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Yehia Massoud receives CAREER Award March 31, 2005 --The Electrical and Computer Engineering Department is extremely proud of Assistant Professor Yehia Massoud's National Science Foundation (NSF) Faculty Early Career Development (CAREER) award. Massoud proposed an integrated automation strategy for interconnect design in his winning proposal. The proposal presents a new paradigm for mixed-signal that provides excellent solutions for the immediate and the long-term future of integrated circuits. Due to aggressive technology scaling and increasing operating
frequencies, interconnect has become the main performance limiting
factor in integrated circuits. Consequently, interconnect synthesis
plays a vital role in facilitating today's mixed-signal designs, but
current design automation techniques fail to include deep sub-micron
interconnect effects directly into the synthesis process, says
Massoud. To promote synthesis strategies that handle the increased
complexity of mixed-signal nanoscale integrated circuits, we are
developing a new interconnect synthesis paradigm that evaluates the
circuit signal integrity and performance during interconnect
synthesis. In the new paradigm proposed by Dr. Massoud, interconnect in
mixed-signal systems is modeled, optimized and synthesized taking all
aspects of the system's interconnect into account including analog
interconnect structures and integrated components as well as
interconnect in digital portions of the design. To facilitate and
develop the new system-oriented interconnect synthesis paradigm for
mixed-signal nanoscale ICs, Dr. Massoud and his research group will
research and create analytical modeling, optimization and synthesis
methodologies that facilitate generalized design automation in
integrated mixed-signal and system-on-chip designs. The system-oriented
interconnect synthesis strategies will utilize statistical modeling
methodologies incorporating inductance to produce layout that meets
design constraints. Yehia Massoud is an Assistant Professor of Electrical and Computer Engineering and Computer Science at Rice University. He is the principle investigator of the Rice Automated Nanoscale Design Group, RAND. He received his PhD degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 1999. He was a member of the Technical Staff at the Advanced Technology Group at Synopsys Inc., Mountain View, CA from 1999 to 2003. His current research interests are in developing automated design strategies that integrates powerful multi-scale computational techniques which are used to rapidly develop, verify, and implement high-performance Systems-On-Chip, as well as emerging applications in Nanotechnology and Biotechnology. |
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