Message Creation Date was at 23-OCT-1997 17:12:00
THE WHITE HOUSE
Office of the Press Secretary
____________________________________________________________________________
For Immediate Release October 23, 1997
PRESIDENT NAMES OUTSTANDING YOUNG U.S. SCIENTISTS
President Clinton today named 60 young researchers to receive the second
annual Presidential Early Career Awards for Scientists and Engineers (PECASE),
the highest honor bestowed by the United States government on outstanding
scientists and engineers beginning their careers.
The Presidential Awards were established by President Clinton in February
1996, and are intended to help meet the Administration's goals of producing
the
finest scientists and engineers for the twenty-first century and maintaining
U.S. leadership across the frontiers of scientific research. The awards
recognize young scholars, research contributions, their promise, and their
commitment to broader societal goals.
"These gifted young professionals exemplify the best of our science and
technology community and will help set the scientific pace for the U.S. and
the
world in the years ahead," the President said. "Their passion for discovery
and their determination to explore new scientific frontiers will drive this
Nation forward and build a better America for the twenty-first century."
Ten government agencies join together annually to nominate promising
scientists and engineers for the awards. Those selected receive up to
$500,000
over a five-year period to further their research and broadly advance science
for important government missions. The supporting Federal agencies are: the
Departments of Agriculture, Commerce, Defense, Energy, Health and Human
Services, Transportation, and Veterans, Affairs, the Environmental Protection
Agency, the National Aeronautics and Space Administration, and the National
Science Foundation.
The awards will be presented in a White House ceremony on November 3, 1997.
The recipients are:
Department of Agriculture
Eric J. Gustafson, North Central Forest Experiment Station
Laura Lee McConnell, Environmental Chemistry Laboratory
Sara L.F. Sunden, University of Illinois at Urbana/Champaign
-more-
Department of Commerce
Gregory T. Linteris, Building and Fire Research Laboratory, NIST
Christopher R. Monroe, Physics Laboratory, NIST
Erik N. Rasmussen, University of Oklahoma
Thomas J. Silva, Electronics and Electrical Engineering Laboratory, NIST
Department of Defense
Nicholas L. Abbott, University of California, Davis
David S. Citrin, (Navy) Washington State University
Robert L. Clark, Jr., (Air Force) Duke University
Elliot Douglas, (Army) University of Florida
Joel T. Johnson, (Navy) Ohio State University
Ying-Cheng Lai, (Air Force) University of Kansas
Peter Schiffer, (Army) University of Notre Dame
Department of Energy
Bruno S. Bauer, University of Nevada at Reno
Andrew Brandt, Fermi National Accelerator Laboratory
David J. Dean, Oak Ridge National Laboratory
Lori Ann Freitag Diachin, Argonne National Laboratory
Thomas Matula, University of Washington
David E. Newman, Oak Ridge National Laboratory
John Shanklin, Brookhaven National Laboratory
Department of Veterans, Affairs
J. Michael Gaziano, VA Medical Center
Martin R. Gluck, VA Medical Center
National Aeronautics and Space Administration
Elfatih A.B. Eltahir, Massachusetts Institute of Technology
Jonathan A. Foley, University of Wisconsin at Madison
Cila Herman, Johns Hopkins University
Mark V. Hurwitz, University of California at Berkeley
Todd T. Schlegel, Johnson Space Center
Eun-Suk Seo, University of Maryland at College Park
National Institutes of Health, Department of Health and Human Services
Russ B. Altman, Stanford University
Juan C. Izpisua-Belmonte, Salk Institute for Biological Studies
Anirvan Ghosh, Johns Hopkins University School of Medicine
Macrae F. Linton, Vanderbilt University
Peter Mombaerts, Rockefeller University
Michael K. Rosen, Sloan Kettering Institute for Cancer Research
Patrick J. Stover, Cornell University
Michele S. Swanson, University of Michigan Medical School
Roland M. Tisch, University of North Carolina, Chapel Hill
Sharon L. Walsh, Johns Hopkins Bayview Medical Center
David A. Wassarman, National Institutes of Health
National Science Foundation
Jill E. Bargonetti, Hunter College of CUNY
Peter N. Belhumeur, Yale University
Geoffrey E. Hill, Auburn University
Daniel P. Lathrop, Emory University
Jon P. Longtin, SUNY at Stony Brook
Timothy A. McKay, University of Michigan
Steven W. McLaughlin, Georgia Institute of Technology
******************************************
* Renee J. Miller, Ohio State University *
******************************************
David P. Morton, University of Texas at Austin
Linda K. Nozick, Cornell University
Katherine Okikiolu, University of California, San Diego
Ann M. Sastry, University of Michigan
Lori A. Setton, Duke University
Jaswinder P. Singh, Princeton University
Eileen M. Spain, Occidental College
Florence I. Thomas, Dauphin Island Sea Laboratory
Lonny L. Thompson, Clemson University
Daniel W. van der Weide, University of Delaware
Patricia A. Van Zandt, Johns Hopkins University
Miguel Velez-Reyes, University of Puerto Rico
http://library.whitehouse.gov/ThisWeek.cgi?type=p&date=6&briefing=10
====================================================================
Congratulations to Renee!!!
I am very happy to be able to bring these great news to you all.
Renee's award is a great personal achievement for her, and also a very
visible recognition of the database/information systems research field.
I hope to see more winners from this community in the future years.
I am attaching the abstract of Renee's winning research and educational
project.
--------------------------------------------------------------------
NATIONAL SCIENCE FOUNDATION
Computer and Information Science and Engineering Directorate
Information, Robotics and Intelligent Systems Division
Database and Expert Systems Program
IRI-9702974
Renee J. Miller
Dept. of Computer and Info. Science, Ohio State University
CAREER/PECASE: Managing Schematic Heterogeneity in Database Management Systems
Schematic heterogeneity arises when information that is represented as data
under one schema, is represented within the schema in another, for example
as relation or class names. Schematic heterogeneity is an important class
of heterogeneity that arises frequently in multimedia databases,
semi-structured data and in integrating legacy data for data warehousing
applications. Traditional query languages and view mechanisms are
insufficient for reconciling and translating data between schematically
heterogeneous schemas. The goal of this research project is to permit the
cooperative use of schematically heterogeneous schemas and the data
structured under these schemas. The project addresses the development of
novel languages and techniques for: (1) the transformation and integration
of schematically heterogeneous schemas; (2) the integrated querying of data
from schematically heterogeneous schemas; and (3) the efficient evaluation
of queries over integrated views. The techniques are analyzed for
efficiency, correctness and completeness. In addition, the techniques are
implemented within a heterogeneous repository of medical data. An
evaluation of this implementation is used to refine and extend the results.
The educational component of this project aims to enhance undergraduate and
graduate participation in research, particularly among women and minority
students. This is accomplished through curriculum enhancement, expanding
undergraduate research opportunities and establishing academic enrichment
programs for graduate minority students.
http://www.cis.ohio-state.edu/~rjmiller
==================================================================
Maria Zemankova, Ph.D.
Deputy Division Director,
Information, Robotics & Intelligent Systems*
Acting Program Director,
Database and Expert Systems**
National Science Foundation
4201 Wilson Blvd., Room 1115
Arlington, VA 22230
email: mzemanko@nsf.gov Phone: 703-306-1926 Fax: 703-306-0599
URL: http://www.cise.nsf.gov/iris/
* Soon to become: Information and Intelligent Systems (IIS)
** Soon to become: Information and Data Management (IDM)
==================================================================
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