September 15, 2015

Xia Hu, a computer science engineer whose research focuses on big data, has joined the Center for Remote Health Technologies and Systems (CRHTS) at Texas A&M University.

As a researcher in the center, which is a member of the Texas A&M Engineering Experiment Station (TEES), Hu interested in utilizing machine learning to solve real-world health care problems, such as studying key factors in predicting risk of developing type 2 diabetes, predicting 30-day readmission rates to VA hospitals, and characterizing and predicting depression with social media. His research interests focus on data mining and machine learning with their applications on social informatics and health informatics.

Hu received his Ph.D. in computer science from Arizona State University. In addition to his research appointment at CRHTS, Hu is assistant professor in the Department of Computer Science and Engineering at Texas A&M and is affiliated with Phoenix VA Health Care System as a research co-investigator.

About the Center for Remote Health Technologies and Systems (CRHTS)

The Center for Remote Health Technologies and Systems is designing and developing advanced health technologies and systems to enable healthy living through health monitoring and disease diagnosis, management and prevention. The center’s mission is to identify and overcome the unmet needs of patients and health care providers through the development of breakthrough remote health care devices, biosignal mapping algorithms, remote health analytics and information systems that will improve access, enhance quality, and reduce the cost of health care.

About the Texas A&M Engineering Experiment Station (TEES)

As an engineering research agency of Texas, TEES performs quality research driven by world problems; strengthens and expands the state’s workforce through educational partnerships and training; and develops and transfers technology to industry. TEES partners with academic institutions, governmental agencies, industries and communities to solve problems to help improve the quality of life, promote economic development and enhance educational systems. TEES, a member of the Texas A&M University System is in its 100th year of engineering solutions.