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20072025

Research activity per year

Personal profile

Personal profile

Matteo Rubagotti earned his BSc and MSc in Computer Engineering, as well as his PhD in Electronics, Computer Science, and Electrical Engineering (track in Control Systems) from the University of Pavia, Italy. During his PhD studies, he spent research periods at the Center for Automotive Research at The Ohio State University, USA, and the Automatic Control Laboratory at ETH Zurich, Switzerland. He then held postdoctoral positions at the University of Trento and the IMT Institute for Advanced Studies, both in Italy.

In 2012, he joined Nazarbayev University as an Assistant Professor of Robotics. In 2015, he moved to the University of Leicester, UK, as a Lecturer in Control Engineering before returning to Nazarbayev University in 2018 as an Associate Professor of Robotics. He was promoted to Professor in 2024 after serving as Director of Graduate Studies at the School of Engineering and Digital Sciences from 2022 to 2024. Since 2024, he has been Acting Chair of the Robotics Department.

Dr. Rubagotti is a Senior Member of IEEE, a Fellow of the Higher Education Academy (HEA), and a recipient of the 2024 Control Engineering Practice (Elsevier) Best Paper Award. From 2020 to 2024, he was a Subject Editor for the International Journal of Robust and Nonlinear Control (Wiley), a Q1 journal in the field of control systems. Since 2013, he has also served as an Associate Editor for leading conferences in the field of control systems (CDC, ACC and ECC).

Research interests

His research interests include model predictive control, sliding mode control, and the application of control and optimization algorithms to solve research problems in robotics (variable-impedance-actuated robots, parallel manipulators, tensegrity robots, and physical human-robot interaction).

Teaching

At Nazarbayev University, Dr Rubagotti has been teaching a number of courses at undergraduate and graduate level in the fields of signal processing, applied mechanics, system dynamics, linear control theory, optimal control and robot motion planning.

External positions

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