Projecten per jaar
Persoonlijk profiel
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 gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
Vingerafdruk
- 1 Soortgelijke profielen
Netwerk
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INTERSECT: NWA.1160.18.301 An Internet of Secure Things - INTERSECT (SENS)
Weffers, H., Etalle, S., Kempinski, S. P., Luyk, M., Bibi, I., Meratnia, N., Özçelebi, T., Hatefi, Z., van den Brand, M. G. J. & Kurtev, I.
1/09/20 → 31/08/28
Project: Onderzoek direct
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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: Onderzoek 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, blz. 4576-4582 7 blz. 10000833Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › 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, blz. 1491-1502 12 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
11 Citaties (SciVal) -
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.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › 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, blz. 476-480 5 blz. 9746356Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
1 Citaat (Scopus)2 Downloads (Pure) -
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 blz., 74.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand1 Citaat (Scopus)8 Downloads (Pure)