Objective
The objective of the International Conference on AI–IoT Technologies for Renewable and Sustainable Energy (AIoT-RSE 2025) is to bring together researchers, industry experts, innovators, and policymakers to explore the latest advancements in Artificial Intelligence (AI) and Internet of Things (IoT) technologies for renewable and sustainable energy systems. The event aims to foster interdisciplinary collaboration, promote knowledge exchange, and highlight emerging solutions that enhance energy efficiency, grid reliability, smart monitoring, and sustainable energy generation. By providing a platform for sharing cutting-edge research, practical applications, and future trends, the conference seeks to accelerate innovation, support global sustainability goals, and encourage the development of intelligent, data-driven energy systems for a greener future.
Join Us
AIoT-RSE 2026 warmly invites students, professors, researchers, industry experts, government bodies, and nonprofit leaders to contribute high-quality, innovative work that advances the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within renewable and sustainable energy systems. We welcome cutting-edge theoretical and applied research addressing emerging challenges and opportunities in smart energy technologies, including but not limited to: AI-enabled renewable energy forecasting, IoT-based energy monitoring, intelligent grid optimisation, energy storage management, decentralized energy systems, data-driven sustainability solutions, and next-generation smart infrastructures. Original research papers, conceptual studies, constructive frameworks, empirical investigations, as well as proposals for tutorials, special sessions, workshops, panels, demonstrations, and exhibitions are all cordially invited. Join us in shaping the future of intelligent, resilient, and sustainable energy ecosystems.
Major Tracks
This track explores the fundamental principles, architectures, and enabling technologies that integrate Artificial Intelligence and Internet of Things solutions into renewable energy environments. It aims to highlight system models, interoperability frameworks, and intelligent sensing approaches that form the basis for next-generation sustainable energy infrastructures.
Focusing on the evolution of modern power systems, this track addresses AI- and IoT-driven innovations in smart grid operations, energy distribution, adaptive load balancing, and grid resilience. Contributions may include intelligent control systems, self-healing grid mechanisms, and enhanced communication frameworks for real-time energy management.
This track covers advanced predictive and optimisation methods applied to renewable energy generation, consumption forecasting, weather prediction, and operational efficiency. It welcomes research involving machine learning, deep learning, reinforcement learning, and hybrid AI techniques designed to optimise the performance and reliability of energy systems.
Emphasising connected energy ecosystems, this track examines IoT-based monitoring, distributed energy resources (DERs), sensor networks, edge computing, and remote diagnostic systems. Contributions may address the design and deployment of scalable IoT platforms that enhance visibility, control, and automation within renewable energy environments.
This track highlights ethical, secure, and user-centric approaches to renewable energy technologies, including blockchain-enabled decentralisation, cybersecurity challenges, trust frameworks, data governance, and standards for responsible AI
IoT adoption. It also welcomes discussions on sustainability, privacy, and equitable access within future energy ecosystems.
Paper Submission
For intial Discussion, please contact
🔹 Dr. Md Arafatur Rahman, University of Wolverhampton, UK ([email protected])
🔹 Dr. Abu Yousuf, University of Oklahoma, USA ([email protected])
🔹 Prof. Mohammed Atiquzzaman, University of Oklahoma, USA ([email protected])
Registration
Event Speakers / meet with greaters
Dr. Mohammed Atiquzzaman
Professor
University of Oklahoma, USA
Event Organizer
Organising Committee
Prof. Dr. Prashant Pillai, Pro Vice-Chancellor for Research and Knowledge Exchange, University of Wolverhampton, UK
Dr. Arafatur Rahman, University of Wolverhampton, UK
Dr. Abu Yousuf, University of Oklahoma
Prof. Dr. Mohammed Atiquzzaman, Hitachi Chair, Presidential Professor of Computer Science, University of Oklahoma
Md Jasim Uddin, Cardiff Metropolitan University, UK
Dr. Ahmad Firdaus bin Zainal Abidin, Universiti Malaysia Pahang Al-Sultan Abdullah , Malaysia
Andultahman Ahmed Mohammed Al-Sewari, Bitmingham City University, UK
Dr Muhammad Kamran Naeem, University of Northampton, UK
Eklas Hossain, Oregon Institute of Technology, USA
Mohammad Osiur Rahman, University of Chittagong, Bangladesh
Ganesh Gopal, Galgotias University, India
Dr Amin Noroozi Fakhabi, University of Wolverhampton, UK
Dr Joseph Kaberuka, University of Wolverhampton, UK
Dr Muhammad Amjad, University of Wolverhampton, UK
Dr Atiku Abubakar, University of Wolverhampton, UK
Dr. Xiaokang Wang, St. Francis Xavier University, Canada
Dr. Taha H. Rassem, De Montfort University, UK
Dr Kashinath Basu, Oxford Brookes University, UK