Papers

9

Total Citations

118

H-Index

7

About

Seyed Hanif Mahboobi is a robotics and computational researcher whose work spans mobile robotics, evolutionary optimization, and nanoscale manipulation. He is perhaps best recognized for his contributions to intelligent control systems, particularly the application of evolutionary algorithms — including Differential Evolution and Genetic Algorithms — to optimize fuzzy logic controllers for mobile robot trajectory tracking, work that has garnered over 40 citations across multiple publications. His early career focused on the mechanical design and dynamic modeling of complex wheeled mobile robots, most notably the CEDRA rescue robot, a six-wheeled system engineered for operation in unstructured and hazardous environments, demonstrating his ability to bridge theoretical modeling with real-world fabrication challenges. Mahboobi employed Kane's method to address the intricate multi-body dynamics of rovers on uneven terrain, producing formulations that remain relevant to field robotics. In later years, he expanded his research into the emerging domain of nano-robotics, investigating the manipulation of biomolecules using molecular dynamics simulations, including studies of bio-manipulation in aqueous media. With a cumulative citation count exceeding 115 across his most recognized works, Mahboobi's research reflects a distinctive trajectory from macroscale autonomous systems to nanoscale biological interaction.

Research Focus

Key Achievements

7
H-Index
9
Papers
118
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Optimum synthesis of fuzzy logic controller for trajectory tracking by differential evolution
28 citations · 2011
📈 Most Prolific Year: 2005 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Sharif University of Technology, University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago