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
    • Gesture Recognition
    • Human Activity 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

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

2023

Building Lightweight Deep learning Models with TensorFlow Lite for Human Activity Recognition on Mobile Devices (2023)Annales des telecommunications, 78(11-12), 687-702. Bursa, S. Ö., Durmaz İncel, Ö. & Işıklar Alptekin, G.https://doi.org/10.1007/s12243-023-00962-xEvaluation of Deep Learning Models for Continuous Authentication Using Behavioral Biometrics (2023)Procedia computer science, 225, 1272-1281. Uslu, U., Incel, Ö. D. & Alptekin, G. I.https://doi.org/10.1016/j.procs.2023.10.115Extracting Digital Biomarkers for Unobtrusive Stress State Screening from Multimodal Wearable Data (2023)In Smart Technologies for Sustainable and Resilient Ecosystems: 3rd EAI International Conference, Edge-IoT 2022, and 4th EAI International Conference, SmartGov 2022, Virtual Events, November 16-18, 2022, Proceedings (pp. 130-151) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 510 LNICST). Springer. Saylam, B. & Durmaz İncel, Ö.https://doi.org/10.1007/978-3-031-35982-8_10

2021

Context-aware and dynamically adaptable activity recognition with smart watches: A case study on smoking (2021)Computers and electrical engineering, 90. Article 106949. Agac, S., Shoaib, M. & Incel, O. D.https://doi.org/10.1016/j.compeleceng.2020.106949DAKOTA: Sensor and Touch Screen-Based Continuous Authentication on a Mobile Banking Application (2021)IEEE Access, 9, 38943-38960. Article 9367144. Incel, O. D., Gunay, S., Akan, Y., Barlas, Y., Basar, O. E., Alptekin, G. I. & Isbilen, M.https://doi.org/10.1109/ACCESS.2021.3063424

Research profiles

Address

University of Twente

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

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