Keynote
Speaker I
Prof.
CHEUNG, Yiu-ming (張曉明), IEEE Fellow, IET
Fellow,
BCS Fellow, RSA Fellow, IETI Distinguished
Fellow
Hong Kong Baptist University, Hong Kong
Yiu-ming Cheung received Ph.D. degree from Department of Computer Science and Engineering at The Chinese University of Hong Kong in 2000. He joined the Department of Computer Science in Hong Kong Baptist University (HKBU) in 2001, and became a full professor since 2012. He is an IEEE Fellow, IET/IEE Fellow, British Computer Society (BCS) Fellow, Fellow of the Royal Society of Arts (RSA), and IETI Distinguished Fellow, as well as the recipient of “Chu Tian Scholars” in China. His research interests include machine learning, pattern recognition, image and video processing, and optimization. He has published over 250 articles in the high-quality conferences and journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Image Processing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on SMC (Part B), and so on. His co-authored work on multi-modal optimization won the championship in the competition of Multi-Niche Optimization held in CEC’2015 --- a flagship international conference on Evolutionary Computation. Moreover, he has been granted one Chinese patent and two US patents. In particular, selected from 1000 new inventions and products of 700+ competition teams from 40 countries, he was awarded two most prestigious prizes: (1) the Gold Medal with Distinction (i.e. the highest grade in Gold Medals) and (2) Swiss Automobile Club Prize, in the 45th International Exhibition of Invention, Geneva, Switzerland, on March 29-April 2, 2017, in recognition of his innovative work. Also, he was the Gold Award Winner of Hong Kong Innovative Invention Award in the Seventh Hong Kong Innovative Technologies Achievement Award 2017. In addition, he won the Gold Medal with Congratulations of Jury (i.e. the highest grade in Gold Medals) and the Award of Excellence from Romania, respectively, at the 46th International Exhibition of Inventions of Geneva 2018. Prof. Cheung was the recipient of 2011 Best Research Award in Department of Computer Science, HKBU, the recipient of Best Paper Awards in SEAL’2017, ISICA’2017, ICNC-FSKD’2014, and IEEE IWDVT’2005, respectively, and the recipient of 2017 IETI Annual Scientific Award. He is the Founding and Past Chairman of IEEE (Hong Kong) Chapter of Computational Intelligence Society, and the Chair of IEEE Computer Society Technical Committee on Intelligent Informatics. Furthermore, he has taken the key positions in several top-tier international conferences, e.g. Senior Program Committee Member of IJCAI-ECAI’2018, Area Chair of ICDM’2017 and ICDM’2018, Program Committee Chair of WI’2012 and IAT’2012, Organizing Committee Chair of WI’06, IAT’06, ICDM’06, etc. He has served as the Guest Editor / Associate Editor in several prestigious international journals, including: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Pattern Recognition, Neurocomputing, and Knowledge and Information Systems: An International Journal, to name a few.
Keynote
Speaker II
Prof. Shigang Yue,
University of Leicester, UK
Shigang Yue is a Professor in
Computer Science, in the School of Computing and
Mathematical Sciences, University of Leicester,
UK since 16th Feb 2023. He was a Professor in
Computer Science (2012-2023), at the University
of Lincoln, UK. He received his PhD and MSc
degrees from Beijing University of Technology
(BJUT) in 1996 and 1993 respectively. He worked
in BJUT as a Lecturer (1996-1998) and an
Associate Professor (1998-1999), also in City
University of Hong Kong (MEEM) as a Senior
Research Assistant (1998-1999). He was an
Alexander von Humboldt Research Fellow (2000,
2001) working with Prof. Henrich in the Faculty
of Informatics, University of Kaiserslautern,
Germany. Before joining the University of
Lincoln as a Senior Lecturer (2007) and promoted
to a Reader (2010), he held research positions
in the University of Cambridge (2006-2007),
Newcastle University (2003-2006) and the
University College London (UCL) (2002-2003)
respectively.
His research interests are mainly within the
field of artificial intelligence, computer
vision, robotics, brains, and neuroscience. He
is particularly interested in biological visual
neural systems, bio-inspired systems, evolving
of neural subsystems, neuromorphic vision chip
and its applications in collision detection for
autonomous robots, autonomous vehicles,
interactive systems, UAVs and ground robots. He
has pioneered the area of using further
organisations of directional selective neural
networks for collision detection. He has also
research interest in medical image analysis,
bio-inspired machine learning and bio-inspired
robotics.
He has published more than 200 journal and
conference papers in computer vision, artificial
life, neural systems, neural evolution, swarm
intelligence, vehicle collision detection,
robotic navigation, robotic manipulation skills
and dynamic simulations, many of them are in top
tier high impact journals. He has chaired
international conferences, he is also a reviewer
for several reputable international journals and
committee member of many international
conferences. He is a member of EPSRC peer review
college. He is the coordinator for several EU
FP7 and Horizon 2020 projects. He has examined
14 PhD thesis and 2 MSc by Research as an
external or internal examiner in the past. He
has been the chair for 3 PhD viva and panel for
2 MPhil/PhD transfer so far.
Keynote
Speaker III
Prof. Sean McGrath,
University of Limerick, Ireland
Sean McGrath received his MSC in Heriot-Watt University in 1986 and his PhD in 1992 from the University of Limerick in the area of indoor wireless data communication systems. He has worked in mobile communication research for the last twelve years. He lectures in Telecommunication systems and digital communication. He is a member of the Committee of the IEEE Communications Chapter and IEEE Committee on Information Theory. He has presented and published a large number of research papers. His research interests include mobile communications, communication theory and applications, satellite systems.
Keynote
Speaker IV
Prof. Yuhong Yan,
Concordia University, Canada
My research is focused on Service Computing,
Mobile Computing and Cloud Computing. Service
computing brings flexibility, interoperability,
and composability to software systems. Service
computing combining with mobile computing and
cloud computing is going to pave the new
landscape of software engineering, pervasive
computing and high performance computing.
Keynote Speaker V
Prof. Brusakova Irina
Saint Petersburg Electrotechnical University,
Russia
Keynote Speaker VI
Assoc. Prof. William Yeoh
Deakin University, Australia
Dr. William Yeoh is an associate professor at
Department of Information Systems and Business
Analytics, Deakin University. His current
research interests include business analytics,
cybersecurity, crowdsourcing, AI, blockchain,
etc. His research is supported by various
funding bodies/organisations, and has appeared
in leading A* journals and top information
systems conferences (e.g. ICIS). He is also a
frequent speaker in industry forums. In 2020, he
was named amongst the Top 25 Analytics Leaders
in Australia by the Institute of Analytics
Professionals of Australia.
His leadership and contribution has been
recognised with several awards, including the
ICT Educator of the Year Gold Award (awarded by
the Australian Computer Society ACS -
Australia’s premier ICT professional association
and accreditation body),
internationally-competitive IBM Faculty Awards,
Deakin’s Vice-Chancellor Award for value
Innovation (in recognition of his leadership for
IBM Centre of Excellence in Business Analytics
at Deakin), and Deakin Faculty Excellence in
Research Award.
Moreover, his mentored team was crowned the
World Champion at the IBM Watson Analytics
Global Competition held in Las Vegas. Recently,
his mentored team won the 'COVID-19 Flatten the
Curve’ Hackathon (the biggest hackathon in Asia
Pacific with 2,400 competitors from around the
world). His life objective is to "Improve
Quality of Life".