Innovations in Data Analytics

Dr. Abhishek Bhattacharya is a Professor at Sister Nivedita University, India. He completed his Ph.D. in Computer Science and Engineering from BIT Mesra and is a certified Publons Academy Peer Reviewer (2020). His research interests include Data Mining, Cyber Security, and Mobile Computing. He has published over 55 research papers in reputed venues such as Springer, IEEE, IGI Global, and Taylor & Francis. He has also contributed 3 book chapters and authored 30 edited books. He serves as a reviewer and Technical Program Committee (TPC) member for several international journals and conferences. He has edited multiple conferences including IEMIS (2018, 2020, 2022), ICIDA (2022, 2023), CIIR (2023, 2024), and ICDMIS (2024). He is an active member of professional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, IAENG, and others. He has published 3 patents.Dr. Soumi Dutta is a Professor at Sister Nivedita University, Kolkata, India. She obtained her Ph.D. from IIEST Shibpur and secured 1st position (Gold Medal) in both B.Tech and M.Tech from MAKAUT. She is a certified Publons Academy Peer Reviewer and Microsoft Innovative Educator (2020). Her research interests include Data Mining, Information Retrieval, Social Media Analysis, and Image Processing. She has published more than 100 research papers in reputed journals and conferences including Springer, IEEE, IGI Global, and Taylor & Francis. She has authored and edited around 40 books with leading publishers such as Springer, Elsevier, IGI Global, and Taylor & Francis. She actively serves as a reviewer and TPC member for various international journals and conferences. She is affiliated with ACM, IEEE, IFERP, and other professional organizations. She holds 11 patents and 1 copyright.Dr. Samanta is Department Chair and Assistant Professor in the Department of Computing and Information Technologies at the American Academy of Technology, Tirana (RIT Tirana), Albania. He obtained his Ph.D. in Computer Science and Engineering from NIT Durgapur, specializing in SAR Image Processing. He has co-authored 13 books, co-edited 28 books, and contributed 21 book chapters. His research work has been presented at several international conferences, where he has also received Best Paper awards. He serves as an acquisition editor for reputed publishers including Springer, Wiley, CRC Press, Elsevier, and Scrivener Publishing.Dr. Paramartha Dutta is a Professor at Visva-Bharati University, India. He holds B.Stat. (Hons.), M.Stat., and M.Tech. degrees from the Indian Statistical Institute and a Ph.D. in Engineering from IIEST Shibpur. He is a Fellow of IE (India), IETE, IET (UK), and the Royal Society of Arts (UK), and a Senior Member of IEEE and ACM. He has received several prestigious awards including the Distinguished Scientist Award (2018), Excellence in Science and Technology Award (2018), INSA Teacher Award (2019), and multiple Lifetime Achievement Awards. He has authored 10 books, edited 24 books, and published around 300 research articles. He holds 17 patents and has supervised 17 Ph.D. scholars, with several more currently under his guidance.

• Detection of Geological disorder due to Land Movement Through Image Processing using Machine Learning.- Bioinformatics for Precision Medicine Analysis to medical leeches using Artificial Intelligence.- Machine Learning in Protein Secondary Structure Prediction: A Review on Model Innovations and Labeling Accuracy.- Computational Insights into Protein Tertiary Architecture: A Review of Data-Driven Prediction Methods.- A Comprehensive Review on Parkinson’s Detection Using Deep Learning and Machine Learning Approaches Across Multiple Modalities.- Enhancing the Integrity of Online Information through Robust Detection and Authentication of Deepfakes and Synthetic Media.- AI-Enhanced Gesture Recognition System for Virtual Smart Boards.- Deepfake Detection Technique for Images based on quantum computing.- Self-Supervised Vision Transformers for Real-Time Object Tracking in Autonomous Vehicles.- A Statistical Analytical Review of EEG-Based Epileptic Seizure Detection: An Empirical Study of Modern Computational Techniques.