Mohammad Shabaz
Lovely Professional University, Indian Institute of Technology Jammu
Papers
5
Total Citations
86
H-Index
4
About
Mohammad Shabaz is a forward-looking researcher at the intersection of artificial intelligence, robotics, and the Internet of Things (IoT), with a strong focus on transforming agriculture and industry through smart automation. His most cited work, a 2021 study on a “Metaheuristic and Machine Learning-Based Smart Engine for Renting and Sharing of Agriculture Equipment” (63 citations), tackles the critical challenge of integrating robotics and AI into farming, addressing both technical optimization and farmer adoption hesitancy. Shabaz further advances robotic capabilities by optimizing multi-manipulator target acquisition and sorting using deep learning and Open MV vision systems. His research extends into healthcare, where he explores wearable sensor technology and medical robotics for fatigue assessment via electromyography signal processing, and into smart city infrastructure, developing broadcast speech recognition and control systems powered by IoT sensors. Despite a retracted paper on Robotic Process Automation in academia, Shabaz’s core contributions demonstrate a clear commitment to practical, human-centered automation. With a growing citation footprint, his work is shaping how machines learn, perceive, and collaborate with humans in real-world settings—from the farm to the factory floor.
Research Focus
Key Achievements
Top Papers
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