Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award 

Dr. Mojtaba Ahmadieh khanesar | Metrology | University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham. He holds a Ph.D. in Control Engineering from K. N. Toosi University of Technology and has extensive experience in metrology, robotics, control systems, artificial intelligence, and machine learning. Throughout his career, Dr. Khanesar has contributed to internationally recognized projects funded by EPSRC, including Robodome imaging for high-performance aerostructures, HARISOM for precise industrial robot manipulation, and Chattyfactories for next-generation industrial systems, demonstrating proficiency in experimental design, data acquisition, and real-time control using advanced robotics platforms such as UR5, Baxter, Sawyer, and laser tracking systems. He has also supervised Ph.D. and undergraduate students, providing mentorship in control, robotics, and machine learning projects, and delivered lectures on Bayesian learning and reinforcement learning at the University of Nottingham. Dr. Khanesar has held research and teaching positions across Denmark, Turkey, Iran, and the United Kingdom, reflecting his global research engagement and collaborative approach. His research has been widely published, with 112 documents, 2,377 citations, and an h-index of 25, including publications in high-impact journals such as IEEE Transactions, Robotics, Mechanism and Machine Theory, and Sensors. His professional affiliations include SMIEEE, MIET, and MASME, highlighting his recognized standing in international technical communities.