Hello World!
I'm Kaan, a master
student at
EPFL SysCom.
Kaan Okumus, 2019
Research Interests
My research focuses on information theory and wireless communications, with a particular emphasis on massive random access systems. I work on scalable algorithm design for large-scale wireless networks, including distributed MIMO architectures, with applications to federated learning and sensing-based systems.
Preprints, Submitted or Accepted Papers
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Kaan Okumus, K.-H. Hoang, G. Durisi, and E. G. Ström, "Type-based unsourced multiple access over fading channels in distributed MIMO with application to multi-target localization," submitted to IEEE Trans. Wireless Commun., Mar. 2026.
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D. P. Krishnan, Kaan Okumus, K.-H. Ngo, and G. Durisi, "Minimum energy per bit of unsourced multiple access with location-based codebook partitioning," accepted to IEEE Int. Symp. Inf. Theory (ISIT), Guangzhou, China, Feb. 2026. Extended version:
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Kaan Okumus, K.-H. Hoang, U. K. Ganesan, G. Durisi, E. G. Ström, and S. R. Pandey, "Type-based unsourced federated learning with client self-selection," accepted to IEEE Int. Conf. Commun. (ICC), Glasgow, Scotland, UK, Feb. 2026.
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Journal Papers
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N. Bähler, M. E. Helou, É. Objois, Kaan Okumus, and S. Süsstrunk, "PoGaIN: Poisson-Gaussian image noise modeling from paired samples," in IEEE Signal Proc. Lett., Vol. 29, pp. 2602-2606, Dec. 2022.
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Conference Papers
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Kaan Okumus, K.-H. Ngo, G. Durisi, and E. G. Ström, “Type-based unsourced multiple access over fading channels with cell-free massive MIMO,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Ann Arbor, MI, USA, June 2025.
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D. P. Krishnan, Kaan Okumus, K.-H. Ngo, and G. Durisi, “An achievability bound for type-based unsourced multiple access,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Ann Arbor, MI, USA, June 2025.
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K.-H. Ngo, D. P. Krishnan, Kaan Okumus, G. Durisi, and E. G. Ström, “Type-based unsourced multiple access,” in Proc. IEEE Int. Workshop Signal Process. Advances Wireless Commun. (SPAWC), Lucca, Italy, Sept. 2024.
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Theses
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[MSc] Kaan Okumus, "Linear inverse problems for manifolds using graph signal processing," École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, July 2023.
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[BSc] Kaan Okumus, O. Oral, S. Mert, U. Sedef, and M. Marchenkova "SYMON: Symptom Monitor of COVID-19," Middle East Technical University (METU), Ankara, Türkiye, June 2021.
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