Research Laboratories Richard Campbell Richard Campbell Research Associate Professor (2004) Cascade Microtech, Inc. Ph.D. 1984, University of Washington John Carruthers John Carruthers Distinguished Professor of ECE and Physics Nanoelectronics and Nanometrology Ph.D. 1967, University of Toronto Lee Casperson Lee Casperson Professor Emeritus (1983), IEEE Fellow (1995) Optics and Lasers Ph.D. 1971, California Institute of Technology Malgorzata Chrzanowska-Jeske Malgorzata Chrzanowska-Jeske Professor (1989) & Department Chair (2004) Design Automation Ph.D. 1988, Auburn University W. Robert Daasch W. Robert Daasch Professor (1986) IC Design & Test Ph.D. 1982, University of Washington Mark Faust Mark Faust Assistant Professor (2004) Computer Architecture M.S.E.E. 1981, Carnegie-Mellon University Garrison Greenwood Garrison Greenwood Associate Professor (2000) Computational Intelligence Ph.D. 1992, University of Washington Douglas V. Hall Douglas V. Hall Associate Professor (Emeritus) (1995) Computer Architecture Ph.D. 1995, Portland State University Dan Hammerstrom Dan Hammerstrom Professor (2004), Associate Dean for Research (2005) Biologically Inspired Nanoelectronics Ph.D. 1977, University of Illinois, Urbana-ChampaignAssociate Dean for Research Melinda Holtzman Melinda Holtzman Instructor (2005) Electromagnetics Ph.D. 2002, University of Nevada, Reno Y. C. Jenq Y. C. Jenq Professor (1990), IEEE Fellow (1993) Digital Signal Processing Ph.D. 1976, Princeton University Jun Jiao Jun Jiao Professor (1999) Nanotechnology Ph.D. 1997, University of Arizona George G. Lendaris George G. Lendaris Professor (1983), IEEE Fellow (1983) Computational Intelligence Ph.D. 1961, University of California, Berkeley Fu Li Fu Li Professor (1990) Communications Ph.D. 1990, University of Rhode Island James McNames James McNames Associate Professor (1999) Signal Processing Ph.D. 1999, Stanford University Melanie Mitchell Melanie Mitchell Professor of ECE and Computer Science Intelligent Systems and Machine Learning Ph.D. 1990, University of Michigan James E. Morris James E. Morris Professor (2001), IEEE Fellow (2000) Nanoelectronics Packaging Ph.D. 1971, University of Saskatchewan, Canada Siva Narendra Siva Narendra Research Associate Professor (2006) Tyfone, Inc. Ph.D. 2002, Massachusettes Institute of Technology Betsy Natter Betsy Natter Instructor (2004) Microelectronics M.S. 1998, Oregon Graduate Institute Branimir Pejcinovic Branimir Pejcinovic Associate Professor (1992) Microelectronics Ph.D. 1990, University of Massachusetts, Amherst Marek A. Perkowski Marek A. Perkowski Professor (1983) Intelligent Robotics Ph.D. 1980, Technical University of Warsaw, Poland Shalini Prasad Shalini Prasad Assistant Professor (2004) Bio-Nanotechnology Ph.D. 2004, University of California, Riverside Jack C. Riley Jack C. Riley Associate Professor Emeritus (1962) Erik Sanchez Erik Sanchez Assistant Professor of ECE and Physics Ph.D. 1999, Portland State University Rolf Schaumann Rolf Schaumann Professor Emeritus (1988), IEEE Fellow (1986) Analog Circuit Design Ph.D. 1970, University of Minnesota Gerald B. Sheblé Gerald B. Sheblé Maseeh Professor (2006), IEEE Fellow (1988) Energy Systems Ph.D. 1985, Virginia Polytechnical Institute Raj Solanki Raj Solanki Professor of ECE and Physics Nanotechnology Ph.D. 1982, Colorado State University Xiaoyu Song Xiaoyu Song Professor (1998) Formal Verification Ph.D. 1991, University of Pisa, Italy Allen Taylor Allen Taylor Instructor (2003) Network Architecture M.S.E.E. 1970, San Diego State University Richard Tymerski Richard Tymerski Associate Professor (1988) Power Electronics Ph.D. 1988, Virginia Polytechnic Institute and State University Paul Van Halen Paul Van Halen Associate Professor (1985) Analog Circuit Design Ph.D. 1981, Katholieke Universiteit Leuven, Belgium Lisa M. Zurk Lisa M. Zurk Associate Professor (2004) Electromagnetics & Acoustics Ph.D. 1995, University of Washington Visiting Faculty Bruce Lusignan, Stanford University Communications Engineering, International Development Ph.D. 1963, Stanford University Bruce Lusignan Adjunct Alan Coppola VLSI Synthesis Ph.D./M.A. 1979, SUNY at Binghamton, New York Alan Coppola Christopher Pan Christopher Pan Circuit Design Ph.D. 2002, University of Illinois, Urbana-Champaign Tom Waters Tom Waters Energy Systems B.S. 1970, Oregon State University Heng Xiao Heng Xiao Image Processing Ph.D. 1999, Portland State University Analog Circuit Design and Test (FAB 60-22) A 300-sqft laboratory is available to design discrete or integrated filters and test their performance. The laboratory has workstations and the necessary design and simulation software (Cadence, Mentor Graphics, Tektronix Analog Design System (ADE), Magic, SPICE). Test and measurement equipment to permit measuring the frequency response of filters from DC to several GHz is available. Our lab is closely affiliated with the IC Design and Test Lab. Biomedical Micro Devices And Nanotechnology Laboratory The focus of this laboratory is to develop "Detect-to- Warn" and "Detect-to-Treat" Sensors by amalgamating Micro and Nano fabrication technologies with Photonics, Electronics, Micro fluidics and Biology, towards integration on a wireless transmission platform. The goal of this research group is to address the local and regional needs for sensing, testing and diagnostic tools. Biomedical Signal Processing Laboratory The mission of the BSP lab is to increase our collective knowledge of how useful information can be extracted from physiologic signals. We primarily focus on clinical projects in which the extracted information can help physicians make better critical decisions and improve patient outcome. Digital Signal Processing Laboratory A 250-sqft laboratory is available for students to design a complete DSP based electronic system. The DSP Lab has 9 DSP development stations. Each station is equipped with a Tektronix function generator, a Tektronix oscilloscope, a PC and a Texas Instruments TMS320c31 DSP development system. Evolvable Systems Laboratory The purpose of this lab is to investigate how hardware can self-adapt, via autonomous reconfiguration, to compensate for failures or a changing operational environment. The methods used rely heavily on the use of evolutionary algorithms, which emulate natural selection as found in nature, to modify reconfigurable hardware. The emphasis of current work is to explore reconfiguration as a fault recovery method for autonomous hardware.