2009-2012: PhD., Engineering Systems, University of Lorraine, Metz, France

2007-2008: Master-DEA., Bio-mechanical & Biomedical Engineering, University of Technology of Compiegne, Compiegne, France

2002-2007: B. Eng., Biomedical Engineering, Islamic University of Lebanon, Beirut-Khalde, Lebanon.

2020-ongoing: Associate Professor, School of artificial Intelligence, GUET, Guilin, Guangxi, China

2018-2020 (2 years): Project director, Lady Davis Institute for Medical Research, McGill University, Montreal, QC, Canada

2017-2019 (2 years): Adjunct Professor, Ecole de Technologie Superieure (ETS), Montreal, QC, Canada

2015-2017 (2 years): Post-doc, McGill University & ETS, Montreal, QC, Canada

2013-2015 (18 months): Post-doc, University of Texas MD Anderson Cancer Centre, Houston, TX, USA

2013-2013 (7 months): Post-doc, Villanova University, Villanova, PA, USA

2012-2013 (6 months): Research Associate, Ecole Polytechnique de Montreal, Montreal, QC, Canada.

2017 : Chair of special session, The seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017).

2016 : Assistance for students at summer school innovation and technological design program, June 30 - July 29, 2016, ETS, Montreal, Canada.

2015 : Chair of special session, 45th International Conference on Computers & Industrial Engineering http://cie45.event.univ-lorraine.fr/sessions/TanougastChaddad_SessionSpeciale_CIE45.pdf (Machine learning on medical data).

2014: Chair of special session, IEEE International Conference on Control, Decision and Information Technologies. http://codit2014.event.univ-lorraine.fr/docs/SessionSpecialeBiomedical.pdf.

2021-2022: Digital signal processing

2021-2022: Digital system and design

2009-2018: Electronic circuits

2016-2018: Computer vision

2017-2018: Biometric system

1. Chaddad A., Hassan L., Desrosiers, C., 2021 “Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images”, IEEE Transactions on Neural Networks and Learning Systems., vol. 32, DOI: 10.1109/TNNLS.2021.3119071. [Impact Factor=10.4]

2. Chaddad A., Daniel P., Zhang M., Rathore S., Sargos P., Desrosiers, C., Niazi T., 2020 “Deep radiomic signature with immune cell markers predicts the survival of glioma patients”, Neurocomputing, https://doi.org/10.1016/j.neucom.2020.10.117. [Impact Factor=5.8]

3. Chaddad A., Sargos P., Desrosiers, C., 2020 “Modeling texture in deep 3D CNN for survival analysis”, IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2020.3025901. [Impact Factor=5.2]

4. Chaddad, A., Daniel, P., 2019. Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time. IEEE Journal of Biomedical and Health Informatics 23, 795–804. https://doi.org/10.1109/JBHI.2018.2825027. [Impact Factor=5.2]

2019-2021: Guest editor for a special issue in applied science: Artificial Intelligence for Personalized Medicine https://www.mdpi.com/journal/applsci/special_issues/Personalised_Medicine 

2019-2020: Committee member in MICCAI workshop on Radiomics and Radiogenomics in Neuro-oncology using AI. https://sites.google.com/view/rno-ai2019/committees?authuser=0

2021-2024: Artificial intelligence for personalized medicine. GUET. PI: Chaddad A.

2020-2021: Deep radiomic models for the personalized management of prostate cancer. Foreign Young Talents Program (National grant). PI: Chaddad A.

2021-2023: Can Magnetic Resonance Imaging of the Prostate combined with a Radiomics Evaluation Determine the Invasive Capacity of a Tumour (Can MRI-PREDICT). Research Nova Scotia, Co-Investigators: Chaddad A.

ahmad8chaddad@gmail.com

ahmadchaddad@guet.edu.cn

ahmad.chaddad@affiliate.mcgill.ca

http://sai.inpsmart.com:8060/contents/usercenter_30/221.html

Google Scholar: https://scholar.google.com/citations?hl=en&user=ACaSfwoAAAAJ&view_op=list_works&sortby=pubdate

https://orcid.org/0000-0003-3402-9576

Scopus: https://www.scopus.com/authid/detail.uri?authorId=53982608400