Artificial Intelligence & Data Science for Public Good
Artificial Intelligence and data science are predicted to affect the most fundamental changes to the world’s economy since the steam engine. The Ritchie School is growing our faculty to build core capability for a new University-wide initiative around AI for the Public Good. This initiative focuses on critical policy, ethical, legal and business issues in addition to basic algorithmic, machine learning, data science, and computer vision AI and data science work. Research is conducted in a range of specific application areas, all geared towards leading us to the future of work and Industry 4.0.
Key Faculty
- Teaching Professor Jeffrey Edgington, PhD - CS
- Assistant Professor Rui Fan, PhD - ECE
- Associate Professor & Chair Chris GauthierDickey, PhD - CS
- Professor and Senior Assoc. Dean Haluk Ogmen, PhD - ECE
- Professor Mohammad Mahoor, PhD - ECE
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Professor Mohammad Mohoor and PhD candidate Behzad Hasani created AffectNet, a facial expression recognition database. Their paper on AffectNet won the 2019 IEEE Transactions in Affective Computing Award for most influential paper.
