Pamela Williams is a senior member of the technical staff in the Computational Sciences and Mathematics Research Department at Sandia National Laboratories. Her research interests include optimization, machine learning, and mathematical software design.

Dr. Williams earned a B.S. in mathematics from the University of Kentucky, and a M.A. and Ph.D. in Computational Applied Mathematics from Rice University. Williams' honors and awards include an Otis A. Singletary Scholarship, National Society of Black Engineers Fellow, AT&T Cooperative Research Fellowship, and Lawrence Livermore National Laboratory Education Outreach Award. She is a member of ACM, NAM, and SIAM. In addition, Dr. Williams was recently elected to a three-year term on the University of Kentucky Alumni Association's Board of Directors.

Mark A. Friedman is an Assistant Professor of Computer Science at Central Connecticut State University, where he consults, conducts research and teaches courses in networks and distributed processing, software engineering, and computer game technologies.

Prior to arriving at CCSU, Mark served as a consultant to and instructed computer scientists and engineers in object-oriented and distributed technologies, as the President and Founder of The Richard Roman Institute, and as the Chief Technology Officer of Mokonet, Inc. in New York City.

Mark spent six years at Trinity College in Hartford, CT as an Assistant Professor of Computer Science, after earning his Ph.D. in Computer Science from the University of Wisconsin-Madison specializing in computer architecture.

Teller received her B.A. (magna cum laude), M.S., and Ph.D. (1991) from New York University (NYU). Currently, as an Associate Professor at UTEP, she works with seven Ph.D. students, six Master's students, and two undergraduate students on research projects with support from the Department of Defense, Department of Energy (DoE), IBM Corporation, and National Science Foundation (NSF). Her current research focuses on the dynamic adaptation of applications, operating systems, and computer architectures for performance, performance evaluation methodologies, and parallel and distributed computing. She has published five journal and over forty conference articles. Teller has served as a program committee member numerous times and has been financial, tutorial, student volunteer, and poster chair for major conferences, and as a reviewer for the NSF and DoE. Currently (2003-2006) she is a member of the steering committee for the Supercomputing Conference series. Finally, Teller is an advocate of diversity and outreach; as such, she currently is the elected chair of the Coalition to Diversity Computing, CDC (2004-2005).

Elaine Weyuker is a researcher at AT&T Labs - Research in Florham Park, NJ who specializes in software testing, reliability, and metrics research and has written over 125 refereed papers in those areas. She is a member of the National Academy of Engineering, an IEEE Fellow, an ACM Fellow, and an AT&T Fellow, as well as the co-chair of the ACM Committee on Women in Computing (ACM-W), a member of the Board of Directors of the Computing Research Association, and is a member of the Coalition to Diversify Computing's Steering Committee. She was the 2004 recipient of the Harlan D. Mills Award, the Rutgers University Outstanding Alumni Award, and the AT&T Chairman's Award for Diversity. Before moving to AT&T, she was a computer science professor at the Courant Institute of Mathematical Sciences of New York University for many years.

Dr. Vladik Kreinovich received his M.S. in Mathematics and Computer Science from St. Petersburg University, Russia, in 1974, and Ph.D. from the Institute of Mathematics, Soviet Academy of Sciences, Novosibirsk, in 1979. In 1975-80, he worked with the Soviet Academy of Sciences, in particular, in 1978-80, with the Special Astrophysical Observatory (representation and processing of uncertainty in radioastronomy). In 1982-89, he worked on error estimation and intelligent information processing for the National Institute for Electrical Measuring nstruments, Russia. In 1989, he was a Visiting Scholar at Stanford niversity. Since 1990, he is with the Department of Computer Science, University of Texas at El Paso. Also, served as an invited professor in Paris (University of Paris VI), Hong Kong, St. Petersburg, Russia, and Brazil.

Main interests: representation and processing of uncertainty, especially interval computations and intelligent control. Published 6 books and more than 600 papers. Member of the editorial board of the international journal "Reliable Computing" (formerly, "Interval Computations"), and several other journals. Co-maintainer of the international website on interval computations.

