Keynote Speakers of ICOIP 2025

Jungong Han, Tsinghua University 韩军功，清华大学

Professor Jungong Han is Chair Professor in Computer Vision at the Department of Computer Science, the University of Sheffield, UK. He also holds an Honorary Professorship at the University of Warwick, UK. Previously, he was Chair Professor and Director of Research of the Computer Science department with Aberystwyth University, UK; Data Science Associate Professor with the University of Warwick; and Senior Lecturer in Computer Science with Lancaster University, UK. Prof. Han has authored 2 edited volumes, and over 200 papers, including 90 in prestigious IEEE/ACM Transactions, and 60+ in CORE A* conferences. He has been an Associate Editor-in-Chief of Elsevier Neurocomputing, an Associate Editor of the IEEE Trans. on Image Processing, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Circuits and Systems for Video Technology, Elsevier Pattern Recognition, and several others. He is a Fellow of IAPR and a Fellow of AAIA.

Professor Xiangjian (Sean) He received his PhD in Computer Science from the University of Technology Sydney in 1999. He is currently the Deputy Head of Computer Science School and the Director of Computer Vision and Intelligent Perception Laboratory at the University of Nottingham Ningbo China (UNNC). He is a National Talent, and in list of the 'World Top 2% Scientists' reported by Stanford University in 2022, 2023, etc.  He was the Professor of Computer Science and the Leader of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS) from 2011-2022.  He was an IEEE Signal Processing Society Student Committee member. He was involved in a team receiving a UTS Chancellor's Award for Research Excellence through Collaboration in 2018. He has been awarded 'Internationally Registered Technology Specialist' by International Technology Institute (ITI). He led the UTS and Hong Kong Polytechnic University (PolyU) joint research project teams winning the 1st Runner-Up prize for the 2017 VIP Cup, and the champion for the 2019 VIP Cup, awarded by IEEE Signal Processing Society. In 2021, the team, PolyUTS, led by Prof Lam of PolyU and co-led by Prof He of UTS again won the 1st Runner-Up award for the 2021 VIP Cup.

Hongying Meng, Brunel University London  IEEE Senior Member，H-index：39 孟鸿鹰，伦敦布鲁内尔大学

Professor Hongying Meng is with Department of Electronic and Electrical Engineering, Brunel University London. Before joining Brunel, he held research positions in several UK universities including University College London (UCL), University of York, University of Southampton, University of Lincoln, and University of Dundee. He received his Ph.D. degree in Communication and Electronic Systems from Xi’an Jiaotong University and was a lecturer in Electronic Engineering Department of Tsinghua University, Beijing in China.  His research area includes biomedical engineering, computer vision, affective computing, artificial intelligence, neuromorphic computing and Internet of Things. His research is funded by EPSRC, EU Horizon 2020, Royal Academy of Engineering, Royal Society, etc. He has published more than 200 academic papers with more than 6800 citations (Google Scholar h-index 39). He has developed 2 different emotion recognition systems that won AVEC2011 and AVEC2013 international challenge competitions respectively. He is a Senior Member of IEEE and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Cognitive and Developmental Systems (TCDS). and the associate Editors-in-Chief for Digital Twins and Applications by IET. In 2022, He was recognized as one of the AI 2000 Most Influential Scholars by Aminer.

Zengmao Wang, Wuhan University 王增茂，武汉大学

Zengmao Wang is an associate professor at the School of Computer Science, Wuhan University, and a doctoral and master's supervisor. He is also a visiting scholar at the Department of Computer Science, Carleton University, Canada. He has been awarded the National Postdoctoral Innovative Talent Support Program and the Hubei Provincial Youth Talent Program. His research mainly focuses on machine learning and image processing under resource constraints (including computing power, data, and storage), covering areas such as large models, image generation, domain generalization, and knowledge distillation. He has made significant application advances in fields like medical image analysis and geoscience perception. In recent years, he has published over 30 papers in prominent journals and conferences, including TNNLS, TKDE, TIP, TCYB, TGRS, TCSVT, CVPR, ECCV, and IJCAI. He has led one general program and one youth program of the National Natural Science Foundation of China, one key research and development program in Hubei Province, and one general program of the Hubei Provincial Natural Science Foundation. He has also participated in five provincial and above-level projects. He received the Second Prize of Hubei Provincial Natural Science Award (ranking third). He serves as a reviewer for multiple international journals and a program committee member for conferences, including TPAMI, TKDE, TMM, TNNLS, IJCAI, AAAI, ICLR, CVPR, and ICML.

