Dr. Jagdish Chand Bansal is a Professor and Dean (Research and Development) at South Asian University New Delhi. He is also a Visiting Professor at Maths and Computer Science, Liverpool Hope University, UK. He also holds a visiting professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary areas of interest are swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems in the engineering domain. He has published over 70 research papers in various international journals/conferences. He is the Section Editor (editor-in-chief) of the journal MethodsX published by Elsevier. He is the series editor of the four Springer book series AIS, SADIC, ISTC and SST published by Springer. He is also the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY published by Elsevier. He is also the Associate Editor of the Soft Computing journal published by Springer. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.
Snehanshu Saha holds master’s degree in mathematical and computational sciences at Clemson University, USA and Ph.D. from the Department of Applied Mathematics at the University of Texas at Arlington in 2008. He was the recipient of the prestigious Dean's Fellowship during PhD and Summa Cum Laude for being in the top of the class. After working briefly at his Alma matter, Snehanshu moved to the University of Texas El Paso as a regular full-time faculty in the Department of Mathematical Sciences, University of Texas El Paso. Currently, He is a professor of Computer Science and Engineering at PES University since 2011 and heads the Center for AstroInformatis, Modeling and Simulation. He is also a visiting Professor at the department of Statistics, University of Georgia, USA and BITS Pilani, India. He has published 90 peer-reviewed articles in top-tier international journals and conferences and authored three textbooks on Differential Equations, Machine Learning and System Sciences respectively.
Hemant Rathore has completed his Bachelor of Engineering (B.E.) in computer science from RGTU, followed by Master of Engineering (M.E) in software systems and Doctor of Philosophy (Ph.D.) from BITS Pilani. He is currently working as an Assistant Professor in the Department of CS & IS, BITS Pilani, K K Birla Goa Campus, India. He has strong academic and industry research experience in the field of data science. His current research interests are in the area of machine learning and deep learning, specifically adversarial robustness, explainability, and interpretability. He has published many research papers in various top journals. He has taught and likes to teach courses like Machine Learning, Advanced Data Mining, Data Mining, and Network Security to undergraduate and postgraduate students. He has also guided numerous students for short-term various projects.
Dr. Lipo Wang received the bachelor’s degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). He is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, and data mining. He has 330+ publications, a U.S. patent in neural networks and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He has 8,000+ Google Scholar citations, with H-index 43. He was keynote speaker for 36 international conferences. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 4 IEEE Transactions, and guest editor for 10 journal special issues.
