Mini Symposium, DTU: Machine Learning Techniques and Research Challenges

24 November 2021, online only

Mini-Symposium: Machine Learning Techniques and Research Challenges

The aim of this mini-symposium is increasing the ESRs’ knowledge in machine learning and the research challenges machine learning presents. There will be Q&A sessions after every talk, with high level discussions.

08:50-09:00 UK; 09:50-10:00 CET Opening
09:00-10:00 UK; 10:00-11:00 CET Prof. Darko Zibar, DTU (Technical University of Denmark), DenmarkOptimum phase measurement in the presence
of noise
Break 15 minutes
10:15-11:15 UK; 11:15-12:15 CET
Prof. Magnus Karlsson, Chalmers University of Technology, Sweden Modulation and shaping in optical communications
Lunch, 1 hour 45 minutes
13:00-14:00 UK; 14:00-15:00 CETProf. Vittorio Curri, Polytechnic University of Turin, ItalyExperimental results summary on using ML at the physical layer in synergy with GNPy
Break 15 minutes
14:15-15:15 UK; 15:15-16:15 CETAssociate Prof. Andrea Carena, Polytechnic University of Turin, ItalyML applications to optical systems and devices: from the design of Raman amplifiers to the management of NxN switches
15:15-15:30 UK; 16:15-16:30 CET Symposium Close

Symposium Speakers

magnus karlsson 2

Prof. Darko Zibar, DTU, Denmark
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).

Prof. Vittorio Curri, Politecnico di Torino, Italy
Prof. Vittorio Curri is External Advisor for MENTOR and a main supervisor for the Horizon2020 project, ETN WON (an ITN in wideband optical networks). He is a founding member of OptCom and of PhotonLab. He is currently Associate Professor at Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino. He has been visiting researcher at Stanford University and UC at Santa Barbara in 1997–98. His major research interests are in fiber transmission modeling, including nonlinearities, transmitter and receiver optimization for advanced modulation formats, design strategies for optical links, including PON’s, Raman amplification and simulation and modeling of optical communication systems. Recently, Prof. Curri has started to investigate the impact on physical layer on transparent network performances. Since 1998, Prof. Curri has developed software tools for simulation of optical systems. He has co-authored more than 180 technical publications, including two JLT best paper awards, and 3 patents. According to Scopus, Prof. Curri owns the following bibliometric parameters: overall citations of 2857 and h-index of 27.

Prof. Magnus Karlsson, Chalmers University of Technology, Sweden
Magnus Karlsson is professor in photonics, with focus on fiber optics and optical communications. His expertise is wave propagation in optical fibers, polariztion effects, nonlinearities and optical communications. Together with Prof. Peter Andrekson, he leads the fiber optics group at the Photonics Laboratory. In 2010 he co-founded the Fiber Optic communication Research CEnter (FORCE) at Chalmers. Besides teaching SSY085, “Wireless an Photonics System Engineering” and MCC046 “Photonics and Lasers” he is Deputy Editor for Optics Express, Assoc. Editor for J. Lightwave Technol., and member in the technical program committee for Conference on Lasers and Electro-Optics (CLEO). He is also vice-head of department at the Dept. of Microtechnology and Nanoscience, with responsibility for research and the graduate school.

Andrea Carena 2

Associate Professor Andrea Carena, Politecnico di Torino, Italy

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.

This symposium was co-organised by EIDs MENTOR, REAL-NET & FONTE and by ETN POST DIGITAL and Project MULTIPLY which are funded under EU H2020 MSCA grant agreements 956713, 813144, 766115, 860360 and 713694 respectively.

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