Assist. Prof. Dr. Ashraf Saleem, Michigan Tech. University, United States
Assist. Prof. Dr. Ashraf Saleem is an accomplished academic and researcher specializing in mechatronics engineering. He holds a Ph.D. and MSc. in Mechatronics Engineering from DeMontfort University, UK, and a BSc. in Electrical and Computer Engineering from Philadelphia University, Jordan. Currently, he is an Assistant Professor in Applied Computing at Michigan Technological University, having previously held academic roles at Sultan Qaboos University, Taibah University, and Philadelphia University. Dr. Saleem’s research interests are centered around the deployment of robotics systems and artificial intelligence in remote sensing, particularly in environmental monitoring and pollution control. He is also passionate about developing real-time smart controllers for electromechanical, electro-pneumatic, and piezoelectric systems. His extensive academic career and research contributions have established him as a key figure in his field. 🤖🌍🔬
Professional Profile
Suitability for Award
Dr. Ashraf Saleem is a strong candidate for the Research for Best Researcher Award due to his outstanding contributions to the fields of robotics, artificial intelligence, and remote sensing. His research focuses on solving critical real-world problems, including environmental pollution monitoring, through the integration of robotics and AI. Dr. Saleem’s work is highly interdisciplinary, blending mechatronics, machine learning, and control systems, making it applicable to a wide range of industries. His leadership in securing significant research funding, including grants such as DataSENSE and MRI, further highlights his ability to drive impactful research. Dr. Saleem’s role as an educator, coupled with his dedication to advancing smart control systems, has earned him recognition in both academic and industry circles. His innovative contributions and dedication to addressing global challenges make him a deserving recipient of this prestigious award. 🏆🤖🌱
Education
Dr. Ashraf Saleem’s educational background is rooted in mechatronics engineering, which he studied at DeMontfort University, UK. He earned his MSc. in Mechatronics Engineering in 2003 and his Ph.D. in the same field in 2006. Prior to that, he completed his BSc. in Electrical and Computer Engineering at Philadelphia University, Jordan, in 2000. His academic training has provided him with a strong foundation in systems engineering, robotics, artificial intelligence, and control systems, which has shaped his research and teaching career. Dr. Saleem’s education has enabled him to explore the integration of robotics with AI for real-world applications such as environmental monitoring, and his expertise in system modeling and control continues to influence his research direction. His academic qualifications, combined with his practical experience, have made him a leader in mechatronics and robotics. 🎓🤖📚
Experience
Dr. Ashraf Saleem has extensive academic experience, currently serving as an Assistant Professor in Applied Computing at Michigan Technological University since 2021. Prior to this, he held the position of Associate Professor in Electrical and Computer Engineering at Sultan Qaboos University, Oman, from 2013 to 2021. He has also worked as an Associate Professor in Mechanical Engineering at Taibah University, Saudi Arabia, and as an Assistant/Associate Professor in Mechatronics Engineering at Philadelphia University, Jordan. Throughout his career, Dr. Saleem has made significant contributions to the development of robotics systems, AI applications, and smart controllers. His teaching and research have been instrumental in advancing mechatronics education and applying innovative technologies in industries such as environmental monitoring and robotics. Additionally, he has secured several research grants, demonstrating his ability to lead high-impact projects. Dr. Saleem’s career reflects his dedication to both academic excellence and practical innovation. 🏫🤖🌍
Awards and Honors
Dr. Ashraf Saleem has received several accolades throughout his career, recognizing his contributions to mechatronics engineering and robotics. He has been awarded multiple research grants, including the prestigious DataSENSE grant, which focuses on data science-enabled sensing for climate adaptation, and the MRI grant for the acquisition of a GPU-accelerated cluster for research and training. These grants highlight his leadership in securing funding for cutting-edge research projects. Dr. Saleem has also been involved in industry partnerships, such as the Whirlpool Refrigerator Door Gasket Verification Fixture project, further emphasizing his ability to bridge academia and industry. His research contributions, particularly in the fields of robotics, AI, and environmental monitoring, have earned him recognition as an influential researcher in his field. Dr. Saleem’s honors reflect his impact on both academia and real-world applications. 🏅🎖️🌍
Research Focus
Dr. Ashraf Saleem’s research is centered around the deployment of robotics systems and artificial intelligence in the field of remote sensing. His work addresses significant real-world challenges, such as environmental pollution monitoring, by integrating robotics and AI to create innovative solutions. Dr. Saleem is also focused on the development of real-time smart controllers for various engineering systems, including electromechanical, electro-pneumatic, and piezoelectric-based systems. His research in machine learning, system modeling, and control is aimed at improving the efficiency and effectiveness of these systems in practical applications. Additionally, Dr. Saleem is passionate about UAV control and its potential to enhance remote sensing capabilities. His interdisciplinary approach combines robotics, AI, and control theory to tackle complex environmental and engineering problems. Through his work, Dr. Saleem is advancing the field of mechatronics and contributing to the development of sustainable technologies. 🤖🌱💡
Publication Top Notes
-
Title: Identification and Cascade Control of Servo-Pneumatic System Using Particle Swarm Optimization
-
Title: Hardware-in-the-loop for On-line Identification and Control of Three-phase Squirrel Cage Induction Motors
-
Title: On-line Identification and Control of Pneumatic Servo Drives via a Mixed-Reality Environment
-
Title: Enhanced Adaptive Control for a Benchmark Piezoelectric‐Actuated System via Fuzzy Approximation
-
Title: Mixed-Reality Environment for Frictional Parameters Identification in Servo-Pneumatic System