Mini-Symposium: ‘Introduction to Photonic Reservoir Computing’

This mini-symposia is organised jointly between FONTE and its sister project POST-DIGITAL and MOCCA.

24th Feb 2021 virtually and online (due to the COVID-19 pandemic).

  Chair: Peter Bienstman, IMEC, Belgium
10:00-10:10 Peter Bienstman
Professor at the Department of Information Technology, UGent Belgium
Opening remarks
10:10-11:20 Herbert Jaeger
Professor of Computing in Cognitive Materials, head of the MINDS group
University of Groningen, The Netherlands
An Introduction to Echo State Networks
11:20-11:30 Coffee Break
11:30- 12:15 Lorenzo De Marinis
PhD student
Institute of Communication, lnformation and Perception Technologies (TeCIP)
SantâAnna School of Advanced Studies- Pisa, Italy
Title: Photonic Neuromorphic Computing: an overview of optics for AI
12:15-1:00 Danijela Markovic, Postdoctoral Research Fellow
The French National Centre for Scientific Research, France
Title: Reservoir computing with spin-torque nano-oscillators
1:00-1:45 Lunch Break
1:45-2:30 Julien Sylvestre,
Professor Universite de Sherbrooke
Title: Integrating Sensing and Computing in MEMS


Herbert Jaeger is full Professor for Computing in Cognitive Materials at the Rijksuniversiteit Groningen (RUG) and head of the MINDS Group ”Modeling Intelligent Dynamical Systems”. He studied mathematics and psychology at the University of Freiburg and obtained his PhD in Computer Science (Artificial Intelligence) at the University of Bielefeld in 1994. After a 5-year postdoctoral fellowship at the German National Research Center for Computer Science (Sankt Augustin, Germany) he headed the “Intelligent Dynamical Systems” group at the Fraunhofer Institute for Autonomous Intelligent Systems AIS (Sankt Augustin, Germany). In 2003 he was appointed as Associate Professor for Computational Science at Jacobs University Bremen, where he stayed until he moved to RUG in 2019. Herbert Jaeger is one of several lucky independent co-discoverers of the “reservoir computing” principle for training recurrent neural networks.


Lorenzo de Marinis received his B.S. degree and M.S. degree magna cum laude in electronic engineering from the University of Pisa, respectively in 2017 and 2019. He was a research scholar at Scuola Superiore Sant’Anna, Pisa from May to September 2019. He is currently a Ph.D. student at Scuola Superiore Sant’Anna working on photonic integrated circuit design for neuromorphic computing with a focus on electronic-photonic codesign and analog computing.




Danijela Markovic has obtained her PhD at Ecole Normale Superieure in Paris, on quantum information with superconducting circuits. She currently works at the CNRS/Thales Laboratory at Palaiseau, France on neuromorphic computing with spin torque nano-oscillators





Julien Sylvestre received the B.Sc. degree in physics from McGill University (Montréal, Canada) in 1998, and the Ph.D. degree in physics from the Massachusetts Institute of Technology (Cambridge, USA) in 2002, for a thesis in gravitational waves astronomy under the supervision of Rai Weiss (2017 Nobel prize). He was a Post-Doctoral Scholar at the California Institute of Technology and at NASA’s Jet Propulsion Laboratory (Pasadena, USA) until 2004, when he joined the IBM Corporation (Bromont, Canada), where he worked in microelectronics R&D as principal technical professional in the Systems and Technology Group. He joined the University of Sherbrooke in 2014, where he is now a Professor of Mechanical Engineering and chairholder of the NSERC/IBM Canada Industrial Research Chair. He is the founder and CTO of Dekko Technologies. His research interests include many aspects of thermal and mechanical phenomena in microsystems, including numerical simulation methods, cooling, reliability, MEMS and the integration of advanced functionalities, such as photonics and machine learning.