Prof. A. Amalin Prince

Instituto Politécnico Nacional, Mexico

Biography: DANIEL MOLINA-PÉREZ received the Ph.D. degree in Robotic and Mechatronic Systems from the Centro de Innovación y Desarrollo Tecnológico en Cómputo (CIDETEC), Instituto Politécnico Nacional, Mexico City, in 2024. He is currently a Professor-Researcher with the Escuela Superior de Cómputo (ESCOM), Instituto Politécnico Nacional. He is a member of the Artificial Intelligence and Data Science Network of the Instituto Politécnico Nacional. His research interests include evolutionary computation, multi-objective optimization, mixed-integer nonlinear programming, image enhancement, and hybrid optimization methods for solving complex engineering problems. Dr. Molina-Pérez has authored and co-authored multiple articles in indexed journals, including Swarm and Evolutionary Computation, PeerJ Computer Science, and Mathematical and Computational Applications, and has presented his work at leading international conferences such as the IEEE Congress on Evolutionary Computation (CEC). He received the Best Paper Award at the Mexican International Conference on Artificial Intelligence in 2022 and was recognized with the Outstanding Academic Performance Award at the doctoral level, reflecting his academic excellence and research contributions.

Institute of Mathematics of the Ministry of Science and Education, Republic of Azerbaijan

Biography: Prof. Ramin Rzayev is the Head of the Laboratory "Application of Artificial Intelligence Methods in Control Systems" at the Institute of Mathematics of the Ministry of Science and Education of the Republic of Azerbaijan. His research activities focus on the application of artificial intelligence methods to complex control and decision-making problems.
His main research interests include AI-based decision support under uncertainty, modeling and identification of complex weakly structured systems, neuro-fuzzy methods, intelligent information systems, digital ecosystems, and digital twin technologies. He also works on the development of AI-based methods for monitoring, prediction, optimization, and decision-making in complex systems, with applications in transportation, environmental monitoring, urban infrastructure, and other socio-technical systems.
He has authored and co-authored numerous scientific publications and has supervised research projects and doctoral studies in the fields of system analysis, artificial intelligence, information processing, intelligent systems, and applied mathematical modeling.

 

University of Canberra, Australia

Biography: Dr. Girija Chetty has a Bachelors and Masters degree in Electrical Engineering and Computer Science from India, and PhD in Information Sciences and Engineering from Australia. She has more than 40 years of experience in Industry, Research and Teaching from Universities and Research and Development Organisations from India and Australia, and has held several leadership positions including Head of Software Engineering and Computer Science, Program Director of ITS courses, and Course Director for Master of Computing and Information Technology Courses. Currently, she is a Full Professor in Computing and Information Technology at School of Information Technology and Systems, at University of Canberra, Australia, and leads a research group with several PhD students, Post Docs, research assistants and regular International and National visiting researchers. She is a Senior Member of IEEE, USA, and senior member of Australian Computer Society, and ACM member, and her research interests are in the area of multimodal systems, computer vision, pattern recognition, data mining, and medical image computing. She has published extensively with more than 200 fully refereed publications in several invited book chapters, edited books, high quality conference and journals, and she is in the editorial boards, technical review committees and regular reviewer for several IEEE, Elsevier and IET journals in the area related to her research interests. She is highly interested in seeking wide and interdisciplinary collaborations, research scholars and visitors in her research group.