Ashutosh Kumar Dubey is an Associate Professor in the Department of Computer Science and Engineering at Chitkara University, Himachal Pradesh, India. He is also a Postdoctoral Fellow of the Ingenium Research Group Lab, Universidadde Castilla-La Mancha, Ciudad Real, Spain. Dr. Sushil Kumar Narang is Dean and an Associate Professor in the Department of Computer Science & Engineering at Chitkara University, Rajpura, Punjab since 2019. From 2006-2019, He was head of IT department at SAS Institute of IT & Research, Mohali, Punjab. From 1996-2006 he was Assistant Professor at Department of Computer Science & Applications, MLN College, Yamuna agar, Haryana. He Completed his Ph.D. at Panjab University, Chandigarh. His Research on “Feature Extraction and Neural Network Classifiers for Optical Character Recognition for Good quality handwritten Gurmukhi and Devnagari Characters” focused on various image processing, machine as well as deep learning algorithms. His research interests lie in the area of programming languages, ranging from theory to design to implementation, Image Processing, Data Analytics and Machine Learning. He has collaborated actively with researchers in several other disciplines of computer science, particularly Machine Learning on real world use cases. Abhishek Kumar is Assistant Director and Professor in the Department of Computer Science and Engineering at Chandigarh University, Punjab, India. He holds a Ph.D. in Computer Science from the University of Madras and is currently a Post-Doctoral Fellow with the Ingenium Research Group, Universidad de Castilla-La Mancha, Ciudad Real, Spain. He received his M.Tech in Computer Science and Engineering and B.Tech in Information Technology from Rajasthan Technical University, Kota, India. He has over thirteen years of academic teaching experience. His research interests include artificial intelligence, computer vision, image processing, data mining, machine learning, and renewable energy systems. He has authored and edited several books with leading international publishers and serves as a reviewer for reputed journals. Dr. Vicente García-Díaz is a Software Engineer and has a PhD in Computer Science. He is an Associate Professor in the Department of Computer Science at the University of Oviedo. He is also part of the editorial and advisory board of several journals and has been editor of several special issues in books and journals. He has supervised 80+ academic projects and published 80+ research papers in journals, conferences and books. His research interests include decision support systems, Domain-Specific languages and eLearning. Dr. Arun Lal Srivastav is working as Professor and Associate Dean (Research), Tulas University, Dehradun, Uttarakhand, India. He received PhD from the Indian Institute of Technology (BHU), Varanasi. He has also done post-doctoral research at National Chung Hsing University, Taiwan. He is currently involved in the teaching of Environmental Science and Engineering, Disaster Management to the undergraduate engineering students. His research interests include water quality surveillance, climate change, water treatment, river ecosystem, soil health maintenance, engineering education, phytoremediation and waste management. Under his supervision, 3 PhD degrees have been awarded. He has published >150 research papers in various prestigious journals (Elsevier, Springer, IWA, Taylor & Francis etc.) including books, book chapters and conference publications. He has edited many books with Elsevier, Springer, NOVA, IGI global and Wiley. He worked on 04 Government sponsored projects (worth ~16 million INR) on phytoremediation, adsorption, capacity building, organic farming, leachate treatment, agro-waste management etc. He received the prestigious "Teachers Associateship for Research Excellence (TARE) Fellowship" followed by a research grant from the Science and Engineering Research Board (SERB), Govt. of India in 2022. He has also filed 31 patents on multidisciplinary topics and 14 out of which have been granted by the Government of India. He has also been recognized among the top 2% worldwide scientists of Earth and Environmental Sciences jointly by Stanford University and Elsevier in the year 2023, 2024 and 2025. Recently, his name has been included in top 0.05% scholars of the year 2025 by ScholarGPS in Environmental Sciences.

• 1. Current State of energy systems2. Artificial Intelligence and Machine Learning implications to energy systems3. Weather forecasting using Artificial Intelligence4. Intelligent Energy storage5. Modelling and Simulation of Power Electronic Circuits6. Control methods in Renewable energy systems7. Role of Artificial Intelligence in Power Quality Management and Stability Analysis 8. Integration of microgrids9. Rooftop photovoltaic systems 10. Biomass and biogas 11. Renewable energy systems and technologies education12. Evolutionary Intelligence in Renewable energy13. Smart Energetic Management 14. RnE: Renewable Energetic Systems15. Energy efficient lighting systems16. Scope of Artificial Intelligence based solar energy system17. Role of Artificial Intelligence in environmental sustainability18. Integration of Artificial Intelligence with biomethanation19. Hybrid renewable energy system and Artificial Intelligence20. Renewable energy and sustainable developments