Ross Gruetzemacher


FCB 313
Office Hours
Tuesday , Thursday 3-4 pm
 Ross Gruetzemacher

About Ross Gruetzemacher

Dr. Gruetzemacher's research interests focus on business applications of AI, decision making, forecasting and the management of AI and its impact on society. His teaching interests focus on data science, big data and the management and development of AI technologies in organizations. Dr. Gruetzemacher has developed courses in big data and data science, leading multiple student teams to national conferences to compete and present their classroom big data projects.

Dr. Gruetzemacher received his PhD from Auburn University in 2020. Prior to this he worked as a data scientist and he completed his master's and undergraduate degrees at UT Chattanooga in computational engineering and mechanical engineering, respectively. He has studied as a visiting researcher at the University of Cambridge and has spoken on his research at institutions including the University of Oxford, the European Commission's Joint Research Center and the Georgia Institute of Technology. He has presented his research at information systems and AI conferences throughout the world, and has been published in leading data science journals such as the Journal of the American Medical Informatics Association and Big Data and Cognitive Computing.


Doctor of Philosophy, Auburn University
Master of Science, The University of Tennessee at Chattanooga
Bachelor of Science Mechanical Engineering, The University of Tennessee at Chattanooga

Teaching Interests

Dr. Gruetzemacher currently teaches Critical Thinking for Analytics and Website Design and Development. He is developing an analytics course for the MBA program to begin in spring of 2021. He enjoys teaching courses on business analytics, advanced analytics and AI management and governance.

Research Interests

Dr. Gruetzemacher's research foci all concern advanced analytics and AI. He is currently working on research involving advanced applications of natural language processing for business analytics and language user interfaces. He is also interested in technological forecasting, decision making and strategic management of AI impacts and risks.

Selected Research

• R. Gruetzemacher. Forecasting Extreme Labor Displacement: A Survey of AI Practitioners. Technological Forecasting and Social Change. 2020.

• R. Gruetzemacher. A Holistic Framework for Forecasting Transformative AI. Big Data and Cognitive Computing. 2019.

• R. Gruetzemacher. A. Gupta, D. Paradice. 3D Deep Learning for Lung Cancer Detection. Journal of the American Medical Informatics Association. 2018.