(2023). Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. Published at Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24).

(2021). ConOffense: Multi-modal multitask Contrastive learning for offensive content identification. Presented at MMBD workshop, IEEE Big Data 2021.


(2021). RestHAR: Residual feature learning transformer for human activity recognition from multi-sensor data. Presented at 8th Intl. Conference on Soft Computing & Machine Intelligence.


(2021). Sum rate maximization of D2D networks with energy constrained UAVs through deep unsupervised learning. Presented at IEEE UEMCON 2021, New York, USA.


(2021). FedAffect: Few-Shot Federated Learning for Facial Expression Recognition. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops.

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(2021). COVID-Transformer: Interpretable COVID-19 Detection using Vision Transformer for Healthcare. Published at MDPI International Journal of Environmental Research and Public Health (Digital health track), Impact Factor: 3.39.


(2021). Federated learning and next generation wireless communications: A survey on bidirectional relationship. Accepted (minor revision) at Transactions on Emerging Telecommunications Technologies.


(2021). EmoHinD: Fine-grained multilabel emotion recognition from Hindi texts with Deep learning. Presented at 12th INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES, IIT, KHARAGPUR.


(2021). Deep Q-learning for 5G network slicing with diverse resource stipulations and dynamic data traffic. In Proceedings of 2021 IEEE International Conference on Artificial Intelligence in Information and Communication.

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