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Dr

Arnab Bhattacharjee

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Overview

Availability

Dr Arnab Bhattacharjee is:
Available for supervision

Qualifications

  • Bachelor (Honours) of Electrical and Electronic Engineering, National Institute of Technology Tiruchirappalli
  • Doctor of Philosophy of Electrical Engineering and Computer Science, The University of Queensland - Indian Institute of Technology Delhi Academy of Research

Works

Search Professor Arnab Bhattacharjee’s works on UQ eSpace

8 works between 2019 and 2024

1 - 8 of 8 works

2024

Journal Article

DeeBBAA: a benchmark deep black box adversarial attack against cyber-physical power systems

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

DeeBBAA: a benchmark deep black box adversarial attack against cyber-physical power systems

2024

Other Outputs

Advancing energy system modelling and cybersecurity through holistic AI development

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

Advancing energy system modelling and cybersecurity through holistic AI development

2023

Journal Article

Deep latent space clustering for detection of stealthy false data injection attacks against AC state estimation in power systems

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

Deep latent space clustering for detection of stealthy false data injection attacks against AC state estimation in power systems

2022

Conference Publication

Deep adversary based stealthy false data injection attacks against AC state estimation

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

Deep adversary based stealthy false data injection attacks against AC state estimation

2022

Journal Article

xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography

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

xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography

2021

Journal Article

Estimating state of charge for xEV batteries using 1D convolutional neural networks and transfer learning

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

Estimating state of charge for xEV batteries using 1D convolutional neural networks and transfer learning

2020

Conference Publication

C-MI-GAN : Estimation of Conditional Mutual Information Using MinMax Formulation

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.

C-MI-GAN : Estimation of Conditional Mutual Information Using MinMax Formulation

2019

Conference Publication

A Novel Stochastic Optimization Algorithm Inspired From The Biology Of Plant Reproduction

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

A Novel Stochastic Optimization Algorithm Inspired From The Biology Of Plant Reproduction

Supervision

Availability

Dr Arnab Bhattacharjee is:
Available for supervision

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Media

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