Data Management, Analytics and Innovation: Proceedings of ICDMAI 2024, Volume 2: 998 (Lecture Notes in Networks and Systems) - Softcover

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Dr. Neha Sharma is Data Science Crusader who advocates its application for achieving sustainable goals, solving societal, governmental, and business problems as well as promotes the use of open data. She has more than 24 years of experience and presently working with Tata Consultancy Services and is Founder Secretary, Society for Data Science. Prior to this, she has worked as Director of premier Institute of Pune that run post-graduation courses like MCA and MBA. She is Alumnus of a premier College of Engineering and Technology, Bhubaneshwar, and completed her Ph.D. from prestigious Indian Institute of Technology, Dhanbad. She is Senior IEEE Member, former Secretary―IEEE Pune Section and ACM Distinguished Speaker. She is Astute Academician and has organized several national and international conferences and published several research papers. She is Recipient of “Best Ph.D. Thesis Award” and “Best Paper Presenter at International Conference Award” at National Level.

Dr. Amol C. Goje is President of Society of Data Science and served as Director, Vidya Pratishthan’s Institute of Information Technology (VIIT), Baramati, Pune, for last 19 Years. He has a total of over twenty five years of experience in the field of Information and Computer Technology (ICT). He has developed many systems for the University. His main area of interest is to work for underprivileged people in the rural part of India. In his nineteen years as Director, he has designed and implemented numerous path-breaking, innovative, and cost effective solutions. His main innovation is Computer Mobile Van. He has done lot of research work in Information Technology and its application for rural community. In appreciation to his exemplary work, he has received the Ashoka Fellow award in the year 2002. He is engaged as Technical Advisor on many government and non-government organizations.

Amlan Chakrabarti is presently Full Professor and Director of the A.K.Choudhury School of Information Technology, University of Calcutta. He is an M.Tech. from University of Calcutta and did his Doctoral research at the Indian Statistical Institute, Kolkata. He was Post-doctoral Fellow at the School of Engineering, Princeton University, USA, during 2011–2012. He is Recipient of DST BOYSCAST fellowship award in the area of Engineering Science in 2011, Indian National Science Academy Visiting Scientist Fellowship in 2014, JSPS Invitation Research Award from Japan in 2016, Erasmus Mundus Leaders Award from European Union in 2017, Hamied Visiting Fellowship University of Cambridge in 2018 and Shiksha Ratna Award from Govt. of West Bengal, in 2018. He is Team Leader of European Center for Research in Nuclear Science (CERN, Geneva) ALICE-India project for University of Calcutta and also Key Member of the CBM-FAIR project at Darmstadt Germany.

Professor Alfred M. Bruckstein, B.Sc., M.Sc. in EE from the Technion IIT, Haifa, Israel, and Ph.D. in EE, from Stanford University, Stanford, California, USA, is Technion Ollendorff Professor of Science, in the Computer Science Department there, and is Visiting Professor at NTU, Singapore, in the SPMS. He has done research on Neural Coding Processes, and Stochastic Point Processes, Estimation Theory, and Scattering Theory, Signal and Image Processing Topics, Computer Vision and Graphics, and Robotics. Over the years he held visiting positions at Bell Laboratories, Murray Hill, NJ, USA (1987–2001) and TsingHua University, Beijing, China (2002–2023) and made short time visits to many universities and research centers worldwide. At the Technion, he was Dean of the Graduate School and is currently Head of the Technion Excellence Program.

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This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 8th International Conference on Data Management, Analytics and Innovation (ICDMAI 2024), held during 19-21 January 2024 in Vellore Institute of Technology, Vellore, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into two volumes.