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Melih Kandemir

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Melih Kandemir

Professor

 https://orcid.org/0000-0001-6293-3656

Personal profile

Education/Academic qualification

Computer Science, PhD, Learning Mental States from Biosignals, Aalto University

2008 → 2013

Award Date: 4. May 2013

Current external positions

Research Group Leader, Bosch Center for Artificial Intelligence

2018 → 2021

Assistant Professor, Ozyegin University

2017 → 2018

Postdoctoral Researcher, Heidelberg University

Keywords

  • Machine Learning
  • Bayesian inference
  • Stochastic processes
  • Reinforcement learning
  • Deep neural nets

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Collaborations and top research areas from the last five years

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  • A physics-constrained framework for fatigue data augmentation of post-weld treated joints: censored S–N estimation with an exploratory generative component

    Mülkoğlu, O., Kandemir, M. & Yıldırım, H. C., 15. Sept 2026, (E-pub ahead of print) In: Journal of Intelligent Manufacturing.

    Research output: Contribution to journal › Journal article › Research › peer-review

    Open Access

  • Disentanglement with factor quantized variational autoencoders

    Baykal, G., Kandemir, M. & Unal, G., 14. Jan 2026, In: Neurocomputing. 661, 14 p., 131968.

    Research output: Contribution to journal › Journal article › Research › peer-review

    Open Access
    File
    25 Downloads (Pure)

  • Deep Exploration with PAC-Bayes

    Tasdighi, B., Haussmann, M., Werge, N., Wu, Y. S. & Kandemir, M., 21. Oct 2025, ECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings. Lynce, I., Murano, N., Vallati, M., Villata, S., Chesani, F., Milano, M., Omicini, A. & Dastani, M. (eds.). IOS Press BV, p. 3138-3145 (Frontiers in Artificial Intelligence and Applications, Vol. 413).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    Open Access
    File
    4 Downloads (Pure)

  • Improving Actor-Critic Training with Steerable Action-Value Approximation Errors

    Tasdighi, B., Werge, N., Wu, Y. S. & Kandemir, M., 21. Oct 2025, ECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings. Lynce, I., Murano, N., Vallati, M., Villata, S., Chesani, F., Milano, M., Omicini, A. & Dastani, M. (eds.). IOS Press BV, p. 2770-2777 8 p. (Frontiers in Artificial Intelligence and Applications, Vol. 413).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    Open Access
    File
    3 Downloads (Pure)

  • In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review

    Jiménez-Sánchez, A., Avlona, N. R., De Boer, S., Campello, V. M., Feragen, A., Ferrante, E., Ganz, M., Gichoya, J. W., Gonzalez, C., Groefsema, S., Hering, A., Hulman, A., Joskowicz, L., Juodelyte, D., Kandemir, M., Kooi, T., Lérida, J. D. P., Li, L. Y., Pacheco, A. & Rädsch, T. & 9 others, Reyes, M., Sourget, T., Van Ginneken, B., Wen, D., Weng, N., Xu, J. J., Zajaç, H. D., Zuluaga, M. A. & Cheplygina, V., 23. Jun 2025, Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery, p. 511-531

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    Open Access
    File
    47 Downloads (Pure)
View all 57 research outputs