2027 8th Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC 2027)

Prof. Zhang is a Changjiang Scholar and a nationally recognized high-level talent in China. He is the recipient of a major national talent program award and currently serves as Chief Professor and Doctoral Supervisor at Southeast University, China. He completed postdoctoral training at a leading university in the United States. He has held full-time and honorary academic positions—including department head, chair professor, and full professor—at numerous internationally recognized universities across the United States, United Kingdom, France, Australia, Spain, Saudi Arabia, and Japan, many of which are ranked within the top 150 globally by QS or Times Higher Education. Prof. Zhang has served as (co-)Principal Investigator for multiple national and international research projects, including those funded by the U.S. National Institutes of Health (NIH) and the U.K. Engineering and Physical Sciences Research Council (EPSRC). He is currently the Principal Investigator of a National Key Research and Development Program project entitled “Multimodal Image Regeneration Technology …”, and a core participant in another National Key R&D project on “High-Resolution Cardiovascular …”. He has co-authored more than 100 papers in top-tier and second-tier journals classified by the Chinese Academy of Sciences (CAS), including over 80 papers in the IEEE Transactions series. His publications include more than 70 ESI Highly Cited Papers and over 20 ESI Hot Papers. According to Google Scholar, his work has received over 47,000 citations with an h-index of 116. Prof. Zhang is an Honorary Fellow of the World Leadership Academy, Fellow of the Institution of Engineering and Technology (IET), Fellow of the European Alliance for Innovation (EAI), and Fellow of the Society for Computing Machinery (SCM). He is also a Senior Member of IEEE and ACM and serves as an ACM Distinguished Speaker. He was recognized as a Highly Cited Researcher in China (Computer Science) from 2014 to 2018 and has been listed as a Clarivate Analytics Highly Cited Researcher globally from 2019 to 2025. He was also ranked among Stanford University’s Top 2% Scientists Worldwide from 2020 to 2023.

Assoc. Prof. Dr. Dimitrios A. Karras received his Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens (NTUA), Greece in 1985 and the Ph.D in Electrical Engineering, NTUA, Greece in 1995, with honors. During 1990-2004 he collaborated as visiting professor and researcher with several universities and research institutes in Greece and Heidelberg, Germany (DKFZ). During 2004-2018 he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as assoc. prof. in Digital Systems and Signal Processing, as well as visiting prof. of Hellenic Open University, Dept. Informatics in Communication Systems (2002-2010). Since 1/2019 is Associate Prof. in Digital and Intelligent Systems & Signal Processing, in National & Kapodistrian University of Athens, Greece, School of Science, Dept. General as well as adjunct Assoc. Prof. Dr. with the School of Basic Sciences, BIHER University, Chennai, India, as well as with the GLA university, Mathura, India and EPOKA & CIT universities, Computer Engineering Dept., Tirana. He has published more than 80 research refereed journal papers in intelligent and distributed/multiagent systems, pattern recognition, image/signal processing and neural networks as well as in bioinformatics and more than 185 research papers in International refereed scientific Conferences. His research interests span the fields of intelligent & distributed systems, multiagent systems, pattern recognition and computational intelligence, image & signal processing/systems, biomedical systems, communications and networking as well as security and sustainability applications. He has served as program committee member as well as program/general chair at several international workshops and conferences in signal, image, communication and automation systems. He has been cited in more than 2500 research papers, and his H/G-indices are 21/51 (Google Scholar) and his Erdos number is 5. His RG score is 31.94, in the highest 10% of scientific researchers.

Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after being 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. In the past 30 years, he was involved in numerous collaborative research and development projects, and also held a number of paid consultancy contracts with industry. He is Senior Member of the IEEE, Member of the ACM and APSIPA, Fellow of the Higher Education Academy in the UK, Recognized Research Supervisor of the UK Council for Graduate Education, and the IARIA 2025 Fellow. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and machine learning for multi-sensor and longitudinal data.