Business Professor Named IEEE Next-Generation Data Scientist

October 29, 2020

Each year, the IEEE International Conference on Data Science and Advanced Analytics (DSAA) offers a limited number of next-generation data scientist awards to data analysts who earned their doctorates in statistics, machine learning, artificial intelligence and related fields within the last five years. The award is a global initiative to support the advancement and certification of qualified next‐generation data scientists. This year, in a unanimous decision, ChuanRen (Charles) Liu, a professor of business analytics and statistics in the Haslam College of Business at the University of Tennessee, Knoxville, has been designated as a recipient.

Additional criteria for receiving the award include a strong track record of quantifiable and outstanding theoretical contributions, business impact and/or educational contributions and an attainable five-year plan for significantly contributing to the data science community with research, innovation, applications or education.

“It is a tremendous honor to be recognized with the next-generation data scientist award, which recognizes the need to promote more young researchers’ work,” Liu, whose research interests include data mining and machine learning with applications, said. “It strengthens my resolve to continue pushing the boundaries of data science forward.”

Liu’s award includes a cash honorarium and a certificate of recognition. He also will deliver a presentation to this year’s online DSAA conference.

“We are thrilled that Charles’ research in data science is being acknowledged with this prestigious honor, but we in the department are not surprised that his contributions are being celebrated by the international research community,” Mike Galbreth, head of the Department of Business Analytics and Statistics, said. “He is a leading scholar in this very exciting area.”

About the Department of Business Analytics and Statistics at UT’s Haslam College of Business

The Department of Business Analytics and Statistics’ mission is to create knowledge through research and to disseminate that knowledge through its degree programs. The faculty uses the results of its application-focused research to educate students on how to produce positive change within organizations by emphasizing soft skills such as communication and team-building alongside the targeted and effective use of analytics. The department’s continually evolving curriculum draws upon state-of-the-art theoretical and practical content from the fields of statistics, machine learning and operations research.

About the IEEE International Conference on Data Science and Advanced Analytics

Now in its seventh year, the IEEE International Conference on Data Science and Advanced Analytics is the only data science event that receives joint sponsorship and support from IEEE, ACM, ASA and IEEE Big Data Initiative, in addition to other sponsorship.


Scott McNutt, business writer/publicist,