Expertise
Engineering & Materials Science
# Brain Computer Interface
# Machine Learning
# Mobile Robots
# Navigation
# Reinforcement Learning
# Robots
Medicine & Life Sciences
# Deep Learning
# Machine Learning
Organisations
Publications
Recent
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
Schulte, R. V.
, Prinsen, E. C.
, Buurke, J. H.
, & Poel, M. (2022).
Adaptive Lower Limb Pattern Recognition for Multi-Day Control.
Sensors,
22(17), [6351].
https://doi.org/10.3390/s22176351
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, [227].
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
de With, L. A.
, Thammasan, N.
, & Poel, M. (2022).
Detecting Fear of Heights Response to a Virtual Reality Environment Using Functional Near-Infrared Spectroscopy.
Frontiers in Computer Science,
3, [652550].
https://doi.org/10.3389/fcomp.2021.652550
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.
, Sirmaçek, 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
Botteghi, N. (2021).
Robotics deep reinforcement learning with loose prior knowledge. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente.
https://doi.org/10.3990/1.9789036552165
UT Research Information System
Google Scholar Link
Education
My main educational topics are Artificial Intelligence, Machine Learning and Brain Computer Interfaces.
Affiliated Study Programmes
Master
Courses Academic Year 2022/2023
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 2021/2022
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
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4102
P.O. Box 217
7500 AE Enschede
The Netherlands