Current and Past Funded Research:
Design and Verification of Hardware/Software Systems

  • Scalable Co-Verification Based on Hardware IPs and Software Component, SRC
    The objective of the project is to develop a component-based approach to scalable hardware and software co-verification of embedded systems using model checking, which unifies the concepts of hardware IPs and software components, leverages advances in assertion-based verification, extends effectiveness of compositional model checking for system-level co-verification, and facilitates verification reuse.
  • Formal Verification by Generalized Symbolic Trajectory Evaluation, Intel
    Generalized symbolic trajectory evaluation (GSTE) is an extension of symbolic trajectory evaluation (STE). STE can handle large, industrial design and has been actively used in Intel, HP, IBM, and Motorola. GSTE was originally developed at Intel and has successfully demonstrated its powerful capacity in formal verification of digital systems. The goal of the project is to enhance the GSTE verification capability for complex system designs.

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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.

Robert Daasch

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".