Publications

Full list of publications available at Google Scholar Page

2026

• Liebeton, J., İşgüder, E., Durmaz-Incel, Ö., & Brinke, J. K. (2026, October). Where WiFi Sensing Fails: A Reproducibility Study of CSI-IMU Substitution for Human Activity Recognition. In 1st Workshop on Reproducible Methods for Wearable Sensing and Ubiquitous Computing held in conjunction with the UbiComp/ISWC 2026.
• Gonzalez, D. G., Işgüder, E., & Incel, Ö. D. (2026, July). A Lightweight Ensemble for Sensor Fault Injection, Detection and Fusion in Earables. In 2026 International Conference on Smart Applications, Communications and Networking (SmartNets) (pp. 1-6). IEEE.
• Le, V. D., & Incel, O. D. (2026, June). Edge-LLM-Bench: Characterising LLM Inference on Raspberry Pi 5 with Hailo-10H NPU Acceleration. In Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops (pp. 44-50).
• Le, D. V., & Incel, O. D. (2026, June). TempoRisk: Temporal Object Memory for Real-Time Collision Anticipation on Mobile Devices. In Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops (pp. 37-43).
• Brinke, J. K., Chiumento, A., & Incel, Ö. D. (2026, March). Consensus-Based Distributed Channel State Information for Human Activity Recognition. In 2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 1-6). IEEE.
• Muharto, B., Işgüder, E., & Incel, Ö. D. (2026, March). Hierarchical Silent Command Recognition on Earables: A Multistage Learning Approach. In 2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 1-6). IEEE.

2025

• Kupers, X., Brinke, J. K., Bemthuis, R., & Incel, O. D. (2025, August). Towards Edge-Based Idle State Detection in Construction Machinery Using Surveillance Cameras. In Intelligent Systems Conference (pp. 402-418). Cham: Springer Nature Switzerland.
• Khoshraftar, A. S., van der Zwaag, B. J., Le, D. V., & Durmaz-Incel, Ö. (2025, July). Digital Twins for Bridge Assessment and Maintenance. In 2025 International Conference on Smart Applications, Communications and Networking (SmartNets) (pp. 1-6). IEEE.
• Peltonen, E., Bayhan, S., Bermbach, D., Buschjager, S., Degeler, V., Ding, A. Y., … & van der Waaij, B. (2025). Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. IEEE Internet Computing.
• İşgüder, E., & Durmaz İncel, Ö. (2025). FedOpenHAR: Federated Multitask Transfer Learning for Sensor-Based Human Activity Recognition. Journal of Computational Biology, 32(6), 558-572.

2024

• Özkaynak, B., Aras, N., Daloğlu Çetinkaya, İ., Ersoy, C., Durmaz İncel, Ö., Koca, M., … & Yücesoy, C. A. (2024). Neurochallenges in smart cities: state-of-the-art, perspectives, and research directions. Frontiers in Neuroscience, 18, 1279668.
• Sepanosian, T., & Durmaz Incel, O. (2024, October). Boxing Gesture Recognition in Real-Time using Earable IMUs. In Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 673-678).
• Sepanosian, T., & Durmaz Incel, O. (2024, October). Training Smarter with OpenEarable: A Boxing Gesture Recognition Dashboard Integration. In Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 921-924).
• Agac, S., & Incel, O. D. (2024). Resource-efficient, sensor-based human activity recognition with lightweight deep models boosted with attention. Computers and Electrical Engineering, 117, 109274.
• Saylam, B., & İncel, Ö. D. (2024). Multitask Learning for Mental Health: Depression, Anxiety, Stress (DAS) Using Wearables. Diagnostics, 14(5), 501.
• Agac, S., & Incel, O. D. (2024, June). Boosting the Performance of Lightweight HAR Models with Attention and Knowledge Distillation. In 2024 International Conference on Intelligent Environments (IE) (pp. 1-8). IEEE.
• Yıldırım, A., & İncel, Ö. D. (2024, May). Class-Incremental Continual Learning for Human Activity Recognition with Motion Sensors. In 2024 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

2023

• Agac, S., & Durmaz Incel, O. (2023). User Authentication and Identification on Smart Glasses with Motion Sensors. Springer SN Computer Science (accepted)
• Bursa, S. Ö., Durmaz İncel, Ö., & Işıklar Alptekin, G. (2023). Building Lightweight Deep learning Models with TensorFlow Lite for Human Activity Recognition on Mobile Devices. Annals of Telecommunications, 1-16.
• Bursa, S. O., Incel, O. D., & Alptekin, G. I. (2023). Personalized and motion-based human activity recognition with transfer learning and compressed deep learning models. Computers and Electrical Engineering, 109, 108777.
• Agac, S., & Durmaz Incel, O. (2023). On the Use of a Convolutional Block Attention Module in Deep Learning-Based Human Activity Recognition with Motion Sensors. Diagnostics, 13(11), 1861.
• Kilic, O., Saylam, B., & Durmaz Incel, O. (2023, March). Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning. In Proceedings of the 2023 8th International Conference on Machine Learning Technologies (pp. 116-120).
• Incel, O. D., & Bursa, S. O. (2023). On-Device Deep Learning for Mobile and Wearable Sensing Applications: A Review. IEEE Sensors Journal.

Others

Full list of publications available at Google Scholar Page