Areas of Interest
- Virtual Machines
- Operating Systems
- Program Optimization
- Performance and Power Efficiency
- PhD in Computer Science, University of Kansas, Lawrence, KS, 2014
- MS in Computer Science, University of Kansas, Lawrence, KS, 2010
- BS in Computer Science, University of Kansas, Lawrence, KS, 2008
Michael Jantz is an Assistant Professor in the EECS department at the University of Tennessee. He received his B.S. (2008), M.S. (2010) and Ph.D. (2014) degrees in Computer Science, all from the University of Kansas (KU). As a graduate student at KU, he became interested in research topics in compilers and runtime systems. In 2012, he began collaborating with researchers at Intel Corporation to develop novel memory management techniques that enable applications to use memory more efficiently. His current research explores innovative system tools and techniques to bring about faster, safer, and more efficient execution of software on modern architectures.
During his time at KU, Dr. Jantz taught six semesters as an assistant for the Introduction to Operating Systems course. He also served for three years as President of the KU Beta Chapter of Upsilon Pi Epsilon, an honors society that promotes and rewards high scholarship in computing disciplines. His current teaching mission at the University of Tennessee is to make computing science, especially large and complex software systems, accessible to young students.