497851profile14550560811459954572<![CDATA[Greg Eisenhauer]]>
Greg Eisenhauer is a research scientist in the School of Computer Science in the College of Computing at the Georgia Institute of Technology, a member of the Center for Experimental Research in Computer Systems (CERCS) and an associate of the Korvo Research Group. His research focuses on data-intensive distributed applications in enterprise and high-performance systems. Technical topics of interest include: high-performance I/O for petascale machines; efficient methods for managing large-scale systems, techniques for runtime performance and behavior monitoring, understanding and control; middleware for high-performance data movement and in transit data processing, QoS-sensitive data streaming in pervasive and wide-area systems, and experimentation with representative applications in the high-performance computing and enterprise domains. Eisenhauer received his bachelor's and master's degrees from the University of Illinois at Urbana-Champaign and his Ph.D. from Georgia Tech. His thesis work demonstrated object-based methods for efficient program monitoring and steering of distributed and parallel programs using event-based monitoring techniques and code annotations.