Mohammad Kohankhaki, M.Sc.
mohammad.kohankhaki"at"inda.rwth-aachen.de |
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Short Curriculum Vitae
11/2022-Present | Research and teaching assistant, RWTH Aachen University, Germany. |
10/2019-09/2022 | M.Sc., Computer Science, RWTH Aachen University, Thesis: “Design and Implementation of a Hybrid Multimodal Deep Learning System for Classifying Medical Images“. |
10/2016-09/2019 | B.Sc., Computer Science, RWTH Aachen University, Thesis: "Eine integrierte Verifikationsumgebung für verteilte Systeme". |
08/2013-07/2016 | Abitur, Gymnasium Theodorianum, Paderborn, Advanced Courses: Computer Science and Mathematics |
Research Interest
My current research interests include Machine Learning in the medical field. In particular, Multimodal Analysis on medical images.
Publications
- M. Kohankhaki, A. Ayad, M. Barhoush and A. Schmeink, "Detecting Data Poisoning in Split Learning Using Intraclass-Distance Inflated Loss", IEEE GLOBECOM Workshop, 2023, accepted.
- M. Kohankhaki, A. Ayad, M. Barhoush, B. Leibe, A. Schmeink, "Radiopaths: Deep Multimodal Analysis on Chest Radiographs," IEEE International Conference on Big Data Workshop (MMBD), 2022, accepted.
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