2025 6th Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC2025)

Shunli Wang：Professor, IET Fellow, IEEE Member, Inner Mongolia University of Technology, China.

Research field：Modeling and State Estimation for Energy Storage Systems; New Energy Measurement and Control; Optimization Strategy; Energy Management; Battery System Modelling.

Wang Shunli, professor, doctoral supervisor, vice president of the Smart Energy Storage Research Institute, academic dean of the School of Electric Power of Inner Mongolia University of Technology, academician of the Russian Academy of Natural Sciences, IET Fellow, IEEE Member, academic leader of the China Electrical Safety and Quality Testing Center, one of the first academic and technical leaders of China Science and Technology City, and one of the top 2% scientists in the world. He mainly focuses on the major strategic needs of the new energy and energy storage system industry, relying on the Academician Expert Workstation of Large-Scale Energy Storage Technology, the Engineering Research Center of the Ministry of Education for Large-Scale Energy Storage Technology, and the Smart Energy Storage Research Institute to focus on the research of green and low-carbon energy storage for smart grids. Professor Wang has published 258 SCI core library retrieval articles, 173 articles in JCR Q1 and TOP journals, 34 highly cited/hot articles, 52 authorized invention patents/standards/software copyrights, 7 books published in internationally renowned publishers such as Elsevier and IET, and won 7 awards at the provincial and ministerial levels, including 2 international gold awards. He has served as the chairman of international conferences 27 times, 4 editors of international journals, and won 13 scientific and technological awards such as the Gold Award at the 48th Geneva Invention Exhibition. He is also a member of the New Energy and Energy Storage System Control Committee of the Chinese Automation Society, a member of the System Simulation Professional Committee of the Chinese Automation Society, a member of the System Simulation Professional Committee of the Chinese Automation Society, a senior member of the Chinese Automation Society, and a member of the China Power Supply Society.

Yu-Dong Zhang：Professor, IEEE/ACM/IES Senior Member, University of Leicester, UK.

Research field：Deep Learning, Convolutional Neural Networks, Graph Convolutional Networks, Attention Networks,Explainable AI, Biomedical Image Analysis, Bio-inspired Computing, Pattern Recognition, Transfer Learning, Medical Sensor.

Prof. Yudong Zhang serves as a professor at the School of Computing and Mathematical Sciences,University of Leicester,UK.His research interests include deep learning and medical image analysis.He is the Fellow of IET,Fellow of EAI,and Fellow of BCS.He is the Senior Member of IEEE,IES,and ACM.He is the Distinguished Speaker of ACM.He was the 2019&2021 recipient of Highly Cited Researcher by Clarivate.He has(co)authored over 400 peer-reviewed articles in the journals JAMA Psychiatry,Inf Fus,IEEE TFS,IEEE TII,IEEE TIP,IEEE TMI,IEEE IoTJ,Neural Networks,IEEE TITS,Pattern Recognition,IEEE TGRS,IEEE JBHI,IEEE TCSVT,IEEE TETCI,IEEE TCSS,IEEE JSTARS,IEEE TNSRE,IEEE SJ,ACM TKDD,ACM TOMM,IEEE/ACM TCBB,IEEE TCAS-II,IEEE JTEHM,ACM TMIS,etc.There are more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers in his(co)authored publications.His citation reached 21670 in Google Scholar(h-index 82).He has conducted many successful industrial projects and academic grants from NIH,Royal Society,GCRF,EPSRC,MRC,Hope,British Council,and NSFC.He has given over 120 invited talks at international conferences,universities,and companies.He has served as(Co-)Chair for more than 60 international conferences and workshops.His research outputs have been reported by more than 50 news press,such as Reuters,BBC,Telegraph,Physics World,UK Today News,etc.

Anand Nayyar：Professor, IEEE/ACM Senior Member, Duy Tan University, Vietnam.

Research field：Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.

Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 125+ Professional certifications from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 200+ Research Papers in various High-Quality ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 Journals cum Scopus/ESCI indexed Journals, 80+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 60+ Book Chapters in various SCOPUS/WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: (Google Scholar): 15300+, H-Index: 66 and I-Index: 246; (Scopus): 8000+; H-index: 47. Member of more than 60+ Associations as Senior and Life Member like: IEEE (Senior Member) and ACM (Senior Member). He has authored/co-authored cum Edited 60+ Books of Computer Science. Associated with more than 600+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 14 German Patents, 4 Japanese Patents, 40 Indian Design cum Utility Patents, 13 UK Patents, 1 USA Patent, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT, Healthcare, Drones, Robotics and Image Processing. Awarded 48 Awards for Teaching and Research—Young Scientist, Best Scientist, Best Senior Scientist, Asia Top 50 Academicians and Researchers, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching, Best Senior Scientist Award, DTU Best Professor and Researcher Award- 2019, 2020-2021, 2022, 2022-2023 Distinguished Scientist Award by National University of Singapore, Obada Prize 2023, Lifetime Achievement Award 2023; Asian Admirable Achievers 2024; Distinguished Academic Leader 2024 and many more.

He is listed in Top 2% Scientists as per Stanford University (2020, 2021, 2022) , Ad Index (Rank No:1 Duy Tan University, Rank No:1 Computer Science in Viet Nam) and Listed on Research.com (Top Scientist of Computer Science in Viet Nam- National Ranking: 2; D-Index: 42; World Ranking: 6968).

He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Computers Materials and Continua (CMC), Tech Science Press- IASC, Cogent Engineering,  Human Centric Computing and Information Sciences (HCIS), PeerJ Computer Science, IET-Quantum Communications, IET Networks, IEEE Transactions on Artificial Intelligence (IEEE TAI), Indonesian Journal of Electrical Engineering and Computer Science, IJFC, IJISP, IJDST, IJCINI, IJGC, IJSIR, IJBDCN, IJNR, IJSI. He is acting as Managing Editor of IGI-Global Journal, USA titled “International Journal of Knowledge and Systems Science (IJKSS)” and Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”. He has reviewed more than 5100+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Healthcare Informatics, Big Data and Wireless Communications.

Danilo Avola：Associate Professor, IEEE Senior Member, Sapienza University of Rome , Italy.

Research field：Computer Vision, Image/Video Processing, Human Computer Interaction, Wi-Fi Signal Processing, EGG Signal Processing, Machine/Deep Learning, Multimodal Systems, Pattern Recognition, Event/Action/Affect Recognition, Action, Scene Understanding, Body Language.

Danilo Avola earned his Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science of Sapienza University of Rome, where he leads both the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and the Computer Vison Laboratory (VisionLab). In addition, since 2018 he is R&D Senior Engineer at the W•SENSE s.r.l., a spin-off of Sapienza University of Rome, where he leads the Computer Vision Team (CVT), and since 2010 he provides consultation and collaboration to companies engaged in computer science, computer vision, and artificial intelligence research projects. Previously, he was postdoc researcher at the Department of Mathematics, Computer Science and Physics (DMIF), University of Udine, Udine, Italy, and R&D Senior Engineer at the Artificial Vision and Real-Time Systems Laboratory (AVIRES Lab) at the same University. Even before, he was R&D Senior Engineer and Supervisor, earlier, at the Multimodal & Multimedia Laboratory (M&M Lab) of the National Research Council, Rome, Italy, and, later, both at the Pictorial Computing Laboratory (PCL Lab) and at the Artificial Vision Laboratory (AV Lab) of Sapienza University of Rome. Among other awards and prizes, Danilo Avola received, in 2020, the Outstanding Paper Award for IEEE Transactions on Industrial Informatics (TII). Currently, he is Reviewer of top International Journals in Computer Vision, including Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Human-Machine Systems, and International Journal of Computer Vision; in addition, he is Associate Editor and Guest Editor of different ranked International Journals. His research interests include Computer Vision, Image/Video Processing, Human Computer Interaction, Wi-Fi Signal Processing, EGG Signal Processing, Machine/Deep Learning, Multimodal Systems, Pattern Recognition, Event/Action/Affect Recognition, Action, Scene Understanding, Body Language and Face Expression Interpretation, Robotics (UAVs, AUVs, ROVs, Humanoids), and has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.

Jingsha He：Professor, Beijing University of Technology, China.

Research field：Computer Networks, Information Safety, 3D Printing, Big Data and Cloud Computing Security, Digital Forensics.

Graduated from University of Maryland, he has worked in IBM Corp., MCI Communications Corp., GRIC Communications, Inc., etc. in America, and got 15 American patents for invention. In 2003, he was introduced to Beijing University of Technology. At present, he has published 261 papers in international journals and conference proceedings, and got 58 Chinese patents for invention, presided over more than 30 projects as well, such as National Natural Science Foundation of China, 863 project, etc.

Lu Leng：Professor, Nanchang Hangkong University, China.

Research field：Biometric Recognition, Biometric Template Protection, Computer Vision, Medical Image Processing, Data Hiding, etc.

LU LENG received his Ph.D degree from Southwest Jiaotong University, Chengdu, P. R. China, in 2012. He performed his postdoctoral research at Yonsei University, Seoul, South Korea, and Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China. He was a visiting scholar at West Virginia University, USA, and Yonsei University, South Korea. Currently, he is a full professor, the dean of Institute of Computer Vision, the office director of Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition at Nanchang Hangkong University. Prof. Leng has published more than 100 international journal and conference papers, including more than 70 SCI papers and three highly cited papers. He has been granted several scholarships and funding projects, including six projects supported by National Natural Science Foundation of China (NSFC). He serves as a reviewer of more than 100 international journals and conferences. His research interests include computer vision, biometric template protection, biometric recognition, medical image processing, data hiding, etc. Prof. Leng was awarded Jiangxi Youth May-4th Medal, and is an outstanding representative of "Innovation Talent" of Jiangxi Enterprise in "Science and Technology China", "Jiangxi Hundred-Thousand-Ten-thousand Talent Project", "Jiangxi Voyage Project", etc.

Pooja Singh：Assistant Professor, IEEE Senior Member, SIES-Graduate School of Technology, Navi Mumbai, India.

Research field：Mathematical Modelling, Reliability, Safety and Security of Safety Critical Computer-based Systems.

Dr. Pooja Singh received her Ph.D. degree from Indian Institute of Technology (Banaras Hindu University). She has experience of 21 years in world’s leading CMMi-5 software multinational companies, research organizations and academic institutes. She is currently Assistant Professor in SIES Graduate School of Technology, Navi Mumbai, and has distinction of working in the field of Image processing, Artificial intelligence, Mathematical Modelling, reliability engineering, safety engineering and other mathematical sciences for to solve the various technical challenges in Nuclear Power Plants. She has an illustrious career and succeeded in several critical jobs assigned to him in his illustrious career, though, each of them was challenging. Her assignments over the years range from design, development, testing, IV&V, related research and site validation of the safety critical computer based systems of Indian Nuclear Power Plants. She has published several research papers in journals of high impact factor like IEEE Transactions, IEEE Computer, ACM, Elsevier, Quality & Reliability International, etc. She is recipient of many awards like prestigious IEEE K. Shankar award, publication award, etc. She has also received IEEE Woman Technologist award. She is a reviewer of several SCI indexed journals of high impact factor, including 14 different IEEE Transactions. She is a life member of Indian Nuclear Society. She is a Senior Member of IEEE. She has been invited for keynote speeches, and talks in many international IEEE and other conferences. She is a member of editorial board of many reputed journals and guest lead editor of many special issues. She is supervising many PhD students of different reputed institutes. She is actively involved in formation of interdisciplinary Centre of Dependability Engineering at IIT (BHU). She has several international research collaborations. Her research interests are in the area of mathematical modelling, image processing, artificial intelligence, reliability, system design, safety and security of safety critical computer based systems. So far she has completed many projects of Department of Atomic Energy, Government of India and Department of Science and Technology, India.