This semester, thirteen teams of Stony Brook faculty will receive funds from Stony Brook University’s AI SEED Grant Program. Ten of those teams involve faculty or graduate students from the Department of Computer Science.

The winning proposals were selected from nearly 50 applications. They will expand Stony Brook’s interdisciplinary work in artificial intelligence, support technical integration of AI into new research projects, and help faculty explore how to continue to integrate AI into education and service.

Congratulations to the winning teams! Learn more about the projects.

Interdisciplinary Projects:

A Pragmatic Approach to AI for Digital Media Integrity: Combating Complex Misinformation through Fallacies and Propaganda
Ritwik Banerjee, research assistant professor, Department of Computer Science, College of Engineering and Applied Sciences (CEAS)
Ruobing Li, associate professor, School of Communication and Journalism (SoCJ)

Molecular Foundations for Sustainability: Data Analytics for Sustainable Cellulose Scaffolding Modifications to Remediate Diverse Water Contamination Challenges
Benjamin Hsiao, SUNY Distinguished Professor, Department of Chemistry, College of Arts and Sciences (CAS)
Niranjan Balasubramanian, assistant professor, Department of Computer Science, CEAS
I.V. Ramakrishnan, professor and associate dean for research, Department of Computer Science, CEAS

Novel Clinical Applications of Deep Image Prior-based CT Image Reconstruction 
Xin Qian, clinical assistant professor, Department of Radiation Oncology, Renaissance School of Medicine (RSoM)
Tiezhi Zhang, professor, Department of Radiation Oncology, RSoM
Ziyu Shu, senior postdoctoral associate, Department of Radiation Oncology, RSoM
Zhaozheng Yin, SUNY Empire Innovation associate professor, Department of Computer Science, CEAS

Technical Integration Projects:

Using AI to Investigate National Literatures: Italy, France, Spain 1733 - 1794
Giuseppe Gazzola, associate professor, Department of Languages and Cultural Studies, CAS
AI consultant: Jayesh Rathi, computer science graduate student

Learning Design Rules to Personalize Precision CRISPR Gene Therapies with Interpretable AI
Eric Josephs, SUNY Empire Innovation associate professor, Department of Biomedical Engineering, CEAS
AI consultant: Deboparna Banerjee, computer science graduate student

Machine Learning for the Analysis of Single-Cell Multiomics Data
David McKinnon, professor, Department of Neurobiology and Behavior, CAS
Barbara Rosati, research assistant professor, Department of Physiology and Biophysics, RSoM
Joshua Dubnau, professor, Department of Anesthesiology, RSoM
Grigori Enikolopov, professor, Department of Anesthesiology, RSoM
Chi-Kuo Hu, assistant professor, Department of Biochemistry and Cell Biology, CAS
AI consultant: Deboparna Banerjee, computer science graduate student

Developing Machine Learning Approaches to Classify Internal Waves
Jack McSweeney, assistant professor, School of Marine and Atmospheric Sciences (SoMAS)
AI consultant: Vismay Vora, computer science graduate student

AI-Assisted Analysis of Materials in Recycling Streams
Ruwen Qin, associate professor and graduate program director, Department of Civil Engineering, CEAS
AI consultant: Vismay Vora, computer science graduate student

Introducing the AI Techniques in Assessing Future Changes of Extreme Precipitation and Associated Flood Risks
Kevin Reed, associate provost for climate and sustainability programming and professor, SoMAS
Tangnyu Song, postdoctoral researcher, SoMAS
Ishrat Dollan, postdoctoral researcher, SoMAS
AI consultant: Jayesh Rathi, computer science graduate student

AI in Teaching and Service:

IAE2^3: AI Ecologies
Joseph Lemelin, assistant professor, Department of Philosophy, CAS
Katherine Johnston, assistant professor, Department of English, CAS
Aruna Balasubramanian, associate professor, Department of Computer Science, CEAS
Matthew Salzano, IDEA Fellow, SoCJ