Dr. Ahmed Abdulkadir

Dr. Ahmed Abdulkadir
ZHAW
School of Engineering
Centre for Artificial Intelligence
Technikumstrasse 71
8400 Winterthur
Work at ZHAW
Position
Scientist, expert, innovator, reviewer, mentor
Professional development teaching
CAS Advanced Machine Learning and Machine Learning Operations
Education and Continuing education
Expertise and research interests
Machine learning, deep learning, medical image analysis, industrial AI
Experience
Automation engineer
Kowap AG
01 / 2008 - 07 / 2012
Education
- PhD / Computer sciences
Albert-Ludwigs-University Freiburg-im-Breisgau
08 / 2012 - 12 / 2018 - MSc / Life sciences
École Polytechnique Fédérale de Lausanne
09 / 2010 - 07 / 2012 - BSc / Life sciences
École Polytechnique Fédérale de Lausanne
09 / 2007 - 07 / 2010 - BSc / Systems engineering
NTB Buchs
09 / 2001 - 08 / 2004
Projects
- Master3D – 3D-Master for a Digitized Manufacturing Platform / Team member / Project ongoing
- DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Team member / Project ongoing
Publications
-
Rathore, Saima; Iftikhar, Muhammad A.; Chaddad, Ahmad; Singh, Ashish; Gillani, Zeeshan; Abdulkadir, Ahmed,
2023.
Computer Methods and Programs in Biomedicine.
242(107812).
Available from: https://doi.org/10.1016/j.cmpb.2023.107812
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Abdulkadir, Ahmed; Bathula, Deepti R.; Dvornek, Nicha C.; Govindarajan, Sindhuja T.; Habes, Mohamad; Kumar, Vinod; Leonardsen, Esten; Wolfers, Thomas; Xiao, Yiming, eds.,
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.
Available from: https://doi.org/10.1007/978-3-031-44858-4
Publications before appointment at the 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.