Mini-Symposium Integrated photonic reservoir computing for telecom applications
organised by Prof Peter Bienstman, IMEC, Belgium
Date: 9 December 2022, 9-12h CET
Format: free, online
Registration: https://bit.ly/3sPWhsy After registration you will receive the participation link
Speakers and Topics:
Dr Min Yan, Huawei
Topic: Opportunities for Reservoir Computing in the Next-Generation Optical Networks
Dr. Yan, Min received her B.S. degree in optical information science and technology from Xi’an Jiao Tong University (China) in 2013. Then She got Ph.D. degree in computational neuroscience in 2019 from Hong Kong University of Science and Technology. From 2013 to 2019, she mainly focused on illustrations of brain mechanisms with Continuous Attractor Neural Networks (CANNs). In 2020, she joined Theory Lab, Hong Kong Research Center, Huawei as a researcher. Currently her research interest is on reservoir computing and optimization algorithms in optical fiber transmission.
Prof Charis Mesaritakis, University of the Aegean, Greece
Topic: Spatial Reservoir Computing, the spectrum slicer accelerator paradigm
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.
Dr Francesco Da Ros, DTU, Denmark
Topic: Reservoir-computing and neural-network-based equalization for short reach communication
Dr Francesco Da Ros received his B.Sc. degree in information engineering from Università degli Studi di Padova, Italy, in 2008. He also received a dual M.Sc. degree in telecommunication engineering from Università degli Studi di Padova, Italy, and Technical University of Denmark, Denmark, in 2011 and the Ph.D. degree from the Technical University of Denmark in 2014. Between 2013 and 2014, he spent a seven-month research stay at Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institute, Germany. Between 2015 and 2017, he has been working as a post-doc researcher at the Department of Photonics Engineering at DTU within the Center for Silicon Photonics for Optical Communications (SPOC) focusing on all-optical signal processing and nonlinearity compensation techniques for optical transmission systems. During that period, he spent a month working at the Aston Institute of Photonic Technologies (AIPT) on optical phase conjugation under Prof. Andrew Ellis. He is currently involved within the ERC consolidator grant FRECOM under Assoc. Prof. Darko Zibar, focusing on the inverse scattering transform and machine learning techniques applied to coherent communications. Dr. Da Ros has co-authored more than 100 journal and conference papers, he is a OSA Young Professional Volunteer member, an IEEE Young Professional member and has been serving as technical subcommittee member of the Conference on Lasers and Electro Optics (CLEO) since 2018.
Prof Adonis Bogris, University of West Attica, Greece
Topic: Machine learning and reservoir computing approaches in high baud rate communication systems
Prof Adonis Bogris received a B.S. degree in informatics, a M.Sc. degree in telecommunications, and a Ph.D. degree from the National and Kapodistrian University of Athens, Athens, in 1997, 1999, and 2005, respectively. From 2005 to 2010 he served as a research associate at the Optical Communications Laboratory, National and Kapodistrian University of Athens. From 2010 to 2018, he was with the Department of Informatics of the Technological Educational Institute of Athens, Greece. Since 2018, he is with the University of West Attica where now serves as a professor. His current research interests include high-speed all-optical transmission systems and networks, nonlinear effects in optical fibers and photonic waveguides, all-optical signal processing, neuromorphic computing, mid-infrared photonics, security at the physical layer, fiber sensing and fiber-optic seismology. He has authored or co-authored more than 170 articles published in international high impact scientific journals and conference proceedings. Dr. A. Bogris is the director of PDSN lab (PDSN, www.pdsn.uniwa.gr) and co-director of the research unit in neuromorphic computing and photonics (RNCP, rncp.eu) with strong involvement in European research projects in the field of photonic technologies and their applications in numerous sectors. Dr. Bogris also serves as a reviewer for the journals of the IEEE, Elsevier, Nature and the Optica (formerly OSA). He is an Optica senior member and an associate editor for Optics Continuum of Optica Publishing Group. He has served as a member of the Technical Programme Committee in major conferences in photonics and optical communications (ECOC, MWP, CLEO, ESLW). He also serves as a member of the Greek Universities Network (GUnet) and the Greek School Network (www.sch.gr) representing University of West Attica.
Guillermo von Hünefeld, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI, Germany
Topic: Optimization of SOI-based PIC neuromorphic computing for optical modulation format identification
After finishing his Master’s degree in Electrical Engineering at the Technical University of Berlin in the year 2018, Guillermo started working as a research assistant at the both his university and at Fraunhofer IZM, focusing on the design and simulation of photonic components and systems. He was involved industry projects and in the European project L3MATRIX.
He started his PhD on neuromorphic photonics in the year 2021 and currently works as a research assistant at both the Technical University of Berlin and at Fraunhofer HHI. His is an active contributor of the CETLIC-NEXT AI-NET PROTECT and 6G-RIC projects.
9 – 12h Brussels time
– 9:00: Dr Yan Min (Huawei): Opportunities for Reservoir Computing in the Next-Generation Optical Networks
– 9:30: Prof Charis Mesaritakis (University of the Aegean): Spatial Reservoir Computing, the spectrum slicer accelerator paradigm
– 10:00: Dr Francesco Da Ros (DTU): Reservoir-computing and neural-network-based equalization for short reach communication
– 10:30: break
– 11:00: Prof Adonis Bogris (University of West Attica): Machine learning and reservoir computing approaches in high baud rate communication systems
– 11:30: Guillermo von Hünefeld (HHI): Optimization of SOI-based PIC neuromorphic computing for optical modulation format identificatio