Anahita Khojandi and Xiaopeng Zhao have been selected for the AAAS 2024-25 Science & Technology Policy Fellowship.
Policymaking Professors
UT Team Uses AI to Improve Sepsis Detection and Effective Treatment
A team of researchers developed a novel approach using an artificial intelligence model to better predict a sepsis diagnosis in patients.
Khojandi Awarded AI/ML Research Diversity Fellowship
Associate Professor Anahita Khojandi was recently awarded with a fellowship to the National Institute of Health’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program.
Khojandi Named Faculty Fellow for Heath Integrated Business and Engineering Program
Anahita Khojandi, associate professor in industrial and systems engineering, is the new Heath Faculty Fellow for the Heath Integrated Business and Engineering Program, joining Russell Zaretzki, counterpart Heath Fellow from the Haslam College of Business. The Heath Fellows take a lead role in cultivating connections across the business and engineering colleges. The fellows, like the […]
Innovators in Nuclear Engineering Receive Federal Accolades, Project Support
The US Department of Energy announced support for a PhD student and five faculty with innovative projects to improve nuclear power plant design and safety.
UT Team Develops Model to Predict Hernia Surgery Recovery Outcomes
Anahita Khojandi is working with researchers from the College of Nursing and the Haslam College of Business on predicting surgery outcomes.
The Problem Solver
“Most algorithms stop once they make the prediction,” she said. “But we take it a step further than anyone else by looking at the practical implications of what it means to monitor a patient.”
Engineering Better Health Care
“When collaborators bring the problems to me, I bring together a team,” said Li, who also codirects UT’s Health Innovation Technology and Simulation (HITS) Lab.