Data Science and Security

Dr. Samiksha Shukla is currently employed as a Director and Professor at, the School of Data Science, Symbiosis University of Applied Sciences, Indore. She has over two decades of experience in teaching and research at variour reputed institute across India.  Her research interests include Computation Security, Machine Learning, Data Science and Big Data. She has presented and published several research papers and articles in reputed journals, conferences and magazines. Along with this she has two granted patents and five copyrights to her credit. She is a passionate academician and researcher serving as a reviewer for the Inderscience Journal, Springer Nature’s International Journal of Systems Assurance Engineering and Management (IJSA), and for IEEE and ACM conferences. She has published peer-reviewed articles and conference proceedings papers. She has co-authored and edited numerous books and conference proceedings about Data Science, Data Ethics, Data Economics  and Computational Intelligence related topics. Dr. Hiroki Sayama is a SUNY Distinguished Professor in the School of Systems Science and Industrial Engineering and the director of the Binghamton Center of Complex Systems (CoCo), at Binghamton University, State University of New York, USA. He also serves as a non-tenured professor in the School of Commerce at Waseda University, Japan, as well as an External Faculty member of the Vermont Complex Systems Center at the University of Vermont and a Visiting Professor in the School of Sciences at Christ University, India. He received his B.Sc., M.Sc., and D.Sc. in Information Science, all from the University of Tokyo, Japan. He did his postdoctoral work at the New England Complex Systems Institute in Cambridge, Massachusetts. His research interests include complex dynamical networks, human and social dynamics, collective behaviors, artificial life/chemistry, interactive systems, and complex systems education, among others.  Dr. Kapil Tiwari is working as a Senior Software Development manager at Amazon, India. Dr. Tiwari has over two decades of experience in software projects development. His roles in OpenText, EMC, Sun Microsystems, Siemens Information Systems Ltd., and Amazon have exposed him to managing, designing, and developing cloud and on-premise software systems. Dr. Tiwari is an alum of C-DAC ACTS, Bangalore and Devi Ahilya University, Indore where he pursued his M.Sc. in Information Technology. His research interest lies in the domains of Data Privacy and Security, wherein he has contributed many quality research papers, two granted patents and two authored books. He did his Ph.D. in Privacy Preserving Machine Learning (PPML), where he has contributed by creating ML architectures to ensure privacy for various contributors in the field. Dr. Joseph Varghese Kureethara is a Professor of Mathematics at Christ (Deemed to be University), Bengaluru, and the Department of Mathematics, Kuriakose Elias College, Mannanam, Kottayam. He was the director of the Centre for Research there. He has nearly two decades of experience in teaching and research at  Christ (Deemed to be University), Bengaluru, and has published over 250 articles in the fields of Graph Theory, Fuzzy Optimization, Number Theory, History, Sports, and Religion, both in English and Malayalam. Kureethara co-edited and authored 13 books. His blog articles, comments, facts, and poems have earned about 2 lakh total pageviews. He has delivered invited talks at over fifty conferences and workshops. He was the mathematics section editor of the Mapana Journal of Sciences, a member of the Editorial Board, and a reviewer of several journals. He has worked as a member of the Board of Studies, Board of Examiners, and Management Committee of several institutions.

• Microsatellite Magnetic Cleanliness Based on Geometric Inverse Magneto Static Problem Solution.- An Intelligent Spam Email Detection System using Machine Learning.- Design and Development of Sustainable Apiculture Monitoring System by using AI&ML.- Leveraging Agentic Rag to Improve Contextual Understanding and Reduce Hallucinations in Large Language Models.- American Sign Language Recognition Using Yolo-Nas.