Dr. Ali Ghanbari, University of Central Lancashire, United Kingdom
Dr. Ali Ghanbari is a distinguished Lecturer in Mechanical Engineering at the University of Central Lancashire (UCLan), UK, where he leads courses and research in robotics, microrobotic control for biomedical applications, and soft robotics 🤖. With a Ph.D. from Amirkabir University of Technology (AUT) in Tehran, Dr. Ghanbari’s dissertation focused on the modeling and motion analysis of microrobots for biomedical use. His extensive academic career includes over a decade of teaching and research experience across four countries, including the UK, Iran, South Korea, and Switzerland 🌍. He has published 15 journal papers in high-impact journals and has secured substantial research funding. Dr. Ghanbari’s research interests cover micro/nanorobotics, dynamics, biomedical applications, and swarm control, with a particular focus on advancing microrobotic technologies for medical applications 🦠. His postdoctoral work at institutions such as ETH Zurich and DGIST, South Korea, further highlights his expertise in dynamic modeling, magnetic actuation, and the development of innovative microrobotic systems.
Professional Profile:
Summary of Suitability for Best Researcher Award
Ali Ghanbari’s research is centered on advanced topics such as robotics, microrobotic control for biomedical applications, dynamics and control, and soft robotics. His work in these cutting-edge areas demonstrates significant contributions to the field.
Education:
- Ph.D. in Mechanical Engineering
Amirkabir University of Technology – Tehran Polytechnic (AUT)
September 2005 – March 2011
Dissertation: Modeling and motion analysis of a novel swimming microrobot for biomedical applications
- M.Sc. in Mechanical Engineering
Amirkabir University of Technology (AUT)
September 2002 – April 2005
Thesis: Design of an in-plane bistable compliant micromechanism with consideration of pin joint clearance and link length tolerances
- B.Sc. in Mechanical Engineering
Amirkabir University of Technology (AUT)
September 1997 – September 2002
Thesis: Design and fabrication of the wiper system (mechanism, blades, and arms) of the SEPAND PK car
Work Experience:
- Lecturer, School of Engineering and Computing
University of Central Lancashire (UCLan), UK
July 2020 – Present
- Module Leader and Instructor for Mechanical Engineering Systems (MP3395), Further Engineering Mathematics and Simulation (SC2153)
- Instructor & Tutor for Advanced Engineering Systems (MP4583), Engineering Analysis (ER1010), Engineering Design (ER1020)
- Module Leader and Tutor for Applied Instrumentation (ER4706), Sensors, Instrumentation & Control (MP4706), Mechatronics (ER3200)
- Supervisor for Research Methods (EL4166), Mini Projects (12 students)
- Supervisor of B.Sc. (MP3995) and M.Sc. student projects (EL4895) (20 students)
- Course Leader for Mechatronics MSc Course
- EASE (Entrepreneurship and Start-up for Engineers) Program Leader in Mechanical Area
- Steering Committee of Institute of Engineering, Innovation and Technology
- Research Fellow, Surgical Technologies Lab
School of Mechanical Engineering, University of Leeds, UK
June 2019 – June 2020
- Research on soft robotics and soft sensors for medical applications
- Research on soft capacitive sensors
- Performing animal experiments to develop a soft catheter
- Collaboration with NIHR Global Health Research Group and NHS
- Instructor for Biomechatronics Module (MECH5605M)
- Mentoring M.Sc. and Ph.D. students
Publication top Notes:
Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization Algorithm (DHHO) and Encoder Modeling
Adjustable Compliance Soft Sensor via an Elastically Inflatable Fluidic Dome
Bioinspired reorientation strategies for application in micro/nanorobotic control
Design and Evaluation of Magnetic Hall Effect Tactile Sensors for Use in Sensorized Splints
Electromagnetic Steering of a Magnetic Cylindrical Microrobot Using Optical Feedback Closed-Loop Control
Magnetic actuation of a cylindrical microrobot using time-delay-estimation closed-loop control: modeling and experiments