Keynote Speakers&Invited Speakers
Keynote Speakers(Alphabetize by Last Name)
Prof. Minghua Chen
IEEE Fellow
School of Data Science
City University of Hong Kong, China
Speech title: Machine Learning for Real-Time Constrained Optimization
IEEE Fellow
School of Data Science
City University of Hong Kong, China
Speech title: Machine Learning for Real-Time Constrained Optimization
Minghua received his B.Eng. and M.S. degrees from the Department of Electronic Engineering at Tsinghua University. He received his Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California Berkeley. He is a Professor of School of Data Science, City University of Hong Kong. He received the Eli Jury award from UC Berkeley in 2007 (presented to a graduate student or recent alumnus for outstanding achievement in the area of Systems, Communications, Control, or Signal Processing) and The Chinese University of Hong Kong Young Researcher Award in 2013. He also received several best paper awards, including IEEE ICME Best Paper Award in 2009, IEEE Transactions on Multimedia Prize Paper Award in 2009, ACM Multimedia Best Paper Award in 2012, IEEE INFOCOM Best Poster Award in 2021, and ACM e-Energy Best Paper Award in 2023. His recent research interests include online optimization and algorithms, machine learning in power system operation, intelligent transportation, distributed optimization, delay-critical networking, and capitalizing the benefit of data-driven prediction in algorithm/system design. He is an ACM Distinguished Scientist and an IEEE Fellow.
Prof. Trung Q. Duong
IEEE Fellow, AAIA Fellow
Queen's University Belfast, UK
Speech Title: 6G Integrated Space-Terrestrial Networks for Global Coverage of Mobile Service
IEEE Fellow, AAIA Fellow
Queen's University Belfast, UK
Speech Title: 6G Integrated Space-Terrestrial Networks for Global Coverage of Mobile Service
Dr. Trung Q. Duong (IEEE Fellow and AAIA Fellow) is a Chair Professor in Telecommunications at Queen's University Belfast, U.K. and a Research Chair of the Royal Academy of Engineering, U.K. His current research interests include optimisation, signal processing, and machine learning in wireless communications. He has published 500+ books/bookchapters/papers with 17,500+ citations and h-index 71. He has served as an Editor for many reputable IEEE journals (IEEE Trans on Wireless Communications, IEEE Trans on Communications, IEEE Trans on Vehicular Technology, EEE Communications Surveys & Tutorials, IEEE Communications Letters, and IEEE Wireless Communications Letters) and has been awarded best paper awards in many flagship conferences including IEEE ICC 2014, IEEE GLOBECOM 2016, 2019, and 2022. He is the recipient of the Research Fellowship (2015-2020) and Research Chair (2020-2025) of the Royal Academy of Engineering. In 2017, he was awarded the first Newton Prize from the UK government for the best research and innovation that promotes the economic development and social welfare. He is a Fellow of IEEE and a Fellow of Asia-Pacific Artificial Intelligence Association (AAIA).
Prof. Isao Echizen
IEICE Fellow, IEEE Senior Member
Information and Society Research Division, National Institute of
Informatics (NII)
The University of Tokyo, Japan
Speech Title: Real or Fake? From Biometric Data Protection to Fake Media
Detection
IEICE Fellow, IEEE Senior Member
Information and Society Research Division, National Institute of Informatics (NII)
The University of Tokyo, Japan
Speech Title: Real or Fake? From Biometric Data Protection to Fake Media Detection
Isao Echizen received B.S., M.S., and D.E. degrees from the Tokyo Institute of
Technology, Japan, in 1995, 1997, and 2003, respectively. He joined Hitachi, Ltd. in
1997 and until 2007 was a research engineer in the company's systems development
laboratory. He is currently engaged in research on multimedia security and
multimedia forensics. He currently serves as a research director in CREST FakeMedia
project, Japan Science and Technology Agency (JST). He received the Best Paper Award
from the IPSJ in 2005 and 2014, the Fujio Frontier Award and the Image Electronics
Technology Award in 2010, the One of the Best Papers Award from the Information
Security and Privacy Conference in 2011, the IPSJ Nagao Special Researcher Award in
2011, the DOCOMO Mobile Science Award in 2014, the Information Security Cultural
Award in 2016, and the IEEE Workshop on Information Forensics and Security Best
Paper Award in 2017. He was a member of the Information Forensics and Security
Technical Committee of the IEEE Signal Processing Society. He is the Japanese
representative on IFIP TC11 (Security and Privacy Protection in Information
Processing Systems), a member-at-large of board-of-governors of APSIPA, and an
editorial board member of the IEEE Transactions on Dependable and Secure Computing,
the EURASIP Journal on Image and Video processing, and the Journal of Information
Security and Applications, Elsevier. He is an IEICE Fellow and an IEEE Senior
Member.
