Vahab Khoshdel

Vahab Khoshdel is an Assistant Professor in the Department of Electrical and Computer Engineering at the Price Faculty of Engineering, University of Manitoba. His research bridges machine learning, deep learning, computer vision, robotics, and medical imaging, with applications in rehabilitation robotics, microwave/ultrasound imaging, stored grain monitoring, and precision agriculture.

Education:

• 2021, Ph.D. Biomedical Engineering, University of Manitoba
• 2017, Ph.D. Mechanical Engineering, Ferdowsi University of Mashhad
• 2013, M.Sc. Mechatronic Engineering, University of Shahrood
• 2011, B.Sc. Robotics Engineering, University of Shahrood

Research Interests: Khoshdel specializes in applying generative AI, neural networks, and optimization techniques to medical imaging and robotics. His work includes microwave/ultrasound breast imaging, impedance control for rehabilitation robots, and AI-driven agricultural monitoring systems.

Publication Trends: His recent articles emphasize machine learning workflows for medical diagnostics, deep learning in multimodal imaging, and neural networks in rehabilitation robotics. Key subfields include 3D imaging, inverse scattering, tissue classification, and sEMG signal analysis.

Contact: Vahab.Khoshdel@umanitoba.ca