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
    • Resource Consumption
    • Sensor

  • 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

Resource-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

2020

Exploring the parameter space of human activity recognition with mobile devices (2020)Turkish journal of electrical engineering and computer sciences, 28(6), 3094-3110. Saylam, B., Shoaib, M. & Durmaz Incel, Ö.https://doi.org/10.3906/ELK-1910-139

Research profiles

Address

University of Twente

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

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Organisations

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