Prof. Hesuan Hu
IEEE Senior Member
Xidian University, Xi'an, China
Speech Title: Robustness Analysis and Implementation in Concurrent Systems
with Unreliable Resources
IEEE Senior Member
Xidian University, Xi'an, China
Speech Title: Robustness Analysis and Implementation in Concurrent Systems with Unreliable Resources
Hesuan Hu (Senior Member, IEEE) received the BS degree in computer engineering and the MS and PhD degrees in electro-mechanical engineering from Xidian University, Xi'an, China, in 2003, 2005, and 2010, respectively. He is currently a full professor with Xidian University. He is a holder of more than 40 issued and filed patents in his fields of expertise. His current research interests include discrete event systems and their supervisory control techniques, Petri nets, automated manufacturing systems, multimedia streaming systems, autonomous vehicles, cyber security, and artificial intelligence. He has more than 170 publications in journals, book chapters, and conference proceedings in the above areas. He was a recipient of many national and international awards, including the Franklin V. Taylor Memorial Award for Outstanding Papers from the IEEE SMC Society, in 2010 and the finalists of the Best Automation Paper from the IEEE ICRA Society, in 2013, 2016, and 2017. He has been an associate editor of the IEEE Control Systems Magazine, IEEE Robotics and Automation Magazine, IEEE Transactions on Automation Science and Engineering, and Journal of Intelligent Manufacturing. He is an IEEE distinguished lecturer.
Southern University of Science and Engineering, Shenzhen, China
Speech Title: A cognitive engineering structure in implementing multiple layered digital twin systems
Dr. Yongsheng Ma has joined Southern University of Science and Technology
(SUSTech) in Shenzhen, China since July, 2021 as a full professor. Before that,
Dr. Ma had been a full professor with the University of Alberta (UA) since 2007.
He was an associate professor with Nanyang Technological University, Singapore
during 2000-2007. Dr. Ma started his career as a polytechnic lecturer in
Singapore (1993-1996); and then a research fellow, senior research fellow and
group manager (1996-2000) at Singapore Institute of Manufacturing Technology.
Dr. Ma received his B.Eng. from Tsinghua University, Beijing (1986), both M.Sc.
(1990) and Ph.D. (1994) from UMIST, UK. Dr. Ma has had an established research
profile with many research projects from different sources, and published more
than 200 papers internationally in recognized top journals, conferences, and
book chapters. Dr. Ma had served as an Editorial Board Member of Advanced
Engineering Informatics (ADVEI, Elsevier) since 2012, and became an associate
editor since 2020. Concurrently, he also serves as an associate editor for ASME
Journal of Computer Information Science and Engineering (JCISE), and an
Editorial Member of Scientific Reports (Springer Nature). Dr. Ma had also been
an associate editor of IEEE Transaction of Automation Science and Engineering
(2009-2013). Dr. Ma is a member of ASEE, SME, SPE, ASME, CSME and a Canada
(Alberta) registered Professional Engineer (P.Eng.) since 2009. In 2012, he won
the prestigious ASTech award sponsored by The Alberta Science and Technology
Leadership Foundation together with Drader Manufacturing Ltd. Dr. Ma had also
served as a senator of UA during 2014-2016.
Prof. Mohamad Sawan
IEEE Fellow, CAE Fellow, RSC Fellow, EIC Fellow
Westlake University, China
IEEE Fellow, CAE Fellow, RSC Fellow, EIC Fellow
Westlake University, China
Mohamad Sawan, Fellow of the Canadian Academy of Engineering, Fellow of the
Engineering Institute of Canada, Fellow of the Royal Society of Sciences of
Canada, Fellow of the IEEE, is an internationally renowned scientist in the
field of smart medical devices. He has made significant contributions in
implantable and wearable medical devices based on smart microsystems.
