Hari Mohan Pandey
Edge Hill University, Amity University, Middlesex University, Middle East College
Papers
6
Total Citations
341
H-Index
4
About
Dr. Hari Mohan Pandey is a distinguished researcher whose work spans the dynamic intersection of artificial intelligence, robotics, and human-computer interaction. His primary research areas include multimodal human activity recognition, robotic path planning, and the application of deep learning in automation. Dr. Pandey’s most impactful contribution is his comprehensive review on multimodal human activity recognition, which has garnered over 300 citations, establishing it as a foundational resource for researchers working on classification techniques, real-world applications, and emerging challenges in the field. He has also made notable advances in robotics, developing an improved block matching algorithm for motion estimation in video sequences and proposing a modified whale optimization algorithm for multi-objective robot path planning. His work on deep learning libraries provides a systematic taxonomy that aids practitioners in selecting appropriate tools for complex tasks. Additionally, Dr. Pandey has contributed to the critical area of workplace violence prevention through security robots. His research not only advances theoretical understanding but also offers practical solutions for versatile manufacturing and autonomous systems, making him a key figure in modern intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A Comprehensive Classification of Deep Learning Libraries10 citations · 2018
- 4Special Issue on Workplace Violence Prevention using Security Robots5 citations · 2021
- 5Advances in Ambiguity Detection Methods for Formal Grammars4 citations · 2011
- 6