Dr. Ahmed Abdulkadir
Dr. Ahmed Abdulkadir
ZHAW
School of Engineering
Machine Perception & Cognition Group
Technikumstrasse 71
8400 Winterthur
Arbeit an der ZHAW
Tätigkeit
Wissenschaftler, Experte, Innovator, Gutachter, Mentor
Arbeits- und Forschungsschwerpunkte
- Maschinelles lernen
- Deep learning
- Analyse von medizinischen Daten
- Industrielle KI
Lehrtätigkeit
- Computer Vision with Deep Learning
- Introduction to Artificial Intelligence
- Gastvorlesung Einführung in KI für BSc in Ergotherapie
Lehrtätigkeit in der Weiterbildung
CAS Advanced Machine Learning and Machine Learning Operations
Berufserfahrung
- Experte Datenanalyse und Forschungsmethodik (part-time)
Universitätsklinik für Alterspsychiatrie und Psychotherapie
08 / 2023 - heute - Senior Researcher
ZHAW
03 / 2023 - heute - Senior Researcher
Centre hospitalier universitaire vaudois (CHUV)
02 / 2022 - 02 / 2023 - Research Fellow / Visiting Researcher
University of Pennsylvania
08 / 2019 - 01 / 2022 - Wissenschaftlicher Mitarbeiter
Universitätsklinik für Alterspsychiatrie und Psychotherapie
01 / 2019 - 01 / 2020 - Research Assistant / PhD Student
Universitätsklinik für Alterspsychiatrie und Psychotherapie
11 / 2016 - 12 / 2018 - Research Assistant / PhD Student
Universitätsklinikum Freiburg
08 / 2012 - 10 / 2016 - Automationsingenieur
Kowap AG
01 / 2008 - 07 / 2012
Aus- und Weiterbildung
Ausbildung
- Dr.-Ing. / Computerwissenschaften
Albert-Ludwigs-Universität Freiburg
08 / 2012 - 12 / 2018 - MSc / Sciences et technologies du vivant
École Polytechnique Fédérale de Lausanne
09 / 2010 - 07 / 2012 - BSc / Sciences et technologies du vivant
École Polytechnique Fédérale de Lausanne
09 / 2007 - 07 / 2010 - BSc / Systemtechnik
NTB Buchs
09 / 2001 - 08 / 2004
Netzwerk
Mitglied in Netzwerken
ORCID digital identifier
Projekte
- Automatisierte Extraktion und Identifikation von Musiktiteln aus Spielfilmen / Projektleiter:in / laufend
- dAIrector – Automatisierte Mehrkamera-Liveproduktion für Veranstaltungen / Teammitglied / laufend
- Evidence-Based Diagnostic Assistance for Echocardiography / Projektleiter:in / laufend
- Studie zur semiautomatischen Plakaterschliessung an der Schweizerischen Nationalbibliothek / Teammitglied / abgeschlossen
- 3D-Master for a Digitized Manufacturing Platform / Teammitglied / abgeschlossen
- DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Teammitglied / abgeschlossen
Publikationen
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
- Sager, P. J., Meyer, B., Yan, P., von Wartburg-Kottler, R., Etaiwi, L., Enayati, A., Nobel, G., Abdulkadir, A., Grewe, B. F., & Stadelmann, T. (2026). A comprehensive survey of agents for computer use : foundations, challenges, and future directions. Journal of Artificial Intelligence Research, 85(34). https://doi.org/10.1613/jair.1.19490
- Henzen, N. A., Abdulkadir, A., Reinhardt, J., Blatow, M., Kressig, R. W., & Krumm, S. (2025). Automated segmentation for cortical thickness of the medial perirhinal cortex. Scientific Reports, 15(14903). https://doi.org/10.1038/s41598-025-98399-w
- Govindarajan, S. T., Mamourian, E., Erus, G., Abdulkadir, A., Melhem, R., Doshi, J., Pomponio, R., Tosun, D., Bilgel, M., An, Y., Sotiras, A., Marcus, D. S., LaMontagne, P., Benzinger, T. L. S., Espeland, M. A., Masters, C. L., Maruff, P., Launer, L. J., Fripp, J., et al. (2025). Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals. Nature Communications, 16(1), 2724. https://doi.org/10.1038/s41467-025-57867-7
- Jermain, P. R., Oswald, M., Langdun, T., Wright, S., Khan, A., Stadelmann, T., Abdulkadir, A., & Yaroslavsky, A. N. (2024). Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer. Scientific Reports, 14(1), 16389. https://doi.org/10.1038/s41598-024-64855-2
- Yan, P., Abdulkadir, A., Luley, P.-P., Rosenthal, M., Schatte, G. A., Grewe, B. F., & Stadelmann, T. (2024). A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions. IEEE Access, 12, 3768–3789. https://doi.org/10.1109/ACCESS.2023.3349132