Professor Sawan got a Ph.D. in Electrical Engineering from University of
Sherbrooke in 1990, was a postdoc fellow in Biomedical Engineering in McGill
University in 1991, and was assistant professor, associate professor and
full professor from 1991 to 2018 in Polytechnique, the Engineering School of
University of Montreal. He joined the School of Engineering of Westlake
University as a Chair Professor in 2018, he is the Founder and Principle
Investigator the Center of Excellence in Biomedical Research on
Advances-in-Chips Neurotechnologies (CenBRAIN Neurotech) in Westlake
University.
Prof. Kaoru Sumi
IEEESenior Member, ACM Senior Member
Future University Hakodate, Japan
Speech Title: Intelligent Interaction using Avatars and Robots
IEEESenior Member, ACM Senior Member
Future University Hakodate, Japan
Speech Title: Intelligent Interaction using Avatars and Robots
Kaoru Sumi is a professor in Future University Hakodate, Japan. Prof. Sumi received her Ph.D. in engineering from the University of Tokyo. Prior to joining academia, he had eight years of industry experience at KDDI and Mitsubishi Corporation. She is currently working on the research including Human Agent Interaction, Persuasive technology, Artificial Intelligence in Education, Affective Computing and Digital storytelling She previously worked at ATR MI&C Research Laboratories, Communications Research Laboratory, and Osaka University, where she researched human-computer interaction, knowledge engineering, and the application of artificial intelligence. After Prof. Sumi worked on media informatics and human-agent interaction at the National Institute of Information and Communications Technology (NICT), and Hitotsubashi University. She was a visiting professor in British Columbia, Canada.
Prof. Ying Tan
Computational Intelligence Laboratory
Peking University, China
Speech Title: Advance in Swarm Intelligence, Fireworks Algorithm and
Applications
Computational Intelligence Laboratory
Peking University, China
Speech Title: Advance in Swarm Intelligence, Fireworks Algorithm and Applications
Ying Tan is a full professor of Peking University, director of
Computational Intelligence Laboratory at Peking University, and the
inventor of Fireworks Algorithm (FWA). He worked as a professor of
Faculty of Design, Kyushu University, Japan, in 2018, at Columbia
University as senior research fellow in 2017, and at Chinese University
of Hong Kong as research fellow, and at University of Science and
Technology of China in 2005-2006 as a professor under the 100-talent
program of CAS. He serves as the Editor-in-Chief of IASEI Transactions
on Swarm Intelligence, and International Journal of Computational
Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of
IEEE Transactions on Cybernetics (CYB), etc. He also served as an Editor
of Springer's Lecture Notes on Computer Science (LNCS) for 50+ volumes,
and Guest Editors of several referred Journals. He won the 2nd-Class
Natural Science Award of China in 2009 and 2nd-Class Natural Science
Award of Ministry of Education of China in 2019 and many best paper
awards. His research interests include computational intelligence, swarm
intelligence, deep neural networks, machine learning, data mining,
intelligent information processing for information security and
financial prediction, etc. He has published 350+ papers in refereed
journals and conferences in these areas, and authored/co-authored 12
books, including" Fireworks Algorithm" by Springer in 2015, and
"GPU-based Parallel Implementation of Swarm Intelligence Algorithms" by
Morgan Kaufmann (Elsevier) in 2016, and received 8 invention patents.
