John Smith
Jonsson School Chair
Professor – Computer Science
Department Head
Overview
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Education
Ph.D. – Computer Science and Engineering
University of Notre Dame – 2000
M.S. – Computer Science and Engineering
University of Notre Dame – 1997
Engineer Diploma – Computer Science and Automation
Technical Military Academy (Burhest, Romania) – 1991
Research Interest
- Computational Geometry
- Algorithms and Optimization
- Bio-Medical Computing
- Applied Machine Learning
Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
- David Allen, Ovidiu Daescu: A comprehensive system for locating medical services. PETRA 2013: 31 2013 – Publication
Appointment
Associate Professor
University of Texas at Dallas [2006–Present]
Assistant Professor
University of Texas at Dallas [2000–2006]
Postdoctorial Research Associate
University of Notre Dame [2000–2000]
Teaching / Research Assistant
University of Notre Dame [1995–2000]
Lecturer
Technical Military Academy, Bucharest, Romania [1992–1995]
Programming Analyst
Technical Military Academy, Bucharest, Romania [1991–1992]
Computing Center
Funding
Weighted Region Problems: Theory and Algorithms
$249,996 - NSF [2006–2010]
Outlier Identification and Handling in Computational Geometry Problems
$99,972 - NSF [2004–2006]
Algorithms for Computing Optimal Weighted Links and Trajectories
$14,000 - Clark Foundation Research Initiation Grants Program (through UTD) [2002–2002]
Resources for Research in Scalable Parallel Computing and Networking Simulation
$63,330 - NSF [2001–2006]
Project
-
Optimization problems in weighted regions
2006–2006 Department of Computer Science, Southern Methodist University -
Polygonal chain approximation with applications
2003–2003 Department of Computer Science, University of North Texas -
Towards An Optimal Algorithm For Recognizing Laman Graphs
2007–2007 Workshop on Algorithms, Combinatorics and Geometry -
Optimal Path Problems with Medical Applications
2006–2006 Neuroengineering Now, University of Texas at Dallas -
Optimal weighted links and applications
2001–2001 Computer Science Colloquium, Department of Computer Science, University of Texas at Dallas
-
Efficient algorithms for approximating polygonal paths
1999–1999 Seminar in Applied Mathematics, Center for Applied Mathematics, University of Notre Dame
Additional Information
Professional Memberships, Awards, and Honors
- Member ACM, ACM SIGBio, IEEE-CS.
- Graduate Student Fellow of the Center for Applied Mathematics, University of Notre Dame, 08/1998-05/1999
- Fellowship from the Center for Applied Mathematics, University of Notre Dame, 08/1998-05/1999
Additional Information
NSF Brings Together Computer Scientists, Industry for New Tech Hub
Computer scientists at UT Dallas hope that funding awarded by the National Science Foundation to create an Industry/University Cooperative Research Center will help the Dallas area become a research hub for technology that enhances human abilities.
Like all I/UCRCs, the iPerform Center for Assistive Technologies to Enhance Human Performancesupports research that interests university and industry members. The center originated with two sites, one at UT Dallas and the other at the University of Texas at Arlington. The NSF awarded UT Dallas $325,000 for five years to create iPerform, with the expectation that researchers involved would attract industry partners that pay a fee to fund precompetitive research and have access to other research at the center. Researchers at UT Arlington have received separate funding to participate in iPerform and also are attracting partners.