Projects per year
Personal profile
Quote
“In the Internet of Things era, where tiny networked embedded devices support tasks of humans by organizing themselves into a smart space that is Internet-enabled, ubiquitous smart interaction as was originally envisioned by Mark Weiser is becoming a reality.”
Research profile
Tanir Ozcelebi is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His main research interests are life-cycle management for resource-constrained embedded devices, architecture development for smart spaces and Internet of Things, as well as resource and QoS management and data analytics for networked services. In more detail, his research interests cover the following areas:
Defining and enhancing life-cycles of networks of resource-constrained embedded devices
Architectures for resource management, QoS management and data analytics
Smart spaces, Internet of Things (smart lighting in as application),
Data analytics in Internet of Things and smart spaces context.
Tanir is currently involved in the following projects:
Secure Connected Trustable Things (SCOTT)
Mathematical Optimizations for Human Centric Lighting (Optilight)
Academic background
Tanir Ozcelebi received his PhD degree in Electrical Engineering from Koc University, Istanbul in 2006. In 2006, he joined the System Architecture and Networking Research (SAN) group at TU/e as a postdoctoral researcher. Since 2013, Tanir has been research program manager for the Bright Environments research program of TU/e Intelligent Lighting Institute. At TU/e he is also a core team member of the Internet of Things research program of the Data Science Center Eindhoven (DSC/e), Vice Chairman of the Educational Committee Bachelor Computer Science and member of the TU/e wide Joint Program Committee.
He is also guest editor for the Energies Journal and co-organizer for the Smart Lighting Environments: Sensing and Control (SLESC) special session of the IEEE International Conference on Networking, Sensing and Control and of the Workshop on Ambient Intelligence Infrastructures. Tanir has also been a TPC member of a wide range of events, including the IEEE/IPSJ International Symposium on Applications and the Internet and the International Workshop on Self-managing Solutions for Smart Environments.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Network
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OptiLight
Linnartz, J. M. G., Bonarius, J. H., Smolders, K. C. H. J., Vogels, I. M. L. C., Peeters, S. T., Dangol, R., Kruisselbrink, T. W., Özçelebi, T. & de Kort, Y. A. W.
1/11/16 → 31/10/20
Project: Research direct
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Intelligent Blockage Recognition using Cellular mmWave Beamforming Data: Feasibility Study
van Berlo, B., Miao, Y., Hersyandika, R., Meratnia, N., Özçelebi, T., Kokkeler, A. & Pollin, S., 11 Jan 2023, 2022 IEEE Global Communications Conference (GLOBECOM) Proceedings. Institute of Electrical and Electronics Engineers, p. 4576-4582 7 p. 10000833Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems
Liu, Q., Xia, T., Cheng, L., van Eijk, M., Ozcelebi, T. & Mao, Y., 1 Jun 2022, In: IEEE Transactions on Parallel and Distributed Systems. 33, 6, p. 1491-1502 12 p.Research output: Contribution to journal › Article › Academic › peer-review
7 Citations (Scopus) -
Federated Learning with Noisy Labels: Achieving Generalization in the Face of Label Noise
Tsouvalas, V., Saeed, A., Özçelebi, T. & Meratnia, N., 1 Dec 2022, NeurIPS 2022 Workshop INTERPOLATE.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
Federated Self-Training for Data-Efficient Audio Recognition
Tsouvalas, V., Saeed, A. & Ozcelebi, T., 27 Apr 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, p. 476-480 5 p. 9746356Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus) -
Federated Self-Training for Semi-Supervised Audio Recognition
Tsouvalas, V., Saeed, A. & Özçelebi, T., Nov 2022, In: ACM Transactions on Embedded Computing Systems. 21, 6, 26 p., 74.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure)