Heidelberg, Germany
October 24-26, 2025
Xiaodong Liu
Professor, Edinburgh Napier University, UK.
Research field: Pervasive systems (Internet of Things), service-oriented architecture, evolution of cloud services, and intelligence-driven smart systems.
Prof. Xiaodong Liu has been very active in the research in AI-driven software engineering, focusing on pervasive systems (Internet of Things), service-oriented architecture, evolution of cloud services, and intelligence-driven smart systems. He has won 12 external grants and successfully led or leading these externally funded projects with the role of principal investigator. Currently Prof. Liu leads the Intelligence-Driven Software Engineering Research Group. He is the founder a spin out company, FlexiCAGE Ltd. He has published 170 papers in refereed international journals and conferences and 5 book chapters. He is the inventor of 1 patent in Generative Component Adaptation registered in UK, USA and at International Level (PCT). He has been the chair, co-chair or PC member of a number of IEEE and IASTED International Conferences. He is the associate editor of 2 international journals and the editorial board member of 3 international journals. He is the chief editor of 3 IGI Global Research Handbooks. He is the regular reviewer of other 6 international journals. He is a senior member of IEEE Computer Society, and a member of British Computer Society.
Huiyu Zhou
Professor, University of Leicester, UK.
Research field: Machine learning, computer vision, intelligent systems and signal processing.
Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 450 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.
Simon X. Yang
Professor, University of Guelph, Canada; Fellow of Canada Academy of Engineering.
Research field: Robotics, intelligent systems, control systems, sensors and multi-sensor fusion, wireless sensor networks, bio-inspired intelligence, neural networks, machine learning, fuzzy systems, evolutionary computation, intelligent communications, intelligent transportation, and computational neuroscience.
Simon X. Yang (Senior Member, IEEE) received the B.Sc. degree in engineering physics from Beijing University, Beijing, China, in 1987, the M.Sc. degree in biophysics from the Chinese Academy of Sciences, Beijing, in 1990, the M.Sc. degree in electrical engineering from the University of Houston, Houston, TX, USA, in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 1999.,He is currently a Professor and the Head of the Advanced Robotics and Intelligent Systems Laboratory, University of Guelph, Guelph, ON, Canada. He has been very active in professional activities. His research interests include robotics, intelligent systems, sensors and multisensor fusion, wireless sensor networks, control systems, machine learning, fuzzy systems, and computational neuroscience.
Dimitrios A. Karras
Professor, National and Kapodistrian University of Athens, Greece.
Research field: Intelligent and distributed systems, decision making systems, multiagent systems, pattern recognition and computational intelligence, image and signal processing and systems, biomedical systems, communications and networking, security.
Dr. Dimitrios A. Karras received the Diploma and M.Sc. degrees in electrical and electronic engineering and the Ph.D. degree (with honors) in electrical engineering from the National Technical University of Athens, Athens, Greece, in 1985 and 1995, respectively. Currently, Dr. Dimitrios A. Karras is a professor in Data and AI Science, Digital and autonomous Intelligent Systems with the National & Kapodistrian University of Athens, Greece, as well as adjunct Prof. Dr. with the GLA University, Mathura, India and EPOKA & CIT universities, Computer Engineering, Tirana. He has served in universities and research institutes for more than 25 years and published more than 75 refereed journal papers and more than 185 research papers in International refereed Conferences in the fields of intelligent and distributed/multi-agent systems, pattern recognition, image/signal processing and neural networks. He has served as program/general chair at several international conferences and, moreover as editor at several international journals in the fields of signal, image, communication and automation systems. He has been cited in more than 2500 research papers, being in the highest 10% of worldwide researchers.
Jun Liu
Professor, Ulster University, UK.
Research field: Trust and explainable data-knowledge integrated AI decision model/system with applications in management, engineering, and industry field etc., Logic and automated reasoning methods for intelligent systems including software verification and automated theorem proving.
