Papers
11
Total Citations
1,307
H-Index
8
About
Manan Shah is a multidisciplinary researcher whose work bridges artificial intelligence, smart agriculture, robotics, and neurological disorder detection. He is perhaps best known for his influential contributions to AI-driven agricultural innovation, most notably his 2020 paper on implementing artificial intelligence to optimize irrigation and pesticide application, which has garnered an impressive 868 citations and stands as a landmark reference in the field. His comprehensive review on artificial cognition for smart agriculture applications further cemented his authority in this domain, accumulating over 200 citations. Beyond agriculture, Shah has made meaningful contributions to biomedical AI, exploring machine learning approaches for diagnosing Alzheimer's disease and detecting neuropsychological disorders across a range of conditions including epilepsy, autism, and brain cancer. His work extends into cutting-edge robotics, encompassing origami-inspired locomotion systems, rehabilitative exoskeletons for neurological patients, and continuum robotics for brain surgery. More recently, he has examined Industry 4.0 applications in pharmaceutical development. Shah's research portfolio reflects a rare breadth of vision, consistently applying intelligent systems to real-world challenges in healthcare, agriculture, and advanced engineering.
Research Focus
Key Achievements
Top Papers
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- 4The design and control of the multi-modal locomotion origami robot, Tribot55 citations · 2015
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- 7Rehabilitative Soft Exoskeleton for Rodents20 citations · 2016
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