Dr Mubasher Saleem

About

Education
Dr. Mubasher Saleem's academic journey began with a B.S. degree in Electrical Engineering from the University of Engineering & Technology (UET), Lahore, Pakistan, in 2008. He then completed a Master's degree in Electronic Engineering from the GIK Institute of Engineering Sciences & Technology, Pakistan completing it in 2010. His academic pursuits culminated in a Ph.D. in Mechanics from the Polytechnic University of Turin, Italy, in 2015. His multidisciplinary educational background has equipped him to conduct research across various interdisciplinary fields, fostering innovation and collaboration in engineering and technology.
Professional Experience
Dr. Saleem has over ten years of experience in teaching and research within electronics and mechatronics engineering, having served as both Assistant Professor and Tenured Associate Professor at the National University of Sciences and Technology (NUST) in Pakistan. He has also worked as a  senior postdoctoral fellow at the International Iberian Nanotechnology Laboratory in Portugal, where he developed multifunctional microchip-based sensors for autonomous vehicles in collaboration with industry Robert Bosch. He has successfully developed and taught a range of undergraduate and postgraduate modules and have supervised Master’s and PhD candidates in research areas such as micro/nanotechnology-based sensors, nanoelectronics for self-powered sensing, soft robotics, robotic system design, and micro/mesoscale tactile force sensors for robotic surgery. Dr. Saleem has secured nearly USD 0.75 Million in research funding as both Principal Investigator and Co-Principal Investigator, demonstrating his ability to attract substantial financial support for innovative projects. He received a prestigious collaborative research grant from the British Council UK for developing micro/nanoscale tactile sensors for robotic ophthalmic surgery in partnership with the Scottish Microelectronics Centre at The University of Edinburgh, UK. His contributions have been recognized through various awards, highlighting his impact in academia, and as an active member of professional organizations such as IEEE and ASME, he remains committed to ongoing professional development and excellence in teaching and research.
Current Research Interests

  • Micro/nanotechnology-based sensors and devices
  • Smart surgical tools with haptic feedback for MIRS
  • Bio-inspired physical reservoir computing
  • Statistical and deep learning-based optimization for Multiphysics MEMS/NEMS devices
  • Assistive robotics