Assoc. Prof. Yiwen Wang
Department of Electronic and Computer
Engineering
Department of Chemical and Biological Engineering
Hong Kong University of Science and Technology, China
Speech Title: Autonomous Task Learning for Motor Brain Machine
Interfaces
Department of Electronic and Computer Engineering
Department of Chemical and Biological Engineering
Hong Kong University of Science and Technology, China
Speech Title: Autonomous Task Learning for Motor Brain Machine Interfaces
Yiwen Wang received B.S. and M.S. degrees from University of Science
and Technology of China (USTC), Hefei, Anhui, China in 2001 and 2004
respectively. She received a Ph.D. degree from University of
Florida, Gainesville, FL, USA in 2008. She then joined the
Department of Electronics and Computer Engineering as a Research
Associate at the Hong Kong University of Science and Technology,
Kowloon, Hong Kong. In 2010, she joined as an associate professor at
Zhejiang University, Hangzhou, China. In 2017, she joined the
faculty at the Department of Electronic and Computer Engineering,
Department of Chemical and Biological Engineering, the Hong Kong
University of Science and Technology. She is now an associate
professor with substantiation. Her research interests are in neural
decoding of brain-machine interfaces, adaptive signal processing,
computational neuroscience, and neuromorphic engineering. She serves
as the Chair of the IEEE EMBS Neural Engineering Tech Committee, the
chair of the IEEE BRAIN publication subcommittee, and the board
member of Brain Computer Interfaces Society. She is the
Editor-in-Chief of the IEEE Brain Newsletter. She also serves on the
editorial board of the Journal of Neural Engineering, and is the
associate editor of Frontiers in Human Neuroscience (Brain-Computer
Interfaces), an associate editor of the IEEE Transactions on Neural
Systems and Rehabilitation Engineering g, and an associate editor of
the IEEE Transactions on Cognitive and Developmental Engineering.
She was recognized as IEEE EMBS distinguished lecturer in 2022. She
holds two US patents and has authored more than 100 peer-reviewed
publications.
Prof. Dong Xu
Department of Electrical Engineering and Computer Science
Christopher S. Bond Life Sciences Center
University of Missouri, USA
Speech Title: Mining Gene Relationships from Biomedical
Literature
through Image Understanding and ChatGPT
Department of Electrical Engineering and Computer Science Christopher S. Bond Life Sciences Center
University of Missouri, USA
Speech Title: Mining Gene Relationships from Biomedical Literature through Image Understanding and ChatGPT
Dong Xu is Curators' Distinguished Professor in the Department of Electrical Engineering and Computer Science, with appointments in the Christopher S. Bond Life Sciences Center and the Informatics Institute at the University of Missouri-Columbia. He obtained his Ph.D. from the University of Illinois, Urbana-Champaign in 1995 and did two years of postdoctoral work at the US National Cancer Institute. He was a Staff Scientist at Oak Ridge National Laboratory until 2003 before joining the University of Missouri, where he served as Department Chair of Computer Science during 2007-2016 and Director of Information Technology Program during 2017-2020. Over the past 30+ years, he has conducted research in many areas of computational biology and bioinformatics, including single-cell data analysis, protein structure prediction and modeling, protein post-translational modifications, protein localization prediction, computational systems biology, biological information systems, and bioinformatics applications in human, microbes, and plant. His research since 2012 has focused on the interface between bioinformatics and deep learning. He has published more than 400 papers with more than 23,000 citations and an H-index of 78 according to Google Scholar. He was elected to the rank of American Association for the Advancement of Science (AAAS) Fellow in 2015 and American Institute for Medical and Biological Engineering (AIMBE) Fellow in 2020.
Prof. Kun Yang
IEEE Fellow, IET Fellow, BCS Fellow
School of Computer Science & Electronic
Engineering
University of Essex, UK
Speech Title: Interplay of Computational Intelligence
and Mobile Communication Networks
IEEE Fellow, IET Fellow, BCS Fellow
School of Computer Science & Electronic Engineering
University of Essex, UK
Speech Title: Interplay of Computational Intelligence and Mobile Communication Networks
Kun Yang received his PhD from the Department of Electronic &
Electrical Engineering of University College London (UCL),
UK. He is currently a Chair Professor in the School of
Computer Science & Electronic Engineering, University of
Essex, UK, leading the Network Convergence Laboratory (NCL).
He is also an affiliated professor of UESTC. His main
research interests include wireless networks and
communications, future Internet and edge computing. In
particular he is interested in utilizing computation and
edge intelligence to address challenges faced by modern
communication networks. He has managed research projects
funded by UK EPSRC, EU FP7/H2020, and industries. He has
published 400+ papers and filed 20 patents. He serves on the
editorial boards of a number of IEEE journals (e.g., IEEE
ComMag, TNSE, WCL). He is a Deputy Editor-in-Chief of IET
Smart Cities Journal. He has been a Judge of GSMA GLOMO
Award at World Mobile Congress-Barcelona since 2019. He was
a Distinguished Lecturer of IEEE ComSoc (2020-2021). He is a
Member of Academia Europaea (MAE), a Fellow of IEEE, a
Fellow of IET and a Distinguished Member of ACM.