Honors: Foreign Member of the Russian Academy of Metrological Sciences; recepient of the 2003 El Paso Energy Foundation Faculty Achievement Award for Research awarded by the University of Texas at El Paso.

Nina Berry received a B.S. in Computer Science at Mary Washington College. She went on to receive a M.S. in Computer Science and a Ph.D. in Industrial and Manufacturing Engineering at Penn State. Dr. Berry is currently a Principal Member of Technical Staff at Sandia National Laboratories. Dr. Berry researches software entities known as intelligent agents. In addition to her numerous publications, she chairs a standards committee for the Foundation for Intelligent Physical Agents. Because of her outstanding accomplishments, Dr. Berry has received a Women of Color Technology Award in Government and Defense for Educational Leadership in Government.

Monica Martinez-Canales is a senior member of the technical staff at Sandia National Laboratories where she engages in research on error estimation of numerical solutions of partial differential equations, design of experiments, Bayesian statistics, and uncertainty quantification.

Dr. Martinez-Canales holds a B.S. in Mathematics from Stanford University, an M.A. and a Ph.D. in Computational Applied Mathematics from Rice University. She completed an NSF Postdoctoral Fellowship in the Dept. of Geological and Environmental Sciences at Stanford University prior to joining Sandia National Laboratories.

Diane C. Jamrog is a technical staff member of the Advanced System Concepts group at Lincoln Laboratory, Massachusetts Institute of Technology. Her research involves developing mathematical models for a variety of problems, including models of radar systems and models of disease outbreaks given various combinations of public health responses.

Dr. Jamrog received her B.A. in Mathematics from Smith College. She received her M.A. and Ph.D. in Computational and Applied Mathematics from Rice University. She was a fellow of the W.M. Keck Center for Computational Biology from 1998-2002 while working on her interdisciplinary dissertation research. Prior to joining Lincoln Laboratory, she held a joint postdoc in the Biochemistry and Computational and Applied Mathematics departments at Rice University.

M. Brian Blake is currently an associate professor in the Department of Computer Science, Georgetown University, Washington, DC. He has published more than 50 journal articles and refereed conference papers in the domains of workflow and agent-based systems, service-oriented computing, distributed data management, and software engineering education. His work has appeared in journals such as the IEEE Transactions on Knowledge and Data Engineering, International Journal of Artificial Intelligence Tools, Annals of Software Engineering, Software: Practice and Experience, Decision Support Systems, and IEEE Transactions on Education. He is actively involved in mentoring underrepresented minorities in K-12 programs in the metro-DC area and served as the Director of Georgetown University's Minority Mentoring Program, a program aimed at encouraging minority students to enter academia. Dr. Blake received the BS degree in electrical engineering from the Georgia Institute of Technology, Atlanta, the MS degree in electrical engineering (minor in software engineering) from Mercer University, Atlanta, Georgia, and the PhD degree in information technology with a concentration in information and software engineering from George Mason University, Fairfax, Virginia.

Lorie M. Liebrock is an Assistant Professor of Computer Science at the University of New Mexico Tech. Her research interests include: high performance and parallel computing, automatic data distribution, well posedness analysis and information security. She received BS and MS degrees from Michigan Technological University. She received MS and PhD degrees from Rice University.

Robert E. Megginson is Professor of Mathematics and Associate Dean at the University of Michigan. He has recently returned to the University of Michigan after a two-year term as Deputy Director of the Mathematical Sciences Research Institute in Berkeley. He received his Ph.D. in functional analysis from the University of Illinois at Urbana-Champaign in 1984. Megginson has been active at the national level in programs to address the under-representation of minorities in mathematics. His recognitions for these efforts include the U.S. Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring in 1997 and the Ely S. Parker Award of the American Indian Science and Engineering Society in 1999. He has been named to the Native American Science and Engineering Wall of Fame at Southwestern Indian Polytechnic Institute in Albuquerque, and portrayed in 100 Native Americans Who Shaped American History by Bonnie Juettner, Bluewood Books, 2002.

