Overview Research Education Contact
I am currently the head of the Pervasive Systems Research Group at the University of Twente. Formerly, I worked as a faculty member at Boğaziçi University and Galatasaray University. I received my PhD in computer science from the University of Twente.
For further information, please check my external web page:
https://ozlemdurmazincel.github.io/
Expertise Computer Science Human Activity Recognition Activity Recognition Online Activity Recognition Performance Mobile Device Deep Learning Method Machine Learning Technique Collected Data Organisations My objective is to utilize sensing technologies available on the Internet of Things, mobile and wearable devices, and machine learning techniques to build context-aware, intelligent and resource-efficient systems that ease people’s lives across different areas: well-being, health, assistive living, industrial applications, and smart cities. My research interests are applied machine learning, human activity and well-being recognition, edge AI in the fields of wearable and ubiquitous computing, the Internet of things, and protocol design for resource efficiency in wireless networks.
Publications Where WiFi Sensing Fails: A Reproducibility Study of CSI-IMU Substitution for Human Activity Recognition (2026) [Contribution to conference › Paper] 1st Workshop on Reproducible Methods for Wearable Sensing and Ubiquitous Computing held in conjunction with the UbiComp/ISWC 2026 (Accepted/In press). Liebeton, J., İşgüder, E., Durmaz-Incel, Ö. & Klein Brinke, J. Consensus-Based Distributed Channel State Information for Human Activity Recognition (2026) In 2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) . Article 11585363. IEEE Advancing Technology for Humanity. Brinke, J. K., Chiumento, A. & Incel, Ö. D. https://doi.org/10.1109/PerComWorkshops68308.2026.11585363 Preface (2026) In International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings (pp. v-vi) (Lecture Notes in Computer Science; Vol. 16292 LNCS). Springer. Durmaz Incel, Ö. , Qin, J., Bieber, G. & Kuijper, A. https://doi.org/10.1007/978-3-032-13312-0 Hue4U: Real-Time Personalized Color Correction in Augmented Reality (2026) In Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Enschede, The Netherlands, September 18–19, 2025, Proceedings (pp. 20-37) (Lecture Notes in Computer Science; Vol. 16292). Springer. Qin, J., Checherin, S., Li, Y., van der Zwaag, B.-J. & Durmaz Incel, Ö. https://doi.org/10.1007/978-3-032-13312-0_2 Lightweight Deep Learning for Sensor-Based HAR: Benchmarking Optimization Strategies (2026) In Sensor-Based Activity Recognition and Artificial Intelligence: 10th International Workshop, iWOAR 2025, Proceedings (pp. 77-98) (Lecture Notes in Computer Science; Vol. 16292 LNCS). Springer. Agac, S. & Durmaz Incel, Ö. https://doi.org/10.1007/978-3-032-13312-0_5 Underspecification of transformers in indoor localization and indoor navigation (2025) [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Nguyen, S. M. https://doi.org/10.3990/1.9789036567282 BicycleSense360: Real-World Multi-Modal Naturalistic Cycling Data Acquisition and Synchronization System (2025) In UbiComp Companion '25: Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1443-1449). Association for Computing Machinery, Inc. Pallamreddy, A., Van Maare, N., Shalhoub, D., Durmaz Incel, O. & Huang, Y. https://doi.org/10.1145/3714394.3756286 Head Movement-Based Visual Distraction Detection in Cyclists with Earables (2025) In UbiComp Companion '25: Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 847-853). Association for Computing Machinery, Inc. Balakrishnan, S., Pallamreddy, A., Huang, Y. & Durmaz Incel, O. https://doi.org/10.1145/3714394.3757261 Immersive Bridge Inspection: Quantifying the Benefits of XR for Anomaly Detection (2025) In UbiComp Companion '25: Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1252-1256). Association for Computing Machinery. Khoshraftar, A. S., van der Zwaag, B. J., Le, D. V. & Durmaz Incel, O. https://doi.org/10.1145/3714394.3756250 Pedaling Gossips: Towards Location-Privacy-Preserved Data Sharing with Smart Bicycles (2025) In UbiComp Companion '25: Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1457-1462). Association for Computing Machinery, Inc. Yeleshetty, D., Durmaz Incel, O. & Huang, Y. https://doi.org/10.1145/3714394.3756284 Research profiles Courses academic year 2026/2027 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 2025/2026 
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