Embedded systems, reconfigurable hardware, integrated program development and performance environments for parallel and distributed systems, visualization, performance monitoring and evaluation, engineering education
Core Research Areas: Computing and Network Systems; software systems
Strategic Research Area: Cyber infrastructure
Cao, Z., R. Mercado, and D. T. Rover. System-Level Memory Modeling for Bus-Based Memory Architecture Exploration. In Proc. IEEE International Conference on Electro/Information Technology , Windsor, Ontario, Canada, June 7-9, 2009: 239-244.
Rover, D. T., R. Mercado, Z. Zhang, M. Shelley, and D. Helvick. Reflections on Teaching and Learning in an Advanced Undergraduate Course in Embedded Systems. IEEE Trans. Education 51, no. 3, (August 2008): 400-412.
Rover, D. Integrative Learning. Academic Bookshelf, ASEE Journal of Engineering Education 96, no. 3, (July 2007): 275-277.
Santiago, N., D. Rover, and D. Rodriguez. A Statistical Approach for the Analysis of the Relation Between Low-Level Performance Information, the Code, and the Environment. Information 9, no. 3, (May 2006): 503-517.
Mina, M., A. Somani, A. Tyagi, D. Rover, M. Feldmann, and M. Shelley. Learning Streams: A Case Study in Curriculum Integration. In Proc. 35th ASEE/IEEE Frontiers in Education Conference , Indianapolis, IN, October 19-22, 2005.
Associate professor of mechanical engineering Song-Charng Kong is working with engineers at the U.S. Army Research Laboratory to study the fundamental physics of fuel spraying into diesel engines. This insight should allow for better predictions of engine performance and could lead to better fuel economy and power. The Defense Department is supporting the work with a five-year grant of $500,000 and one billion supercomputer hours.