Zilverling

dr. O. Durmaz - Incel PhD (Özlem)

Associate Professor
EEMCS-CS-PS
Zilverling 5001
ozlem.durmaz@utwente.nl
+31534893545
Business card

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

    • Activity Recognition
    • Online Activity
    • Human Activity Recognition
    • Gesture Recognition
    • Resource Consumption

  • Earth and Planetary Sciences

    • Recognition
    • Human Activity
    • Mobile Phone

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

2025

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/10.3990/1.9789036567282Digital Twins for Bridge Assessment and Maintenance (2025)In 2025 International Conference on Smart Applications, Communications and Networking (SmartNets). Sabzi Khoshraftar, A., van der Zwaag, B. J., Le, D. V. & Durmaz-Incel, Ö.https://doi.org/10.1109/SmartNets65254.2025.11106891FedOpenHAR: Federated Multitask Transfer Learning for Sensor-Based Human Activity Recognition (2025)Journal of Computational Biology, 32(6), 558-572. İşgÜder, E. & Durmaz İncel, Ö.https://doi.org/10.1089/cmb.2024.0631Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras (2025)[Working paper › Preprint]. ArXiv.org. Küpers, X., Klein Brinke, J., Bemthuis, R. H. & Durmaz - Incel, Ö.https://doi.org/10.48550/arXiv.2506.00904Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum (2025)IEEE internet computing, 29(2), 8-18. Peltonen, E., Bayhan, S., Bermbach, D., Buschjager, S., Degeler, V., Ding, A. Y., Incel, O. D., Katare, D., Kjargaard, M. B., Leroux, S., Mahmoodi, T., Mann, Z. A., Meratnia, N., Pimentel, A. D., Rellermeyer, J. S., Riviere, E., Sapra, D., Solmaz, G. & Waaij, B. v. d.https://doi.org/10.1109/MIC.2025.3566642Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras (2025)In Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) (pp. 402-418) (Lecture Notes in Networks and Systems; Vol. 1567). Springer. Kupers, X., Brinke, J. K., Bemthuis, R. & Durmaz - Incel, Ö.https://doi.org/10.1007/978-3-032-00071-2_25

2024

Boxing Gesture Recognition in Real-Time using Earable IMUs (2024)In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 673-678). Association for Computing Machinery. Sepanosian, T. & Durmaz Incel, O.https://doi.org/10.1145/3675094.3680524Training Smarter with OpenEarable: A Boxing Gesture Recognition Dashboard Integration (2024)In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 921-924). Association for Computing Machinery. Sepanosian, T. & Durmaz Incel, O.https://doi.org/10.1145/3675094.3678481Resource-efficient, sensor-based human activity recognition with lightweight deep models boosted with attention (2024)Computers and electrical engineering, 117. Article 109274. Agac, S. & Incel, O. D.https://doi.org/10.1016/j.compeleceng.2024.109274Multitask Learning for Mental Health: Depression, Anxiety, Stress (DAS) Using Wearables (2024)Diagnostics, 14(5). Article 501. Saylam, B. & İncel, Ö. D.https://doi.org/10.3390/diagnostics14050501

Research profiles

Address

University of Twente

Zilverling (building no. 11), room 5001
Hallenweg 19
7522 NH Enschede
Netherlands

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