How Do We Teach Signal Processing Courses in the Era of AI?

Abstract:

It has been two years since the first SPS Panel was sponsored by the Education Board. Since then, AI technology has continued to grow rapidly, having a profound impact on Signal Processing education. Join us for a new edition of the SPS Panel series, where we will bring back members from the first panel to discuss how signal processing education has been evolving, and how it needs to change to address the new challenges posed by this rapid growth. 

In this free special event, we will be discussing questions such as “How can the use of AI tools help or harm the teaching and student learning of basic Signal and Image Processing concepts?”; “How do we adjust homework assignments and exams given the broader use of AI tools in developing digital signal and image processing systems?”; and “How should we prepare the next generation of students, given the challenges for them to obtain entry-level jobs?” 

Don’t miss the 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.

About the Panelists:

Al Bovik holds the Provost’s Endowed Chair of Engineering at the University of Colorado Boulder, where he is Director of Colorado’s Laboratory for Image and Video Engineering (LIVE). He has taught image and video processing for more than 40 years and publishes often on image processing education. His interests include visual neuroscience applied to digital photography, streaming video, extended reality, and social media. 

He co-created and was EIC of IEEE Transactions on Image Processing and founded the IEEE International Conference on Image Processing. Along the way he received the IEEE SPS Gauss Education Award, a Primetime Emmy Award, a Technology & Engineering Emmy Award, the John Fritz Medal, and the IEEE Edison Medal. He is a member of the US NAE and a Life Fellow of the IEEE.

Edward J. Delp is currently The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering. His research interests include image analysis, computer vision, machine learning, image and video compression, multimedia security, medical imaging, multimedia systems, communication, and information theory. 

He is a Fellow of the IEEE, a Fellow of ACM, a Fellow of the SPIE, a Fellow of the Society for Imaging Science and Technology (IS&T), and a Fellow of the American Institute of Medical and Biological Engineering.

Sharon Gannot is a Professor and Vice Dean of the Faculty of Engineering at Bar-Ilan University, Israel, where he has received the Best Lecturer Award twice. 

He serves on the editorial board of IEEE Signal Processing Magazine and is the chair of the IEEE-SPS Data Science Initiative. He also serves as the Editor-in-Chief for Elsevier Speech Communication. Previously, he chaired the IEEE-SPS Audio and Acoustic Signal Processing Technical Committee and was the general co-chair of Interspeech 2024. He has published over 350 peer-reviewed publications in audio processing. He is also a recipient of the EURASIP Group Technical Achievement Award and a Fellow of the IEEE.

Aggelos K. Katsaggelos is the Joseph Cummings Professor in the Department of ECE (courtesy CS and Radiology) at Northwestern University. He is co-Director of the Center for Scientific Studies in the Arts and Deputy Director of the NSF-Simons AI Institute in Astronomy. 

He was EIC of the IEEE SPM and a member of the BOG and the Award Board of the IEEE SPS. He is a Life Fellow of the IEEE and Fellow of SPIE, EURASIP, and OSA. He is the recipient of the IEEE Third Millennium Medal and the IEEE SPS Meritorious Service Award and Technical Achievement Award.

Anna Scaglione is the Stephen M. Ross/Related Companies Professor in the School of Electrical and Computer Engineering at Cornell University. Her research focuses on statistical signal processing, network systems, smart grids, and cyber-physical system security. 

She is a Fellow of the IEEE and has served on the IEEE Signal Processing Society Board of Governors. She was Editor-in-Chief of the IEEE Signal Processing Letters and Associate Editor for several IEEE journals. She has received multiple IEEE awards, including the 2019 IEEE Donald G. Fink Prize Paper Award, the IEEE Signal Processing Society Best Paper Award in 2000 and was one of its Distinguished Lecturers in 2019-2020.

Andreas Spanias is a Professor in the School of ECEE and Director of the SenSIP Center at ASU. His research includes DSP, machine learning, quantum AI, and engineering education. 

He co-authored over 300 papers, two textbooks, and 28 U.S. patents. He served as Associate Editor of the IEEE Transactions on Signal Processing and General Co-chair of ICASSP-99. He was also IEEE SPS VP Conferences and SPS Distinguished Lecturer and received the IEEE Region 6 Award, the Donald G. Fink Paper Prize, and the SPS Service Award. He is an IEEE Fellow and a Fulbright U.S. Scholar.