Skip to content Skip to main navigation Report an accessibility issue
Jianxin Xie standing on a stairwell

Xie Applies Machine-Learning Models to Improve Health Care

PhD student Jianxin Xie earned recognition as this year’s outstanding graduate student through her research in applying machine-learning models to health care needs. Her investigation seeks to benefit a variety of applications.

“My current research focuses on the development of physics-constrained machine learning models that facilitate optimal decision-making in complex health care systems,” said Xie.

Her earlier research developed a similar learning framework to address heart health issues.

“This method integrates physics-based principles with the advanced deep learning infrastructure to predict the spatiotemporal system dynamics based on indirect and noisy sensor observations,” she said. “This methodology is implemented in inverse electrocardiography modeling, which generates a robust prediction of electrical potential mappings on the heart surface based on body-surface sensor measurements.”

At the 2021 IISE Annual Conference her work earned the Best Poster award in both the Quality Control and Reliability Engineering track and the Data Analytics and Information Systems track of the student poster competition, and she was runner-up for the Best Paper Award in the Operations Research track. She appreciates the positive accolades for her
contributions.

“Being chosen as an outstanding graduate student is a significant recognition of my hard work, dedication, and achievements in my academic pursuits,” said Xie. “It means a great deal to me to be acknowledged by the department.”

She is active in the Institute of Operations Research and Management Sciences and presents at its annual conference.

“I have served as vice president of the INFORMS student chapter at Oklahoma State University before I joined UT,” she said. “These experiences equipped me with leading and organizing skills. It further motivates me to contribute back to the campus community no matter where I am. I hold sincere gratitude for the education and the opportunities that I have received from UT.”

She also gives back by mentoring an undergraduate student, sharing her passion for research and contributing to the ISE community.

“My goal for the rest of my time at UT is to complete my research and meanwhile build long-lasting relationships with peers and faculty,” she said. “I aim to find a position that motivates my true passion upon graduation.”

Xie grew up in the small town of Xinyu, China, before beginning her studies in the US and making her way to Rocky Top. To balance out her research schedule, she enjoys playing piano, K-pop dance, photography, board games, and spending “lazy time” with her cats.

She credits the ISE department for providing a healthy range of academic resources, including direct support from Department Head John Kobza and other knowledgeable faculty, advanced PhD-level coursework, access to research opportunities, and a high-performance computational facility.

“I’m grateful for the education and opportunities I have received from the ISE department, and I will always cherish the memories and experiences I’ve gained here,” said Xie.

“I will continue to strive for excellence in my academic and research pursuits and continue to uphold the high standards of the ISE department.”


Contact

Randall Brown (865-974-0533, rbrown73@utk.edu)