About me

Dr. Ashkan Ebadi is a multidisciplinary applied data science researcher specializing in artificial intelligence (AI), machine learning, deep learning, and graph analytics. He earned his Ph.D. in Information Systems Engineering with a focus on AI-based decision support systems. Following his doctoral studies, he completed a two-year postdoctoral fellowship in health informatics at the University of Florida (USA).

Currently, he serves as a Senior Research Officer at the National Research Council Canada (NRC). In addition, he holds positions as an Adjunct Assistant Professor at the University of Waterloo, an Affiliate Assistant Professor at Concordia University (Canada), and is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).

Dr. Ebadi brings extensive academic and industrial experience in designing and implementing intelligent, data-driven solutions. His expertise spans the entire data science pipeline, from problem definition to scalable big data analytics applications. His research focuses on utilizing advanced analytics and machine learning to address complex real-life challenges across various domains, including healthcare, construction, and social sciences.

Research Interests

  • Artificial intelligence, machine learning, deep learning
  • Applied data science
  • Intelligent decision support systems
  • Health informatics
  • Scientometrics

Education

  • 2014, Doctorate, Information Systems Engineering, Concordia University, Canada
  • 2016, Master of Applied Science, Computer Science, Concordia University, Canada
  • 2007, Master of Applied Science, Systems Engineering, Mazandaran University, Iran
  • 2001, Bachelor of Applied Science, Computer Engineering, Shahid Beheshti University, Iran

Selected Publications

For a more comprehensive list of publications, please see the Publications section.

Recent News

  • December 2021 - Three papers accepted to the 7th Annual Conference on Vision and Intelligent Systems (CVIS 2021)!
  • December 2021 - Invited to conduct technical evaluation for Creative Destruction Lab.