Dr Jun Liu (Senior Member, IEEE) received BSc. and MSc. degrees in Applied Mathematics, and PhD. degree in Information Engineering from Southwest Jiaotong University, China, in 1993, 1996, and 1999, respectively. He is currently a Reader in Computer Science, Director of Artificial Intelligence Research Center (AIRC) at School of Computing, Ulster University, Northern Ireland, UK. He worked in the field of AI for many years. He has authored or co-authored over 270 peer-reviewed publications in the field. He is the current Chair of IEEE CIS Emergent Technologies Technical Committee (ETTC), also the past Chair of IEEE System, Man and Cybernetics (SMC) Ireland Chapter (SMC28). He serves as an Associated Editor of IEEE Transaction on Fuzzy Systems, Knowledge-Based Systems, Human-Centric Computing and Information Sciences, and International Journal of Computational Intelligence Systems; also an Editor of Information Fusion, Journal of Universal Computer Science, and International Journal of Knowledge and Systems Science. He serves as chairs or co-chairs and program committees of a number of international conferences and workshops.
Istvan Szabo
Professor, Vice-Rector of Hungarian University of Agriculture and Life Sciences (MATE) / Dean of the Faculty of Engineering, Hungary.
Research field: Environmental microbiology, connections between microbial communities and environmental contaminants: biodegradation, biodetoxification, microbiomes of contaminated matrices, plastispheric communities.
Istvan Szabo is the head of Department of Ecotoxicology of the Institute of Aquaculture and Environmental Safety. His expertise lies in isolation and identification of microbial strains, determination of microbial communities, monitoring of the changes of microbiomes. Dr. Istvan Szabo work contributes to questions of how the bacterial community changes of the gut microbiome of insect feeding fish. His theoretical work examines how bacterial community differ in gut microbiome in the case of normal and insect feeded fishes. His empirical work is assessed these theories in farmed fishes feeded naturaly and with insects.Across his research, he uses state-of-the-art techniques such as new generation sequencing and their statistical analyses. He is able to produce the necessary amount of insect feed for laboratory tests. He has authored and co-authored more than 40 research articles in high-impact scientific journals. Dr. Szabo has collaborated with 4 research groups across Europe, and he has successfully applied for a Horizon Europe research grant, and several national projects.
Nuria lloret
Professor, Vice-Dean of the Innovation Academy, Universitat Politècnica de València, Spain.
Research field: Artificial intelligence, data analytics, virtual and augmented reality, metaverse and digital collaborative systems.
Nuria Lloret is a professor at the Universitat Politècnica de València (UPV). PhD by the UPV and degree in Geography and History. She has been the Director of the DCADHA department from 2004 to 2012, she is currently Coordinator of the Doctorate in Music of the UPV, and Director of the Master CALSI Master of contents and legal aspects in the information society and PhD coordinator in the Master of Music of the (UPV). As a researcher, she belongns to the design and manufacturing institute (IDF) of the (UPV), and she is member of the governing council of the Institute. He also belongs to the interdisciplinary research group of the University of Granada, PAI-TIC group. In 2010 she obtained a research grant from the Ministry to make a stay at the New York University at the King Juan Carlos I Center. For 10 years she has been the Director of the international congress CALSI.
Sajjad Hussain Chauhdary
Professor, Huzhou University, China.
Research field: Industrial internet of things, smart cities, smart grids, cyber security, power line communications, and industrial wired/wireless communication networks.
Dr. Sajjad Hussain Chauhdary is a professor at the School of Information Engineering, Huzhou University, China. His appointment to this role followed his tenure as an associate professor at the College of Computer Science and Engineering (CCSE), University of Jeddah, from 2016 to 2024. Prior to his academic career, Dr. Chauhdary spent five years as a senior research engineer at LG/LSIS Co., Ltd., Advanced Technology R&D Center. During this period, his innovative work was recognized with the "Best Research Award" (2012) and the "Best Project Award" (2014), and he led numerous impactful industrial and academic research projects funded by various governmental and cooperative organizations. Dr. Chauhdary has also been actively engaged in standardization efforts, contributing his expertise to major organizations such as SAE International (standard J2831/1-5), ZigBee Alliance (SEP 2.0), and ISO/IEC (15118).
Siddhartha Bhattacharyya
Professor, VSB Technical University of Ostrava, Czech Republic.
Research field: Hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.
