Current and Past Funded Research:
Advanced Logic Circuits & Systems
- Quantum Immunological Computing, KOSEF, Republic of Korea.
- A Multi-Level Logic Optimization Program which Generates Optimal Mix of AND, OR, and EXOR Gates, National Science Foundation.
- Use of FPGA Hardware Emulator and VHDL to Teach Digital Design, National Science Foundation.
- Design Automation Tools for Field Programmable Analog Gate Arrays, SIGDA/IEEE Design Automation.
- System for Designing Concurrent Finite State Machines, SIGDA of ACM Design Automation.
- Methods and Algorithms for the High-Level Behavioral Front-End to the Sharp Microelectronics Technology Design Automation System, Sharp Microelectronics Technology.
- Logic Minimization System for Programmable Logic Arrays Based on Graph Coloring, Honeywell Solid State Division, Minneapolis, MN.
- Design Automation for VLSI, 3M Corporation, Minneapolis, MN.
- Design Automation System DIADES and Logic Design Machine, ACM.
Back to Research Activities
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Jeff Hoffman & Don Tornquist have been chosen for the 2009-2010 ECE Undergraduate Honors Program. The program enables undergraduates to go beyond their normal studies to work with faculty in the area of their choice: research, entrepreneurship or innovation.
Dr. Robert Daasch has won the Semiconductor Research Corporation 2009 Technical Excellence Award. It is the second highest research award in the SRC. The Technical Excellence Award was established as an incentive and recognition program for research of exceptional value to GRC members. Authorized by the Board of Directors in December 1991, the award is intended to complement the Inventor Recognition Award. The Technical Excellence Award is shared among key contributors for innovative technology that significantly enhances the productivity/
competitiveness of the semiconductor industry. To date 25 research efforts have received the award. The 2008 Technical Excellence Award was presented to a team of researchers from Portland State University led by Professor W. Robert Daasch, and supported by students Liwei Ning (PhD 2009), and Amit Nahar (MS 2006) for their research, "Burn-in Reduction: Improving Outlier Screening".
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