Najam Ul Hasan

About

Dr. Najam Ul Hasan is a researcher at the forefront of artificial intelligence and robotics, with a primary focus on computer vision and intelligent automation. His most impactful work centers on advancing human action recognition through deep learning. In his highly cited 2021 study (48 citations), Dr. Hasan developed a transfer learning-based framework capable of efficiently recognizing both long-duration and overlapping human actions in video data—a significant challenge in the field. This contribution has direct implications for surveillance, human-computer interaction, and assistive technologies. Beyond vision, Dr. Hasan applies his expertise to industrial robotics. His work on a metallic scrap collection robot addresses the critical issue of metal waste management in modern industries. By designing a robot with an efficient trajectory for collecting scrap metal, he contributes to safer, cleaner, and more sustainable industrial environments. This dual focus on high-level perception and practical automation demonstrates Dr. Hasan’s commitment to solving real-world problems, from enhancing machine understanding of human behavior to improving waste handling in manufacturing. His research bridges the gap between cutting-edge AI and tangible industrial applications.

Research Focus

Key Achievements

Top Papers

1. 1
   A transfer learning-based efficient spatiotemporal human action recognition framework for long and overlapping action classes

   48 citations · 2021
2. 2
   Metallic Scrap Collection Robot with Efficient Trajectory

   2 citations · 2020

Key Collaborators

Contact & Links