Prof. Pietro S. Oliveto

Southern University of Science and Technology, China

Biography: Pietro Oliveto holds a Laurea degree in computer science from the University of Catania, Italy, awarded in 2005, and a PhD degree from the University of Birmingham, UK, conferred in 2009. His academic journey has been marked by several prestigious fellowships, including the EPSRC PhD+ Fellowship (2009-2010) and EPSRC Postdoctoral Fellowship (2010-2013) at the University of Birmingham, followed by the Vice-Chancellor's Fellowship (2013-2016) and EPSRC Early Career Fellowship (2015-2020) at the University of Sheffield. Prior to joining SUSTech, he served as the Chair in Algorithms at the Department of Computer Science, University of Sheffield.

Professor Oliveto's primary research focus is on the performance analysis, particularly the time complexity, of bio-inspired computation techniques. These techniques include evolutionary algorithms, genetic programming, artificial immune systems, hyper-heuristics, and algorithm configuration. Currently, he is spearheading the establishment of a Theory of Artificial Intelligence Lab at SUSTech.

His contributions to the academic community extend beyond research, as he has guest-edited special issues for journals such as Computer Science and Technology, Evolutionary Computation, Theoretical Computer Science, IEEE Transactions on Evolutionary Computation, and Algorithmica. He has also co-chaired the IEEE symposium on Foundations of Computational Intelligence (FOCI) from 2015 to 2021 and served as co-program Chair for the ACM Conference on Foundations of Genetic Algorithms (FOGA 2021). Additionally, he has held the position of Theory Track co-chair at GECCO 2022 and GECCO 2023. Professor Oliveto is a member of the Steering Committee of the annual workshop on Theory of Randomized Search Heuristics (ThRaSH), served as the Leader of the Benchmarking Working Group for the COST Action ImAppNIO, has been a member of the EPSRC Peer Review College, and served as an Associate Editor for IEEE Transactions on Evolutionary Computation.

Prof. Eugene Rex Jalao

University of the Philippines, Philippines

Biography: Dr. Eugene Rex L. Jalao is a Professor of Analytics and Industrial Engineering in the University of the Philippines Diliman, Department of Industrial Engineering and Operations Research. He is also the Program Coordinator of the Artificial Intelligence Program of UPD. He specializes in Decision Support Systems, Business Analytics Solutions, Data Mining, Optimization and Systems Simulation. He obtained his Ph.D. in Industrial Engineering from Arizona State University (ASU) in May 2013. Additionally, he obtained his Masters of Science in Industrial Engineering degree as well as his Bachelor of Science in Industrial Engineering from the University of the Philippines Diliman in 2009 and 2007 respectively. His fifteen years of work and research experience are in the fields of business analytics both here in the Philippines and in the United States of America, specifically in the Banking, FMCG, Manufacturing, Real Estate, Healthcare, Telecommunications and Information Technology industries. He is also a certified SAP ERP Materials Management consultant, a Matlab computing associate, a Certified NVIDIA Deep Learning Instructor and an advocate of the R and Python Programming languages.

Prof. Rammohan Mallipeddi

Kyungpook National University, South Korea

Biography: Dr. Rammohan Mallipeddi, a Senior Member of IEEE, is a Full Professor in the Department of Artificial Intelligence, School of Electronics Engineering, Kyungpook National University, Daegu, South Korea. He earned his master’s and Ph.D. degrees in computer control and automation from Nanyang Technological University, Singapore, in 2007 and 2010, respectively. A globally recognized researcher, he ranks among the top 2% of most-cited researchers worldwide, with over 9,000+ google scholar citations and an h-index of 40.

Dr. Mallipeddi's research interests span evolutionary computing, artificial intelligence, image processing, digital signal processing, robotics, and control engineering. He has published 65 SCI/SCIE papers (2020–2024), including 35 in the top 10%, and collaborated with researchers from 12 countries. He is also an Associate Editor for prestigious journals, including IEEE Transactions on Cybernetics: Systems, Swarm and Evolutionary Computation, Information Sciences, Engineering Applications of Artificial Intelligence, etc.

He has held significant leadership roles, such as General Chair of the International Conference on Smart and Intelligent Systems (2021), Technical Program Chair of MIGARS (2023), and Program Chair for the IEEE Symposium on Differential Evolution since 2018.

My google scholar Profile: https://scholar.google.com.sg/citations?user=bCJAc_8AAAAJ&hl=en

My Lab Website: https://ecis.knu.ac.kr/

Keynote Speakers of ISMSI 2025

Prof. KWONG Sam Tak Wu Lingnan University, Hong Kong, China	Prof. Naoyuki Kubota Tokyo Metropolitan University, Japan	Prof. Amir H. Gandomi University of Technology Sydney, Australia
IEEE Fellow, US National Academy of Innovators Fellow Hong Kong Academy of Engineering and Sciences Fellow	Director of Community-centric Systems Research Center, Tokyo Metropolitan University, Japan Representative Director of the Tokyo Biomarker Innovation Research Association, Japan	ARC DECRA Fellow, Highly Cited Researcher award (top 1% publications and 0.1% researchers)
Speech Title: Creating a Better Future: Harnessing AI for Social and Environmental Responsibility	Speech Title: Topological Intelligence and Coevolutionary Computation	Speech Title: Evolutionary and Swarm Intelligence for Real-World Problems