Irfan Ahmed Halepoto
Papers
2
Total Citations
37
H-Index
2
About
Irfan Ahmed Halepoto is a researcher dedicated to advancing industrial automation and intelligent control systems. His primary research areas encompass energy-efficient industrial processes, mechatronics, and human-machine interaction. Halepoto’s most significant contribution is the design and implementation of an intelligent energy-efficient conveyor system, which integrates variable speed drive control with physical modeling. This work, cited 35 times, provides a practical framework for reducing energy consumption in manufacturing, addressing a critical need for sustainable industrial productivity through precise data acquisition and process monitoring. He has also explored novel control interfaces, developing a gesture-based unmanned vehicle system aimed at creating a universal remote for machinery, enhancing operational ease and effectiveness. While this project has garnered initial attention with 2 citations, it highlights his forward-thinking approach to intuitive control. Halepoto’s work bridges the gap between theoretical control engineering and real-world industrial applications, offering tangible solutions for smarter, greener factories. His contributions are particularly valuable for researchers and students interested in automation, energy efficiency, and the future of human-robot collaboration in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design, Development and Control of Gesture Based Unmanned Vehicle2 citations · 2021