Former PhD student, Sebastian Cammerer, received this year‘s VDE ITG Dissertation Prize for his work ‚Trainable Communication Systems‘.
At the core of his work is the design and training of a "learning" system based on the concepts of Deep Learning. This resulted in the emergence of communication systems that can learn to communicate over a variety of channels - without needing a detailed mathematical abstraction of the channel model in advance.
Every year the VDE ITG selects up to three recipients from the field of information technology for the Dissertation prize. Winning dissertations are selected based on originality, theoretical/practical treatment of the subject, presentation and significance.
Sebastian completed his PhD at the Institute of Telecommunications in 2021 and now works as a research scientist for Nvidia. His research focuses on machine learning for wireless communications and channel coding. He is also one of the maintainers and developers of the Sionna open-source link-level simulator.