Intelligent Vision and Computing

Apu Kumar Saha is working as an associate 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 Ph.D. from NIT Agartala. He is an active researcher for the past ten plus years. His fields of research are Population-Based Optimization Algorithms, Multi-Criteria Decision Making, Computational Fluid Dynamics, Topological Spaces. He has published over a hundred papers in reputed international journals, two books, fifteen book chapters and over forty international conferences. Ten candidates received Ph.D. under his guidance and five more candidates are currently pursuing Ph.D. under him.Harish Sharma is an associate professor at Rajasthan Technical University, Kota in Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota, and Government Engineering College Jhalawar. He received his B. Tech and M. Tech degree in Computer Engineering from Govt. Engineering College, Kota and Rajasthan Technical University, Kota in 2003 and 2009, respectively. He obtained his Ph.D. from ABV—Indian Institute of Information Technology and Management, Gwalior, India. He is secretary and one of the founder members of Soft Computing Research Society of India. He is a life time member of Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of “International Journal of Swarm Intelligence (IJSI)” published by Inderscience.Mukesh Prasad is a senior lecturer at School of Computer Science in the Faculty of Engineering and IT at UTS who has made substantial contributions to the fields of machine learning, artificial intelligence and the internet of things. Mukesh’s research interests include also big data, computer vision, brain computer interface and evolutionary computation. He is working also in the evolving and increasingly important field of image processing, data analytics and edge computing, which promise to pave the way for the evolution of new applications and services in the area of healthcare, biomedical, agriculture, smart cities, education, marketing and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions and conferences, he has written more than 100 research papers.Lokesh Chouhan is an associate professor in Computer Science and Information Technology at the National Forensic Sciences University (NFSU), located at the Goa Campus under the Home Ministry. With extensive teaching experience at prestigious institutions, he has made significant contributions to the field. Previously, Dr. Chouhan held the positions of the dean (Academics) and assistant professor of Computer Science at the Indian Institute of Information Technology (IIIT) Surat. Prior to his tenure at IIIT Surat, Dr. Chouhan served as an assistant professor in the Computer Science & Engineering (CSE) Department at Maulana National Institute of Technology (NIT), Hamirpur (H.P.), and also at Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P.), India.Naveen Kumar Chaudhary has been a professor of Cyber Security and dean at the National Forensic Sciences University, Gandhinagar, Gujarat, India, since 2019. He is also a courtesy research professor at the Knight Foundation School of Computing and Information Science, Florida International University, Miami, USA. He holds a Bachelor of Technology degree in Information Technology and Telecommunication Engineering, Master of Engineering degree in Digital Communication and Master’s in Business Administration. He earned his Ph.D. in Engineering and advanced certifications in Cyber and Network Security. He also heads training and international department of the University and presently tenanting the appointment of Campus Director NFSU Goa Campus.

• 1. Python-driven Mapping of Technological Proficiency with AI to Simplify Transfer Applications in Education.- 2. Optimizing Categorical Boosting using Modified Metaheuristic for Review Sentiment Analysis.- 3. Comprehensive Analysis on Sentiment Analysis using Bidirectional Sequential Models.- 4. Optimizing Brain Tumor Detection through Deep Learning.- 5. Efficient Shard Allocation and Security-Driven Optimization in Metaverse Blockchain Frameworks.- 6. Unified NeRF: Integrating Explicit and Implicit Techniques for Advanced 3D Scene Modeling.- 7. Multi sensors setup and placement with simulation using ROS and GAZEBO.- 8. OWM-DM: Optimal Weighted Model for Decision-Making-Based Intrusion Detection in IoT Environment for Handling Cyber-Attacks.- 9. Leveraging Hypergraph Neural Network for Fake News Detection on UPFD Dataset.- 10. Efficient Intrusion Detection in Social IoT: A Hybrid CNN-LSTM Model.- etc.