Published a paper titled 'Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps' at the IEEE International Conference on Machine Learning and Applications (ICMLA) 2025; presented 'MoCLIP Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation' at the Computer Vision and Pattern Recognition Conference 2025, among other academic works.
Research Experience
Research projects include: Pedestrian Safety (studying the impact of soft infrastructure changes on pedestrian safety through computer vision analysis), Highway Workzone Safety (edge AI pipeline for real-time trajectory tracking and anomaly prediction), and Rural Roundabouts (AI-enabled analytics guiding new rural roundabout designs with speed behavior insights and occupancy tracking).
Background
Assistant Professor at the University of Wyoming, dedicated to advancing intelligent vision systems for safer, smarter infrastructure. His work focuses on computer vision, deep learning, and cyber-physical systems, aimed at improving transportation safety and societal well-being.
Miscellany
Offers research opportunities for passionate, talented, and self-motivated researchers at both the MS and PhD levels.