Dr. Ajith Abraham is the Vice-Chancellor of Sai University, Chennai, India. Prior to joining Sai University, he held vice-chancellor positions at several prestigious institutions and served as the Founding Director of the Machine Intelligence Research Labs (MIR Labs), a non-profit scientific network based in Seattle, USA, dedicated to innovation and research excellence. With over 35 years of multidisciplinary research experience, Dr. Abraham has led or participated in research projects totaling more than $110 million, funded by the United States, the European Union, Italy, the Czech Republic, France, Malaysia, China, and Australia.

He is the author or co-author of over 1,500 publications, including 561 journal articles, 558 conference papers, 85 book chapters, 9 authored books, 58 edited books, 187 edited conference proceedings, and 13 invited articles or special contributions. Several of his works have been translated into Chinese, Russian, and Japanese. His publications are widely indexed in Scopus (~1,400 articles) and Web of Science (>1,000 articles), and according to Google Scholar, his work has received over 63,000 citations with an H-index above 118.

Dr. Abraham has collaborated with renowned researchers from MIT (USA), University of Cambridge (UK), Harvard University (USA), and Oxford University (UK), and has delivered over 250 plenary talks and tutorials in more than 20 countries. He served on the IEEE Systems, Man, and Cybernetics Society Technical Committee on Soft Computing (2008–2021) and was a Distinguished Lecturer for the IEEE Computer Society (2011–2013). He was also the Editor-in-Chief of Engineering Applications of Artificial Intelligence (Elsevier, 2016–2021) and has served on the editorial boards of more than 15 international ISI-indexed journals.

Dr. Abraham is consistently ranked among the top 2% of most-cited scientists worldwide (Stanford/Elsevier) and is in the top 0.01% of cited scientists in engineering and computer science according to ScholarGPS (2024). He holds a Ph.D. in Artificial Intelligence from Monash University, Melbourne (2001), an M.Sc. from Nanyang Technological University, Singapore (1998), and a B.Tech (Hons) from the University of Calicut (1990).

Dr. Parthasarathy Subashini is Professor of Computer Science and Coordinator of the Centre for Machine Learning and Intelligence at Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India. With over 30 years of research and teaching experience, she has been instrumental in advancing AI research and education across disciplines.

Her research interests include Artificial Intelligence, Computational Intelligence, Image Analysis, Pattern Recognition, Neural Networks, and Nature-Inspired Computing, with applications spanning science and engineering domains.

Dr. Subashini has authored over 170 research publications, including 10 books, 12 book chapters, 1 monograph, and 172 research articles published by IEEE, Springer, and other reputed international publishers. She holds 4 patents and has led 17 research projects worth over ₹5 crores, funded by prestigious agencies including DRDO, DST, SERB, and UGC. She has mentored over 10 Ph.D. scholars and more than 100 postgraduate students.

She has established international collaborations with University of Wyoming (USA), Université Hassan II Casablanca (Morocco), Brunel University (UK), Swansea University (UK), Thompson Rivers University (Canada), Université Hassan I (Morocco), and Athabasca University (Canada), and has participated in knowledge-sharing events across 17+ countries.

Dr. Subashini is an active member of IEEE, IEEE Computational Intelligence Society, and Computer Society of India. She served as IEEE Chair for Women in Computing (2015–2016) and is a recipient of the DST-DAAD (PPP) Fellowship (2011–2013).