New SPS Panel Series: The Impact of Recent ML & AI Advancements in Signal Processing Education

Date: 23 October 2023
Time: 1:00 PM - 3:00 PM ET (New York Time)
Panelists: Alan Bovik, Edward J. Delp, Sharon Gannot, Aggelos K. Katsaggelos
Anna Scaglione, Andreas Spanias

Join us for the inaugural SPS Panel Series sponsored by the Education Board to learn and discuss how recent advances in machine learning and artificial intelligence are impacting how we educate the next generation of signal processing practitioners and researchers.

Questions such as “How should signal processing education be adapted to incorporate recent advancements in ML and AI?”, “How do you envision SP laboratory assignments to change?”, “How do you think ML/AI tools will impact the way we advance SP technologies?” will be discussed by a panel of expert signal processing educators.

Don’t miss this opportunity to join the conversation on how AI and ML are reshaping signal processing! The roundtable discussion will conclude with a Q&A session from the audience.

Organizers and Moderators

• Marios Pattichis, Professor, Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, New Mexico, USA.
• Andres Kwasinski, Professor, Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York, USA.

Panelists

Alan Bovik
The Cockrell Family Endowed Regents Chair in Engineering,
Chandra Family Department of Electrical and Computer Engineering,
Cockrell School of Engineering,
The University of Texas at Austin, Austin, Texas, USA.

Edward J. Delp
The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering,
Professor of Biomedical Engineering, and Professor of Psychological Sciences (Courtesy),
Purdue University, West Lafayette, Indiana, USA.

Sharon Gannot
Professor with the Faculty of Engineering, Bar-Ilan
University, Ramat-Gan, Israel
Chair, Signal Processing Society Data Science Initiative (DSI)

Aggelos K. Katsaggelos
Joseph Cummings Professor of Electrical and Computer Engineering and (by courtesy)
omputer Science and Radiology,
Department of Electrical and Computer Engineering,
McCormick School of Engineering,
Northwestern University, Evanston, Illinois, USA.

Anna Scaglione
Professor in electrical and computer engineering
at Cornell University and Cornell Tech,
Ithaca and New York City, New York, USA.

Andreas Spanias
Professor in Digital Signal Processing, S
School of Electrical, Computer, and Energy Engineering,
Ira A. Fulton Schools of Engineering,
Arizona State University, Tempe, Arizona, USA.