Texas Tech University

Assistant Professor in ISQS Area Recognized for Outstanding Dissertation

April Chavez

The prestigious award recognizes scholars in the field of Information Systems.

Shuo Yu with his award.

Shuo Yu, an assistant professor in the Information Systems and Quantitative Sciences area in the Jerry S. Rawls College of Business, was recently recognized as the third runner-up for the 2019 Nunamaker-Chen Dissertation Award.

The award was presented on October 20, during the 2019 Conference on Information Systems and Technology (CIST) in conjunction with the Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting in Seattle, Washington.

The prestigious award recognizes outstanding dissertation research by scholars in the field of Information Systems. The award was established in 2013 and is named in honor of two University of Arizona professors, Jay Nunamaker and Hsinchun Chen, who have made significant contributions to the field of Information Systems over the past several decades.

Yu's dissertation, "Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach" explored meaningful uses of high-velocity motion sensor data for senior care. It leveraged deep learning techniques to detect and predict adverse events, such as falling down, as well as to assess the progression of chronic conditions, such as Parkinson's disease. Yu's dissertation was an important first step in mobile health analytics in the Information Systems discipline.

Yu received his Ph.D. in Management Information Systems from the University of Arizona earlier this year. He currently teaches undergraduate-level Data Analytics Tools and graduate-level Big Data Security courses at Rawls College.