Keynote Speakers

Prof. Robert Minasian (IEEE Fellow & OSA Fellow)

The University of Sydney, Australia

Short bio: Professor Minasian is a Chair Professor with the School of Electrical and Information Engineering at the University of Sydney, Australia. He is also the Director of the Fibre-optics and Photonics Laboratory. His research has made key contributions to microwave photonic signal processing. He is recognized as an author of one of the top 1% most highly cited papers in his field worldwide. Professor Minasian has contributed over 380 research publications, including Invited Papers in the IEEE Transactions and Journals. He has 70 Plenary, Keynote and Invited Talks at international conferences. He has served on numerous technical and steering committees of international conferences. Professor Minasian was the recipient of the ATERB Medal for Outstanding Investigator in Telecommunications, awarded by the Australian Telecommunications and Electronics Research Board. He is a Life Fellow of the IEEE, and a Fellow of the Optical Society of America.

Prof. Zhu Han (AAAS Fellow, IEEE fellow, John and Rebecca Moores Professor )

University of Houston, USA

Short bio: Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor in Boise State University, Idaho. Currently, he is a John and Rebecca Moores Professor in Electrical and Computer Engineering Department as well as Computer Science Department at University of Houston, Texas. His research interests include security, wireless resource allocation and management, wireless communication and networking, game theory, and wireless multimedia. Dr. Han is an NSF CAREER award recipient 2010. Dr. Han has several IEEE conference best paper awards, and winner of 2011 IEEE Fred W. Ellersick Prize, 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing and 2016 IEEE Leonard G. Abraham Prize in the field of Communication Systems (Best Paper Award for IEEE Journal on Selected Areas on Communications). Dr. Han has been IEEE fellow since 2014, AAAS fellow since 2020 and IEEE Distinguished Lecturer from 2015 to 2018. Dr. Han is winner of 2021 IEEE Kiyo Tomiyasu Award, and has been 1% highly cited researcher according to Web of Science since 2017.

Prof. Sri Krishnan,

Ryerson University, Toronto, Canada

Speech Title :
Signal Analysis for Connected Healthcare (Read more)

Short bio: Sri Krishnan joined Ryerson University, Toronto, Canada in 1999, and currently he is a Professor of Electrical and Computer Engineering, and a Co-director of the Institute for Biomedical Engineering, Science and Technology (iBEST). He is a Fellow of the Canadian Academy of Engineering. From 2007-2017 he was a Canada Research Chair in Biomedical Signal Analysis. Sri Krishnan has published 325 papers in refereed journals and conferences, and six of his papers have won best paper awards. Sri Krishnan is a recipient of many awards including the 2016 Outstanding Canadian Biomedical Engineer Award, 2013 Achievement in Innovation Award from Innovate Calgary, 2011 Sarwan Sahota Distinguished Scholar Award, 2007 Young Engineer Achievement Award from Engineers Canada.

Title: Audio Scene Analysis and its Various Applications

Abstract: Audio scene analysis provides contextual and content-based information of the surrounding environment, and benefits human-machine interactions for many voice-based and machine "hearing" applications.  The field is poised to benefit tremendously from the ubiquitous nature of audio data and fast growing deployment of AI models.
Specifically in this talk, the following modules will be covered:
(1) Audio scene definition, opportunities, and challenges;
(2) Audio scene models and analysis;
(3) Feature analysis and machine learning approaches;
(4) Applications in the vertical domains of healthcare, 
consumer and organizational sectors, and robotics.