“Data-driven models are abundant, but how to generate simple, accurate, and reliable ones is the key to engineering applications.”

The development and operation of engineering systems require compact and high-fidelity mathematical models. My research focuses on the development of novel methods that construct such models from experimental data and reduce their complexity while ensuring their robustness.

Fahim Shakib was born in Herat, Afghanistan, in 1992. He received his M.Sc. degree (cum laude) in Mechanical Engineering from the Eindhoven University of Technology, Eindhoven, the Netherlands in 2017, where he also received his Ph.D. degree (cum laude) in 2022 for his Ph.D. thesis entitled ‘Data-driven modeling and complexity reduction for nonlinear systems with stability guarantees’. In 2023, he joined the Control and Power Group, Imperial College London, UK, as a Research Associate. His research interests include identification, model reduction, and control of nonlinear systems.