Elif Konyar

Elif Konyar

Postdoctoral Fellow @GaTech

Publications

Refereed Journal Papers (accepted or published)

  1. Konyar, E., Paynabar, K. (2025). Discussion on “The Statistical Finite Element Method: A Theoretical Foundation for Digital Twins”. Quality Engineering. (Just accepted)

  2. Amini, M., Konyar, E., Reisi Gahrooei, M. (2025). Federated Cooperative Generalized Linear Model for Distributed Multimodal Data Analysis. IISE Transactions. https://doi.org/10.1080/24725854.2025.2511666

  3. Konyar, E., Reisi Gahrooei, M. (2025). Semi-Supervised PARAFAC2 Decomposition for Computational Phenotyping Using Electronic Health Records. IEEE Transactions on Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2025.3530271

  4. Nouri, M., Konyar, E., Reisi Gahrooei, M., Ilbeigi, M. (2024). Detecting Traffic Anomalies During Extreme Events via a Temporal Self-Expressive Model. IEEE Transactions on Intelligent Transportation Systems, 1–14. https://doi.org/10.1109/TITS.2024.3397034

  5. Konyar, E., Reisi Gahrooei, M., Zhang, R. (2023). Robust Generalized Scalar-on-Tensor Regression. IISE Transactions, 1–23. https://doi.org/10.1080/24725854.2023.2290110
    Selected as a featured article in the January 2025 issue of ISE Magazine.

  6. Konyar, E., Reisi Gahrooei, M. (2023). Federated Generalized Scalar-on-Tensor Regression. Journal of Quality Technology, 1–18. https://doi.org/10.1080/00224065.2023.2246600
    Finalist — Best Student Paper (QCRE), IISE Annual Conference 2023
    Finalist — Best Paper, INFORMS ICQSR 2023

Book Chapters

  1. Barry, G., Konyar, E., Harvill, B., Johnstone, C. (2024). A Survey of Advances in Multimodal Federated Learning with Applications. In Multimodal and Tensor Data Analytics for Industrial Systems Improvement (Springer Optimization and Its Applications), pp. 315–344. https://doi.org/10.1007/978-3-031-53092-0_15

Under Review

In Preparation

Additional manuscripts are in preparation on topics including human-centered AI (expertise modeling with egocentric data), computational phenotyping and survival risk estimation, federated and distributed analytics, and reinforcement learning for multi-sensor systems.