CELEBRATING JAN LARSEN’S LIFE AND CONTRIBUTIONS
14:30-16:30, September 18, 2023, Monday
Session Chair: Tülay Adali
Tülay Adali and the IEEE MLSP TC are glad and honoured to organize a session in memory of Jan Larsen, to celebrate all together his life and contributions. The detailed program of the session is reported below.
- 14:30-15:00
Jan Larsen and NNSP/MLSP
Tulay Adali, University of Maryland Baltimore County and Tommy Sonne Alstrøm, Technical University of Denmark - 15:00-15:10
Larsen’s Learning to Generalize
Lars Kai Hansen, Technical University of Denmark - 15:10-15:20
Speech Brain Computer Interfaces: Can it Give a Voice to the Voiceless?
Marc Van Hulle, Katholieke Universiteit Leuven - 15:20-15:40
Adversarial Learning and the Transcendent Challenge of Robust AI
David Miller, The Pennsylvania State University - 15:40-15:50
On Jan’s Research and Contributions to MLSP
Jen-Tzung Chien, National Chiao Tung University - 15:50-16:10
A Journey on Deploying Bayesian Optimization in a Real-world Product
Jens Brehm Bagger Nielsen, Head of AI Accelerator, WSAudiology - 16:10-16:30
Bridging Machine Learning Research with Innovation and Health – The Other Half of Jan Larsen’s Career
Niels Henrik Pontoppidan, Principal Scientist, Eriksholm Research Centre
EXPLAINABLE AND RELIABLE MACHINE LEARNING IN SIGNALS & DATA SCIENCE
14:30-16:30, September 19, 2023, Tuesday
Session Chair: Zheng-Hua Tan
Machine learning, especially deep learning, has garnered remarkable success across various domains, serving as the driving force behind the ongoing AI revolution. Despite the success, there is a growing need to ensure that machine learning models are explainable, reliable, and sustainable for signal and data science applications. This thematic session is part of a series of efforts aimed at promoting activities and nurturing cross-disciplinary collaboration in AI. It follows two noteworthy events: a) NSF-IEEE Workshop: Toward Explainable, Reliable, and Sustainable Machine Learning in Signal and Data Science, March 2023, College Park, MD and b) IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Series on AI in Signal & Data Science – Toward Explainable, Reliable, and Sustainable Machine Learning.
Session panellists:
- Tülay Adali (University of Maryland Baltimore County, USA)
- Klaus-Robert Müller (TU Berlin, Germany)
- David Miller (Pennsylvania State University, USA)
- Sijia Liu (Michigan State University, USA)