Shengling Shi

Faculty

Shengling Shi

Assistant Professor

I am an Assistant Professor at the Delft Center for Systems and Control, TU Delft. Before joining the faculty, I was a postdoctoral associate at MIT and a postdoctoral researcher at TU Delft. I received my PhD in 2021, advised by Prof. Paul M. J. van den Hof, and my MSc with distinction in 2017, both from the Control Systems Group at Eindhoven University of Technology. During my master's studies, I completed a research internship at ETH Zurich. I obtained my bachelor's degree from Harbin Institute of Technology. I have served as an associate editor for the IFAC World Congress and the IFAC Symposium on System Identification. I am also a member of the IFAC Technical Committee on Modelling, Identification and Signal Processing.

PhD researchers

Kelvin Toonen

PhD student · TU Delft

AI and control for human digital twins

MSc and BSc, Eindhoven University of Technology

Changrui Liu

PhD student · TU Delft

Learning-based control with performance guarantees

MSc, TU Delft · BSc, Harbin Institute of Technology

Co-advised with Prof. Bart De Schutter

Menno van Laarhoven

PhD student · TU Delft

Identification and control of biological systems

MSc and BSc, TU Delft

Co-advised with Prof. Carlas Smith

Master’s students

Freya van Apeldoorn

MSc student · TU Delft

BSc in Aerospace Engineering, TU Delft; minor in Computer Science

Yannick ten Dam

MSc student · TU Delft

BSc, TU Delft

Alex Harris

MSc student · TU Delft

BSc, University of Utah

Bachelor’s students

Felice Özata

Bachelor student · TU Delft

Tendon-driven robotic hand for manipulation

Demi Lin

Bachelor student · TU Delft

Tendon-driven robotic hand for manipulation

Thijs de Bakker

Bachelor student · TU Delft

Tendon-driven robotic hand for manipulation

Bas Blauwhoff

Bachelor student · TU Delft

Tendon-driven robotic hand for manipulation

Alumni

Luuk van der Wiel, Martijn Boonen, Louis Verbeke, Baptiste Gallé

Teleoperation of a Tendon-Driven Robotic Hand: A Comparative Study

Lars Priester, Annewieke van Beek, Sven van Schagen, Friso Kroes, Friso Holleman

Combining Vision-Based Motion Capture and Reinforcement Learning for Joint Torque Estimation

Co-advised with Kelvin Toonen

Marco Delgado Schwartz

Topology optimization for co-design

Co-advised with Dr. Peyman Mohajerin Esfahani and Dr. Steven Wilkins

Next position: Engineer, Pon Power

Dana de Vreede

Online expectation-maximization algorithm for Bayesian system identification

Job Meijer

Topology identification of linear dynamic networks with singular noises