School of Electrical Engineering and Computer Science

Dr Arnab Bhattacharjee

Postdoctoral Research Fellow
School of Electrical Engineering and Computer Science
View researcher profile

Researcher biography

Dr. Arnab Bhattacharjee is an early-career AI and applied optimization researcher specializing in energy systems, power engineering, and machine learning. He earned his Ph.D. with distinction in Electrical Engineering and Computer Science from the University of Queensland and the Indian Institute of Technology Delhi Academy of Research, where he advanced AI-driven modeling for energy systems and cybersecurity. Previously, he completed his B.Tech. (Honors) in Electrical & Electronics Engineering with a minor in Computer Applications at NIT Trichy, graduating as valedictorian. His research experience spans leading institutions, including IIT Delhi, UQ, and Max Planck Institute for Intelligent Systems, where he has contributed to optimization, deep learning, and reinforcement learning applications for sustainable energy and intelligent systems. His expertise includes developing empirical mutual information estimation tools, battery degradation modeling, and cyber-physical security solutions for smart grids. Dr. Bhattacharjee has also collaborated with TATA Power, Alt Mobility, and government agencies to enhance energy forecasting, EV infrastructure planning, and AI-driven optimization techniques.

Publications

Journal Articles (4)
Conference Papers (3)
Thesis (1)

Journal Articles

Bhattacharjee, Arnab, Bai, Guangdong, Tushar, Wayes, Verma, Ashu, Mishra, Sukumar and Saha, Tapan K. (2024). DeeBBAA: a benchmark deep black box adversarial attack against cyber-physical power systems. IEEE Internet of Things Journal, 11 (24), 40670-40688. doi: 10.1109/jiot.2024.3454257
Bhattacharjee, Arnab, Mondal, Arnab Kumar, Verma, Ashu, Mishra, Sukumar and Saha, Tapan K. (2023). Deep latent space clustering for detection of stealthy false data injection attacks against AC state estimation in power systems. IEEE Transactions on Smart Grid, 14 (3), 1-1. doi: 10.1109/tsg.2022.3216625
Mondal, Arnab Kumar, Bhattacharjee, Arnab, Singla, Parag and Prathosh, A. P. (2022). xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography. IEEE Journal of Translational Engineering in Health and Medicine, 10 1100110, 1-10. doi: 10.1109/jtehm.2021.3134096
Bhattacharjee, Arnab, Verma, Ashu, Mishra, Sukumar and Saha, Tapan (2021). Estimating state of charge for xEV batteries using 1D convolutional neural networks and transfer learning. IEEE Transactions on Vehicular Technology, 70 (4) 9372902, 1-1. doi: 10.1109/tvt.2021.3064287

Conference Papers

Bhattacharjee, Arnab, Mishra, Sukumar and Verma, Ashu (2022). Deep adversary based stealthy false data injection attacks against AC state estimation. 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), Melbourne, Australia, 20-23 November 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/appeec53445.2022.10072221
Mondal, Arnab Kumar, Bhattacharjee, Arnab, Mukherjee, Sudipto, Prathosh, A. P., Kannan, Sreeram and Asnani, Himanshu (2020). C-MI-GAN : Estimation of Conditional Mutual Information Using MinMax Formulation. Conference on Uncertainty in Artificial Intelligence (UAI), Online, 3-6 August 2020. San Diego, CA United States: Proceedings of Machine Learning Research.
Sundareswaran, Kinattingal and Bhattacharjee, Arnab (2019). A Novel Stochastic Optimization Algorithm Inspired From The Biology Of Plant Reproduction. 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India, 20-22 February 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/icecct.2019.8869007

Thesis

Bhattacharjee, Arnab (2024). Advancing energy system modelling and cybersecurity through holistic AI development. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/8c101e2