearities as Neural Processor and Physical Unclonable Function. arXiv preprint arXiv:2512.16467.
5. G Moustakas, I Tsilikas, A Bogris, C Mesaritakis. (2025). Neuromorphic imaging flow cytometry combined with adaptive recurrent spiking neural networks. Optics Express 33 (16), 34180-34194.
6. G Sarantoglou, F Da Ros, K Sozos, A Bogris, C Mesaritakis. (2025). Reconfigurable integrated photonic chips as dual-purpose neuromorphic accelerators and physical unclonable functions. Optics Letters 50 (15), 4842-4845.
7. A Tsirigotis, G Sarantoglou, S Deligiannidis, E Sánchez, D Sanchez, A Gutierrez, P Muñoz, J Capmany, A Bogris, C Mesaritakis. (2025). Author Correction: Photonic neuromorphic accelerator for convolutional neural networks based on an integrated reconfigurable mesh. Communications Engineering 4, 123.
8. M Skontranis, G Moustakas, A Bogris, C Mesaritakis. (2025). A VCSEL based Photonic Neuromorphic Processor for Event-Based Imaging Flow Cytometry Applications. arXiv preprint arXiv:2505.12026.
9. A Tsirigotis, G Sarantoglou, S Deligiannidis, E Sánchez, D Sanchez, A Gutierrez, P Muñoz, J Capmany, A Bogris, C Mesaritakis. (2025). Photonic neuromorphic accelerator for convolutional neural networks based on an integrated reconfigurable mesh. Communications Engineering 4 (1), 80.
10. K Sozos, F Da Ros, SM Optica, M Yankov, S Deligiannidis, G Sarantoglou, C Mesaritakis, A Bogris. (2025). Experimental Analysis of a Self-Coherent M-QAM Receiver by Means of Recurrent Optical Spectrum Slicing and Direct Detection. arXiv preprint arXiv:2503.09162.
11. C Mesaritakis, I Tsilikas, S Deligiannidis, GA Karydis, D Syvridis, A Bogris. (2024). DUAL-MODALITY HIGH-FLOW IMAGING SCHEME FOR CELL DISCRIMINATION COMBINING NEUROMORPHIC 2D CAMERA AND NIR TIME-STRETCH IMAGER. Physica Medica 127, 104520.
12. I Tsilikas, A Tsirigotis, G Sarantoglou, S Deligiannidis, A Bogris, C Posch, C Mesaritakis. (2024). Photonic neuromorphic accelerators for event-based imaging flow cytometry. Scientific Reports 14 (1), 24179.
13. D Dermanis, P Rizomiliotis, A Bogris, C Mesaritakis. (2024). Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function. IEEE Journal of Quantum Electronics 60 (6), 6300308.
14. G Sarantoglou, A Bogris, C Mesaritakis. (2024). All-Optical, Reconfigurable, and Power Independent Neural Activation Function by Means of Phase Modulation. IEEE Journal of Quantum Electronics 60 (5), 10620692.
15. K. Sozos, F. Da Ros, M. P. Yankov, G. Sarantoglou, S. Deligiannidis, C. Mesaritakis, & A. Bogris. (2024). Experimental Investigation of a Recurrent Optical Spectrum Slicing Receiver for Intensity Modulation/Direct Detection systems using Programmable Photonics. Journal of Lightwave Technology 42 (22), 7807-7815.
16. K. Sozos, S. Deligiannidis, C. Mesaritakis, & A. Bogris. (2024). Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Waveguides. IEEE Journal of Quantum Electronics 60 (4), 1-6.
17. A. Tsirigotis, G. Sarantoglou, S. Deligiannidis, K. Sozos, A. Bogris, & C. Mesaritakis. (2024). Unconventional integrated photonic accelerators for high-throughput convolutional neural networks. Journal of Lightwave Technology 42 (8), 2827-2834.
18. S. Deligiannidis, K. R. H. Bottrill, K. Sozos, C. Mesaritakis, P. Petropoulos and A. Bogris. (2023). Multichannel Nonlinear Equalization in Coherent WDM Systems based on Bi-directional Recurrent Neural Networks. Journal of Lightwave Technology 42 (4), 1188-1196.
