Areas of Interest
- Software Engineering
- Data Science
- Digital Archaeology
- PhD in Statistics, Carnegie Mellon University, Pittsburgh, PA, 1994
- MS in Applied Mathematics, Moscow Institute of Physics and Technology, Moscow, 1991
- BS in Applied Mathematics, Moscow Institute of Physics and Technology, Moscow, 1988
Audris Mockus received BS and MS degrees in applied mathematics from the Moscow Institute of Physics and Technology in 1988, the MS degree in 1991 and a PhD degree in statistics from Carnegie Mellon University in 1994. He studies software developers’ culture and behavior through the recovery, documentation, and analysis of digital remains. These digital traces reflect projections of collective and individual activity. He reconstructs the reality from these projections by designing data mining methods to summarize and augment these digital traces, interactive visualization techniques to inspect, present, and control the behavior of teams and individuals, and statistical models and optimization techniques to understand the nature of individual and collective behavior. He is the Ericsson-Harlan Mills Chair Professor in the Department of Electrical Engineering and Computer Science of the University of Tennessee. He also continues to work part-time at Avaya Labs Research. Previously he worked in the Software Production Research Department at Bell Labs. He is a member of the IEEE and ACM.