Seifollah Gholampour

Islamic Azad University North Tehran Branch, University of Chicago

Papers

Total Citations

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About

Seifollah Gholampour is a researcher at the forefront of biomechanical engineering and medical robotics, with a focused expertise in optimizing surgical tool–tissue interactions. His work critically addresses the challenges of precision and safety in orthopedic and neurosurgical procedures, particularly in bone drilling and skull base grinding. Gholampour’s most cited paper, “Finding the optimal drill bit material and proper drilling condition for utilization in the programming of robot-assisted drilling of bone” (2020, 22 citations), provides foundational insights for enhancing robotic surgical accuracy by identifying ideal drill parameters to minimize thermal and mechanical damage. His subsequent study on skull base grinding (2022, 6 citations) further refines operating variables to improve surgical performance in delicate cranial procedures. Beyond medical applications, Gholampour has contributed to educational robotics with a conceptual design algorithm for a two-wheeled inverted pendulum mobile robot (2019), addressing the pedagogical challenge of teaching unstable system dynamics. His interdisciplinary work bridges engineering, medicine, and education, demonstrating a commitment to advancing both practical surgical outcomes and foundational robotics training. With a growing citation impact, Gholampour’s research is shaping safer, more efficient robotic-assisted surgeries and inspiring the next generation of engineers.