Public health systems often face a difficult challenge when time, funding, and resources are limited: who should receive care first? These decisions are complicated further by differences in patient needs, disease progression, and social factors like access to care.

Using a system of artificial intelligence (AI) models, School of CSE Assistant Professor Kai Wang and Professor B. Aditya Prakash lead a team that can help clinicians deliver the right intervention to the right patient at the right time.

Their system uses Restless Multi-Armed Bandit (RMAB) models. While the name is technical, the idea is simple. The RMAB framework helps decision-makers choose the best actions over time when conditions are complex and constantly changing.

This project will tackle Type 2 Diabetes (T2D), building on previous experience expanding RMAB models to support maternal health care in India. Success on this front could lead to treating other chronic illnesses, like hypertension, heart disease, kidney disease, and mental health.

Recognizing the RMAB system’s potential, the National Institutes of Health (NIH) awarded the group an R01 grant. The award will fund the project with $1.2 million through 2029.

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Your Source for CSE Events

November 6
CSE Seminar Series: 
Min Wang
Coda Building, Room 230
2:00 - 3:00 p.m.

November 15-20
SC26
Chicago

November 25
Student Recess
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November 26-27
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December 7-8
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December 11
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Check back with the CSE calendar for new event postings as available.

School of CSE Ph.D. students Feiyang Wu and Chenxiao Gao led work that won first place for best paper at the CompRobotis Workshop, part of the International Conference on Intelligent Robots and Systems (IROS 2026), held Sept. 27-Oct. 1 in Pittsburgh. Advised by School of CSE Assistant Professors Anqi Wu and Bo Dai, both groups collaborated with Georgia Tech researchers Chen Yang and Associate Professor Ye Zhao on learning expressive and compositional motion representation via spectral skills. 

School of CSE Ph.D. student Aeree Cho first-authored a paper selected as a best short paper honorable mention at the 2026 IEEE Visualization and Visual Analytics Conference (VIS 2026), occurring Nov. 9-13 in Boston. Advised by School of CSE Professor and Associate Chair Polo Chau and co-authored by Ph.D. students Alex Greenhalgh, ShengYun (Anthony) Peng, and high school student Jonathan Bodea, the group present UNIPO: the first interactive visualization tool that exposes the token-level training dynamics of RL fine-tuning algorithms through a unified design.

School of CSE Professor Edmond Chow authored a new textbook, Data Science: A First Course in Machine Learning. The textbook is published through the Society for Industrial and Applied Mathematics (SIAM), which Chow is a fellow, the vice president for programs, and vice chair of the SIAM Activity Group on Computational Science and Engineering.

School of CSE Assistant Professor Peng Chen released GeoSWE, an open-source library for continental scale flood simulation. It is the first flooding code that scales to trillions of cells with 98% efficiency in 1,024 GPUs.

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