I'm Shukesh, a PhD scholar in Multimodal Media Forensics at BITS Pilani, Hyderabad Campus, under the supervision of Dr. Abhijit Das. My research focuses on learning robust face representations for multimodal forensic analysis of manipulated media, with an emphasis on generalization across real-world distribution shifts.
Prior to my PhD, I worked as an Embedded Software Engineer at Aiotel, where I developed scalable IoT platforms and low-power asset tracking devices. Earlier, as a Graduate Engineer Trainee at Eazythings, I worked on industrial IoT systems, including smart energy meters and embedded device architectures.
Looking ahead, I aim to pursue research at the intersection of computer vision and edge-deployable vision systems, with a focus on privacy-preserving and trustworthy media authenticity verification in real-world settings.
Research Updates
Mar 2026: Paper titled “A Backbone Benchmarking Study on Self-supervised Learning as an Auxiliary Task with Texture-based Local Descriptors for Face Analysis” accepted at Springer SN Computer Science.
Jul 2025: Paper titled “Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detection” accepted at IJCB 2025.
Sep 2024: Paper titled “Self-supervised Auxiliary Learning for Texture and Model-based Hybrid Robust and Fair Featuring in Face Analysis” accepted at ICPRW: FairBio 2024.
Apr 2024: Paper titled “INDIFACE: Illuminating India’s Deepfake Landscape with a Comprehensive Dataset” accepted at FG 2024.
Mar 2024: Joined BITS Pilani Hyderabad Campus as a Research Associate on a DBT–ISI Kolkata funded project titled “Generalized Tampering Detection in Media”, supervised by Dr. Abhijit Das.
Publications
Activities
- Reviewer, IJCB 2025 (Biometrics)
- Reviewer, IJCNN 2025 (Neural Networks)
- Participant & Presenter, ICPR 2024 (Pattern Recognition)
- Volunteer, ICRA 2025 Satellite Event (BITS Hyderabad)
- Volunteer, RAISE 2024 Workshop (BITS Hyderabad)