Assoc. Prof. Man-Ching Yuen
IEEE Senior Member, ACM Senior Member
Head of Department of Applied Data Science
Hong Kong Shue Yan University, China
Speech Title: Use cloud platform to develop an AI assessment system on developmental dyslexia of Traditional Chinese language
IEEE Senior Member, ACM Senior Member
Head of Department of Applied Data Science
Hong Kong Shue Yan University, China
Speech Title: Use cloud platform to develop an AI assessment system on developmental dyslexia of Traditional Chinese language
Dr. Connie Yuen is Head of Department of Applied Data Science and Associate Professor at Hong Kong Shue Yan University (HKSYU). Before joining HKSYU as an Assistant Professor in 2019, Dr. Yuen has over 10 years' experiences on teaching at tertiary education and working on various research projects at different universities. She is the Founding Director of the Big Data Laboratory, the Virtual Reality Laboratory and the Social Robotics & Digital Living Laboratory. Dr. Yuen's research interests include crowdsourcing, human computation, big data application, data mining, machine learning and computer network. She received her B.Sc. degree in Computer Studies and her M.Phil. degree in Information Technology at City University of Hong Kong and her Ph.D. degree in Computer Science and Engineering at The Chinese University of Hong Kong. She is a senior member of IEEE (SMIEEE), a senior member of ACM (SMACM) and a Cisco Certified Academy Instructor (CCAI).
Prof. Huiyu Zhou
School of Computing and Mathematical
Sciences
University of Leicester, UK
Speech Title: Towards uncertainty in learning and modelling
School of Computing and Mathematical Sciences
University of Leicester, UK
Speech Title: Towards uncertainty in learning and modelling
Dr. Huiyu Zhou received a Bachelor of Engineering degree
in Radio Technology from Huazhong University of Science
and Technology of China, and a Master of Science degree
in Biomedical Engineering from University of Dundee of
United Kingdom, respectively. He was awarded a Doctor of
Philosophy degree in Computer Vision from Heriot-Watt
University, Edinburgh, United Kingdom. Dr. Zhou
currently is a full Professor at School of Computing and
Mathematical Sciences, University of Leicester, United
Kingdom. He has published over 450 peer-reviewed papers
in the field. He was the recipient of "CVIU 2012 Most
Cited Paper Award", "MIUA 2020 Best Paper Award",
"ICPRAM 2016 Best Paper Award" and was nominated for
"ICPRAM 2017 Best Student Paper Award" and "MBEC 2006
Nightingale Prize". His research work has been or is
being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal
Society, Leverhulme Trust, Invest NI, Puffin Trust,
Alzheimer's Research UK, Invest NI and industry.
Homepage: https://le.ac.uk/people/huiyu-zhou
Invited Speakers(Alphabetize by Last Name)
Dr. Hyeseung Maria Chang
Korean Educational Research Institute (KEDI), Korea
Speech Title: Analysis of Learning Patterns in AI Algorithm-Based Question Recommender
System
Dr. Hyeseung Maria Chang is an alumna of The University of Texas at Austin, USA, where she earned her Ph.D. in Learning Technology. Since 2013, she has been a vital part of the Korean Educational Development Institute (KEDI) in Korea, where she currently holds the position of Senior Research Fellow. Dr. Chang's professional interests primarily lie in the integration of technology within educational frameworks and fostering international educational development cooperation. Her expertise has been recognized on various global platforms, as she has contributed significantly as an international expert in projects spearheaded by notable organizations such as the OECD, UNESCO, ASEAN+3, and the Asian Development Bank (ADB). In her recent research endeavors, Dr. Chang has focused on pioneering studies like 'Smart Data and AI Uses in Education' and 'Educational Reform use with AI,' which reflect her commitment to integrating cutting-edge technology into educational reform.