Dr. Siddhartha Bhattacharyya (Senior Member, IEEE) completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He has been appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He is a co-author of 5 books and the co-editor of 54 books and has more than 280 research publications in international journals and conference proceedings to his credit. He is the Associate Editor of several reputed journals including Applied Soft Computing, IEEE Access, Evolutionary Intelligence and IET Quantum Communications. He is the editor of International Journal of Pattern Recognition Research and the founding Editor in Chief of International Journal of Hybrid Intelligence, Inderscience. Dr. Bhattacharyya is a life fellow of Optical Society of India (OSI), India, life fellow of International Society of Research and Development (ISRD), UK, a fellow of Institute of Electronics and Telecommunication Engineers (IETE), India and a fellow of Institution of Engineers (IEI), India. He is also a senior member of International Institute of Engineering and Technology (IETI), Hong Kong and Association for Computing Machinery (ACM), USA. He is a life member of Cryptology Research Society of India (CRSI), Computer Society of India (CSI), Indian Society for Technical Education (ISTE), Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI). He is a member of Institution of Engineering and Technology (IET), UK, International Rough Set Society, International Association for Engineers (IAENG), Hong Kong, Computer Science Teachers Association (CSTA), USA, International Association of Academicians, Scholars, Scientists and Engineers (IAASSE), USA, The International Society of Service Innovation Professionals (ISSIP) and The Society of Digital Information and Wireless Communications (SDIWC). He is also a certified Chartered Engineer of Institution of Engineers (IEI), India.
Attila Vidacs
Associate Professor, Budapest University of Technology and Economics, Hungary.
Research field: Green networking technologies (cellular systems, LTE), ad-hoc and wireless sensor networking, dynamic spectrum allocation, game Theory in telecommunications.
Attila Vidacs is an Associate Professor at the Department of Telecommunications and Media Informatics (TMIT), Faculty of Electrical Engineering and Informatics at Budapest University of Technology and Economics (BME), Hungary. He received his MSc Degree in Electrical Engineering and a PhD Degree at BME in 1996 and 2002, respectively. At present, he is the Executive Manager and Board Member of the High Speed Networks Laboratory (HSN Lab) at BME-TMIT. He was involved as a researcher in many national and international research project. Recently he is taking the project management tasks of BME contribution to FP7-ICT-EARTH (Energy Aware Radio and neTwork tecHnologies) project on “green” cellular mobile radio networks. He is the Management Committee Member from Hungary in COST Action IC0806 IntelliCIS (Intelligent Monitoring, Control and Security of Critical Infrastructure Systems). He acted as the BME team leader in EU funded project: FP5-IST-INTERMON (2002-2004), FP6-IST-MOME (2004-2006).
Md Abdus Samad Kamal
Associate Professor, Gunma University, Japan.
Research field: Model predictive control, reinforcement learning, machine learning, artificial intelligence, cyber-physical systems, IoT, multi-agent systems, swarm robotics.
Md Abdus Samad Kamal received the B.Sc. Engineering degree from Khulna University of Engineering and Technology (KUET), Bangladesh, in 1997 and the Master and Ph.D. degrees from Kyushu University, Japan, in 2003 and 2006, respectively. He was a Lecturer with KUET from 1997 to 2000, a Researcher with Kyushu University in 2006, and 2008 to 2011, an Assistant Professor with International Islamic University Malaysia, Malaysia from 2006 to 2008, a Researcher with The University of Tokyo, Japan from 2011 to 2014. He worked as a Visiting Researcher with Toyota Central R \& D Labs., Inc., Japan, from 2014 to 2016. He was a Senior Lecturer in the School of Engineering, Monash University Malaysia from 2016 to 2019. Currently, he is an Associate Professor in the Graduate School of Science and Technology, Gunma University, Japan. His research interests include intelligent transportation systems, connected and automated vehicles, and the applications of machine learning and model predictive control. Dr. Kamal is a member of the Society of Instrument and Control Engineers (SICE), a Senior Member of Institute of Electrical and Electronics Engineers (IEEE), and a Chartered Engineer of Institution of Engineering and Technology (IET).
Important Dates
Last date for full paper submission:
July 31, 2025
Last date for paper acceptance:
August 31, 2025
Last date for registration:
September 30, 2025
Conference date:
October 24-26, 2025
Contact Us
Conference Secretary