Tom Oomen
Tom Oomen 

Tom Oomen

Control Systems Technology
Department of Mechanical Engineering
Eindhoven University of Technology
Office: Building 15, Gemini-Zuid, room 0.119

Delft Center for Systems and Control (DCSC)
Faculty of 3mE
Delft University of Technology
Office: 34-C2-270

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  • Inaugural lecture on March 14, 16.00 at Eindhoven University of Technology. The lecture is public and anyone is free to attend. The booklet will become available soon!

  • Plenary talk at the 14th UKACC International Conference on Control, Winchester, April 10-12, 2024

  • Plenary presentation at the 23rd International Conference on Control, Automation, and Systems (ICCAS 2023), in Yeosu, Korea, October 20, 2023

  • Nic Dirkx will defend his PhD thesis on October 6, 2023!

  • Overview of our research on fault detection, isolation, predictive maintenance, and control reconfiguration, see movie

  • Tom Bloemers will defend his PhD thesis on March 18!

  • Noud Mooren will defend his thesis on May 12, 2022!

  • Nard Strijbosch will defend his PhD thesis on March 18!

Old news


My team and I develop methods to control real machines to the limits of performance by learning from data. Based in the high-tech hotspot Eindhoven, our key application domain involves the development of advanced motion control solutions for precision mechatronics. Driven by the challenges occurring in future precision mechatronics, our research focusses on fundamental issues arising in learning to control complex dynamical systems from data with robustness guarantees. As such, it is primarily positioned in the field of system identification and control, intersecting with machine learning, artificial intelligence, and mechatronics. Applications are broadly addressed through collaborations with many companies and institutions in mechatronics, ranging from semiconductor equipment and printing to space and astronomy. In addition, we enjoy many fruitful collaborations with domain experts in the health, energy, and mobility areas.

More information: “Learning in Machines” video, “Learning in Machines” magazine article, Advanced Motion Control research article, Fault detection/predictive maintenance movie, an impression of our post-academic course on motion control tuning.


Tom Oomen is full professor with the Department of Mechanical Engineering at the Eindhoven University of Technology. He is also a part-time full professor with the Delft University of Technology. He received the M.Sc. degree (cum laude) and Ph.D. degree from the Eindhoven University of Technology, Eindhoven, The Netherlands. He held visiting positions at KTH, Stockholm, Sweden, and at The University of Newcastle, Australia. He is a recipient of the 7th Grand Nagamori Award, the Corus Young Talent Graduation Award, the IFAC 2019 TC 4.2 Mechatronics Young Research Award, the 2015 IEEE Transactions on Control Systems Technology Outstanding Paper Award, the 2017 IFAC Mechatronics Best Paper Award, the 2019 IEEJ Journal of Industry Applications Best Paper Award, and recipient of a Veni and Vidi personal grant. He is currently a Senior Editor of IEEE Control Systems Letters (L-CSS) and Co-Editor-in-Chief of IFAC Mechatronics, and he has served on the editorial board of IEEE Transactions on Control Systems Technology. He has also been vice-chair for IFAC TC 4.2 and a member of the Eindhoven Young Academy of Engineering. His research interests are in the field of data-driven modeling, learning, and control, with applications in precision mechatronics.

For a more detailed CV see detailed CV or email me for an even more detailed one.


Tel: +31 40 247 8332
Email: T.A.E.Oomen (at)

Postal address:
Prof. dr. ir. Tom Oomen
Eindhoven University of Technology
Department of Mechanical Engineering
Control Systems Technology Group
PO Box 513, Building 15, Gemini-Zuid (room 0.119)
5600 MB Eindhoven, The Netherlands

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