Time | Speaker/Item | Topic |
---|---|---|
08:50-09:00 UK; 09:50-10:00 CET | Opening, Prof. Darko Zibar, DTU | |
09:00-10:00 UK; 10:00-11:00 CET | Dr. Ognejn Jovanovic (Technical University of Denmark), Denmark | End-to-end learning for the nonlinear fiber channel |
Break 15 minutes | ||
10:15-11:15 UK; 11:15-12:15 CET | Dr. Muralikrishnan Srinivasan, Chalmers University of Technology, Sweden | VCSEL-based Optical Interconnects: Learning Opportunities |
Break 15 minutes | ||
11:30-12:30 UK; 12:30-13:30 CET | Dr. Carlos Natalino Da Silva, Chalmers University of Technology, Sweden | Scaling ML from limited to wide use: challenges and opportunities |
Lunch, 1 hour 30 minutes | ||
14:00-15:00 UK; 15:00-16:00 CET | Dr. Maria Chernysheva, Leibniz-IPHT of the Leibniz Institute of Photonic Technology | Prospects of machine learning for ultrashort pulse dynamics in fibre lasers |
Break 15 minutes | ||
15:15-16:15 UK; 16:15-17:15 CET | Associate Prof. Andrea Carena, Polytechnic University of Turin, Italy | Modeling and optimization of short reach SWDM links based on cost-effective VCSELs ans MMFs |
16:15-16:30 UK; 17:15-17:30 CET | Symposium Close | |
Prof. Darko Zibar, DTU, Denmark @DarkoZibar14
Symposium organiser Darko Zibar is a recruiting partner in Project MENTOR and supervising Early Researcher 2. He is Professor at the Department of Photonics Engineering, Technical University of Denmark and the group leader of Machine Learning in Photonics Systems (M-LiPS) group. He has been visiting researcher with the Optoelectronic Research Group at the University of California, Santa Barbara, (UCSB) and with Nokia-Siemens Networks. His research efforts currently focus on the application of machine learning techniques to advance classical and quantum optical communication and measurement systems. Some of his major scientific contributions include: record capacity hybrid optical-wireless link (2011), record sensitive optical phase noise measurement technique that approaches the quantum limit (2019) and design of ultrawide band arbitrary gain Raman amplifier (2019). He was a part of the team that won the HORIZON 2020 prize for breaking the optical transmission barriers (2016).
Dr. Ognejn Jovanovic, Technical University of Denmark (DTU), Denmark @OgnjenJ61190630
Dr. Ognjen Jovanovic is a postdoctoral researcher with Prof. Darko Zibar in the Machine Learning in Photonics Systems group at the Department of Electrical and Photonics Engineering, Technical University of Denmark. During his PhD studies, the focus of his research was on using end-to-end learning to improve classical optical communication systems. Currently, he is working on applying similar approaches on quantum optical communication. At ECOC 2021, he was the runner up for the best student paper award. In 2022, he was a visiting scientist at ADVA Optical Networking, Munich, Germany.
Dr. Muralikrishnan Srinivasan, Chalmers University of Technology, Sweden
Muralikrishnan Srinivasan is a postdoctoral researcher with Prof Henk Wymeersch at the Dept. of Electrical Engineering, Chalmers University of Technology, Sweden. At Chalmers, he works on the “HOT-OPTICS” project led by Prof Anders Larsson. The project aims to develop optical interconnects used in data centers and vehicles with very high throughput and efficiency. In 2021, he worked as a postdoctoral researcher at ETIS, ENSEA, Cergy France, on Physical Layer Security (PLS) with Prof. Arsenia Chorti. He is also currently a part of the IEEE INGR pre-standardization working group for PLS. In 2020, he received his doctoral degree from the Indian Institute of Technology Madras after conducting his doctoral research on approximate models for generalized fading channels. His research interests include machine learning for wireless communication systems, optical interconnects, physical layer security, massive multiple-input-multiple-output systems, aerial base stations, air-corridors, hypergeometric functions, and extreme-value theory.
Dr. Carlos Natalino da Silva, Chalmers University of Technology, Sweden @NatalinoCarlos
Carlos Natalino is a researcher with the Optical Networks Unit, focusing on the application of machine learning in the context of network automation. Among the main topics are the design and management of optical networks and cloud computing infrastructures, with special focus on resource and energy efficiency, security, reliability and survivability. He has been involved in several national and international projects funded by European, Swedish, and Brazilian research bodies. He has also been involved in teaching computer programming courses in Brazil and Sweden. He has served as TPC member of several international conferences.
Dr. Maria Chernysheva, Leibniz-IPHT of the Leibniz Institute of Photonic Technology @MAChernysheva
Dr. Maria Chernysheva’s research background is in laser physics, exploring and engineering novel ultrafast fibre laser configurations and amplification systems. Her current vision is moving towards ultrafast Mid-IR generation for potential applications for vibration spectroscopy diagnostics. Maria obtained her PhD degree in Laser Physics from Fiber Optics Research Center of the Russian Academy of Sciences in 2014. She moved to UK shortly after where she worked at Aston University as Research Fellow. Maria has won two highly competitive and prestigious Fellowships in three years: Marie Skłodowska-Curie Individual Fellowship (EU Horizon2020) and Engnineering for Development Research Fellowship from Royal Academy of Engineering and Global Challenges Research Fund. From beginning of 2019 Dr. Chernysheva has been a leader of Junior Research Group “Ultrafast fibre lasers” at Leibniz-IPHT (Jena). In 2022, she has been selected a Senior Member in Optica society and awarded with Global Award for Women in Ultrafast Science. Maria serves as a member of Editorial board for Optics Letters (Optica) and Applied Physics B (Springer) and subcommittee chair at CLEO conference for Fibre photonics. Her track record includes 38 journal and conference peer-reviewed publications, and including 10 invited and keynote talks.
Associate Professor Andrea Carena, Politecnico di Torino, Italy
Assoc. Prof. Andrea Carena is Associate Professor in the Optical Communication Group at Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino. In 1998. He has been a Visiting Researcher with the Optical Communication and Photonic Network Group, University of California, Santa Barbara, CA, USA, directed by Prof. Blumenthal. He collaborated in the development and implementation of OptSim, an optical transmission system simulator. His research interests are in the physical layer design of optical communication systems: coherently detected systems, digital signal processing techniques for advanced modulation formats, digital nonlinearity mitigation, Nyquist-WDM, multi-subcarrier systems, modelling of non-linear fiber propagation, and algorithm for computer simulation of fiber propagation. Recently he started to work on the application of Machine Learning to optical communications and on Spatial Division Multiplexed systems. He has co-authored more than 200 scientific publications. In 2014 and 2015, he received the IEEE/OSA “Journal of Lightwave Technology” Best Paper Award. He is Associate Editor for the IEEE Open Journal of the Communications Society in the area of Optical Communications and Networks.