M. Arif Wani

Papers

Total Citations

H-Index

About

Dr. M. Arif Wani is a leading researcher in artificial intelligence and robotics, with a primary focus on autonomous systems and deep learning applications. His work addresses critical challenges in robot navigation, particularly through innovative fuzzy logic-based approaches for path planning that help autonomous robots avoid local minima—a persistent problem in dynamic environments. His most cited paper, "A fuzzy based local minima avoidance path planning in autonomous robots" (2020, 30 citations), demonstrates his ability to bridge theoretical AI concepts with practical robotic systems. Dr. Wani has also made significant contributions to the field through his editorial work on "Deep Learning Applications, Volume 2" (2020, 9 citations) and "Trends in Deep Learning Applications" (2020, 7 citations), which have helped shape contemporary understanding of deep learning's real-world impact. His research is particularly valuable for students and engineers working on intelligent robotics, offering robust solutions for navigation in complex, uncertain environments. Dr. Wani's work continues to influence both academic research and industrial applications in autonomous systems.