Mahsa Mohaghegh

Papers

Total Citations

H-Index

About

Dr. Mahsa Mohaghegh is a leading researcher in autonomous systems, specializing in geometric optimal navigation and path planning for mobile robots operating in dynamic environments. Her work bridges the gap between theoretical geometry, optimization algorithms, and practical machine learning, addressing the critical need for safe, smooth, and efficient robotic movement. Dr. Mohaghegh’s major contributions include the development of a novel optimal predictive neuro-navigator, which enables real-time near-optimal navigation while avoiding moving obstacles—a foundational paper with 12 citations. She further advanced the field with a smooth PSO-IPF navigator that incorporates kinematic constraints, minimizing jerky movements to enhance stability and performance. Her recent work on geometrical optimal navigation systematically unifies theory, algorithms, and applications for autonomous systems ranging from self-driving cars to surgical robots and space rovers. With a growing citation impact and a focus on bridging fundamental research with real-world deployment, Dr. Mohaghegh is establishing herself as a key innovator in next-generation autonomous navigation, ensuring robots can navigate complex, unpredictable environments with unprecedented reliability and grace.