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Dr. J. Greg Nash

Curriculum Vitae

Education

 

Princeton University                            Basic Engineering                    BSE 1968

UCLA                                                Electrical Engineering              MS 1970

UCLA                                                Electrical Engineering              Ph. D 1974

UCLA (Post-Doctoral)                        Solid State Devices                 1974-1975

 

Employment

  • Centar, Los Angeles, California:  President, 1994 to present

  • Hughes Research Labs, Los Angeles, California: 1975-1993

    • 6/92-6/93, Laboratory Chief Scientist

    • 6/84-5/92, Head of the Information Processing and Computer Architecture Department

    • 9/75-5/84, Member of the Technical Staff and Senior Staff Scientist

Experience

 

Dr. Greg Nash has 38 years of experience working in the areas of parallel algorithm design, signal and image processing algorithms, systolic arrays, parallel computing architectures, system design, ASIC design, computer arithmetic, semiconductor devices and device physics. He has over 70 technical publications, primarily dealing with signal processing algorithms, architectures, tools and systems and has 10 issued patents.

From 1996-2002 at Centar he successfully lead the development team that created the Symbolic Parallel Algorithm Development Environment (SPADE) tool.  This is the only tool in existence that allows a designer to easily and rapidly explore the design space of latency-optimal parallel signal processing circuit implementations.  Presently he has an NSF contract to develop a specialized FFT for wireless applications.

At Hughes Research Labs he received two best paper awards in 1988 and 1991 and he received the Hughes Group Patent award at Hughes Research Labs in 1989.  He developed the Systolic/Cellular Processor for use in airborne radar systems.  It contained a 16x16 array of custom 32-bit ASICs which he designed, and was built to support efficient computation of algorithms from FFTs to complex linear algebraic operations.  The system was delivered to the University of Pennsylvania as part of a joint NSF program with their robotics laboratory to speed up matrix-based computations.  He was also co-inventor of the Image Understanding Architecture (IUA), an application specific, heterogeneous, associative, massively parallel processor intended to support the complete range of 2-D sensor processing requirements.  This system was developed jointly with the University of Massachusetts (DARPA funded) to support their image understanding research programs and led to successful first and second generation prototype machines in 1990 and 1994. As part of these efforts he has developed a large number of parallel algorithms tailored to make use of these architectures' special features.

Finally, he has been active professionally, serving as Chairman of the IEEE VLSI Signal Processing Committee from 1986 to 1988 and editor of the J. of VLSI Signal Processing and has been on the organizational committees of 10 signal/image processing workshops.