Scholar
Ahmad Chaddad
Google Scholar ID: ACaSfwoAAAAJ
Professor @ School of Artificial Intelligence, GUET; LIVIA-ETS
Citations & Impact
Citations
3,175
H-index
30
i10-index
50
Publications
20
Co-authors
15
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Authored more than 85 peer-reviewed research papers.
- 2023: Published in IEEE Internet of Things on CNN-based prediction of survival outcomes in COVID-19 patients.
- 2023: Published in IEEE/CAA Journal of Automatica Sinica on explainable, domain-adaptive, and federated AI in medicine.
- 2022: Published in IEEE Transactions on Neural Networks and Learning Systems on deep radiomic analysis for predicting COVID-19 from CT and X-ray images.
- 2022: Published in Neurocomputing on deep radiomic signatures with immune markers for glioma survival prediction.
- 2021: Published in IEEE Journal of Biomedical and Health Informatics on modeling texture in deep 3D CNNs for survival analysis.
- 2019: Published in IEEE Journal of Biomedical and Health Informatics on novel radiomic features based on joint intensity matrices for glioblastoma survival prediction.
Research Experience
- 2020–present: Professor, School of Artificial Intelligence, Guilin University of Electronic Technology, Guilin, Guangxi, China
- 2018–2020: Project Director, Lady Davis Institute for Medical Research, McGill University, Montreal, QC, Canada
- 2017–2019: Adjunct Professor, École de Technologie Supérieure (ETS), Montreal, QC, Canada
- 2015–2017: Postdoctoral Researcher, McGill University & ETS, Montreal, QC, Canada
- 2013–2015: Postdoctoral Researcher, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- 2013 (7 months): Postdoctoral Researcher, Villanova University, Villanova, PA, USA
- 2012–2013 (6 months): Research Associate, École Polytechnique de Montréal, Montreal, QC, Canada
