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CHADDAD AHMAD 正高级 (ahmad8chaddad@gmail.com)    

Guilin University of Electronic Technology    

Artificial intelligence for personalized medicine;Medical image analysis;Multi-omics:radiomics, radiogenomics;Survival analysis

个人简介
Ahmad Chaddad is currently an associate member at the LIVIA, Ecole de Technologie Superieure (ETS), University of Quebec. He worked as a project director (2018-2020) at the Lady Davis Institute for Medical Research, McGill University. He received his B.E. and M. Eng. degrees in 2007 and 2008, respectively, and his Ph.D. degree in engineering systems from the University of Lorraine, France in 2012. His previous experience includes working as an adjunct professor at ETS (2017-2019), and as a postdoctoral research fellow at the University of Texas MD Anderson Cancer Center (2013-2015), and at ETS and McGill University Health Centre (2015-2017). His current research interests include AI and radiomics analysis in order to improve personalized medicine strategies, by allowing clinicians to monitor disease in real time as patients move through treatment. He is a member of several international technical and organizational committees. Additionally, he has authored over 74 research complete papers.
教育背景

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.

工作经历

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.

主要荣誉
学术活动

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.

教学信息

2021-2022: Digital signal processing

2021-2022: Digital system and design

2009-2018: Electronic circuits

2016-2018: Computer vision

2017-2018: Biometric system

主要论文

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]


5. Chaddad, A., Daniel P., Sabri S., Desrosiers C., Abdulkarim B., 2019. “Integration of Radiomic and Multi-omic Analyses Predicts Survival of Newly Diagnosed IDH1 Wild-Type Glioblastoma”, Cancers, 2019, 11, 1148. https://doi.org/10.3390/cancers11081148. [Impact Factor=6.6].
学术著作

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

科研项目

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.

知识产权
NA
联系信息

ahmad8chaddad@gmail.com

ahmadchaddad@guet.edu.cn

ahmad.chaddad@affiliate.mcgill.ca

常用链接

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