Dr. (Prof.) Aboul Ella Hassanein is the Founder and Head of the Egyptian Scientific Research Group (SRGE). Hassanien has more than 1000 scientific research papers published in prestigious international journals and over 50 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment. Prof. Hassanien won several awards including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities from the University of Kuwait for the 2004 Award, and received the superiority of scientific - University Award (Cairo University, 2013). Also He honored in Egypt as the best researcher in Cairo University in 2013. He was also received the Islamic Educational, Scientific and Cultural Organization (ISESCO) prize on Technology (2014) and received the state Award for excellence in engineering sciences 2015.Dr. Sameer Anand is currently working as an Associate professor in the Department of Operational Research Faculty of Mathematical sciences University of Delhi, Delhi, India.. He has received his M.Sc., M.Phil, and Ph.D. (Software Reliability) from Department of Operational Research, University of Delhi. He is a recipient of ‘Best Teacher Award’ (2012) instituted by Directorate of Higher Education, Govt. of NCT, Delhi. The research interest of Dr. Anand includes Operational Research, Software Reliability and Machine Learning. He has completed an Innovation project from the University of Delhi. He has worked in different capacities in International Conferences.Dr. Ajay Jaiswal is currently serving as a Principal, School of Open Learning University of Delhi Delhi, India. He is co-editor of two books/Journals and co-author of dozens of research publications in International Journals and conference proceedings. His research interest includes pattern recognition, image processing, and machine learning. He has completed an interdisciplinary project titled " Financial Inclusion-Issues and Challenges: An Empirical Study" as Co-PI. This project was awarded by the University of Delhi. He obtained his masters from the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi.Dr. (Prof.) Prabhat Kumar is a Professor in Computer Science and Engineering Department at National Institute of Technology Patna, India. He is a member of the International Federation for Information Processing (IFIP) Working Group (WG) 6.11: “Communication Aspects of the E-World” as well as member of NWG-13 (National Working Group 13) corresponding to ITU-T Study Group 13 “Future Networks, with focus on IMT-2020, cloud computing and trusted network infrastructures”. He is currently having the administrative responsibilities of Chairman, Computer and IT Committee and Professor In charge (IT Services) of NIT Patna. He has served as Head of Department, Computer Science and Engineering, NIT Patna and State Student Coordinator of Bihar for Computer Society of India. He is a senior member of IEEE, professional member of ACM, life member of CSI, IAENG, ISTE and global member of Internet Society. Dr. Prabhat Kumar has more than 125 publications in reputed international journals and conferences. He has published two books, completed two research projects and has an Indian patent. He has supervised 6 PhD and 25 M.Tech scholars.

• Comparative Study of Deep Neuro-Fuzzy Systems with Artificial Neural Networks for Diabetes Prediction in Siddha Healthcare.- Adaptive Artificial Hummingbird Algorithm-Based Single Diode Photovoltaic Model Parameter Estimation.- Enhancing the Flood Risk Management By using Machine Learning Algorithms.- ZeroDCE-CBAM: Lightweight Spatial-Channel Aware Illumination Enhancement for Images.- Generating Coherent Children Stories in English Using Language Models: A Comparative Study.- Machine Learning-Based Clustering of Global Labor Markets Using Unemployment Profiles.- A Comprehensive Research and Analysis Study on AyurMate: The Healthcare Platform.- Evaluation of Accuracy and Efficiency of Machine Learning Models for Environmental Monitoring with COTS Edge-IoT Architectures using Virtualization in Development.- AI That Fixes Its Own Mistakes: A Self-Healing Agentic Model without Retraining.- Online Monitoring of Battery Parameters and SoH Prediction.- Building Future- Proof IoT Networks with Quantum Cryptography and Quantum Machine Learning.- Hybrid Stacking Ensemble Model for Cardiovascular Disease Risk Prediction.- A Machine Learning–Driven Framework for Early Heart Disease Detection Using Multivariate Clinical Indicators.- Hybrid Religion Algorithm and Improved Conjugate Gradient Method for Solving Non Linear optimization problems.- A Novel Gamma-Log Transform based image enhancement approach for low contrast plant disease detection.