19. K. Sozos, S. Deligiannidis, C. Mesaritakis, A. Bogris. (2023). Self-Coherent Receiver Based on a Recurrent Optical Spectrum Slicing Neuromorphic Accelerator. IEEE Journal of Lightwave Technology 41, 2666-2674.
20. M. Skontranis, G. Sarantoglou, K. Sozos, T. Kamalakis, C. Mesaritakis, & A. Bogris. (2023). Multimode fabry-perot laser as a reservoir computing and extreme learning machine photonic accelerator. Neuromorphic Computing and Engineering 3 (4), 044003.
21. K. Sozos, S. Deligiannidis, G. Sarantoglou, C. Mesaritakis and A. Bogris, “Recurrent Neural Networks and Recurrent Optical Spectrum Slicers as Equalizers in High Symbol Rate Optical Transmission Systems,” in Journal of Lightwave Technology, vol. 41, no. 15, pp. 5037-5050, 1 Aug.1, 2023, doi: 10.1109/JLT.2023.3282999.
22. Tsirigotis, G. Sarantoglou, M. Skontranis, S. Deligiannidis, K. Sozos, G. Tsilikas, D. Dermanis, A. Bogris, C. Mesaritakis. “Unconventional Integrated Photonic Accelerators for High-Speed Convolutional Neural Networks”. (invited) Science, Intelligence Computing, 2023:0032. DOI:10.34133/icomputing.0032
23. Lentas, K., Bowden, D., Melis, N. S., Fichtner, A., Koroni, M., Smolinski, K., … & Simos, I. (2023). Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array. Physics of the Earth and Planetary Interiors, 107109
24. Sozos, A. Bogris, G. Sarantoglou, P. Bienstman, C. Mesaritakis, “High-Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks” 1:(24) doi.org/10.1038/s44172-022-00024-5 Nature Communication Engineering, (2022)
25. Bogris, T. Nikas, C. Simos, I. Simos, K. Lentas, Ν. S. Melis, A. Fichtner, D. Bowden, K. Smolinski, C. Mesaritakis & I. Chochliouros. “Sensitive seismic sensors based on microwave frequency fiber interferometry in commercially deployed cables”. Nature Scientific Reports 12, 14000 (2022)
26. Bowden, D. C., Fichtner, A., Nikas, T., Bogris, A., Simos, C., Smolinski, K., … & Melis, N. S. (2022). Linking Distributed and Integrated Fiber‐Optic Sensing. Geophysical Research Letters, 49(16), e2022GL098727
27. Fichtner, A., Bogris, A., Nikas, T., Bowden, D., Lentas, K., Melis, N. S., … & Smolinski, K. (2022). Theory of phase transmission fibre-optic deformation sensing. Geophysical Journal International, 231(2), 1031-1039
28. Fichtner, A., Bogris, A., Bowden, D., Lentas, K., Melis, N. S., Nikas, T., … & Smolinski, K. (2022). Sensitivity kernels for transmission fibre optics. Geophysical Journal International, 231(2), 1040-1044.
29. Sarantoglou, A. Bogris, C. Mesaritakis, S. Thodoridis, “Bayesian Photonic Accelarators for Energy Efficient and Noise Robust Neural Processing” (invited) IEEE Selected Topics in Quantum Electronics, 10.1109/JSTQE.2022.3183444 (2022)
30. Dermanis, A. Bogris, P. Rizomiliotis, C. Mesaritakis, “Photonic Physical Unclonable Function based on an Integrated Neuromorphic schemes” IEEE Journal of Lightwave Technology 10.1109/JLT.2022.3200307 (2022)
31. Skontranis, G. Sarantoglou, A. Bogris, C. Mesaritakis, “Time-Delayed Reservoir Computing Based on Dual-Waveband Quantum-Dot Spin-Polarized Vertical Cavity Surface-Emitting Laser” Optica Material Optics Express, 12(10), 4047-4060 (2022)
32. Υ. Hong, S. Deligiannidis, N. Taengnoi, K. R. H. Bottrill, N. K. Thipparapu, Y. Wang, J. K. Sahu, David J. Richardson, C. Mesaritakis, A. Bogris, and P. Petropoulos, “ML-assisted Equalization for 50-Gb/s/λ O-band CWDM Transmission over 100-km SMF” IEEE Selected Topics in Quantum Electronics1109/JSTQE.2022.3155990 (2022).
