Jane Wang
Professor
Fellow: IEEE, Canadian Academy of Engineering
Electrical and Computer Engineering Dept./Biomedical Engineering School
University of British Columbia (UBC), Vancouver, Canada
Title: Signal Processing Meets Deep Learning in Healthcare- A Case Study on Parkinson’s Disease (PD)
Abstract: Recent exciting breakthroughs and revolutions of artificial intelligence (AI), especially deep learning models, in numerous fields also come with big challenges: lack of interpretability and explainability due to the “black box” nature of current deep learning models; deep learning models are vulnerable to adversarial attacks; and the scarcity of well annotated data in real-world problems. Such challenges are particularly critical for biomedical and healthcare applications. Our suggestion is to explore the intersection of traditional signal/image processing (SP/IP) and deep learning to make the decision making clinically meaningful and explainable, by leveraging domain knowledge with the learning ability of deep learning to mitigate the deficiencies of traditional SP/IP and black-box deep learning approaches. In this talk, I will first provide an overview and then focus on illustrative research on Parkinson’s Disease (PD) study (e.g., pose estimation based assessment and monitoring in Parkinson’s Disease using video data). We propose innovative strategies (e.g., self-supervision, partial annotation, data synthesis) for training deep learning models without or reducing the need for explicit annotated data. The talk will conclude by brainstorming future research directions.
Prof. Dr. ir. Emanuël Habets
International Audio Laboratories ErlangenHe received the B.Sc. degree in electrical engineering from the Hogeschool Limburg, The Netherlands, in 1999, and the M.Sc. and Ph.D. degrees in electrical engineering from the Technische Universiteit Eindhoven (TU/e), The Netherlands, in 2002 and 2007, respectively.
From March 2007 until February 2009, he was a postdoctoral fellow at the Technion – Israel Institute of Technology and at the Bar-Ilan University, Israel. In 2009, he was awarded a Marie Curie Intra-European Fellowship for Career Development. From February 2009 until November 2010, he was a Member of the Research Staff in the Communication and Signal Processing Group at Imperial College London, United Kingdom. In November 2010, he joined the International Audio Laboratories Erlangen as a Professor for Perception-based Spatial Audio Signal Processing at the University of Erlangen-Nuremberg and Chief Scientist for Spatial Audio Processing at Fraunhofer IIS. Since 2013 he is also Head of the Spatial Audio Research Group at Fraunhofer IIS.
His research activities center around audio and acoustic signal processing, and include spatial audio signal processing, spatial sound recording and reproduction, speech enhancement (dereverberation, noise reduction, echo reduction), and sound localization and tracking.
Dr. Habets was a member of the organization committee of the 2005 International Workshop on Acoustic Echo and Noise Control (IWAENC) in Eindhoven, The Netherlands, a general co-chair of the 2013 International Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) in New Paltz, New York, and general co-chair of the 2014 International Conference on Spatial Audio (ICSA) in Erlangen, Germany. He was a member of the IEEE Signal Processing Society Standing Committee on Industry Digital Signal Processing Technology (2013-2015), a member of the IEEE Signal Processing Society Technical Committee on Audio and Acoustic Signal Processing (2011-2016), Guest Editor of the IEEE Journal of Selected Topics in Signal Processing and the EURASIP Journal on Advances in Signal Processing, an Associate Editor of the IEEE Signal Processing Letters (2013-2017), and Editor in Chief of the EURASIP Journal on Audio, Speech, and Music Processing (2016-2018). He was the founding vice-chair of the EURASIP Special Area Team on Acoustic, Sound and Music Signal Processing (2015-2018). He is the recipient, with S. Gannot and I. Cohen, of the 2014 IEEE Signal Processing Letters Best Paper Award. He is a Senior Member of the IEEE, a member of the Audio Engineering Society, a member of the EAA Technical Committee on Audio Signal Processing (since 2017), and Chair of the EURASIP Special Area Team on Acoustic, Sound and Music Signal Processing (since 2019).
Dr. Xiao-Ping (Steven) Zhang
Tsinghua Shenzhen International Graduate School (SIGS)
Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University
Xiao-Ping (Steven) Zhang received B.S. and Ph.D. degrees from Tsinghua University, in 1992 and 1996, respectively, both in Electronic Engineering. He holds an MBA in Finance, Economics and Entrepreneurship with Honors from the University of Chicago Booth School of Business, Chicago, IL.
He is Chair Professor at Tsinghua Shenzhen International Graduate School (SIGS) and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University. He was the founding Dean of Institute of Data and Information (iDI) at Tsinghua SIGS. He had been with the Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University (Formerly Ryerson University), Toronto, ON, Canada, as a Professor and the Director of the Communication and Signal Processing Applications Laboratory (CASPAL), and has served as the Program Director of Graduate Studies. His research interests include image and multimedia content analysis, sensor networks and IoT, machine learning/AI/robotics, statistical signal processing, and applications in big data, finance, and marketing.
Dr. Zhang is Fellow of the Canadian Academy of Engineering, Fellow of the Engineering Institute of Canada, Fellow of the IEEE, a registered Professional Engineer in Ontario, Canada, and a member of Beta Gamma Sigma Honor Society. He is the general Co-Chair for the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021. He is the general co-chair for 2017 GlobalSIP Symposium on Signal and Information Processing for Finance and Business, and the general co-chair for 2019 GlobalSIP Symposium on Signal, Information Processing and AI for Finance and Business. He was an elected Member of the ICME steering committee. He is the general chair for ICME2024 and BioCAS2023. He is Editor-in-Chief for the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING. He is Senior Area Editor for the IEEE TRANSACTIONS ON IMAGE PROCESSING. He served as Senior Area Editor the IEEE TRANSACTIONS ON SIGNAL PROCESSING and Associate Editor for the IEEE TRANSACTIONS ON IMAGE PROCESSING, the IEEE TRANSACTIONS ON MULTIMEDIA, the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, the IEEE TRANSACTIONS ON SIGNAL PROCESSING, and the IEEE SIGNAL PROCESSING LETTERS. He was selected as IEEE Distinguished Lecturer by the IEEE Signal Processing Society and by the IEEE Circuits and Systems Society.