APSIPA U.S. Local Chapter will organize a panel discussion on “Convergence of Machine Learning and Signal Processing” at 5-6:30pm PST, Nov. 11

This panel brings together leading researchers from academia, industry, and government in the areas of machine learning and signal processing. They will discuss how machine learning has had major impacts on signal processing theory and applications (e.g. image processing and speech recognition).  Signal processing has also had a strong influence on machine learning.  The panelists will discuss the convergence of these two areas along with their perspectives on the future of these areas.

Speakers:

Yan Liu
Professor
Computer Science Department
University of Southern California
https://viterbi-web.usc.edu/~liu32/

Richard F. Lyon
Research Scientist
Google
https://research.google/people/author35932/

Jane Z. Wang
Professor
Department of Electrical and Computer Engineering
The University of British Columbia
https://ece.ubc.ca/jane-z-wang/

Shinji Watanabe
Associate Professor
Department of Electrical and Computer Engineering
Carnegie Mellon University
https://sites.google.com/view/shinjiwatanabe

Don Wunsch
Program Director and Professor
National Science Foundation
Department of Electrical and Computer Engineering
Missouri University of Science and Technology
https://www.nsf.gov/staff/staff_bio.jsp?lan=dwunsch&org=NSF&from_org=

Moderator:

Anthony Kuh
Professor
Department of Electrical and Computer Engineering
University of Hawaii

Join Zoom Meeting：

https://hawaii.zoom.us/j/93273255537
Meeting ID: 932 7325 5537
Passcode: APSIPA-US