Dr Chayan Banerjee

2025

• Banerjee, C., Nguyen Thanh, K., Fookes, C. & Karniadakis, G. E. (2025). Physics-Informed Computer Vision: A Review and Perspectives. ACM Computing Surveys, Article 17, 57(1). https://eprints.qut.edu.au/252084
• Banerjee, C., Nguyen, K., Fookes, C., Hancock, G. & Coulthard, T. (2025). Introducing Iterative Model Calibration (IMC) v1.0: a generalizable framework for numerical model calibration with a CAESAR-Lisflood case study. Geoscientific Model Development, 18(3), 803–818. https://eprints.qut.edu.au/256033

2024

• Banerjee, C., Chen, Z. & Noman, N. (2024). Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences. IEEE Transactions on Neural Networks and Learning Systems, 35(3), 3121–3129. https://eprints.qut.edu.au/241033

2023

• Banerjee, C., Nguyen, K., Fookes, C. & Karniadakis, G. (2023). Physics-Informed Computer Vision: A Review and Perspectives. Cornell University Library / arXiv.
• Banerjee, C., Chen, Z. & Noman, N. (2023). Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. Proceedings of the 2023 62nd IEEE Conference on Decision and Control, CDC 2023, 7009–7014. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/247007

2022

• Banerjee, C., Chen, Z., Noman, N. & Zamani, M. (2022). Optimal Actor-Critic Policy With Optimized Training Datasets. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(6), 1324–1334. https://eprints.qut.edu.au/241032
• Banerjee, C., Chen, Z. & Noman, N. (2022). Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States. Cornell University Library / arXiv.

2018

• Navya Deepthi, V., Banerjee, C. & Saxena, S. (2018). Dynamic 2-D pattern-based passive communication in swarm agents. Advances in Electronics, Communication and Computing, 713–722. Springer. https://eprints.qut.edu.au/237514

2015

• Banerjee, C., Datta, D. & Agarwal, A. (2015). Chaotic patrol robot with frequency constraints. Proceedings of 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 340–344. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/237509
• Banerjee, C., Datta, D. & Datta, D. (2015). A random bit generator using Rössler chaotic system. Computational Advancement in Communication Circuits and Systems, 81–87. Springer. https://eprints.qut.edu.au/237513
• Banerjee, C. & Sharma, I. (2015). Consensus achievement in multi-agent swarms using weighted median. Proceedings of the 2015 International Conference on Computing, Communication and Automation (ICCCA), 627–631. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/237515
• Das, A., Banerjee, C., Datta, B. & Mukherjee, M. (2015). Estimation of Slot Position for a Slotted Antenna. Computational Advancement in Communication Circuits and Systems, 11–18. Springer. https://eprints.qut.edu.au/237517
• Banerjee, C. & Deepthi, N. (2015). Multiagent coalition formation for distributed area coverage and exploration. Proceedings of 2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/237518

2014

• Banerjee, C. & Saxena, S. (2014). Sybil node detection in peer-to-peer networks using indirect validation. Proceedings of the 2014 Annual IEEE India Conference (INDICON), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/237510
• Banerjee, C., Saxena, S. & Sharma, I. (2014). Consensus achievement in multiagent system using adapted firefly algorithm. Proceedings of the 2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/237516