Radha Nandkumar obtained her Ph. D. in physics from the University of Illinois at Urbana-Champaign, U.S.A. Her research interests in the areas of condensed matter physics, extrapolated to astrophysical systems, have extended to observational astronomy, theoretical modeling and computational science. She joined the staff of the National Center for Supercomputing Applications in Illinois in 1985 and has been with the Center since its inception. She has held various responsibilities at NCSA for enabling computational science research and has an in-depth knowledge of current trends in technology and advances in computational science. She has participated in NCSA's strategic planning, management, customer relationships, peer review processes and resource allocations. Most recently she also completed an Executive M.B.A. at the University of Illinois and is in charge of NCSA's Campus Faculty Relations and International Affiliations Program. She is a speaker and a panelist and has made numerous invited presentations globally in the area of high performance computing and computational science. She serves on several committees that promote diversity, women in computing and information technology, and computational science. Her current research interests are related to grid computing.

Valerie E. Taylor earned her Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley, in 1991. From 1991-2002, Dr. Taylor was a member of the faculty of Northwestern University. Dr. Taylor has since joined the faculty of Texas A&M University as Head of the Dwight Look College of Engineering's Department of Computer Science and holder of the Stewart & Stevenson Professorship II.

Her research interests are in the areas of computer architecture and high performance computing, with particular emphasis on mesh partitioning for distributed systems and the performance of parallel and distributed applications. She has authored or co-authored over 70 publications in these areas. Dr. Taylor has received numerous awards for distinguished leadership and research.

Stephenie McLean is the education, outreach and training director at the Texas Advanced Computing Center (TACC) located on the campus of the University of Texas at Austin. Prior to arriving at TACC, she was the training and outreach manager for the National Center for Supercomputing Applications. (NCSA). During much of her career Stephenie has worked to provide executive awareness, faculty development and educational opportunities to underrepresented faculty and students in the areas of science, technology, engineering and math. Stephenie is the director of the Minority Serving Institutions Network (MSIN), which aims to build a pathway of diversity in advanced computing and computational science. Stephenie was recognized for her work in increasing diversity in high performance computing by HPCWire "2004 Watch List for HPC".

Stephenie holds a M.S. in Journalism from Murray State University. She is a member of the Institute for African American E-Culture (iAAEC), ACM, Global Grid Forum (GGF), Coalition to Diversify Computing (CDC) and serves on the 2005 Supercomputing Conference Executive Planning Committee.

Jon Bashor is the communications manager for the Computing Sciences organization at the Department of Energy's Lawrence Berkeley National Laboratory. Jon has also served as the communications chair for the SC2003 Conference and the International Supercomputer Conference (2004, 2005) held in Heidelberg, Germany.

Jon earned his master's degree in journalism at UC Berkeley. His professional experience also includes six years with the Lawrence Livermore National Lab Public Affairs Office, two years in public relations, and eight years as a reporter with several newspapers in the San Francisco Bay Area.

As Director of Programs at CRA, Carla is involved with the broad range of programs focusing on human resources, on community-building, and on connecting CRA with the other organizations advancing science and engineering. She supports several CRA committees such as the Committee on the Status of Women in Computing Research (CRA-W), Coalition to Diversity Computing (CDC), the IT Deans Group, and others. Before coming to CRA, Carla designed and implemented educational programs at universities in Texas and New Mexico to encourage and support the participation of students from underrepresented groups in STEM disciplines and served on several board including AISTEC, Hispanic WomenÕs Network and Expanding Your Horizons.

A native of New Mexico and first-generation college graduate, Carla received her B.A. in English, pre-law at the University of New Mexico, and her M.P.A. at the University of Texas, El Paso. She uses some of her free time assisting grass roots non-profit organizations and Latino/a artists in the areas of marketing, public relations, and fundraising.

Eric Brittain is a PhD student at the Massachusetts Institute of Technology (MIT). He is in the Electrical Engineering and Computer Science department. His area of research is Educational Technology.

Eric received the MS degree in Computer Science at MIT. He also received MS and BS degrees in Computer Science at Clark Atlanta University. He is a member of the Coalition to Diversify Computing (CDC).