Manjaree Pandit holds an M.Tech. in Electrical Engineering from Maulana Azad College of Technology, Bhopal (1989), and a Ph.D. from Jiwaji University, Gwalior (2001). She is the Dean of the Faculty of Engineering and Technology at MITS, Gwalior. She is a senior IEEE member and she has published over 70 papers in well-known international journals and serves as the Editor of Engineering Applications of Artificial Intelligence. She has been recognized as an outstanding reviewer by Elsevier and received the Top Peer Reviewer award from the international reviewer database site Publons (Clarivate Analytics) for being in the top 1% of reviewers in Engineering for the year 2017–2019 and the year 2018–2019 and Top Peer Reviewer award by Publons for being in top 1% of reviewers in the cross field in the year 2018–2019.Manoj Kumar Gaur is working as a professor and head of the Mechanical Engineering Department, associate proctor, and incharge of the Institute Industry Interaction Cell at Madhav Institute of Technology and Science, Gwalior, India. He has made substantial contributions to the fields of solar thermal energy, solar distillation, and heat and mass transfer applications. He possesses eighteen years of teaching experience in postgraduate and undergraduate classes. He has authored three books titled “Solar Energy: Problems Solutions and Experiments,” “Optimization of Machining Parameters of Hard Porcelain on CNC Machine,” and “Solar Energy Systems: Thermal Analysis and Its Application.” Eighty of his papers have been published in various international and national journals and conferences. He is an active reviewer of prestigious journals like Solar Energy, Desalination, Desalination and Water Treatment, Journal of Thermal Engineering, etc.Sandeep Kumar is a professor at Christ (Deemed to be University), Bangalore. He recently completed his post-doctoral research in sentiment analysis at Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia. He is an associate editor for Springer's Human-centric Computing and Information Sciences (HCIS) journal. He has published over a hundred research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited fifteen books in the area of computer science published by Springer, Elsevier, and CRC Press.Prof. Mohammad Shorif Uddin earned his PhD from the Kyoto Institute of Technology in 2002, a Master's in Technology Education from Shiga University in 1999, a Bachelor’s in Electrical and Electronic Engineering from BUET in 1991, and an MBA in Marketing from Jahangirnagar University in 2013. He began his academic career as a Lecturer at CUET in 1991 and is currently a Grade 1 Professor in the Department of Computer Science and Engineering at Jahangirnagar University, where he has served as Chairman and Teacher-in-Charge of the ICT Cell. His extensive research includes postdoctoral work at esteemed institutions in Singapore, Japan, Germany, and China, focusing on areas like Computer Vision, Agro-Biomedical Imaging, and Artificial Intelligence. With over 250 published papers and 6,500 citations, he holds two patents, has edited numerous books, and delivered keynote speeches at international conferences. He is a Senior Member of IEEE and an Associate Editor of IEEE Access.

• Histopathological Image Classification on PathMNIST using Pretrained CNN Models.- AI-Driven Demand Response Optimization in Smart Grids using Self-Adaptive Neuno-Evolutionary Algorithms.- Analyzing Gender Bias in Resume Screening with Synthetic Data and Pretrained NLP Models.- Development and Implementation of an Advanced Li-Fi-based Data Transmission Framework for Enhanced Communication Systems.- Interactive Job and Internship Platform: Bridging Academia and Industry through AI-Driven Opportunity Matching.- Industry 4.0 Oriented Machine Health Monitoring using PLC Logic Simulation.- Optimizing Stock Portfolios by Minimizing Downside Volatility using a Random Forest Classifier and Reinforcement Learning.- A Comparative Study of Graph Neural Networks for Robust Network Intrusion Detection Systems.- CrossSafe: An Active Safety Framework for Automated Collision Intervention at Intersections.- Effect of Mutation-segment-length on Transposition Key-string Generated by GA.- Efficiency Optimization of Light Electric Vehicles via a Bridgeless Converter-Based Battery Charging System.- Scenario Driven Insider Threat Detection using Dual Modelling Architecture.- Proto-UNeXt: Prototype-Guided UNeXt for improved Tumour Segmentation.- IoT-Enabled Machine Learning Approach for Predicting Battery Behavior in Electric Vehicles under Varying Road Conditions.- MOCAA* Enhanced: Multi-Objective Context-Aware A* Pathfinding with Integration of Real-World Navigation and Hybrid Admissible Heuristics.