Imran Ahmad

Dr. Imran Ahmad is a Professor in the School of Computer Science at the University of Windsor. He holds a Ph.D. in Computer Science from Wayne State University (1997), with prior degrees in Applied Physics (Electronics) from Karachi and an M.S. in Computer Science from Michigan. His research focuses on computer vision, machine learning, and image processing, including applications in traffic analysis, generative AI, and medical imaging. He has authored over 50 publications since 1995, with recent work emphasizing deep learning for vehicle detection, human activity recognition, and generative models.

Education:

• B.Sc., M.Sc. in Applied Physics (Electronics) – Karachi
• M.S. in Computer Science – University of Michigan
• Ph.D. in Computer Science – Wayne State University, Michigan, USA (1997)

Research Interests:

Dr. Ahmad’s work bridges theoretical and applied computer science. Key areas include:

• Advanced computer vision techniques for real-world systems (e.g., traffic monitoring, medical diagnostics)
• Generative AI for image and video synthesis
• Deep learning optimization and transfer learning
• Human activity recognition using stereo trajectories and motion analysis
• Agent-based simulations for crowd behavior modeling

Key Publications Trends (2020–2025):

Recent work emphasizes:

• Generative models for text-to-image/video synthesis
• Transfer learning for cross-domain image classification
• 3D trajectory analysis for activity detection
• Vehicle detection/classification systems
• Accessibility tools for color vision deficiency