- Nandhini, K and Aprem, Anup, “Wasserstein Mechanism for Hiding Cognition in Metacognitive Radars: A Distribution Privacy Framework,” In 2025 IEEE Radar Conference (RadarConf25). 2025, pp. 1-6.
- Nandhini, K and Aprem, Anup, “Bayesian Non-Parametric Active Learning for Information Asymmetric ECCM in Cognitive Radar Electronic Warfare,” In 2025 IEEE International Radar Conference (RADAR). 2025, pp. 1-6.
- Anoop, CV and Aprem, Anup, “Bayesian Inverse Learning and Online Changepoint Detection of Cognitive Radar Strategies,” IEEE Transactions on Radar Systems, 2025.
- Jones, Naveen, Prakash, M Surya, and Aprem, Anup, “A Novel Low-Complexity Approach to Drowsiness detection Using One Bit Bayes Classifier,” In 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). 2024, pp. 58-65.
- Anoop, CV, Negi, Neeraj, and Aprem, Anup, “Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory,” Expert Systems with Applications, Vol. 261, 2025, p. 125475.
- Thomas, Ben, Sanjana, DV, Muraleedas, Sarangi, Nair, Vysakh Vinod, Karat, Nujoom Sageer, and Aprem, Anup, “Autonomous Intersection Management using Gated Recurrent Units,” In 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). 2024, pp. 1-6.
- Paul, Merlin and Aprem, Anup, “Monotonic agent policies in dynamic bayesian persuasion: Application to intelligent traffic routing,” Authorea Preprints, 2024.
- Anoop, CV and Aprem, Anup, “Detecting Changes in Strategy of a Cognitive Radar: a Stochastic Revealed Preference Framework,” Authorea Preprints, 2024.
