Fernando Moreira is a Full Professor at Portucalense University, where he has been a faculty member since 1992. He founded and led the Department of Science and Technology (2018–2022) and created the university’s first engineering degrees. He holds a Ph.D. in Electronic Engineering from the University of Porto, where he also completed his Habilitation in 2018. His research focuses on Mobile Computing, Generative AI in Higher Education, Machine Learning, and Digital Transformation. With over 275 peer-reviewed publications indexed in Scopus, he is a regular contributor to top journals and conferences. He has organized special issues for JCR journals such as Telematics and Informatics, Future Generation Computer Systems, and Expert Systems. He serves on multiple editorial boards and is active as a keynote speaker, conference chair, and scientific committee member. He also supervises doctoral and master’s students and is affiliated with ACM, IEEE, and NSTICC. He received the Atlas Elsevier Award in 2019.
Prof. Wang received his BSc and MSc degrees from Tongji University, China and his PhD degree from Virginia Tech, USA. Prof. Wang is an internationally renowned expert in the field of micro-macro mechanics of granular materials. Prof. Wang has received a number of prestigious international research awards including 2025 Follow of International Association of Advanced Materials (IAAM), Top 0.5% ScholarGPS (#99 in X-ray), 2022-2024 World's Top 2% Scientists, 2024 IAAM Scientist Award, 2023 Excellent Editorial Board Member Award from Journal of Rock Mechanics and Geotechnical Engineering, VEBLEO Fellow, 2011 Geotechnical Research Medal (UK Institution of Civil Engineers), and 2010 Higher Education Institutions Outstanding Research Award - Natural Science Award (the Ministry of Education of China). His research has attracted over 10 million HKD of external grants including the Research Grant Council (RGC) of Hong Kong SAR and National Science Foundation of China (NSFC). Prof. Wang currently serves as an Associate Editor of Géotechnique, and Editorial Board Member of Computers and Geotechnics, Journal of Rock Mechanics and Geotechnical Engineering, and Soils and Foundations. So far Prof. Wang has published over 120 SCI journal papers and has a Google Scholar H-index of 40. Prof. Wang's work is reported by prestigious medias such as XINHUANET, CHINADAILY and Scientific Chinese.
Since 2023, I have served as the supervisor of the Basement Student Research Group at the Institute of Physics, Faculty of Science and Natural Sciences at Jan Kochanowski University in Kielce, supporting students of Computer Science and Data Engineering. I have mentored students participating in national and international conferences, including the XIV International Conference "Engineer of the 21st Century" (University of Bielsko-Biała, 2024) and the 34th National Conference of Student Research Groups "Human and His Environment" (UJK Kielce, 2025). I was also involved in co-organizing the Kielce IT Days (2025), providing academic guidance during the hackathon. My activities include supervising student visits to the Statistical Office in Kielce, teaching Database Systems in English, coordinating the Erasmus+ program for Computer Science and Data Engineering, and serving on the faculty’s Quality Assurance Team. I also contribute to the educational project Today a Pupil – Tomorrow a Student, co-organized with Świętokrzyska Polytechnic and funded by the European Union. Additionally, I give lectures on artificial intelligence for high school students to promote STEM education.
Arwa Amaira received the bachelor’s degree from the National School of Electronics and Telecommunications of Sfax (ENET’COM), Sfax University, Tunisia in 2009. She received the Engineering Diploma in Telecommunications and Computer Science from the Higher Institute of Computing and Communication Technologies (ISITCOM), Sousse University, Tunisia in 2012. In 2024 she obtained her doctoral degree from the same institute. Since 2016, she is a member of the Research Laboratory of New Technologies and Telecommunications Systems (NTS’COM), Sfax University. She is presently affiliated with ENETCOM as a contractual faculty member, where she continues her research in collaboration with a dynamic team at the NTES'COM laboratory. Her research interests are mainly in the areas of wireless networks, Artificial Intelligence, vehicular networks, mobility management, and broadly on all topics related to Quality of Service (QoS).
Dr. Subhranil Das is a distinguished researcher and academician recognized for his significant contributions to the field of Artificial Intelligence (AI). His work spans diverse application areas, with particular emphasis on Robotics and Medical Image Processing. Dr. Das’s research explores the integration of AI techniques across multiple domains, including optimization algorithms, deep learning for autonomous vehicles, big data analytics, predictive modelling, natural language processing, reinforcement learning, and computer vision. His interdisciplinary approach highlights the transformative potential of AI in solving real-world challenges. Prior to his current role at the University of Petroleum and Energy Studies (UPES), Dr. Das served as an Assistant Professor at MIT World Peace University, School of Business. His academic career is further complemented by two years of industrial experience at Bharat Consultants, where he worked as an Electrical System Designer. This blend of academic and industry exposure has enriched his perspective, allowing him to bridge theoretical advancements with practical implementations effectively. Dr. Das continues to contribute to the advancement of AI-driven technologies and remains actively engaged in pioneering research and teaching in the field of Artificial Intelligence..
G. P. SAJEEV (Senior Member, IEEE) received the Ph.D. degree from the National Institute of Technology Calicut, India. He is currently serving as an Associate Professor at the Department of Electronics and Communication Engineering, Rajiv Gandhi Institute of Technology Kottayam. He has published many research papers in international journals and conferences. His research interests include open systems, complex networks, web science, network graphs, and crowdsourcing. He is a reviewer of International Journal of Computers and Electrical Engineering (Elsevier) and IEEE Access, and a TPC member of IEEE organized conferences.
Dr Aviva Dan is head of Early Childhood Studies at Tel Hai Academic College University on the Rise in Israel. Her expertise is in Early Childhood education from birth to 6 years of age. Through her expertise she has contributed significantly to the training and education of Early Childhood educators in the North of Israel . Through her guidance and instruction the college where she works has initiated a unique pedagogical laboratory to investigate new and innovative ways to teach kindergarten teachers in training and to investigate how children learn and understand the world that they live in.
Her research interests span professional development of early childhood teachers, the inclusion of children with special needs into mainstream kindergartens.
Shi Peicheng is a professor at the School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu, China.With 20 years of work expertise in automotive engineering, he has contributed significantly to intelligence automotive. His research interests include new energy and intelligent connected vehicles, autonomous driving, environmental perception, and information fusion. He has presided over more than 10 government-funded research projects, including the General Program of the National Natural Science Foundation of China, the Yangtze River Delta Science and Technology Innovation Community Joint Research Project, the Anhui Provincial Development and Reform Commission's "Three Creations and One Start" Project, and the Anhui Provincial Department of Science and Technology's Key R&D Program. He has established a research framework for the research and industrialization of intelligent driving domain control systems based on scene reconstruction and cooperative control, and has overcome
Head of Food and Drink, AMRC Cymru, United Kingdom
Andrew Matin
Head of Food and Drink, AMRC Cymru, United Kingdom
Andrew is leading on Food and Drink Nationally as Chair of the Catapult Network to develop the Technology Road Map for the UK response to all the major challenges within the sector and is also leading on Agri Tech developments within the supply chain. Andrew has over 20 years in delivering business led solutions and developing strategic partnerships to drive economic growth . Leading on new technology deployment at the Advanced Manufacturing Research Center ( as part of the High Value Manufacturing Catapult )to drive forward increased productivity whilst driving forward a net zero industry. Andrew has significant experience within the whole food industry ,throughout the whole supply chain looking at delivery of real time delivery solutions based on cross sector technology development . Andrew spends a significant time within food businesses considering real time challenges , and also leads on consideration of global supply chain challenges.
