Dr. Ashish Kumar Tripathi (Member, IEEE) received his M.Tech and Ph.D. degrees in Computer Science and Engineering from Delhi Technological University, Delhi, India, in 2013 and 2019 respectively. He is currently working as an Assistant Professor with the Department of Computer Science & Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India. His research interests include big data analytics, social media analytics, soft computing, image analysis, and natural language processing. Dr. Tripathi has published several papers in international journals and conferences including IEEE transactions. He is an active reviewer for several journals of repute.Dr. Apu Kumar Saha is working as a professor in the Department of Mathematics, National Institute of Technology Agartala. He completed his M.Sc. degree in Mathematics from Tripura University with gold medal and completed his PhD from NIT Agartala. He is an active researcher for the past ten plus years. His fields of research are Artificial Intelligence, Soft Computing, Decision Support Systems, Waste Management, etc. He has published over one hundred fifty papers in reputed international journals, several books and book chapters and over seventy international conferences.   Dr Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China and USA. Presently he is holding the position of professor at National Institute of Technology Uttarakhand, India. Prior to his academic assignments he has worked as System Reliability Engineer at SanDisk Semiconductors Shanghai China and USA. Dr. Shrivastava has significant industrial experience of collaborating with industry and Government organizations at SanDisk Semiconductors he has made significant contribution to the design development of memory products. Dr. Shrivastava has published over 80 journal articles, and presented papers at conferences, and has published several chapters in books.

• Optimizing House Price Predictions: A Comparative Analysis of Xgboost-Lightgbm Hybrid and Conventional Ml Models.- Implementation of Pyramid Dilated DenseNet for MRI-based Carotid Plaque Classification with Multi-Label Segmentation.- Implementation of Pyramid Dilated DenseNet for MRI-based Carotid Plaque Classification with Multi-Label Segmentation.- Comparative Analysis of Bearing Fault Diagnosis using Ensemble Machine Learning Techniques and Signal Processing.- Smart Contract Funding using Blockchain.