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.
Speech Title: "Movable Antenna (MA) Aided Wireless Communications: Opportunities and Challenges"
Abstract: Movable
antenna (MA) has been recently recognized as a promising
technology for enhancing wireless communication performance
by exploiting wireless channel spatial variation via antenna
movement at the transmitter and/or receiver. In this talk,
we provide a comprehensive overview of MAs, including their
historical development, practical architectures and
implementation methods, contemporary applications in
wireless communication, as well as mathematical models,
design issues (such as channel estimation,
continuous/discrete movement optimization) and promising
approaches to solve them. In particular, we present a new
field-response channel model, which greatly facilitates the
analysis, design and optimization of MA-aided communication
systems. Based on this model, various performance advantages
of MAs over conventional fixed-position antennas (FPAs) are
demonstrated, in terms of spatial diversity/multiplexing,
interference mitigation, and flexible beamforming.
Furthermore, a general six-dimensional MA (6DMA) system is
introduced, which consists of distributed antennas/antenna
surfaces that can be independently adjusted in terms of 3D
position and 3D rotation to achieve the greatest flexibility
in antenna movement. It is shown that by jointly designing
the positions and rotations of all 6DMA surfaces equipped at
the base station (BS) based on the users’ statistical
channel information, the wireless network capacity can be
significantly improved over the existing BS with FPAs (e.g.,
sector antennas). Finally, we shed light on the research
directions worthy of investigation in future work to unleash
the full potential of MAs for wireless networks.
Prof.
Xiaoqing Wen
IEEE Fellow
Kyushu Institute of Technology, Japan
Xiaoqing WEN received the
B.E. degree from Tsinghua University, China, in 1986, the
M.E. degree from Hiroshima University, Japan, in 1990, and
the Ph.D. degree from Osaka University, Japan, in 1993. He
was an Assistant Professor at Akita University, Japan,
from1993 to 1997, and a Visiting Researcher at 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 with the
Department of Computer Science and Networks. 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 serving as Associate
Editors 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 the latest VLSI test textbook in 2006 and the
first comprehansive book on power-aware VLSI testing in
2009. His research interests include design, test, and
diagnosis of LSI circuits. He has published more than 300
papers and holds 43 U.S. patents & 14 Japan patents. He
received the 2008 Society Best Paper Award from IEICE-ISS.
He is a Fellow of IEEE. (https://www.vlab.cse.kyutech.ac.jp/~wen/index.htm)
Speech Title: "Power-Aware
LSI Testing: Present and Future"
Abstract: With low power consumption becoming a key
requirement for advanced LSI designs, the gap between
functional power and test power has kept growing to such an
extent that power-aware testing has now become a must. The
foundation of power-aware testing is a complete
understanding of the global impact of switching activity on
peak and average power as well as the local impact of
switching activity on IR-drop-induced delay increase along
data and clock paths. This talk presents a holistic view on
various aspects of power-aware testing, aimed at helping
researchers and engineers to develop more sophisticated and
complete solutions for controlling LSI test power.
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.
Speech Title: "Neuromorphic Vision Chips"
Abstract: The neuromorphic vision chip integrates an imager
and brain-inspired parallel-processors. It mimics the human
visual system in a way that the image sensor and the
processors perform functions as the retina and brain visual
cortex, respectively. It can perform the high speed image
capture and real-time intelligent image processing
operations. This talk mainly focuses on the bio-inspired
spiking vision chips and our research results on the vision
chips based on SPAD imaging and spiking neural network. It
will introduce the vision chip architectures, spiking image
sensor, vision processor, neuromorphic vision chip and gives
design examples. Finally, it discusses the architecture and
the challenges of the future vision chip.