AI Researcher Profiles
The emerging application of artificial intelligence (AI) to a diverse range of fields has positioned it as a valuable research tool. Stony Brook’s Institute for AI-Driven Discovery and Innovation hosts affiliate faculty from a wide variety of disciplines who are using machine learning to advance their research.
Arie Kaufman: Using Virtual Reality and Machine Learning to Improve the Pancreatic Cancer Prognosis
Part five of our AI Researcher Profile series invites Distinguished Professor Arie Kaufman of the Department of Computer Science, and CEWIT Chief Scientist, to discuss his innovative techniques for 3D virtual pancreatography, its applications to AI, machine learning, and ultimately, human life.
H. Andrew Schwartz: Social Media's Profound Ability to Predict Mental and Physical Health
Part four of our AI Researcher Profile series welcomes Professor H. Andrew Schwartz of the Department of Computer Science. Through his research, Professor Schwartz has bridged the worlds of psychology and artificial intelligence together in order to predict and diagnose the health of others.
Part three of our AI Researcher Profile series brings us to the Department of Electrical and Computer Engineering, (ECE) in the College of Engineering and Applied Sciences for a conversation with Petar Djuric, Professor and Chair of ECE about his theory and methods research and its application to machine learning.
In our second AI Researcher Profile, we spoke with Mónica Bugallo to learn how she uses AI in her research. Bugallo is a professor in the Department of Electrical and Computer Engineering in the College of Engineering and Applied Sciences (CEAS), Associate Dean for Diversity and Outreach for CEAS and Faculty Director for the Women In Science and Engineering (WISE) Honors program.
Anatoly I. Frenkel: Unlocking Elusive Design Rules with AI: Materials Science and Chemical Engineering Professor shares how AI Supports Research
In this, the first of our AI Researcher Profiles, we spoke to Professor Anatoly Frenkel of the Department of Materials Science and Chemical Engineering in the College of Engineering and Applied Sciences to learn how his research is benefitting from the use of AI and machine learning.