INVITED Speakers
Prof. Yue Liu
Beijing Institute of Technology, China
Yue Liu is a Professor and
Ph.D. supervisor at the School of Optics and Photonics,
Beijing Institute of Technology. He serves as Director of
the Institute of Optoelectronic Information Technology and
Color Engineering and Deputy Director of the Beijing
Engineering Research Center of Mixed Reality and Novel
Display. He is also a member of the expert panel for the
National Key R&D Program on “Culture, Science & Technology
and Modern Service Industries.” In 2024, he was selected for
a national-level innovation talent support program.
His main research areas include virtual reality and
augmented reality, natural human–computer interaction, and
computer vision. He currently serves as Vice Chair of the
Technical Committee on Intelligent Interaction of the
Chinese Association for Artificial Intelligence; Vice Chair
of the Technical Committee on Human–Computer Interaction of
the China Computer Federation; Vice Chair of the Virtual
Reality Industry Branch of the Chinese Institute of
Electronics; and Standing Board Member, Deputy
Secretary-General, and Chair of the Virtual Reality
Technical Committee of the China Society of Image and
Graphics. He has previously served as Vice Chair of the
Virtual Technology and Applications Technical Committee and
Vice Chair of the Virtual Simulation Education and Teaching
Technical Committee of the Chinese Association for
Simulation, as well as Vice Chair of the Virtual Reality
Technical Committee of the China Computer Federation.
He is currently the Chief Scientist of a National Key R&D
Program project under the 14th Five-Year Plan. He has
published more than 100 papers and filed over 50 patents.
His research has been recognized with a Second Prize of the
National Award for Technological Invention.
Assoc. Prof. Boxin Shi
Peking University, China
Boxin Shi is currently a Boya Young Fellow Associate Professor (with tenure) and Research Professor at Peking University, where he leads the Camera Intelligence Lab. He received the PhD degree from the University of Tokyo and did postdoc research at MIT Media Lab. His research interests are computational photography and computer vision. He has published more than 200 papers, including 36 papers in TPAMI and 100+ papers in CVPR/ICCV/ECCV. His papers were awarded as Best Paper, Runners-Up at CVPR 2024/ICCP 2015, and selected as candidate for Best Paper at ICCV 2015. He received the Okawa Foundation Research Grant in 2021. He has served as associate editors of TAPMI/IJCV and (lead) area chairs of CVPR/ICCV/ECCV. He is a Distinguished Lecturer of APSIPA, a Distinguished Member of CCF, and a Senior Member of the IEEE/CSIG. Please access his lab website for more information: http://camera.pku.edu.cn.
Prof. Wei Fang
Nanjing University of Information Science & Technology, China
He is currently a Professor and Doctoral Supervisor of Computer Science at the Nanjing University of Information Science &Technology in China. He was a Senior Research Fellow of Kings of London in UK, and Visiting scholar of University of Florida in USA. Dr. Fang is a Senior Member of China Computer Society, a member of IEEE，a member of Jiangsu Artificial Intelligence Society, and is also a Science and Technology Consulting Expert of Jiangsu Province, a member of Artificial Intelligence Professional Committee of Shanghai Meteorological Society. He is the founding Director of Institute of Artificial Intelligence and Meteorological Big Data. He has organized several conferences. He is a guest editor and editorial board member for several SCI journals.
Assoc. Prof. Tao Sun
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Tao SUN is currently an
Associate Professor at the Paul C. Lauterbur Research Center
for Biomedical Imaging, Shenzhen Institutes of Advanced
Technology, Chinese Academy of Sciences. He is a Category B
awardee of the Chinese Academy of Sciences Talent Program
and a Category C Overseas High-Level Talent of Shenzhen. His
honors include the SNMMI “Ones to Watch” Young Investigator
Award, nomination for the EANM Sanjiv Sam Gambhir Young
Investigator Award, the First Prize of Henan Provincial
Science and Technology Progress Award, and the Best
Presentation Award at the National PET/MR Conference.
His research focuses on PET/CT and PET/MR imaging
methodologies, with particular emphasis on quantitative
optimization of total-body PET and multi-organ functional
modeling. He has served as principal investigator or key
contributor on six competitive research projects funded by
national, provincial, and municipal agencies, including the
National Key R&D Program of China and the Guangdong Regional
Joint Fund. In quantitative PET analysis and computer-aided
diagnosis, he has published 30 SCI-indexed papers as first
or corresponding author in leading journals such as IEEE
Transactions on Medical Imaging, European Journal of Nuclear
Medicine and Molecular Imaging, and NeuroImage. He currently
serves as Associate Editor of Physical and Engineering
Sciences in Medicine.
Prof. M. Hassaballah
University Hassan 2 of Casablanca, Morocco
Mostafa Hanoune is a Moroccan
teacher-researcher, specialist in computer science and
applied mathematics, currently working at the Ben M'Sik
Faculty of Sciences of the Hassan II University of
Casablanca. With more than 30 years of experience in higher
education and research, he has distinguished himself by his
commitment to training, academic supervision and scientific
production.
He holds Ph.D. in Computer Science (Mathematics and Computer
Science) from Hassan II Mohammedia University (2015),
University Habilitation in Mathematics and Computer Science
from the Hassan 1st University of Settat (2008); MBA in
Management from the University of Sherbrooke in Canada
(2000); Diploma of State Engineer in Computer Science from
the Mohammadia School of Engineering in Rabat (1989).
His research focuses mainly on algorithmics, information
systems, artificial intelligence and programming education.
He has published in several international scientific
journals and participated in renowned academic conferences.
Prof. Chijian Zhang
Anhui Normal University, China & Anhui Institute of
Information Technology, China
Prof. Zhang Chijian graduated with a Ph.D. in Computer Science and Technology from Anhui University & was awarded the title of professor in July 2005. The main research areas include fundamental theoretical research on intelligent computing(constructive FP neural networks, fuzzy logic), and the application technology of building new pattern recognition and intelligent control systems. He has led and completed multiple scientific research projects, including key research and development plans of Anhui Province, and has published over 30 papers in EI and core national journals. He has also applied for more than ten paten.
Assoc. Prof. Ruirui Li
Beijing University of Chemical Technology, China
Ruirui Li is an Associate
Professor at Beijing University of Chemical Technology, an
Adjunct Professor at the National Institute of Health and
Medical Big Data, a Young Leading Talent, and a Beijing
Outstanding Supervisor. She received her Ph.D. in Computer
Science from Tsinghua University in 2014.
Her main research interests include medical multimodal data
analysis, robust learning, and knowledge graphs. She has
published more than 20 papers in top-tier CCF-recommended
conferences and IEEE Transactions, including IEEE TMI, IEEE
TGRS, ISPRS, CVPR, ICPR, and ICME, with her work cited
thousands of times by peers.
She has led or served as a key contributor to more than 10
national research projects, including those funded by the
National Natural Science Foundation of China and the
Ministry of Science and Technology’s Key R&D Programs, and
holds over 20 authorized invention patents. Her research
achievements have received several prestigious awards,
including the Second Prize of the Wu Wenjun Artificial
Intelligence Science and Technology Invention Award and the
First Prize of the Natural Science Award of the Chinese
Association of Automation.
She serves as an Editorial Board Member of the International
Journal of Intelligent Transportation Systems (IJITS) and as
a reviewer for journals such as Nature Scientific Reports,
IEEE TMI, IEEE TNNLS, Knowledge-Based Systems, and Pattern
Recognition. She has also served as a Session Chair or
Program Committee Member for major international
conferences, including PRICAI, ICPR, AAAI, IJCAI, and ECCV.