Dr. Ahmed Abdulkadir

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 Forscrhungsmethodik (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: 0000-0003-4679-8081

ORCID digital identifier

ORCID ID: 0000-0003-4679-8081

Projekte

• Evidence-Based Diagnostic Assistance for Echocardiography / Projektleiter:in / laufend
• Master3D – 3D-Master for a Digitized Manufacturing Platform / Teammitglied / abgeschlossen
• DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Teammitglied / abgeschlossen

Publikationen

• Jermain, Peter R; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf; Stadelmann, Thilo; Abdulkadir, Ahmed; Yaroslavsky, Anna N.,

  2024.

  Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer.

  Scientific Reports.

  14(1), S. 16389.

  Verfügbar unter: https://doi.org/10.1038/s41598-024-64855-2

• Yan, Peng; Abdulkadir, Ahmed; Luley, Paul-Philipp; Rosenthal, Matthias; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,

  2024.

  A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions.

  IEEE Access.

  12, S. 3768-3789.

  Verfügbar unter: https://doi.org/10.1109/ACCESS.2023.3349132

• Rathore, Saima; Iftikhar, Muhammad A.; Chaddad, Ahmad; Singh, Ashish; Gillani, Zeeshan; Abdulkadir, Ahmed,

  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).

  Verfügbar unter: https://doi.org/10.1016/j.cmpb.2023.107812

• Yan, Peng; Abdulkadir, Ahmed; Aguzzi, Giulia; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,

  2024.

  Automated process monitoring in injection molding via representation learning and setpoint regression [Paper].

  In:

  2024 11th IEEE Swiss Conference on Data Science (SDS).

  11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.

  IEEE.

  S. 138-145.

  Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00027

• Lanfant, Briac; Lack, Silvan; Meyer, Benjamin; Abdulkadir, Ahmed; Stadelmann, Thilo; Schmid, Daniel,

  2024.

  3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts [Paper].

  In:

  Metal Additive Manufacturing Conference (MAMC), Aachen, Germany, 17-19 September 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

• Jermain, Peter R.; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf; Stadelmann, Thilo; Abdulkadir, Ahmed; Yaroslavsky, Ann N.,

  2024.

  Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions [Paper].

  In:

  Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN).

  Optica Biophotonics Congress: Biomedical Optics, Fort Lauderdale, USA, 7-10 April 2024.

  Optica Publishing Group.

  S. MTu4A.5.

  Verfügbar unter: https://doi.org/10.1364/MICROSCOPY.2024.MTu4A.5

• Abdulkadir, Ahmed; Bathula, Deepti R.; Dvornek, Nicha C.; Govindarajan, Sindhuja T.; Habes, Mohamad; Kumar, Vinod; Leonardsen, Esten; Wolfers, Thomas; Xiao, Yiming, Hrsg.,

  2023.

  Machine learning in clinical neuroimaging.

  6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN), held in conjunction with MICCAI 2023, Vancouver, Canada, 8-12 October 2023.

  Cham:

  Springer.

  Lecture Notes in Computer Science ; 14312.

  ISBN 978-3-031-44857-7.

  Verfügbar unter: https://doi.org/10.1007/978-3-031-44858-4

• Lanfant, Briac; Lack, Silvan; Meyer, Benjamin; Abdulkadir, Ahmed; Stadelmann, Thilo; Schmid, Daniel,

  2024.

  3D-master-based method for optimizing the cost calculatin of PBF-LB/M manufactured parts.

  In:

  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

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