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Ronald DeMara

Professor

Department: Electrical & Computer Engineering
Email: Ronald.Demara@ucf.edu
Phone: 407-823-5916
Office: L3Harris Engineering Center Room 310
Website: http://cal.ucf.edu/demara
Resume: Download CV

Research Interests: Computer Architecture, Evolvable Hardware, Fault-tolerant Logic Design

  • Ph.D. University of Southern California Computer Engineering
ucf
  • Professor
editorial
  • Associate Editor of IEEE Transactions on Computers
leadership
  • Computer Engineering Program Coordinator

  • R. A. Ashraf and R. F. DeMara, “Scalable FPGA Refurbishment using Netlist-driven Evolutionary Algorithms,” IEEE Transactions on Computers, vol. 62, no. 8, pp. 1526 – 1541, August 2013.

  • N. Imran, J. Lee, and R. F. DeMara, “Fault Demotion Using Reconfigurable Slack (FaDReS),” IEEE Transactions on VLSI Systems, vol. 21, no. 7, pp. 1364–1368, July 2013.

  • C. A. Sharma, A. Sarvi, A. Al-Zahrani, and R. F. DeMara, “Self-Healing Reconfigurable Logic using Autonomous Group Testing,” Microprocessors and Microsystems, Volume 37, Issue 2, March 2013, pp. 174 – 184.

  • N. Imran, R. F. DeMara, J. Lee, and J. Huang, "Self-Adapting Resource Escalation for Resilient Signal Processing Architectures," Journal of Signal Processing Systems, pp. 1-24, July, 2013 doi: 10.1007/s11265-013-0811-x

  • R.S. Oreifej and R.F. DeMara, “Intrinsic Evolvable Hardware Platform For Digital Circuit Design And Repair Using Genetic Algorithms,” Applied Soft Computing, 2012, doi:10.1016/j.asoc.2012.03.032, Vol. 12, Issue 8, August 2012, pp. 2470 – 2480.

  • R.S. Oreifej and R.F. DeMara, “Intrinsic Evolvable Hardware Platform For Digital Circuit Design And Repair Using Genetic Algorithms,” Applied Soft Computing, 2012, doi:10.1016/j.asoc.2012.03.032, Vol. 12, Issue 8, August 2012, pp. 2470 – 2480.

  • R.S. Oreifej and R.F. DeMara, “Intrinsic Evolvable Hardware Platform For Digital Circuit Design And Repair Using Genetic Algorithms,” Applied Soft Computing, 2012, doi:10.1016/j.asoc.2012.03.032, Vol. 12, Issue 8, August 2012, pp. 2470 – 2480.