AHMAD BALA ALHASSAN received a B.Eng. degree in electrical engineering from Bayero University, Kano, Nigeria, in 2011, an M.Eng. degree in mechatronics and automatic control from the University of Technology Malaysia (UTM) in 2016, and a Ph.D. degree in mechanical engineering from Xi'an Jiaotong University, China, in 2022. He is currently a Postdoctoral Scholar in the Department of Robotics and Mechatronics at Nazarbayev University, Kazakhstan.
His research interests include modeling, simulation, and control of mechatronic systems. He has authored or co-authored many research articles and international conference papers on dynamic analysis and control of crane systems, rehabilitation robots, elderly-assistant robots, power transmission line inspection robots, and wind energy conversion systems. He was a keynote speaker at ICIST 2023 in Lanzhou, China, and serves as a reviewer for IEEE Access, Journal of Mechanical Science and Technology, and Robotics and Autonomous Systems. He is a Member of IEEE, including IEEE Young Professionals, IEEE Control Systems Society, and IEEE Industrial Electronics Society.
Azamat Mukhatov obtained his Bachelor's and Master's degrees in Electrical and Electronics Engineering from Nazarbayev University, Nur-Sultan, Kazakhstan, in 2017 and 2019, respectively. He then earned his PhD in Robotics Engineering in 2024.
During his Master's studies, he worked as a Research Assistant at National Laboratory Astana on "Dynamic Wireless Charging of Electric Vehicles." His PhD thesis focused on "Effects of Scanning Trajectory and Parameters on Image Qualities of Magnetic Particle Imaging." Currently, he is a Postdoctoral Researcher in the PCMC Laboratory under the supervision of Professor Ton Duc Do, working on developing a Magnetic Particle Imaging system. His research interests include renewable energy conversion systems, power electronics, wireless charging, biomedical engineering, and medical imaging techniques.