Prof. Hiroyuki Kudo
University of Tsukuba, Japan
Prof. Hiroyuki Kudo received the B.Sc.
degree from the Department of Electrical
Communications, Tohoku University,
Japan, in1985, and the Ph.D. degree from
the Graduate School of Engineering,
Tohoku University, in 1990. In 1992, he
joined the University of Tsukuba, Japan.
He is currently a Professor with the
Institute of Systems and Information
Engineering, University of Tsukuba,
Japan. His research areas include
medical imaging, image processing, and
inverse problems. In particular, he is
actively working on tomographic image
reconstruction for X-ray CT, PET, SPECT,
and electron tomography. He received
best paper awards more than 10 times
from various international and Japanese
societies. He received the IEICE (The
Institute of Electronics, Information,
and Communication Engineers, Japan)
Fellow award for his contributions on
“cross-sectional image reconstruction
methods in medical computed tomography”.
In 2018, he obtained Commendation for
Science and Technology by the Minister
of Education, Culture, Sports, Science
and Technology for his contributions on
“research on design method and image
reconstruction method for new CT”. For
2011-2016, he was an Editor-in-Chief of
the Journal of Medical Imaging
Technology (MIT). From 2020, he is a
president of Japanese Society of Medical
Imaging Technology (JAMIT).
Prof. Ce Zhu
IEEE Fellow
University of Electronic Science and
Technology of China, China
Ce Zhu has been with University of
Electronic Science and Technology of
China (UESTC), Chengdu, China, as a
Professor since 2012, and serves as the
Dean of Glasgow College, a joint school
between the University of Glasgow, UK
and UESTC, China. His research interests
include video coding and communications,
video analysis and processing, 3D video,
visual perception and applications. He
has served on the editorial boards of a
dozen journals, including as an
Associate Editor of IEEE TRANSACTIONS ON
IMAGE PROCESSING, IEEE TRANSACTIONS ON
CIRCUITS AND SYSTEMS FOR VIDEO
TECHNOLOGY, IEEE TRANSACTIONS ON
BROADCASTING, IEEE SIGNAL PROCESSING
LETTERS, an Editor of IEEE
COMMUNICATIONS SURVEYS AND TUTORIALS,
and an Area Editor of SIGNAL PROCESSING:
IMAGE COMMUNICATION. He has also served
as a Guest Editor of multiple special
issues in international journals,
including as a Guest Editor in the IEEE
JOURNAL OF SELECTED TOPICS IN SIGNAL
PROCESSING.
Prof. Zhu is an IEEE/Optica/IET/AAIA
Fellow. He serves as the Chair of IEEE
ICME Steering Committee (2024-2025). He
was an IEEE Distinguished Lecturer of
Circuits and Systems Society
(2019-2020), and also an APSIPA
Distinguished Lecturer (2021-2022). He
is a co-recipient of multiple paper
awards at international conferences,
including the most recent Best Demo
Award in IEEE MMSP 2022, and the Best
Paper Runner Up Award in IEEE ICME 2020.
Prof. Amir Hussain
Edinburgh Napier University, UK
Amir Hussain obtained his B.Eng (1st Class Honours with distinction) and Ph.D from the University of Strathclyde in Glasgow, UK, in 1992
and 1997 respectively. Following an UK EPSRC funded Postdoctoral
Fellowship (1996-98) and Research Lectureship at the University of
Dundee, UK (2018-20), he joined the University of Stirling, UK, in
2000 where he was appointed to a Personal Chair in Cognitive Computing
in 2012. Since 2018, he has been Director of the Centre of AI and
Robotics at Edinburgh Napier University, UK. His research and
innovation interests are cross-disciplinary and industry-led, aimed at
developing trustworthy AI and cognitive data science technologies to
engineer the smart healthcare and industrial systems of tomorrow. He
has co-authored over 600 papers including around 300 journal papers
(h-index: 73, 22,000+ citations) and 20 Books, and supervised over 40
PhD students. He has led major national and international projects,
including as Principal Investigator of the current multi-million pound
COG-MHEAR programme (funded under the UK EPSRC Transformative
Healthcare Technologies for 2050 Call) that aims to develop truly
personalised assistive hearing and communication technologies. He is
the founding Chief Editor of (Springer's) Cognitive Computation
journal and Editorial Board member for (Elsevier’s) Information Fusion
and various IEEE Transactions. Amongst other distinguished roles, he
is Executive Committee member of the UK Computing Research Committee
(the national expert panel of the IET and BCS for UK computing
research). He served as General Chair of the 2020 IEEE WCCI (the
world’s largest IEEE technical event on computational intelligence,
comprising the flagship IJCNN, IEEE CEC and FUZZ-IEEE) and the 2023
IEEE Smart World Congress (featuring six co-located IEEE Conferences).
Speech Title: Trustworthy
Artificial Intelligence: Real-world Use
Cases, Challenges and Opportunities
Abstract: TBA
Prof. Yen-Wei Chen
Ritsumeikan University, Japan
Yen-Wei Chen received the B.E. degree in
1985 from Kobe Univ., Kobe, Japan, the
M.E. degree in 1987, and the D.E. degree
in 1990, both from Osaka Univ., Osaka,
Japan. He was a research fellow with the
Institute for Laser Technology, Osaka,
from 1991 to 1994. From Oct. 1994 to
Mar. 2004, he was an associate Professor
and a professor with the Department of
Electrical and Electronic Engineering,
Univ. of the Ryukyus, Okinawa, Japan. He
is currently a professor with the
college of Information Science and
Engineering, Ritsumeikan University,
Japan. He is the founder and the first
director of Center of Advanced ICT for
Medicine and Healthcare, Ritsumeikan
University.
His research interests include medical
image analysis, computer vision and
computational intelligence. He has
published more than 300 research papers
in a number of leading journals and
leading conferences including IEEE
Trans. Image Processing, IEEE Trans.
Medical Imaging, CVPR, ICCV, MICCAI. He
has received many distinguished awards
including ICPR2012 Best Scientific Paper
Award, 2014 JAMIT Best Paper Award. He
is/was a leader of numerous national and
industrial research projects. Professor
Yen-Wei Chen is ranked in the World’s
top 2% of scientists for both the single
recent year (2023) and career-long
(updated until to end-of-2022),
according to Stanford/Elsevier's
rankings.