Dr. Evans works to understand the mechanisms that create performance degradation in distributed computing systems. His recent research has included the impact of network performance degradation on parallel application run time. He has developed a framework that characterizes this sensitivity on high performance computing systems without the need to instrument the application itself. The framework can also be used by cluster system administrators to characterize and evaluate their networks. He also applies his research in adaptive computing systems to the areas of sensor networks in hydrologic applications and human physical activity monitoring. His latest explorations include performance management of large-scale distributed hardware-in-the-loop simulations of vehicles, molecular dynamics simulations of nano-scale machining operations used in manufacturing, and molecular dynamics simulations of fire events. Most recently Dr. Evans has been investigating hardware-in-the-loop simulations of data networks used in real-time applications related to audio and video delivery in live performance situations. He is also currently investigating the use of artificial intelligence for use in music composition and performance.

Purdue University