Ashraf Saleem

Ashraf Saleem

Contact

  • Assistant Professor, Department of Applied Computing (beginning in spring 2021)
  • Ph.D., Mechatronics Engineering, DeMontfort University, UK, 2006
  • M.Sc., Mechatronics Engineering, DeMontfort University, UK, 2003
  • BSc., Electrical Engineering/Computer, Philadelphia University, Jordan, 2000

Biography

Ashraf Saleem received his BSc in Electrical Engineering/Computer from Philadelphia University in 2000. He received his MSc and PhD degrees in Mechatronics Engineering from De Montfort University in 2003 and 2006, respectively. In 2006, he joined the mechatronics engineering department at Philadelphia University in Jordan before moving to Sultan Qaboos University. From 2013-2020, he was with the electrical and computer engineering department at Sultan Qaboos University serving the mechatronics engineering program and developing excellent relations with local industry and the Omani research council (TRC). This allowed him to secure 10 research grants totaling more than 450K USD, and three internal grants with a total of 58K USD.

The common aim of these research projects is to develop vision-based unmanned vehicles to solve real life problems, such as oil spills in seawater. He has published more than 45 peer-reviewed papers in reputable journals and international conferences. Dr. Ashraf is one of the founders of the Embedded & Interconnected Vision Systems” (EIVS) lab at Sultan Qaboos University. The EIVS hosts equipment for Embedded Vision Systems, Artificial Intelligence (UVS / Robotics), and IoT. His research is also focused on developing real-time smart controllers for different engineering systems, such as electromechanical, electro-pneumatic, and piezoelectric based systems.

Teaching Interests

  • Mechatronics system design and integration
  • Modeling and simulation of complex systems
  • Sensors and actuators
  • Hydraulic and pneumatic systems
  • Control system design
  • Instrumentation and measurements
     

Research Interests

  • Autonomous systems
  • Vision-based unmanned vehicles
  • Artificial Intelligence
  • Control of Piezoelectric actuators
  • Servo-pneumatic systems