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.

   Dimitris Samaras: On Human Behavior Analysis and Biomedical Imaging

Part ten of our AI Researcher Profile series invites Professor Dimitris Samaras, SUNY Empire Innovation Professor and Director of the Computer Vision Lab at the Department of Computer Science, Stony Brook University, to discuss his research interests and knowledge surrounding human behavior and its role in artificial intelligence.

   Jeffrey Heinz: The Emphasis on Linguistics in AI

Part nine of our AI Researcher Profile series invites Professor Jeffrey Heinz of the Department of Linguistics and the Institute of Advanced Computational Science to discuss his research interest and knowledge surrounding linguistics and its role in artificial intelligence.

   Klaus Mueller: Empowering the Human

Part eight of our AI Researcher Profile series invites Professor Klaus Mueller of the Department of Computer Science to discuss his extensive work with Artificial Intelligence, and how he uses it to produce a human-machine relationship that enables the machine, but empowers the human. 

   Fusheng Wang: Wang Takes on the Opioid Epidemic      

Part seven of our AI Researcher Profile series invites Associate Professor Fusheng Wang of the Department of Computer Science and of the Department of Biomedical Informatics, to speak on his profound research efforts which are currently making inroads toward the ongoing    opioid epidemic.   

   Yifan Sun: Optimizing the Future

Part six of our AI Researcher Profile series invites Assistant Professor Yifan Sun of the Department of Computer Science, to speak of her ongoing collaborative research in optimization and machine learning.

   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.

   Petar Djurić: Machine Learning & Signal Processing Instrumental for AI Applications: Electrical and Computer Engineering Professor Describes How Signal Processing is at the Core of AI Technology

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.

   Mónica Bugallo: AI & Bayesian Inference for Complex Systems: Electrical and Computer Engineering Professor Talks About the Tools at the Center of AI Applications

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.