Dr. Waleed Faris is a multidisciplinary engineering scholar and academic leader with extensive expertise spanning nonlinear dynamics, vehicle engineering, MEMS/NEMS systems, and artificial intelligence–driven intelligent systems. With a Ph.D. from Virginia Tech and decades of international academic and research experience, he has advanced the integration of classical mechanical engineering with modern computational intelligence, bridging physical modeling with data-driven and AI-based approaches.
His research contributions lie at the intersection of multi-physics modeling, control engineering, and intelligent systems. He has led pioneering work in structural dynamics, vibration analysis, and vehicle systems, particularly in active suspension design, autonomous systems, and intelligent control strategies using techniques such as neural networks, fuzzy logic, and optimization algorithms. His work extends to emerging applications of AI in engineering, including portable medical devices, robotics, and smart systems, demonstrating a strong focus on real-world, interdisciplinary problem-solving.
Dr. Faris is a prolific author of books and peer-reviewed journal articles that contribute to both engineering research and education. His publications cover system modeling, control systems, fluid mechanics, machine design, and engineering ethics, alongside advanced topics in intelligent and adaptive systems. His recent book on system modelling and simulation highlights his leadership.
Dr. Waleed Faris is a multidisciplinary engineering scholar and academic leader with extensive expertise spanning nonlinear dynamics, vehicle engineering, MEMS/NEMS systems, and artificial intelligence–driven intelligent systems. With a Ph.D. from Virginia Tech and decades of international academic and research experience, he has advanced the integration of classical mechanical engineering with modern computational intelligence, bridging physical modeling with data-driven and AI-based approaches.
His research contributions lie at the intersection of multi-physics modeling, control engineering, and intelligent systems. He has led pioneering work in structural dynamics, vibration analysis, and vehicle systems, particularly in active suspension design, autonomous systems, and intelligent control strategies using techniques such as neural networks, fuzzy logic, and optimization algorithms. His work extends to emerging applications of AI in engineering, including portable medical devices, robotics, and smart systems, demonstrating a strong focus on real-world, interdisciplinary problem-solving.
Dr. Faris is a prolific author of books and peer-reviewed journal articles that contribute to both engineering research and education. His publications cover system modeling, control systems, fluid mechanics, machine design, and engineering ethics, alongside advanced topics in intelligent and adaptive systems. His recent book on system modelling and simulation highlights his leadership.