NEuromorphic Reconfigurable Integrated
photonic Circuits as artificial image processor
NEuromorphic Processor Based on qUantum-Dot LAsers Deep Learning in Optical Communication Systems

RESEARCH UNIT ON NEUROMORPHIC COMPUTING AND PHOTONICS (RNCP)

REASEARCH ACTIVITIES

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.

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.

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

 

RNCP PROJECTS

RNCP PEOPLE

RNCP Unit Directors

<b>Adonis Bogris</b>
Adonis BogrisProfessor
Adonis Bogris was born in Athens. He received the B.S. degree in informatics, the M.Sc. degree in telecommunications, and the Ph.D. degree from the National and Kapodistrian University of Athens, Athens, in 1997, 1999, and 2005, respectively. His doctoral
thesis was on all-optical
processing by means of fiber-based devices. He is currently 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 150 articles published in international scientific journals and conference proceedings and he has participated in plethora of
EU and national research projects. His current research interests
include high-speed all-optical transmission systems and
networks, nonlinear effects in optical fibers, all-optical signal
processing, neuromorphic photonics, mid-infrared photonics
and cryptography at the physical layer. Dr. Bogris serves as a
reviewer for the journals of the IEEE and OSA.
<b>Charis Mesaritakis</b>
Charis MesaritakisAssociate Professor
Prof. Charis Mesaritakis acquired his diplom, M.Sc and Ph.D from National and Kapodistrian Univeristy of Athens (Greece). His Ph.D thesis focused on the experimental characterization and numerical modelling of novel regimes of quantum dot mode locked lasers. He has participated as a researcher in 10 FP6-FP7 and Horizon2020 EU projects. He has been awarded a postdoctoral EU Marie-Curie Fellowship, involving high precision laser telemetry in III-V Labs (France); Followed by two competitive national research grants, PROMITHEAS from the G. Latsis foundation and HFRI-GSRT NEBULA, both focusing on the investigation of photonic neuromorphic technologies and photonic machine learning. Currently he serves as technical manager for the H2020 NEoteRIC project also focusing on photonic neuromorphic paradigms. Since 2019, he is an associate professor at the department of Information and Communication Systems Engineering at the University of the Aegean, splitting his research interest among design/implement photonic neuromorphic systems for high bandwidth applications and photonic physical layer cryptographic modules (Η2020 KONFIDO, GSRT- SAFE-IT). He is author and co-author of more than 70 publications in highly cited journals and international conferences focusing on quantum-dot laser dynamics, neuromorphic schemes and physical layer security. He is a patent holder for photonic-physical unclonable functions modules for implementing physical layer security. He serves as regular reviewer for IEEE, OSA, AIP and Springer Journals whereas he serves as guest editor for MDPI’s Applied Sciences journal.


Mesaritakis CV

RNCP Researchers – PhD Students

<b>Stavros Deligiannidis</b>
Stavros Deligiannidis
Stavros Deligiannidis holds a BSc in Physics, a MSc degree in Microelectronics and VLSI from the National and Kapodistrian University of Athens. Since 2010 he is with the Department of Computer Engineering of the Technological Educational Institute of Peloponesse, Greece where he serves as a Lecturer. He is currently pursuing his PhD
degree at the University of West Attica in the field of novel signal processing techniques for optical communication systems under the supervision of Prof. Adonis Bogris. 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.
<b>Dimitris Dermanis</b>
Dimitris Dermanis
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.
<b>George Sarantoglou</b>
George Sarantoglou
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.
<b>Menelaos Skontranis</b>
Menelaos Skontranis
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.
<b>Kostas Sozos</b>
Kostas Sozos
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.
<b>Giannis Tsilikas</b>
Giannis Tsilikas
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.
<b>Aris Tsirigotis</b>
Aris Tsirigotis
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.

RNCP PUBLICATIONS

Publications in international scientific journals

  1. M. Skontranis, G. Sarantoglou, S. Deligiannidis, A. Bogris, C. MesaritakisT, “Time-Multiplexed Spiking Convolutional Neural Network based on VCSELs for Unsupervised Image Classification”, Applied Sciences, accepted for publication (2021) (Impact Factor: 2,474)
  2. 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) (Impact Factor: 6.099)
  3. 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) (Impact Factor: 2.471)
  4. 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) (Impact Factor: 4.681)
  5. 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)
  6. 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) (Impact Factor: 4.288)
  7. 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) (Impact Factor: 4.681)

Conference Proceedings

  1. 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 Jose, California (2021)
  2. 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)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. Mesaritakis, “Photonic Reservoir Computing based on the Random-Interaction of Transverse Optical Modes in Large-Cross Section Waveguides” CLEO/EQEC Europe, Munich-Germany (2019)
  9. 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)
  10. 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)

CONTACT RNCP

Adonis Bogris

Charis Mesaritakis

    Follow RNCP On Social Media

    RNCP

    Ag. Spyridonos, 122 43 Egaleo,
    Attica, Greece

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

    web: rncp.eu