Rate My Professor Anish Jindal

Dr. Anish Jindal serves as Associate Professor in the Department of Computer Science at Durham University since July 2024, having joined as Assistant Professor in January 2022. He is a Fellow of the Durham Energy Institute, co-director of the MSc Advanced Computer Science programme, and Environment Champion for Durham Greenspace. Previously, he was Lecturer in the School of Computer Science and Electronic Engineering at the University of Essex from April 2020 to December 2021 and Senior Research Associate at Lancaster University's School of Computing & Communications from October 2018 to March 2020. Jindal holds visiting fellowships at the Department of Electrical and Computer Engineering at Princeton University (2023), Telefónica Innovación Digital in Barcelona, Spain (2025), and the School of Computer Science and Electronic Engineering at the University of Essex (2022-2024). He also acts as External Examiner for the University of West of Scotland (2023).

Jindal's research specializations include data analytics for smart city applications in domains such as smart homes, smart grids, healthcare, and transportation; green artificial intelligence and machine learning; cyber-physical systems and Internet-of-Things; programmable and scalable networking; resource-aware computing; wireless network and security; and energy optimization. His achievements include the Outstanding Ph.D. Dissertation Award from the IEEE Technical Committee on Scalable Computing (2019), IEEE Communications Society's Outstanding Young Researcher Award for the Europe, Middle East, and Africa region (2019), IEEE Hyper-intelligence Technical Committee Award for Excellence (Early Career Researcher, 2023), Fellowship of Advance HE (FHEA, 2021), and Associate Fellowship (AFHEA, 2020). Notable publications encompass the co-authored book Big Data Analytics: Theory, Techniques, Platforms, and Applications (Springer Nature Switzerland, 2024) and influential papers such as "Decision tree and SVM-based data analytics for theft detection in smart grid" (2016), "BEST: Blockchain-based secure energy trading in SDN-enabled intelligent transportation system" (2019), "SURVIVOR: A blockchain based edge-as-a-service framework for secure energy trading in SDN-enabled vehicle-to-grid environment" (2019), "A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control" (2024), and "Automated Artificial Intelligence Framework for Anomaly Detection in Healthcare SD-IoT Networks" (IEEE GLOBECOM, 2024). With over 3,600 citations, his work advances smart grid security, blockchain-enabled energy trading, sustainable computing, and IoT systems. Jindal has presented invited talks, including on data analytics in smart grids at Durham Energy Institute seminars.