33. Sarantoglou, M. Skontranis, A. Bogris, C. Mesaritakis, “Experimental study of Neuromorphic Node based on a Multi- Waveband Emitting two – section Quantum Dot Laser” OSA Photonic Research, Vol. 9, No. 4 pp. B87 doi: 10.1364/PRJ.413371 (2021)
34. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis, “Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network” Appl. Sci. 2021, 11(4) (2021)
35. Sozos, C. Mesaritakis, A. Bogris “Monolithic Integrated Optoelectronic Reservoir Computing Processor based on Mutually Injected Phase Modulated Semiconductor Lasers” IEEE Selected Topics in Quantum Electronics accepted for publication (2021)
36. S. Deligiannidis, C. Mesaritakis, A. Bogris, “Performance and Complexity Analysis of i-directional Recurrent Neural Network Models vs. Volterra Nonlinear Equalizers in Digital Coherent Systems”, ΙΕΕΕ Journal of Lightwave Technology , Vol.39, No.18 pp. 5791 (2021)
37. M. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis, “Time-Multiplexed Spiking Convolutional Neural Network based on VCSELs for Unsupervised Image Classification”, Applied Sciences, accepted for publication (2021)
38. G. Sarantoglou, M. Skontranis, A. Bogris, C. Mesaritakis, “Experimental study of Neuromorphic Node based on a Multi- Waveband Emitting two – section Quantum Dot Laser” OSA Photonic Research, doi: 10.1364/PRJ.413371 (2021)
39. M. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis, “Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network” MDPI Applied Sciences, special issue on Optical Computing, accepted for publication (2021)
40. Bogris, C. Mesaritakis, Stavros Deligiannidis, Pu Li “All Optical Integrate and Fire Neuromorphic Node based on Single Section Quantum Dot Laser” IEEE Selected Topics in Quantum Electronics, Volume: 27, Issue: 2, (2020)
41. Mesaritakis, P. Rizomiliotis, M. Akriotou, C. Chaintoutis, A. Fragkos, D. Syvridis “Photonic Pseudo-Random Number Generator for Internet-of-Things Authentication using a Waveguide based Physical Unclonable Function” Arxiv.org (2020)
42. Deligiannidis, A. Bogris, C. Mesaritakis, Y. Kopsinis, “Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks” ΙΕΕΕ Journal of Lightwave Technology Volume: 38, Issue: 21, pp. 5991-5999 (2020)
43. Sarantoglou, M. Skontranis, C. Mesaritakis, “All Optical Integrate and Fire Neuromorphic Node based on Single Section Quantum Dot Laser” IEEE Selected Topics in Quantum Electronics, accepted for publication (2019)

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Conference Proceedings

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1. S. Deligiannidis, Y. Wang, C. Simos, I. Simos, A. Fichtner, N.S. Melis, A. Bogris. (2025). Earthquake Distance and Magnitude Estimation via Calibrated Microwave Frequency Fiber Interferometry. 2025 European Conference on Optical Communications (ECOC), 1-4.
2. I. Teofilovic, K. Sozos, H. Liu, S. Malhouitre, S. Garcia, G. Sarantoglou, F. Da Ros, C. Mesaritakis, A. Bogris, Y. Jaouen, P. Petropoulos. (2025). Integrated recurrent optical spectral slicer for equalization of 100-km C-band IM/DD transmission. 2025 European Conference on Optical Communications (ECOC), 1-4.
3. K. Sozos, F. Da Ros, G. Sarantoglou, C. Mesaritakis, A. Bogris. (2025). Recurrent Optical Spectrum Slicers as Multi-Processors for WDM Optical Equalization of IM/DD Channels. 2025 European Conference on Optical Communications (ECOC), 1-4.
