Shahid Ahmad Bhat
Papers
1
Total Citations
33
H-Index
1
About
Shahid Ahmad Bhat is a leading computational mathematician whose work bridges artificial intelligence, robotics, and epidemiology. His research focuses on developing advanced stochastic numerical methods, particularly through Gudermannian neural networks (GDMNNs), to solve complex real-world problems. His most cited work, a 2023 study with 33 citations, introduces a reliable stochastic computational procedure for modeling robotic systems during the coronavirus pandemic. By integrating global search genetic algorithms with rapid interior-point schemes, Bhat’s approach offers unprecedented accuracy in simulating robotic dynamics under epidemiological constraints. This contribution not only advances the field of mathematical robotics but also demonstrates the power of hybrid AI-driven optimization in crisis response. Bhat’s work is widely recognized for its practical impact, providing scalable solutions for autonomous systems in healthcare and disaster management. His research continues to inspire interdisciplinary applications, making him a notable figure in computational intelligence and applied mathematics.
Research Focus
Key Achievements
Top Papers
- 1