Eighth Van Der Meulen Seminar: Neural Networks in Communication Systems

Nowadays human society is deeply shaped by digital revolution, where vast global internet traffic is flowing through fibers, free space to reach everyone’s devices. Data-carrying capability of wired or wireless communication systems asymptotically reaches the bottleneck, because current analytical DSP techniques are faced with a dilemma of good performance and low complexity. Unlike analytical DSP techniques, neural networks, which use computational methods to “learn” information directly from data without relying on a predetermined equation as a model, are emerging as promising solutions in various fields such as artificial intelligence and data mining. In the field of communication engineering, neural networks become increasingly popular owing to great potential in performance monitoring, fiber nonlinearity mitigation, and modulation format recognition. The 8th Van der Meulen Seminar focuses on new directions in studying neural networks for communication systems. (Download seminar schedule here)

Organizers: Alex Alvarado (Eindhoven University of Technology) and Frans Willems (Eindhoven University of Technology).

CONFIRMED INVITED SPEAKERS

Prof. Laurent Schmalen (Karlsruhe Institute of Technology)

Dr. Christian Häger (Chalmers University of Technology)

Dr. Jakob Hoydis (Nokia Bell Labs)

REGISTRATION

Attendance is free of charge, but the space is limited. Morning session (09.30 - 12.30) is limited to 40 participants, and afternoon session (14.00 - 16.45) is limited to 60 participants.

If you are interested in joining, please follow this link here to register online or send an email to (Y.C.G.Gultekin@tue.nl) or (K.WU@tue.nl).

The deadline for registration: 6, December.

PROGRAM

Friday, December 13, 2019

Location: Eindhoven University of technology (TU/e), Atlas 6.225

09.30 - 10.00

  • Registration & Welcome Coffee

10.00 - 11.00

  • Workshop Session I, Hands-on workshop on Machine Learning in Python (TensorFlow 2.0), Kadir Gümüş and Rick M. Bütler

11.00 - 11.15

  • Break (coffee/tea)

11.15 - 12.30

  • Workshop Session II, Hands-on workshop on Machine Learning in Python (TensorFlow 2.0), Kadir Gümüş and Rick M. Bütler

12.30 - 14.00

  • Lunch, De Zwarte Doos (not covered by organizers)

14.00 - 14.45

  • Prof. Laurent Schmalen, “End-to-end Deep Learning of Optical Fiber Communications”

14.45 - 15.30

  • Dr. Christian Häger, “Machine Learning for Joint Digital Backpropagation and PMD Compensation”

15.30 - 14.00

  • Break (coffee/tea)

16.00 - 16.45

  • Dr. Jakob Hoydis, “Recent Progress in End-to-End Learning for the Physical Layer”

17.00 - 18.30

  • Closing Drinks, University Club (covered by organizers)

SUPPORTED BY