- Rathore, S., Iftikhar, M. A., Chaddad, A., Singh, A., Gillani, Z., & Abdulkadir, A. (2023). Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. Computer Methods and Programs in Biomedicine, 242(107812). https://doi.org/10.1016/j.cmpb.2023.107812
Schriftliche Konferenzbeiträge, peer-reviewed
- Ali, W., Stämpfli, S., Stadelmann, T., Aschkenasy, S., & Abdulkadir, A. (2026, April 8). Automated, vendor-agnostic measurement of myocardial tissue velocities in echocardiography. 23rd IEEE International Symposium on Biomedical Imaging (ISBI), London, United Kingdom, 8-11 April 2026. https://doi.org/10.21256/zhaw-35211
- Meyer, B., Sager, P., Abdulkadir, A., Grewe, B. F., Schuetz, P., Stadelmann, T., & Burn, F. (2025). Hounsfield unit ranges as inductive bias for intra-clinical learning of data-efficient CT segmentation models [Conference paper]. 2025 IEEE Swiss Conference on Data Science (SDS), 1–7. https://doi.org/10.1109/SDS66131.2025.00008
- Yan, P., Abdulkadir, A., Schatte, G. A., Aguzzi, G., Gha, J., Pascher, N., Rosenthal, M., Gao, Y., Grewe, B. F., & Stadelmann, T. (2025). Learning actionable world models for industrial process control [Conference paper]. 2025 IEEE Swiss Conference on Data Science (SDS), 111–118. https://doi.org/10.1109/SDS66131.2025.00022
- Lanfant, B., Lack, S., Meyer, B., Abdulkadir, A., Stadelmann, T., & Schmid, D. (2025). 3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts [Conference paper]. BHM Berg- Und Hüttenmännische Monatshefte, 170(3), 158–171. https://doi.org/10.1007/s00501-025-01563-y
- Yan, P., Abdulkadir, A., Aguzzi, G., Schatte, G. A., Grewe, B. F., & Stadelmann, T. (2024). Automated process monitoring in injection molding via representation learning and setpoint regression [Conference paper]. 2024 11th IEEE Swiss Conference on Data Science (SDS), 138–145. https://doi.org/10.1109/SDS60720.2024.00027
- Jermain, P. R., Oswald, M., Langdun, T., Wright, S., Khan, A., Stadelmann, T., Abdulkadir, A., & Yaroslavsky, A. N. (2024). Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions [Conference paper]. Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN), MTu4A. https://doi.org/10.1364/MICROSCOPY.2024.MTu4A.5
- Machine learning in clinical neuroimaging. (2023). In A. Abdulkadir, D. R. Bathula, N. C. Dvornek, S. T. Govindarajan, M. Habes, V. Kumar, E. Leonardsen, T. Wolfers, & Y. Xiao (Eds.), 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN), held in conjunction with MICCAI 2023, Vancouver, Canada, 8-12 October 2023. Springer. https://doi.org/10.1007/978-3-031-44858-4
Mündliche Konferenzbeiträge und Abstracts
Lanfant, B., Lack, S., Meyer, B., Abdulkadir, A., Stadelmann, T., & Schmid, D. (2024, September 17). 3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts. Metal Additive Manufacturing Conference (MAMC), Aachen, Germany, 17-19 September 2024.
Publikationen vor Tätigkeit an der ZHAW
- Chaddad, A.; Lu, Q.; Li, J.; Katib, Y.; Kateb, R.; Tanougast, C.; Bouridane, A.; Abdulkadir, A. (2023) Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. IEEE/CAA J. Autom. Sinica 10, 859–876.
- Yang, Z.; Nasrallah I.M.; Shou, H.; Wen, J.; Doshi, J.; Habes, M.; Erus, G.; Abdulkadir, A.; Resnick, S.M.; Albert, M.S.; Maruff, P.; Fripp, J.; Morris, J.C.; Wolk, D.A.; Davatzikos, C. (2021) A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structure. Nat Commun 12, 7065.
- Anastasopoulos, C., Yang, S., Pradella, M., Akinci D'Antonoli, T., Knecht, S., Cyriac, J., Reisert, M., Kellner, E.; Achermann, R.; Haaf, P.; Stieltjes, B.; Sauter, A.W.; Bremerich, J.; Sommer, G.; Abdulkadir, A. (2021) Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium. J Cardiovasc Magn Reson 23, 133.
- Rathore, S.; Abdulkadir, A.; Davatzikos, C. (2020) Analysis of MRI Data in Diagnostic Neuroradiology. Annu. Rev. Biomed. Data Sci. 3, 365–390.
- Çiçek, Ö; Abdulkadir, A; Lienkamp, SS; Brox, T; Ronneberger, O. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation, International Conference on Medical Image Computing and Computer-Assisted Intervention (2016)
- Google Scholar Publikationsliste