Keynote Speakers
Prof. Abdelhak M. Zoubir
IEEE Life Fellow and Fellow of EURASIP (European Association for Signal
Processing)
Technische Universität Darmstadt, Germany
Abdelhak M. Zoubir
is an IEEE Life Fellow, a Fellow of EURASIP, and an IEEE
Distinguished Lecturer (Class 2010- 2011). He with
Technische Universität Darmstadt, Germany as Professor of
Signal Processing and Head of the Signal Processing Group is
since 2003. His research interest lies in statistical
methods for signal processing with emphasis on bootstrap
techniques, robust detection and estimation and array
processing applied to telecommunications, radar, sonar,
automotive monitoring and safety, and biomedicine. He
published over 500 journal and conference papers on these
areas. Professor Zoubir acted as General or Technical Chair
of numerous international conferences and workshops. Most
notably, he was the Technical Co-Chair of ICASSP-14, the
premier international conference on signal processing, held
in May 2014 in Florence, Italy. Dr Zoubir also held several
positions in editorial boards; most notably, he was the
Editor-In-Chief of the IEEE Signal Processing Magazine
(2012-2014). He was elected Chair (2010 – 2011 of the IEEE
SPS Technical Committee Signal Processing Theory and Methods
(SPTM) and served as President of the European Association
of Signal Processing (EURASIP) from 2017 until 2018. He was
a member-at-Large (2015 – 2017) to the Board of Governors of
the IEEE Signal Processing Society. He received several best
paper awards, and the 2018 IEEE Leo L. Beranek Meritorious
Service Award. He has been inducted to the German Academy of
Science & Engineering in 2024.
Speech Title: "Recent Advances on Robust Statistical Signal Processing"
Abstract: Robust statistics continue to gain importance due to an increase of impulsive measurement environments and outliers in practical
engineering systems. Classical estimation and detection theories do not apply in such situations and robust statistical methods are sought for.
The talk aims at discussing the most recent advances in robust statistics and at showing their power to solving signal processing problems. First,
we highlight the motivation for using robust statistics in real-life situations and how robust statistics can be expected to remedy problems in such
practical systems. We then introduce some definitions of robustness and discuss some robust estimators. The second part of the talk concerns robust detection,
as well as robust joint detection and estimation. The theoretical treatments are supported by applications in various areas of signal processing.
Prof.
Rui Zhang
IEEE Fellow and Fellow of the Academy of Engineering Singapore
The Chinese University of
Hong Kong (Shenzhen), China & National University of
Singapore, Singapore
Dr. Rui Zhang
received the B.Eng. (first-class Hons.) and M.Eng. degrees
from National University of Singapore and the Ph.D. degree
from Stanford University, all in electrical engineering. He
is now the Principal’s Diligence Chair Professor in School
of Science and Engineering and Shenzhen Research Institute
of Big Data, The Chinese University of Hong Kong, Shenzhen.
He is also a Professor with the Department of Electrical and
Computer Engineering, National University of Singapore. His
current research interests include wireless power transfer,
UAV/satellite communications, intelligent reflecting surface
(IRS) and reconfigurable MIMO systems. He has published over
500 papers, which have been cited more than 90,000 times
with the h-index over 135 (Google Scholar). He has been
listed as a Highly Cited Researcher by Thomson Reuters /
Clarivate Analytics since 2015. He was the recipient of the
IEEE Communications Society Asia-Pacific Region Best Young
Researcher Award in 2011, the Young Researcher Award of
National University of Singapore in 2015, the Recognition
Award of WTC, SPCC and TCCN Technical Committees of the IEEE
Communications Society in 2020, 2021 and 2023, respectively.
He received 15 IEEE Best Journal Paper Awards, including the
IEEE Marconi Prize Paper Award in Wireless Communications
(twice), the IEEE Communications Society Heinrich Hertz
Prize Paper Award (thrice), the IEEE Communications Society
Stephen O. Rice Prize, the IEEE Signal Processing Society
Best Paper Award, etc. He has served as an Editor for
several IEEE journals, including TWC, TCOM, JSAC, TSP, etc.,
and as TPC co-chair or organizing committee member for over
30 international conferences. He served as an IEEE
Distinguished Lecturer of IEEE Communications Society and
IEEE Signal Processing Society. He is a Fellow of IEEE and
the Academy of Engineering Singapore.
Prof.
Xiaoqing Wen
IEEE Fellow
Kyushu Institute of Technology, Japan
Xiaoqing Wen received a B.E. degree from Tsinghua
University, China, in 1986, a M.E. degree from Hiroshima
University, Japan, in 1990, and a Ph.D. degree from Osaka
University, Japan, in 1993. He was an Assistant Professor
with Akita University, Japan, frrom 1993 to 1997, and a
Visiting Researcher with the University of
Wisconsin–Madison, USA, from Oct. 1995 to Mar. 1996. He
joined SynTest Technologies Inc., USA, in 1998, and served
as its Vice President and Chief Technology Officer until
2003. He joined Kyushu Institute of Technology, Japan, in
2003, where he is currently a Professor of the Department of
Computer Science and Networks. He founded Dependable
Integarted Systems Research Center at Kyushu Institute of
Technology in 2013 and served as its Director until 2015. He
is a Co-Founder and Co-Chair of Technical Activity Committee
on Power-Aware Testing under Test Technology Technical
Council (TTTC) of IEEE Computer Society. He is an Associate
Editor for IEEE Transactions on Very Large Scale Integration
Systems (TVLSI) and Journal of Electronic Testing: Theory
and Applications (JETTA). He co-authored and co-edited two
popular books, VLSI Test Principles and Architectures:
Design for Testability (2006) and Power-Aware Testing and
Test Strategies for Low Power Devices (2009). His research
interests include design, test, and diagnosis of VLSI
circuits. He holds 43 U.S. Patents and 14 Japan Patents. He
received the 2008 Society Best Paper Award from the
Infromation Systmes Society (ISS) of the Institute of
Electronics, Information and Communication Engineers
(IEICE). He is a Fellow of IEEE for his pionerring work in
low capture power test generation, a Senior Member of
Information Processing Society of Japan (IPSJ), and a Senior
Member of IEICE.
Prof. Nanjian Wu
Institute of Semiconductors, Chinese Academy of Sciences, China & University of Chinese Academy of Sciences, China
Prof. Nanjian Wu is
an Honorable Guest Professor with the Research Institute of
Electronics, Shizuoka University, Japan. His research focus
on semiconductor image sensors, neural processing unit for
image processing, and neuromorphic vision chips. He is
author or co-author of over 350 technical papers in
semiconductors devices and circuits, and issued over100
patents.