4. G. Drainakis, P. Baziana, A. Bogris. (2025). Application-Aware Resource Allocation and Traffic Classification for US-Latency Optical Data Centers. 2025 IEEE International Mediterranean Conference on Communications and Networking (MedComNet).
5. G. Drainakis, P. Baziana, A. Bogris. (2025). AI Traffic Escalation Study in Edge Networking: Priority Access Criteria for Optical Data Center Networks. 2025 25th Anniversary International Conference on Transparent Optical Networks (ICTON).
6. G. Moustakas, S. Deligiannidis, N. Argyris, S. Dris, P. Bakopoulos, C. Mesaritakis, A. Bogris. (2025). Data Driven Simulation of Semiconductor Optical Amplifiers by Means of bi-LSTM and Transformer Machine Learning Models. The European Conference on Lasers and Electro-Optics (CLEO/Europe), ci_p_3.
7. M. Skontranis, G. Moustakas, I. Tsillikas, A. Bogris, C. Mesaritakis. (2025). VCSEL based Time-Delayed Spiking Liquid State Machine for Event-Based Flow Cytometry Image Classification. 2025 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC).
8. G.A. Karydis, G. Sarantoglou, B. Charbonnier, O. Castany, S. Brision, A. Bogris, C. Mesaritakis. (2025). Programmable Photonic Chips as Versatile Physical Unclonable Functions. 2025 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC).
9. G. Moustakas, I. Tsilikas, A. Bogris, C. Mesaritakis. (2025). Event-Based Imaging Cytometry Combined with Recurrent/Feedforward Adaptive Spiking Neural Networks. The European Conference on Lasers and Electro-Optics (CLEO/Europe), cl_2_4.
10. G. Sarantoglou, F. Da Ros, K. Sozos, M.P. Yankov, D. Dermanis, A. Bogris, C. Mesaritakis. (2025). Neuromorphic Physical Unclonable Function and Self-Coherent Receiver based on a Reconfigurable Photonic Circuit. Optical Fiber Communication Conference (OFC), Th1F.4.
11. A. Bogris, C. Simos, I. Simos, Y. Wang, A. Fichtner, S. Deligiannidis, N.S. Melis, P. Petropoulos. (2025). Microwave Frequency Fiber Interferometry in Submarine Deployed Telecommunication Cables. Optical Fiber Communication Conference (OFC), Th3F.1.
12. H. Liu, K. Sozos, S. Deligiannidis, S. Wantee, C. Mesaritakis, R.H.K. Bottrill, P. Petropoulos, A. Bogris. (2025). Ultrafast All-Optical Matrix-Vector Multiplication Based on Four-Wave Mixing. 2025 Optical Fiber Communications Conference and Exhibition (OFC), 1-3.
13. K. Sozos, F. Da Ros, M. Yankov, S. Deligiannidis, G. Sarantoglou, C. Mesaritakis, A. Bogris. (2024). Recurrent Optical Spectrum Slicing Receiver for Power Fading Mitigation in Highly Dispersive Links using Programmable Photonics. 2024 IEEE Photonics Conference (IPC), 1-2.
14. P. Baziana, G. Drainakis, D. Georgantas, A. Bogris. (2024). AI and ML Applications Traffic: Designing Challenges for Performance Optimization of Optical Data Center Networks. 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM).
15. K. Sozos, F. Da Ros, M.P. Yankov, S. Deligiannidis, G. Sarantoglou, C. Mesaritakis, A. Bogris. (2024). Experimental Investigation of a M-QAM Receiver Based on Recurrent Optical Spectrum Slicing and Direct Detection. ECOC 2024; 50th European Conference on Optical Communication, 812-815.
16. A. Tsirigotis, G. Sarantoglou, S. Deligiannidis, E. Sanchez, D. Sanchez, A. Gutierrez, P. Munoz, J. Capmany, A. Bogris, C. Mesaritakis. (2024). Experimental Investigation of a Neuromorphic Accelerator based on Reconfigurable Photonic Chip for High-Speed Image Processing. ECOC 2024; 50th European Conference on Optical Communication, 228-230.
