Vahid Azimirad

Dr Vahid Azimirad has been involved with teaching and research activities in the robotics field since 2005. He received his BSc in Mechanical Engineering from the University of Tabriz, Iran in 2004 and earned his MSc and PhD degrees in mechanical engineering at the Iran University of Science and Technology in 2006 and 2010, respectively. Dr Azimirad’s main areas of expertise are in robotics (mathematical modelling, control, planning, test and learning), designing and building medical robots (surgical and physiotherapist), designing and building assistive mobile robots and developing spiking neural networks for application in control and learning of robots. Dr Azimirad has published more than 60 papers about robotics in peer-reviewed journals and conference proceedings. His h-index is 16 with over 900 citations.

Vahid Azimirad has extensive research experience in the areas of AI, Robotics and mechatronics in medical applications. His current research work is developing reinforcement learning systems based on spiking neural networks for control of robots. Other funded collaborations have developed physiotherapist robots and assistive mobile robots for medical applications.

Dr Azimirad has several years of experience teaching undergraduate and postgraduate modules and mentoring under/postgraduate students in robotics and mechatronics.

His current teaching responsibilities include:

EEN6460, Robotics and Artificial Intelligence (Stage 3, Module Convener)

EENG5170, Control and Mechatronics (Stage 2)

Dr Azimirad has supervised three PhD students to successful completion.

Selected past PhD projects:

Application of spiking neural networks for control of robots
A nonlinear control method for surgical robots based on EEG signals