Dr. Shaheen Usmani is an Assistant Professor in Computer Science specializing in Machine Learning, Deep Learning, and Computer Vision, with a research focus on deepfake detection and multimodal learning. She completed her Ph.D. from Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior. Her research contributions include publications in reputed journals and conferences. Currently serving at K.R. Mangalam University, Gurugram,
She has working experience of 1 year, prior to this she was working with Galgotias University.
- Shaheen Usmani, Sunil Kumar, Debanjan Sadhya, “Spatio-temporal knowledge distilled video vision transformer (STKD-VViT) for multimodal deepfake detection,” Neurocomputing, Vol. 620, ISSN 0925-2312, 2024.
- Shaheen Usmani, Sunil Kumar, Debanjan Sadhya,”Efficient deepfake detection using shallow vision transformer,” Multimedia Tools and Applications, vol. 83, 12339–12362 (2024).
- Shaheen Usmani, ”Data Mining Machine Learning Algorithms for Air Pollutant Prediction”, Artificial Computational Intelligence, 2019.
- Shaheen Usmani, Sunil Kumar, Debanjan Sadhya, “Enhancing Generalization Ability in Deepfake Detection via Continual Learning,” in Proceedings of the Fifteenth Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP ’24), Association for Computing Machinery, New York, NY, USA, Article 8, 1–8.
- Shaheen Usmani, Bharat Chandwani, Debanjan Sadhya, “Driver Drowsiness Detection Using Vision Transformer,” in Computer Vision and Image Processing( CVIP 2023)
- Shaheen Usmani}, Debanjan Sadhya, Sunil Kumar, “Supervised Contrastive Approach for Robust Deepfake Detection,” in Computer Vision and Image Processing( CVIP 2025)
- Master’s fellowship awarded by AICTE.
- PhD fellowship awarded by MHRD.