Asst. Prof. Hamza Djigal
Wenzhou Kean University, China
Speech Title: Artificial Intelligent for Resource Allocation in Multi-Access Edge Computing
Dr. Hamza Djigal is an Assistant Professor in the Department of Computer Science at Wenzhou Kean University, China. Previously, he was a postdoctoral researcher in Computer Science and Technology at Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing University of Posts and Telecommunications. He received his Ph.D. degree in Computer Science and Technology from Hohai University, Nanjing, China, in 2020; the M.Sc. degree in Software Engineering from Central China Normal University, Wuhan, China, in 2014, and the B.Sc. degree in Mathematics from Cheikh Anta Diop University, Dakar, Senegal, in 2009. His main research interests include Parallel and Distributed Computing, MEC, Machine Learning, and Resource Allocation in Heterogeneous MEC Networks.
Asst. Prof. Kelum Gajamannage
Department of Mathematics &
Statistics
Texas A&M University, USA
Speech Title: Low-rank data imputation using
Hadamard deep autoencoders with applications
to fragmented trajectory reconstruction of
collective motion
Kelum Gajamannage is an Assistant Professor of Mathematics in the Department of Mathematics & Statistics at Texas A&M University-Corpus Christi, USA. His research interests encompass Machine learning, Computer Vision, and Network Science. He focuses on the development of novel machine learning frameworks to assure the geometry and the smoothness of the underlying manifolds of high-dimensional and/or big data. He enjoys recovering partially observed or corrupted social, sensor, and biological networks and analyzing their characteristics. He characterizes patterns in collective motion with the aid of machine learning and computer vision. He is an enthusiastic educator of data science, mathematics, and statistics for undergraduates and graduates. He is excited to get involved as a mentor for students by directing undergraduate and graduate research projects.
Prof. Xiangjie Kong
IEEE&CCF Senior Member, ACM Member
Zhejiang University of Technology, China
Speech Title: Spatio-Temporal Graph Learning Empowered Travel Behavior Profiling
Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab). He is/was on the Editorial Boards of 6 International journals. Dr. Kong has authored/co-authored over 200 scientific papers in international journals and conferences including IEEE TKDE, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, etc.. His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He has an h-index of 49 and i10-index of 117, and a total of more than 7600 citations to his work according to Google Scholar. He is named in the 2019 to 2023 world's top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at more than 10 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. .
Prof. Hai-Ning
LiangHead of the Department of Computing
Xi' an Jiaotong-Liverpool University, China
Speech Title: Developing Intelligent User-Optimized Interactions for Virtual and Augmented Reality Systems
Hai-Ning Liang is Professor of Computing and inaugural Head of the Department of Computing at Xi'an Jiaotong-Liverpool University (XJTLU), Suzhou, China. He is also Deputy Director of the Suzhou Key Laboratory of Intelligent Virtual Engineering and the XJTLU Virtual Engineering Center. He completed his PhD in Computer Science from the University of Western Ontario, Canada. Prior to joining XJTLU, he worked at the University of Queensland in Australia and the University of Manitoba in Canada. He does research in Human-Computer Interaction, focusing on virtual/augmented reality, visualization, and gaming technologies. He has published widely in top-rated journals and conferences. He is actively involved in editing special issues and in the organization of conferences.
Assoc. Prof. Pengcheng Liu
IEEE Member
University of York, UK
Speech Title: Cognitive motion learning in
cluttered and uncertain
environments
Pengcheng Liu is an Associate Professor at the Department of Computer Science, University of York, UK. He received his BEng and MSc degrees from Zhongyuan University of Technology, China in 2007 and 2012 respectively, and received a PhD degree from Bournemouth University, UK in 2017. Before joining York, he held several academic roles as an Associate Professor at Cardiff Metropolitan University, a Research Fellow at University of Lincoln and a Lecturer at Zhongyuan University of Technology. He is a key member of YorRobots (as part of the UK-RAS Network), Institute for Safe Autonomy (ISA) and Assuring Autonomy International Programme (AAIP), where research facility has been established to address global challenges in assuring the safety and autonomy of robotics and other systems that use artificial intelligence. His research interests include bio-inspired robotics, robot learning, applied control and intelligent systems. He has published over 80 referred journal and conference papers in the field of robotics, applied control and AI. He has managed and involved in research projects worth about 2.6 millions pounds funded by UK EPSRC, Innovate UK, EU H2020, and industries. Dr Liu has strong research collaboration with partners from over 10 countries, such as China, Sweden, Netherland, Germany, Malaysia, Brunei, Australia, Indonesia and UK. He is an IEEE Member and Member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. He is serving on several editorial boards (ICRA, Frontiers in Robotics and AI, PeerJ Computer Science etc.) and has served on numerous international conference organization committees.