17. I. Tsilikas, A. Tsirigotis, S. Deligiannidis, G.N. Tsigaridas, A. Bogris, C. Mesaritakis. (2023). Time-Stretched Imaging Flow Cytometry and Photonic Neuromorphic Processing for Particle Classification. The European Conference on Lasers and Electro-Optics (CLEO/Europe), cl_2_2.
18. K. Sozos, S. Deligiannidis, C. Mesaritakis, A. Bogris. (2023). Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Media. 2023 European Quantum Electronics Conference (EQEC), jsiii_1_1.
19. S. Deligiannidis, N. Argyris, S. Dris, D. Kalavrouziotis, P. Bakopoulos, A. Bogris, C. Mesaritakis. (2023). Deep-Learning–based VCSEL transmitter emulator. 2023 European Quantum Electronics Conference (EQEC), ej_3_4.
20. I. Tsilikas, S. Deligiannidis, A. Tsirigotis, G.N. Tsigaridas, A. Bogris, C. Mesaritakis. (2023). Neuromorphic camera assisted high-flow imaging cytometry for particle classification. The European Conference on Lasers and Electro-Optics (CLEO/Europe), ch_p_17.
21. A. Tsirigotis, I. Tsilikas, K. Sozos, A. Bogris, C. Mesaritakis. (2023). Photonic Neuromorphic Accelerator Combined with an Event-Based Neuromorphic Camera for High-Speed Object Classification. 2023 European Quantum Electronics Conference (EQEC), jsiii_3_4.
22. A. Fichtner, A. Bogris, T. Nikas, D. Bowden, K. Lentas, N. Melis, C. Simos, I. Simos. (2023). Linking Distributed and Integrated Fiber-Optic Deformation Sensing. XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG).
23. D. Bowden, L. Tian, Y. Wang, K. Smolinski, A. Fichtner, A. Bogris, T. Nikas, K. Lentas, N. Melis, C. Simos, I. Simos. (2023). Urban Noise Tomography in Athens, Greece, using Distributed Acoustic Sensing (DAS). XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG).
24. K. Smolinski, D. Bowden, K. Lentas, N.S. Melis, C. Simos, A. Bogris, I. Simos, A. Fichtner. (2023). DAS for Regional Earthquake Monitoring in Athens, Greece. XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG).
25. A. Bogris, T. Nikas, C. Simos, I. Simos, K. Lentas, N.S. Melis, A. Fichtner. (2022). Microwave Frequency Fiber Interferometry (MFFI): A Promising Technique for Earthquake detection in Commercially Deployed Cables. AGU Fall Meeting Abstracts, S16A-01.
26. K.T. Smolinski, D.C. Bowden, K. Lentas, N.S. Melis, C. Simos, A. Bogris, A. Fichtner. (2022). Exploring DAS as a Tool for Earthquake Monitoring in Urban Environments. AGU Fall Meeting Abstracts, S12E-0190.
27. C. Simos, A. Fichtner, A. Bogris, T. Nikas, D.C. Bowden, K. Lentas, N.S. Melis. (2022). Forward and inverse theory for phase transmission fiber optics. AGU Fall Meeting Abstracts, S12D-0183.
28. A. Bogris, K. Sozos, G. Sarantoglou, S. Deligiannidis and C. Mesaritakis, “Neuromorphic computing by means of recurrent spectrum slicing for next generation high baud rate transmission systems,” 2023 IEEE Photonics Society Summer Topicals Meeting Series (SUM), Sicily, Italy, 2023, pp. 1-2, doi: 10.1109/SUM57928.2023.10224454.
29. K. Sozos, S. Deligiannidis, C. Mesaritakis and A. Bogris, “Unconventional Computing based on Four Wave Mixing in Highly Nonlinear Media,” 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), Munich, Germany, 2023, pp. 1-1, doi: 10.1109/CLEO/Europe-EQEC57999.2023.10231929.
30. S. Deligiannidis et al., “Deep-Learning-Based VCSEL Transmitter Emulator,” 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), Munich, Germany, 2023, pp. 1-1, doi: 10.1109/CLEO/Europe-EQEC57999.2023.10232151.
