Mini-symposium on ML

Mini-Symposium on Machine Learning

Due to the COVID-19 outbreak the Training will be held virtually and online.

Location, date


DAY ONE – Monday 7th September 2020. Please note BST time is in the agenda.

08:20 – 8:30               Opening 

08:30 – 10:30             Assoc. Prof. Darko Zibar, Assoc Professor DTU FOTONIK, Dep of Photonics Engineering
Introduction to machine learning and neural networks in particular

10:30 – 10.45              Break

10:45 – 12:45              Continuation of the Prof. Darko Zibar’s talk

12:45 – 14:00              Lunch

14:00 – 15:00              Dr. Morteza Kamalian-Kopae, Research Associate at the Institute of Photonics, Aston University
Machine learning-based equalisation in fibre-optic communication


15:00 – 15:15              Break

15:15 – 16:15              Dr.Milad Sefidgaran, Postdoctoral fellow at Telecom Paris.
Title: Information theory of the optical fibre


DAY TWO – Tuesday 8th September 2020

13:20 – 13:30              Opening

13:30 – 14:30              Prof. David Saad, Professor in mathematics, Aston University         

14:30 – 14:45              Break

14:45 – 15:45              Dr. Jelena Pesic & Dr. Matteo Lonardi, Nokia bell labs
TitleWill Machine Learning mitigate the extra cost of increase in capacity

15:45 – 16:00              Break

16:00 – 17:00                Prof. Nathan Kutz, Prof. Applied Mathematics, University of Washington

17:00 – 17:10                Closing

Prof. Darko Zibar
Assoc Professor DTU FOTONIK, Dep of Photonics Engineering
Darko Zibar is Associate 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 received M.Sc. degree in telecommunication and the Ph.D. degree in optical communications from the Technical University of Denmark, in 2004 and 2007, respectively. His resrearch efforts are currently focused on the application of machine learning technqiues 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 ultra-wide band arbitrary gain Raman amplifier (2019).
Prof. David Saad
Professor in Mathematics, Aston University
David Saad holds the 50th Anniversary Chair of Complexity Physics at Aston University, Birmingham UK. He received a BA in Physics and a BSc in Electrical Engineering from the Technion, Haifa, Israel (1982), an MSc in Physics (1987) and a PhD in Electrical Engineering (1993) from Tel-Aviv University. He joined the Physics Department at the University of Edinburgh in 1992 and Aston University in 1995. His research, published in over 200 journal and conference papers, focuses on the application of methods from statistical physics and Bayesian statistics to a range of fields, which include neural networks, error-correcting codes, multi-node communication, network optimisation, routing, noisy computation, epidemic spreading and advanced inference methods.
Dr. Jelena Pesic
Systems Integration Specialist at Nokia Business Group, ION IP Optical Networks
Systems Integration Specialist at Nokia Business Group, ION IP Optical Networks WDM technical expertise on the basis of the Nokia IP Transport product portfolio Research engineer in Nokia Bell labs OSA Ambassador (The Optical Society of America)
Dr. Morteza Kamalian-Kopae
Research Associate at the Institute of Photonics, Aston University
Morteza Kamalian-Kopae received his BSc in electrical engineering from Isfahan University of Technology, Isfahan, Iran, his MSc in communication engineering from Yazd University, Yazd, Iran, and his PhD in electrical engineering from Aston University, Birmingham, UK. Since graduation, he has been with Aston Institute of Photonic Technologies (AIPT) as a research fellow working on nonlinear Fourier transform, in particular, for periodic solutions of the nonlinear Schrödinger equation. His research interests include signal processing in optical communication, analysis of nonlinear dynamics, and wireless communication systems.
Dr. Milad Sefidgaran
Department of Communications and Electronics Télécom ParisTech Paris, France
Milad Sefidgaran got his BSc and MSc in Telecommunication from University of Tehran and Sharif University of Technology in 2007 and 2009, respectively. Then, he pursued his research on information theory and received his PhD from Telecom ParisTech in 2013. Between 2013 and 2015 he was a postdoctoral associate at Telecom ParisTech and Sharif University of Technology. Then, he joined someTelecom companies as ZTE and Huawei. His main research interests are information theory, wireless networks, and cellular technologies.
Prof. Nathan Kutz
University of Washington
Professor Kutz was awarded the B.S. in Physics and Mathematics from the University of Washington in 1990 and the PhD in Applied Mathematics from Northwestern University in 1994. Following postdoctoral fellwoships at the Institute for Mathematics and its Applications (University of Minnesota, 1994-1995) and Princeton University (1995-1997), he joined the faculty of applied mathematics and served as Chair from 2007-2015.
Dr.Matteo Lonardi
Nokia Bell Labs
Dr. Matteo Lonardi obtained his BSc in Computer Engineering in 2012, his MSc in Communications Engineering in 2016 and his PhD in Information Technology (Optical Communications) at the Università degli Studi di Parma. Later he worked as researcher at the Unversità deli Studi di Parma, investigating the assessment, estimation, and monitoring of performance in dynamic modern optical communication systems developed to fight the expected capacity shortage. In March 2018 Matteo joined the Nokia Bell Labs as visiting researcher. Since November 2019 he is working as Research Engineer at Nokia Bell Labs.