2025: Submitted 2 papers to top AI conferences; released I-INR paper on arXiv (arXiv:2504.17364)
2024: AAAI paper accepted (co-first author) on color correction diffusion model for scanned images; attended NeurIPS 2024
2024: Published 'Improving Implicit Neural Representations with Robust Loss Function' at Korea Broadcasting Media Engineering Conference
2021: First-author paper on thermal imaging human detection published in Infrared Physics & Technology (Impact Factor: 3.4)
Collaborated with Adobe Research, Télécom Paris, and LTCI on multiple publications
Research Experience
Researcher at MLVC Lab, Kyung Hee University (since 2022), working on INRs, diffusion models, and multimodal AI
Research Assistant at Center for Intelligent Systems and Security (CISS), Information Technology University, Lahore (2019–2022), under Dr. Qasim Mehmood, developing AI systems for automated malaria detection
Involved in MRI Acceleration and Reconstruction project with AiLive and NYU, using diffusion models for clinical imaging
Collaborated with KEI Media on Video Quality Assessment for streaming platforms, developing no-reference metrics
Led algorithm and data pipeline development at AI startup Due Dilly for sports card grading; company acquired by Beckett Media
Designed a low-cost microscopic malaria detection system at CISS, integrating hardware and AI for virtual staining and low-resource diagnosis