31. C. Mesaritakis, G. Sarantoglou, A. Bogris “Bayesian Training in Reconfigurable Photonic Neuromorphic Meshes”, (invited) IEEE Workshop on Complexity in Engineering (COMPENG), Florence-Italy (2022)
32. Bowden, D., Fichtner, A., Nikas, T., Bogris, A., Lentas, K., Simos, C., … & Melis, N. (2022, May). Comparing two fiber-optic sensing systems: Distributed Acoustic Sensing and Direct Transmission. In EGU General Assembly Conference Abstracts (pp. EGU22-11599).
33. M. Skontranis, G. Sarantoglou, A. Bogris, C. Mesaritakis “Spectro-temporally Multiplexed Reservoir Computing Based on a Multimode Fabry Perot Laser” ECOC Basel – Switzerland 2022
34. Smolinski, K. T., Bowden, D. C., Lentas, K., Melis, N. S., Simos, C., Bogris, A., … & Fichtner, A. (2022, May). Distributed Acoustic Sensing in the Athens Metropolitan Area: Preliminary Results. In EGU General Assembly Conference Abstracts (pp. EGU22-11864)
35. A. Bogris, K Sozos, S. Deligiannidis, G. Sarantoglou, C. Mesaritakis, “Machine Learning and Neuromorphic Computing Approaches for the mitigation of transmission impairments in high baud rate transmission systems,” ECOC 2022 (Invited)
36. A. Tsirigotis, I. Tsilikas, K. Sozos, A. Bogris, C. Mesaritakis “Filter-Based Photonic Reservoir Computing as a key-enabling platform for all-optical high-speed processing of time-stretched images and telecomm data” (invited) SPIE Photonics West, AI and Optical Data Sciences III, San Francisco USA 24-26 February 2022.
37. A. Bogris, C. Simos, I. Simos, T. Nikas, N. Melis, K. Lentas. C. Mesaritakis, I. Chochliouros, C. Lessi, ” Microwave frequency dissemination systems as sensitive and low-cost interferometers for earthquake detection on commercially deployed fiber cables”, OFC 2022, San Francisco USA
38. G. Sarantoglou, K. Sozos, T. Kamalakis, C. Mesaritakis, A. Bogris, “Experimental demonstration of an extreme learning machine based on Fabry Perot lasers for parallel neuromorphic processing” OFC 2022, San Francisco USA
39. K. Sozos, A. Bogris, P. Bienstman, C. Mesaritakis, “Photonic Reservoir Computing based on Optical Filters in a Loop as a High Performance and Low-Power Consumption Equalizer for 100 Gbaud Direct Detection Systems” ECOC, Bordeaux France 2021
40. A. Bogris, K. Sozos, A. Tsirigotis, C. Mesaritakis, “Neuromorphic Integrated Photonics as Hardware Accelerators for Ultra-high Speed Telecom and Imaging Applications” Photonics in Switching and Computing, OSA Virtual Conference (invited) (2021) 
41. M. Skontranis, G. Sarantoglou, A. Bogris, C. Mesaritakis, “Photonic Spiking Convolutional Neural Networks for High-Speed Image Processing” (Invited) IEEE Summer Topical Meetings 2021 19- 21 July Virtual Conference (2021)
42. C. Mesaritakis, K. Sozos, D. Dermanis, A. Bogris, “Spatial Photonic Reservoir Computing based on Non-Linear Phase-to-Amplitude Conversion in Micro-Ring Resonators” OFC USA 2021
43. K. Sozos, C. Mesaritakis, A. Bogris, “Reservoir Computing based on Mutually Injected Phase Modulated Lasers: A monolithic integration approach suitable for short-reach communication systems”, OFC USA 2021
44. Y. Hong; S. Deligiannidis; N. Taengnoi; K. Bottrill; N. Thipparapu; Y. Wang; J. Sahu; D. Richardson; C. Mesaritakis; A. Bogris; P. Petropoulos, «Performance-enhanced Amplified O-band WDM
    Transmission using Machine Learning based Equalization» CLEO San Hose-USA (2021),
45. G. Sarantoglou, M. Skontranis,A. Bogris, C. Mesaritakis, “Resonate and Fire Neuromorphic Node based on two – section Quantum Dot Laser with multi-waveband dynamics”, ECOC-CLEO– Brussels, December (2020)
46. M. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. Mesaritakis,”Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network”, ECOC-CLEO– Brussels, December (2020)
