Fahim Shakib

Fahim Shakib serves as Assistant Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), specializing in Dynamics and Control and Autonomous and Complex Systems. His research centers on developing compact, high-fidelity mathematical models from experimental data with emphasis on robustness and complexity reduction for engineering applications.

• M.Sc. in Mechanical Engineering (cum laude), Eindhoven University of Technology, 2017
• Ph.D. in Mechanical Engineering (cum laude), Eindhoven University of Technology, 2022

Dr. Shakib’s work bridges data-driven modeling and practical engineering, focusing on nonlinear system identification, model reduction, and control theory. His fingerprint reveals expertise in Directional Drilling, Borehole systems, Time Domain analysis, and Linear Time Invariant frameworks, with applications spanning industrial machinery to electro-active materials. He prioritizes generating simple, accurate, and reliable models that maintain stability guarantees in real-world implementations.

Recent publications (2024-2025) demonstrate a convergence of machine learning with classical control theory, particularly through neural ODEs for steady-state optimization and state augmentation techniques for model updating. Key application domains include liquid crystal polymer networks and industrial wire bonding systems, addressing challenges in stability, efficiency, and industrial scalability.

Scientific Contributions:

• TKI "Learning in Motion" project member (2021-2027) focusing on motion system control
• 100+ citations across 23 research outputs including journal articles and conference proceedings
• Supervised 2 students as indicated in institutional records

He maintains active affiliations with both the Dynamics and Control group and Autonomous and Complex Systems group at TU/e, building on prior experience as a Research Associate in Imperial College London’s Control and Power Group (2023).