Title: From Communication to Sensing: Machine Learning in Optical Fiber Systems
Overview
- Date:Starts 29 January 2026, 13:00Ends 29 January 2026, 14:00
- Seats available:176
- Location:
- Language:English and Swedish
Welcome to the Promotion lecture by Christian Häger for Universitetslektor/Associate professor
Title: From Communication to Sensing: Machine Learning in Optical Fiber Systems
Abstract: "In this lecture, I will present an overview of our work on machine learning for optical fiber communication systems, with a focus on the physical layer. I will begin with a tutorial-style introduction to end-to-end autoencoder learning, where conventional transmitter and receiver algorithms are replaced by jointly optimized trainable models. I then discuss how domain knowledge and physical insights can be embedded into data-driven approaches to improve data efficiency, performance, and interpretability. Finally, I move beyond communication-centric design and address the emerging use of deployed telecommunication fibers as environmental sensors. In this context, I highlight our recent results on machine-learning-based event localization and outline open challenges and future research directions."
Welcome!
Christian Häger and Ragne Emardson
- Head of Department, Electrical Engineering