47. S. Deligiannidis, C. Mesaritakis, A. Bogris, “Performance and Complexity Evaluation of Recurrent Neural Network Models for Fibre Nonlinear Equalization in Digital Coherent Systems”, ECOC – Brussels, December (2020)
48. Mesaritakis, M. Skontranis, G. Sarantoglou, A. Bogris, “Micro-Ring-Resonator Based Passive Photonic Spike-Time- Dependent-Plasticity Scheme for Unsupervised Learning in Optical Neural Networks” OFC USA – San Diego, March (2020)
49. Sarantoglou, M. Skontranis, A. Bogris, C. Mesaritakis, “Temporal Resolution Enhancement in Quantum-Dot Laser Neurons due to Ground State Quenching Effects” OFC USA – San Diego, March (2020)
50. A. Bogris “Multi-mode lasers as potential machines for reservoir computing of enhanced power” ERC International Workshop – Invited – Photonic Reservoir Computing and Information Processing in Complex Networks, Trento-Italy (2019)
51. Mesaritakis “Passive Photonic Components as Building Blocks for Ultra-Fast Reservoir Computing and as Photonic Spike Dependent Plasticity Enabling Structures” ERC International Workshop – Invited – Photonic Reservoir Computing and Information Processing in Complex Networks, Trento-Italy (2019)
52. Mesaritakis, “Photonic Reservoir Computing based on the Random-Interaction of Transverse Optical Modes in Large-Cross Section Waveguides” CLEO/EQEC Europe, Munich-Germany (2019)
53. Μ. Skontranis, G. Sarantoglou, C. Mesaritakis, “Inhibitory Integrate and Fire Neuron based on Quantum-Dot Intra-Band Transitions in a Semiconductor Laser” CLEO/EQEC Europe, Munich-Germany (2019)
54. Μ. Skontranis, G. Sarantoglou, C. Mesaritakis, “All-optical Inhibitory Integrate and Fire Neuron based on a Single-Section Quantum-Dot Semiconductor Laser” CLEO USA, San-Diego California USA (2019)

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RNCP NEWS

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background_repeat=”no-repeat” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” margin_top=”0px” margin_bottom=”0px” class=”” id=”” animation_type=”” animation_speed=”0.3″ animation_direction=”left” hide_on_mobile=”no” center_content=”no” min_height=”none” last=”true” hover_type=”none” link=”” border_position=”all” first=”true”][fusion_title margin_top=”0px” margin_bottom=”20px” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” size=”1″ content_align=”center” style_type=”none”]CONTACT RNCP[/fusion_title][fusion_separator style_type=”single” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” sep_color=”rgba(234,234,234,0.93)” top_margin=”30px” bottom_margin=”60px” border_size=”1px” width=”14%” alignment=”center” /][/fusion_builder_column][fusion_builder_column type=”1_2″ type=”1_2″ layout=”1_2″ center_content=”no” target=”_self” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” hover_type=”none” border_size=”0″ 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divider_position=”left” divider_candy=”top” bordersize=”1″ backgroundcolor=”#26326e” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” /][fusion_title title_type=”text” rotation_effect=”bounceIn” display_time=”1200″ highlight_effect=”circle” loop_animation=”off” highlight_width=”9″ highlight_top_margin=”0″ before_text=”” rotation_text=”” highlight_text=”” after_text=”” content_align=”left” size=”1″ font_size=”” animated_font_size=”” line_height=”” letter_spacing=”” text_color=”” animated_text_color=”” highlight_color=”” style_type=”default” sep_color=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=””]

Adonis Bogris

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abogris@uniwa.gr

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Charis Mesaritakis

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cmesar@uniwa.gr

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Ag. Spyridonos, 122 43 Egaleo,
Attica, Greece

email: Adonis Bogris: abogris@uniwa.gr || Charis Mesaritakis: cmesar@aegean.gr

web: rncp.eu

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