Congratulations to eight engineering & computer science students who were awarded $2,500 each in research funding this semester from the Northwestern Mutual Data Science Institute (NMDSI).
A partnership among UWM, Marquette University and Northwestern Mutual, NMDSI aims to establish Wisconsin as a national hub for data science. Through its competitive Student Research Scholars initiative, the NMDSI has supported more than 100 semester-long projects at UWM and Marquette since fall 2023.
Eligible projects focus on five specific areas: artificial intelligence; AI and data bias and ethics; behavioral economics; financial literacy; and health and wealth inequities. Four other UWM awards were made to students in other colleges.
This semester’s student scholars and their faculty advisors include:
Tianyang Xiong
“Robust Traffic Measurements Through Roadside Cameras.”
Tian Zhao, associate professor, Computer Science
Mohammad Assadi Shalmani, Biomedical and Health Informatics
“A Multi-Agent Framework for Interpretable Heart Failure Risk Prediction from Literature-Grounded Clinical Graph Features.”
Jake Luo, associate professor, Health Informatics & Administration
Anthony Nguyen, Biomedical Engineering
“Machine Learning-Based Prediction of Hand-rim Forces During Manual Wheelchair Propulsion.”
Brooke Slavens, professor, Mechanical and Biomedical Engineering
Sammie Omranian, Computer Science
“Developing and Validating an AI-Assisted Framework for Automated Fidelity Assessment of Brief Action Planning.”
Susan McRoy, professor, Computer Science
Motakkabir Hossain, Computer Science
“Creating an AI-Enabled Analysis Pipeline for Audio Recordings of Health Coaching to Promote Physical Activity for Patients with Knee Osteoarthritis.”
Susan McRoy, professor, Computer Science
Md Samiul Haque Sunny, Biomedical and Health Informatics
“A Shared AI Framework for Clinician-in-the-Loop Monitoring and Decision Support Across Robotic Rehabilitation Platforms.”
Habib Rahman, professor, Mechanical and Biomedical Engineering
Md Mahafuzur Rahaman Khan, Mechanical Engineering
“AI-Adaptive Serious-Game Robotic Rehabilitation for Personalized Home-Based Upper-Limb Recovery After Stroke.”
Habib Rahman, professor, Mechanical and Biomedical Engineering
AmirSajjad Taleban, Biomedical and Health Informatics
“Knowledge-Grounded Agentic AI for Explainable ECG Interpretation.”
Jake Luo, associate professor, Health Informatics & Administration