Papers
3
Total Citations
20
H-Index
3
About
A.S. Pandya’s research bridges the transformative power of artificial intelligence with critical challenges in both healthcare and robotics. His work is centered on two key areas: the application of machine learning for the detection and prediction of neuropsychological disorders, and the development of intelligent neural network controllers for autonomous systems. In his highly cited 2023 comprehensive review, Pandya systematically evaluated machine learning algorithms for diagnosing conditions like dementia, epilepsy, and autism, providing a crucial roadmap for leveraging AI to improve patient outcomes and quality of life. This work, which has already garnered 11 citations, highlights his significant contribution to computational neuroscience. Earlier in his career, Pandya pioneered vision-based neural network guidance systems for autonomous vehicles and robot arm manipulators, demonstrating how adaptive, video-driven controllers could outperform traditional, non-adaptive methods. His 1994 paper on a neural network guidance system remains a foundational reference in the field. Through this dual focus on medical AI and intelligent robotics, Pandya has established himself as a versatile researcher whose work impacts both clinical diagnostics and autonomous control technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Vision‐based path following by using a neural network Guidance System5 citations · 1994
- 3Neural networks as robot arm manipulator controller4 citations · 2002