Ashraf Saleem

Ashraf I. Saleem


Robotics & Remote Sensing Lab. (RRSL)

  • Assistant Professor, Applied Computing
  • Affiliated Faculty, Computational Science & Engineering
  • Ph.D., Mechatronics Engineering, DeMontfort University, UK, 2006
  • MSc., Mechatronics Engineering, DeMontfort University, UK, 2003
  • BSc., Electrical and Computer Engineering, Philadelphia University, Jordan, 2000


Dr. Ashraf received his Ph.D. and MSc. degrees in mechatronics engineering from DeMontfort University, UK, in 2006 and 2003, respectively, and his BSc. in electrical and computer engineering from Philadelphia University, Jordan, in 2000.

Dr. Saleem is leading the Robotics and Remote Sensing Lab (RRSL) at MTU focusing on the application of robotics systems and artificial intelligence in the field of remote sensing. With extensive experience in this domain, his research is primarily focused on addressing practical challenges, such as the detection of oil spills in the ocean, through the utilization of machine learning techniques and drone imagery. During his tenure at Sultan Qaboos University, Dr. Saleem successfully led several projects centered around the use of unmanned aerial vehicles (UAVs) for identifying oil spills in marine environments. Building upon this expertise, he is now leading a new initiative that involves designing experiments for acquiring metadata from UAVs/ROVs using remote sensing devices and applying cutting-edge machine learning algorithms for detecting invasive plants in freshwater.  He has authored/co-authored over 65 publications and has been funded by several governmental agencies during his tenure at SQU, Oman.

Teaching Interests

  • Data Acquisition and Signal Processing
  • Senior Design
  • Mechatronics system design and integration
  • Modeling and simulation of complex systems
  • Sensors and actuators
  • Hydraulic and pneumatic systems
  • Control system design
  • Instrumentation and measurements

Links of Interest

Robotics & Remote Sensing Lab (RRSL)

Research Interests

  • UAV-based Remote Sensing 

  • Drone-based oil spill detection in Ocean
  • Artificial Intelligence Applications in Remote Sensing

  • Computer Vision and AI

  • Data acquisition and real-time control
  • Robotics system design and Integration

  • Control of Pneumatic Systems