dr. M. Poel (Mannes)

Associate Professor


Engineering & Materials Science
Brain Computer Interface
Machine Learning
Mobile Robots
Reinforcement Learning
Medicine & Life Sciences
Deep Learning
Machine Learning


Schulte, R. V. (2022). Up to one's knees in data: Data-driven intent recognition using electromyography for the lower limb. [PhD Thesis - Research external, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554862
Verma, D., Jansen, D., Bach, K. , Poel, M., Mork, P. J. , & d'Hollosy, W. (2022). Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes. BMC medical informatics and decision making, 22, Article 227. Advance online publication. https://doi.org/10.1186/s12911-022-01973-9
Botteghi, N., Grefte, L. , Poel, M. , Sirmacek, B. , Brune, C. , Dertien, E. , & Stramigioli, S. (2022). Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning. In J. Kim, B. Englot, H-W. Park, H-L. Choi, H. Myung, J. Kim, & J-H. Kim (Eds.), Robot Intelligence Technology and Applications 6 - Results from the 9th International Conference on Robot Intelligence Technology and Applications (pp. 259-271). (Lecture Notes in Networks and Systems; Vol. 429 LNNS). Springer. https://doi.org/10.1007/978-3-030-97672-9_23
Botteghi, N. , Sirmacek, B. , Poel, M. , Brune, C., & Schulte, R. (2021). CURIOSITY-DRIVEN REINFORCEMENT LEARNING AGENT for MAPPING UNKNOWN INDOOR ENVIRONMENTS. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5(1), 129-136. https://doi.org/10.5194/isprs-annals-V-1-2021-129-2021
Botteghi, N., Alaa, K. , Poel, M. , Sirma├žek, B. , Brune, C., Mersha, A. , & Stramigioli, S. (2021). Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021 (pp. 190-197). (IEEE International Conference on Intelligent Robots and Systems). IEEE. https://doi.org/10.1109/IROS51168.2021.9635936

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My main educational topics are Artificial Intelligence, Machine Learning and Brain Computer Interfaces.

Affiliated Study Programmes


Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4102
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4102
P.O. Box 217
7500 AE Enschede
The Netherlands