Specialization

Machine learning, Deep learning, Computer vision

Email

shaheen.usmani@thapar.edu

Education
1.    Ph.D in Information Technology from Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior, India.
o    Title – Development of Multimodal Deepfake Detection Techniques using Vision Transformer
2.    M.Tech. in Computer Science and Engineering from Madhav Institute Of Technology and Science, Gwalior.
3.    B.E. in Information Technology from RGPV Bhopal. 

Trainings
1.    Certifications in various QIPs/FDPs/STC from organizations like IITs, NITs, IIITs, and AICTE etc.

Experience
1.    Assistant Professor, Computer Science and Engineering Department, Thapar Institute of Engineering & Technology (TIET), Patiala, India (June 2026 - present)
2.    Assistant Professor, Computer Science and Engineering Department, K.R. Mangalam University, Gurugram (February 2026 – May 2026)
3.    Assistant Professor, Computer Science and Engineering Department, Galgotias University, India (July 2025 – January 2026)

Journal publications
1. 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. 
2. Shaheen Usmani, Sunil Kumar, Debanjan Sadhya, "Efficient deepfake detection using shallow vision transformer",  Multimedia Tools and  Applications, vol. 83, 12339–12362 (2024).
 3. Shaheen Usmani, "Data Mining & Machine Learning Algorithms for Air Pollutant     Prediction", Artificial & Computational Intelligence, 2019. 
  4. Shaheen Usmani, Sunil Kumar, Debanjan Sadhya, " A comprehensive survey on techniques, challenges and future directions", Computers and Electrical Engineering, Volume 136, 2026, 111210, ISSN 0045-7906.

Conference publications
1.    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. 
2.    Shaheen Usmani, Bharat Chandwani, Debanjan Sadhya, "Driver Drowsiness Detection Using Vision Transformer," in Computer Vision and Image Processing( CVIP 2023). 
3.    Shaheen Usmani, Debanjan Sadhya, Sunil Kumar, "Supervised Contrastive Approach for Robust Deepfake Detection," in Computer Vision and Image Processing( CVIP 2025) Accepted.

Peer reviewer for Journals
●    IEEE Transactions on Neural Networks and Learning Systems
 

Honours and Achievements
●    Qualified Graduate Aptitude Test in Engineering (GATE) in 2017, 2020.
●    Qualified National Eligibility Test (UGC-NET) for Assistant Professor in December 2018, 2019.
●    Gold Medalist in B.E.