Keynote Speakers of ICOIP 2023

Professor, PhD advisor, winner of the National Youth Talent Project, winner of the Ministry of Human Resources and Social Security's high-level talent project, "Huali Leading Talent" and "Leader of the Soft Matter Interdisciplinary Research Team" in Nanjing University of Posts and Telecommunications. He graduated from the Liquid Crystal Research Institute of Kent State University in the United States, and has been engaged in the basic research and application development of the structure, physical properties, effects and manipulation of liquid crystal soft materials for a long time; So far, he has published more than 30 papers in Nature Communications and other journals. He is also an active reviewer of well-known journals such as Physical Review Letters, Light: Science & Applications, a young editorial board member of journals such as Liquid Crystal and Display, a lifelong member of the Chinese Physical Society, a senior member of the Chinese Optical Society, a member of the American/British Physical Society, and a member of the American Optical Society.

Speech Title: Orientation and order of liquid crystals for soft matter photonics

Abstract: Orientationally ordered liquid crystals have fascinated scientists for centuries owing to their unique physical anisotropies and revolutionary photonic applications. If one could know how to create and manipulate the optical microstructures in liquid crystals at high dimensionality and with more degrees of freedom, that would bring new fundamental science and practical techniques. Here we show (1) fast electro-optic switching enabled by the nanosecond electrical modification of order parameters effect; (2) pattern formation in liquid crystals produced by the external stimuli; (3) stable and tunable three-dimensional solitons as director bullets driven by AC electric fields.

Chuan Qin received his Ph.D. degree in signal and information processing from Shanghai University, Shanghai, China, in 2008. Since Dec. 2008, he has been with the faculty of University of Shanghai for Science and Technology, where he is currently a Professor. He was with Feng Chia University at Taiwan as a Postdoctoral Researcher and Adjunct Assistant Professor from July 2010 to July 2012. His research interests include image processing, multimedia security and AI security. He has published over 150 peer-reviewed papers in journals and conferences including IEEE TIP, IEEE TIFS, IEEE TMM, IEEE TCSVT and ACM Multimedia. He is selected as the Highly Cited Chinese Researcher by Elsevier in 2020. He won the Best Paper Award of CIHW 2016 and the Candidate of Excellent Paper Award of IEEE IIHMSP 2014. He has served as the Associate Editor for Signal Processing (Elsevier) and Journal of Visual Communication and Image Representation (Elsevier). He is the Senior Member of CCF and CSIG.

Speech Title: Recent Advances on Perceptual Image Hashing

Abstract: In this talk, the concept of perceptual image hashing and its differences with cryptographic hash function and retrieval hashing are first given. Then, we illustrate some typical application scenarios of perceptual image hashing in the field of image intelligence security, and representative methods for perceptual image hashing and some of our related works are introduced. Finally, the summary and further development are discussed.

Dr. Sailesh Iyer has a Ph.D. (Computer Science), pusruing Post Doc from University of Louisiana, Lafayette, USA (Public University ranked among the top 100 Public Universities) and currently serving as a Professor with Rai University, Ahmedabad. He has more than 23 years of experience in Academics, Industry and Corporate Training out of which 18 years are in core Academics. He has been awarded  Research Excellence Award for year 2021 by Rai University and an Honorary Adjunct Research Scientist at Neurolabs International under Dana Brain Health Institute, Iran from August 2022 to August 2025.  He has 2 Patents granted and one patent published to his credit and is involved as an Editor for various book projects with IGI Global (USA), CRC PressTaylor and Francis (UK) and Bentham Science (UAE). He has been invited as Keynote Speaker in various International Conferences held in China, Indonesia, Philippines, Saudi Arabia, Haiti, Ukraine, Italy and India. A hardcore Academician and Administrator, he has excelled in Corporate Training, Delivered 95+ Expert Talks in various AICTE sponsored STTP’s, ATAL FDP’s, Reputed Universities, Government organized Workshops, Orientation and Refresher Courses organized by HRDC, Gujarat University. Research Contribution include reputed Publications, Track Chair at ICDLAIR 2020 (Springer Italy), icSoftComp 2020, IEMIS 2020 (Springer), ICRITO 2020 (IEEE), ARISE-2021, FTSE-2021 and TPC Member of various reputed International and National Conferences, Reviewer of International Journals like Multimedia Tools and Applications (Springer), Journal of Computer Science (Scopus Indexed), International Journal of Big Data Analytics in Healthcare (IGI Global), Journal of Renewable Energy and Environment and Editor in various Journals. Expert Talk on Research based topics in various Universities and Conferences in addition to guiding Research Scholars as Supervisor. He has also been invited as a Judge for various events, Examiner for Reputed Universities, is a Computer Society of India Lifetime Member and also serving as Managing Committee (MC) Member, CSI Ahmedabad Chapter from 2018-2020.

Research interest areas: Computer Vision and Image Processing, Cyber Security, Data Mining and Analytics, Artificial Intelligence, Machine Learning, Blockchain.