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Invited Speakers

 

Prof. Xiang Xu
University of Electronic Science and Technology of China, Zhongshan Institute, China

 

 

 

Biography: XIANG XU (S’14–M’18) received the B.S. and M.S. degrees in Theoretical and Applied Mechanics from Sun Yat-sen University, Guangzhou, China, in 1999, 2002, respectively, and the Ph.D. degree in Cartography and Geographical Information Systems from Sun Yat-sen University, Guangzhou, China, in 2018.
From 2002 to 2004, he was a Software Engineer in the SUNTEK Technology Co., LTD. In 2004, he joined the University of Electronic Science and Technology of China, Zhongshan Institute. He is currently a full Professor with the school of computer science, University of Electronic Science and Technology of China, Zhongshan Institute. He has authored and coauthored a total of 42 journal citation report papers, and 3 book chapters. His current research interests include remotely sensed hyperspectral image analysis, biometric technology based on finger vein image, signal processing, pattern recognition, supervised/semi-supervised learning and active learning.
Dr. Xu is a Reviewer of more than 10 international academic journals, including IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and remote sensing Letters, ISPRS Journal of Photogrammetry and Remote Sensing, Proceedings of the IEEE, Communications in Statistics-Simulation and Computation, Infrared Physics and Technology, and so on.

 

 

 

 

Prof. Wen Xiao
China University of Geosciences, Wuhan, China

 

 

 

Biography: Wen Xiao is currently a Professor at China University of Geosciences, Wuhan, China. Prior to that, he joined Newcastle University, UK, as a Lecturer in Laser Scanning and Photogrammetric Computer Vision in the Geospatial Engineering group of School of Engineering in 2016. His research interests lie in the integration of artificial intelligence, computer vision and robotics with photogrammetry, laser scanning and remote sensing, applied to digital twins, intelligent transportation, and smart cities, focusing on building and transport systems monitoring, change detection and dynamics monitoring from various sensing platforms, e.g. in situ and mobile (incl. UAVs) laser scanning and imaging systems . He is PI of an intelligent roadside sensing project and a 3D dynamics sensing project funded by NSFC, Co-I of three projects funded by NERC UK and two key R&D projects funded by MOST China.

 

 

 

 

Prof. Chao Wang
Aerospace Information Research Institute, Chinese Academy of Sciences, China

 

 

 

Biography: Chao Wang received his Ph.D. degree in earth science from Nanjing University in 1989. He is professor of Aerospace Information Technology University, and the International Research Center of Big Data for Sustainable Development Goals (CBAS). He was the Deputy Director and professor of CAS-IRSA from 1997 to 2004, and the Deputy Director and professor of China Remote Sensing Satellite Ground Station (RSGS), CAS from 2004 to 2007. He served as the Chairman of IEEE GRSS Beijing Chapter from 2003 to 2012. He has been PIs and Co-Is of several national and international SAR projects. Currently he is in charge of the Key Science Instrument Development Project funded by National Natural Science Foundation of China (42327801). His research interests include SAR AI, Drone SAR interferometry and SAR for sustainable development.

Speech Title: SARCLIP: A Multimodal Foundation Framework for SAR Imagery via Contrastive Language-image Pre-training

 

 

 

 

Prof. Haixia Bi
Xi’an Jiaotong University, China

 

 

 

Biography: Haixia Bi, Professor, Ph.D. Supervisor with the School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China. She received the Ph.D. degree in computer science and technology from Xi’an Jiaotong University, Xi’an, China, in 2018. She was a Post-Doctoral Research Fellow with the University of Derby, Derby, U.K., from 2018 to 2019, and the University of Bristol, Bristol, U.K., from 2019 to 2021.
Her research interests include remote sensing image classification and multi-modality image fusion. She has published more than 40 papers in top journals and conferences in the field of remote sensing such as IEEE TIP, IEEE TGRS, IGARSS etc, and 2 papers have been selected as ESI highly cited papers.
She has been active reviewers for many authoritative academic journals, such as IEEE TPAMI, IEEE TIP, IEEE TGRS, information fusion etc. She was the recipient of the Best Reviewer Award of the IEEE Geoscience and Remote Sensing Letters in 2019 and 2021. She serves as a guest editor of Remote Sensing special issue. She served as session chairs in IEEE NTCI 2023 and IGARSS 2024.

 

 

 

 

Assoc. Prof. Tao Sun
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

 

 

 

Biography: 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.

 

 

 

 

Assoc. Prof. Jing Wen
Chongqing University, China

 

 

 

Biography: Dr. Jing Wen specializes in optoelectronic detection technology and instrument development. She earned her Ph.D. in Instrument Science and Technology (2007) and B.E. in Electronic Engineering (2001), both from Chongqing University. She conducted postdoctoral research in semiconductor detection (2007-2011) and has been a faculty member since 2007, including a visiting scholarship at the University of Illinois at Chicago in 2017.
As principal investigator, she has secured several competitive grants, including the National Natural Science Foundation Youth Project and the Chongqing Natural Science Foundation General Project. She has also contributed as a key member to multiple national key programs (e.g., NSFC Key Program, National 863 Program). Her achievements include the Chongqing Science and Technology Progress Award (Second Class) and over 20 first-authored publications.