Dr. Kai Wang
AI Director
China Unicom Digital Technology,
Beijing, China
Speech Title: Vision-Based Defect
Classification and Weight Estimation of
Rice Kernels
Kai Wang received his Ph.D. degree
from Nanyang Technological University, Singapore
in 2013. He has been the AI director in AI
Innovation and Application Center of China
Unicom, since 2019. Before that, he worked at
CloudMinds Technologies Inc. and the Central
Research Institute of Huawei Technologies
respectively. He is also the adjunct supervisor
of Beijing Institute of Technology. His research
interests include computer vision, computer
graphics, and human-computer interaction, and
the use of them in various applications, such as
intelligent manufacturing, robotics, AR/VR/MR
and so on. He has strong publications on various
international journals and conferences, and
granted more than 40 patents. He led the
research and development of various industrial
and consuming products. He has received multiple
awards in his career, including the best paper
award of CAD Conference and Exhibition, Star of
Huawei 2012 Lab, etc.
Emory University, US
Speech Title: Graph Mining for Healthcare
Carl Yang is an Assistant
Professor in Emory University. He received
his Ph.D. in Computer Science at University
of Illinois, Urbana-Champaign under Prof.
Jiawei Han in 2020, and B.Eng. in Computer
Science and Engineering at Zhejiang
University under Prof. Xiaofei He in 2014.
His research interests span graph data
mining, applied machine learning, knowledge
graphs and federated learning, with
applications in recommender systems, social
networks, neuroscience and healthcare.
Carl's research results have been published
in 90+ peer-reviewed papers in top venues
across data mining and health informatics.
He is also a recipient of the Dissertation
Completion Fellowship of UIUC in 2020, the
Best Paper Award of ICDM in 2020, the
Dissertation Award Finalist of KDD in 2021,
the Amazon Research Award in 2022, the Best
Paper Award of KDD Health Day in 2022, the
Best Paper Award of ML4H in 2022, the NIH
K25 Award in 2023, and multiple Emory
internal research awards.
Assoc. Prof. Yinqiang Zheng
The University of Tokyo, Japan
Speech Title: Physical Adversarial
Attacks on Visual AI beyond RGB
Domain
Dr. Yinqiang Zheng received his Doctoral degree of engineering from the Department of Mechanical and Control Engineering, Tokyo Institute of Technology, Tokyo, Japan, in 2013. He is currently an associate professor in the Next Generation Artificial Intelligence Research Center, The University of Tokyo, Japan, leading the Optical Sensing and Camera System Laboratory (OSCARS Lab.). He is concentrating on AI x Optical Imaging, with more than 100 research papers surrounding the novel paradigms of 'Optics for Better AI' and 'AI for Best Optics'. He has served as area chair for CVPR, ICCV, MM, 3DV, ACCV, ISAIR, DICTA and MVA. He is the recipient of the Konica Minolta Image Science Award and Funai Academic Award.
Assoc. Prof. Boyang Zhou
Zhejiang Lab, China
Speech Title: Optimizing Resilience: Cognitive Retransmission Orchestration for Seamless Sensor Data Flows in Long-Haul Optical IoT Networks
Domain
Boyang Zhou is currently a research expert at Intelligent Network Research Institute of Zhejiang Lab since May, 2019, and an adjunct associate professor at School of Intelligent Science and Technology, UCAS Hangzhou Institute for Advanced Study. He received his doctoral degree in Computer Science from Zhejiang University in 2014. As PI or core members, he has involved in more than 10 national or provincial projects. He has published for more than 40 papers in IEEE TII, IEEE COMMAG, IEEE TPDS, IEEE ICC, INFOCOM and USENIX ONS, applied/issued 30 PCT and national patents of China as well as published / writing multiple standards. He has received the first prize for scientific and technological progress in Zhejiang Province, the first prize for technological progress from the China Automation Society, the third prize for technological progress in the China Electric Power Technology Progress Awards, as well as 3 best paper awards. His research interests include Industrial Internet Security, Smart Grid Communications, Active Network Security and Future Internet.