 

 

 

 

Assoc. Prof. Kunqian Li
Ocean University of China, China

 

 

 

Biography: Dr. Li Kunqian is an associate professor and doctoral supervisor at the College of Engineering, Ocean University of China, and a recipient of the Distinguished Young Scholar Fund from the Natural Science Foundation of Shandong Province. He earned his Ph.D. in Control Science and Engineering from Huazhong University of Science and Technology in 2018. His current research focuses on visual perception applications in underwater environments, underwater operational robotics, and multimodal perception in maritime and port contexts. He has led three projects funded by the National Natural Science Foundation of China. Additionally, he has participated as the second-ranked contributor in a key national research and development program. Over the past five years, he has authored or co-authored more than ten SCI-indexed journal articles as first or corresponding author, published in leading journals such as IEEE TIP, TCSVT, TGRS, PR, and TIM. Since 2022, his published works have accumulated over 1,000 citations according to Google Scholar.

 

 

 

 

Assoc. Prof. Liping Yang
Chongqing University, China

 

 

 

Biography: LIPING YANG received the B.S. degree in Measurement and Control Technology and Instruments from Chongqing University, Chongqing, China, in 2003, and the Ph.D. degree in Instrument Science and Technology from Chongqing University, Chongqing, China, in 2008. In 2009, he joined the College of Optoelectronic Engineering, Chongqing University. From 2018 to 2019, he was a visiting scholar in the University of Rhode Island, Rhode Island, USA. He is currently an Associate Professor with the College of Optoelectronic Engineering, Chongqing University. He has authored and coauthored more than 50 journal papers. His current research interests include industrial defect detection, hyperspectral image analysis, audio signal processing, pattern classification and machine learning.

 

 

 

 

Prof. Zengxi Huang
Xihua University, China

 

 

 

Biography: Zengxi Huang earned his Ph.D. in Computer Science and Technology from Sichuan University, China, in 2014. He is currently a Professor at the School of Computer and Software Engineering, Xihua University, where he served as Associate Dean of the Software Engineering Department from 2018 to 2022. Since 2016, he has also been the Technical Director of the Audio-Visual Forensic Examination Group at the Sichuan Xihua Jiaotong Forensic Center.
From 2017 to 2018, he was an Academic Visitor at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, U.K., collaborating with the distinguished Professor Josef Kittler. He is working with Professor Cairong Zhao at Tongji University since 2024. His research primarily lies in the field of computer vision and image processing, with specific interests in pedestrian detection, person re-identification, human action recognition, and multimodal biometrics.
Dr. Huang has led or participated in more than 10 research projects and has published over 20 academic papers. His work has been recognized with several awards, including the Best Paper Award for Commercial Applications at the AMDO 2018 conference and the Outstanding Forensic Examination Report award at the 3rd "Song Ci Cup" competition organized by the Ministry of Justice of China.

 

 

 

 

Assoc. Prof. Zhuhong Shao
Capital Normal University, China

 

 

 

Biography: Zhuhong Shao, an associate professor and master's supervisor at the College of Information Engineering, Capital Normal University, Beijing, China. He has been selected as a "talent support program" YanJing Scholar (2024) and a "young YanJing Scholar cultivation" program (2017-2019) of Capital Normal University. He has been presided over several projects including the National Natural Science Foundation of China, the Beijing Municipal Education Commission's Research Plan, and the Beijing Municipal Organization Department's Excellent Talent Project. He received the Ph.D. in Computer Science and Technology from Southeast University in 2015, Nanjing, China. He served as a visiting scholar at the School of Artificial Intelligence of Beijing Normal University from 2023 to 2024. His research interest focuses on computer vision and intelligent speech analysis, multimodal emotion recognition, and medical artificial intelligence. He has published over 100 papers in journals and conferences such as IEEE TAFFC, IEEE JBHI, and PR, and obtained 31 national invention patents. He has received the third prize of the National Science and Technology Progress Award of the China Business Federation (2023, 4/12), the first prize of the Henan Provincial Education Department's Scientific and Technological Achievement Award (2024, 5/15), the second prize (2023, 2/15; 2022, 3/13), and the first prize of the Capital Normal University's Teaching Achievement Award (2021, 1/5) and the second prize (2024, 2/8). Currently, he is a senior member of CSIG/CCF.

 

Asst. Prof. Raheleh Kafieh
Durham University, UK

 

 

 

Biography: Raheleh Kafieh is an Assistant Professor of Bioengineering at Durham University, UK, and an EPSRC Women in Engineering Ambassador. Her research focuses on artificial intelligence–driven image and graphics processing for biomedical applications, with particular emphasis on ocular imaging, neuroimaging, and multimodal medical data analysis. She works closely with clinicians and the NHS to translate advanced image analysis methods into real-world healthcare solutions, including early disease detection, home-based imaging for ageing populations, and AI-enabled referral pathways from community settings to hospitals.
She has over 12 years of experience in medical image and signal processing using machine learning and deep learning techniques. She has authored more than 150 peer-reviewed publications, with over 4,000 citations, and her work has appeared in leading journals across medical imaging, image processing, and artificial intelligence.
Dr Kafieh has successfully secured multiple competitive grants as Principal Investigator and Co-Investigator from national and international funders, including EPSRC, UKRI–MRC, NIHR-related schemes, and charitable foundations. She has previously held research positions at Charité–Universitätsmedizin Berlin, Newcastle University, and Sabanci University, and has extensive experience supervising and examining PhD and MSc students both in the UK and internationally.
She serves as an editor and reviewer for several leading journals in image processing and medical AI. Her current research aims to advance robust, interpretable, and equitable AI methods that bridge image and graphics processing with clinically meaningful decision-support systems.