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Program Participants

Modern Trends in Optimization and Its Application

September 13 - December 17, 2010


Organizing Committee | Activities | Scientific Overview

Participation | Application | Contact Us

Organizing Committee

Stephen Boyd (Stanford University, Engineering)
Emmanuel Candes (Stanford University, Applied and Computational Mathematics)
Masakazu Kojima (Tokyo Institute of Technology)
Monique Laurent (CWI, Amsterdam, and U. Tilburg)
Arkadi Nemirovski (Georgia Institute of Technology)
Yurii Nesterov (Université Catholique de Louvain)
Bernd Sturmfels (University of California, Berkeley (UC Berkeley), Mathematics)
Michael Todd (Cornell University)
Lieven Vandenberghe (University of California, Los Angeles (UCLA), EE)

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Activities

There will be an active program of research activities, seminars and workshops throughout the September 13 - December 17, 2010 period and core participants will be in residence at IPAM continuously for these fourteen weeks. The program will open with tutorials, and will be punctuated by five major workshops and a culminating workshop at UCLA’s Lake Arrowhead Conference Center. Several distinguished senior researchers will be in residence for the entire period. Between the workshops there will be a program of activities involving the long-term and short-term participants, as well as visitors.

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Scientific Overview

Mathematical optimization has experienced tremendous growth in the last 20 years, and today, fundamental advances continue to occur at a furious pace. Spectacular progress has been made in our understanding of convex optimization problems and, in particular, of convex cone programming whose rich geometric theory and expressive power makes it suitable for a wide spectrum of important optimization problems arising in engineering and applied science. We have also learned how to approximate combinatorially hard optimization problems by simpler convex problems, which are tractable and provide solutions guaranteed to be close to the original optimal solution. In a different direction, robust optimization offers new techniques for handling data uncertainty by computing solutions that have a guaranteed regime of stability with respect to parameter perturbations, and prevents solutions to be too sensitive to noise or model errors. On the numerical side, recent remarkable advances in algorithms have made possible solving optimization problems involving tens of thousands of variables and/or constraints---even tens of millions in some instances---in reasonable time. These and other fundamental developments, along with progress in high-quality software, have expanded the scale and complexity of optimization problems that can be addressed in practice, and are leading to a wider adoption of optimization techniques throughout many fields in science and engineering.

The proposed long program will be centered on the development and application of these modern trends in optimization. It will bring together researchers from mathematics, computer science, operations research, engineering, and other fields, who have a common interest in optimization. Centered around five workshops, the goal is to develop and exchange ideas about modern optimization which can be influenced by, and influence in turn, progress in engineering and science.

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Participation

This long-term program will involve a community of senior and junior researchers. The intent is for participants to learn about new mathematical developments in this area, to meet a diverse group of people, and have ample opportunities to form new collaborations. In addition to these activities, there will be opening tutorials, five workshops, and a culminating workshop at Lake Arrowhead.

Full and partial support for long-term participants is available, and those interested are encouraged to fill out an online application at the bottom of this page. Support for individual workshops will also be available, and may be applied for through the online application for each workshop. We are especially interested in applicants who are interested in becoming core participants and participating in the entire program (September 13 - December 17, 2010), but give consideration to applications for shorter periods. Funding for participants is available at all academic levels, though recent PhD's, graduate students, and researchers in the early stages of their career are especially encouraged to apply.

Enhancing the careers of women and minority mathematicians and scientists is an important component of IPAM's mission and we welcome their applications.

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Confirmed Participants

David Alexander, Pacific Biosciences
Christine Bachoc, Université de Bordeaux I
Stephen Becker, University of Paris 6 and CNRS
Grigoriy Blekherman, Virginia Polytechnic Institute and State University
Brian Borchers, New Mexico Tech
Maarten Breckpot, Katholieke Universiteit Leuven
Russel Caflisch, Institute for Pure and Applied Mathematics
Giuseppe Calafiore, Politecnico di Torino
Emmanuel Candes, Stanford University
Venkat Chandrasekaran, California Institute of Technology
Aparupa Das Gupta, University of California, Los Angeles (UCLA)
Jesus De Loera, University of California, Davis (UC Davis)
John Doyle, California Institute of Technology
Yoel Drori, Tel Aviv University
Jennifer Erway, Wake Forest University
Maryam Fazel, University of Washington
Michael Friedlander, University of British Columbia
Alex Gittens, California Institute of Technology
Tom Goldstein, Stanford University
Joao Gouveia, University of Washington
Zhaohui Guo, University of California, Los Angeles (UCLA)
Li Jia, National University of Singapore
Zhou Junqi, National University of Singapore
Matthew Keegan, University of California, Los Angeles (UCLA)
Stephen Kemmerling, Stanford University
Michal Kocvara, University of Birmingham
Matthias Koeppe, University of California, Davis (UC Davis)
Masakazu Kojima, Tokyo Institute of Technology
Risi Kondor, California Institute of Technology
Bala Krishnamoorthy, Washington State University
Jean Lasserre, Université de Toulouse III (Paul Sabatier)
Monique Laurent, CWI (Center for Mathematics and Computer Science)
Jon Lee, University of Michigan
Dirk Lorenz, TU Braunschweig
Shiqian Ma, Columbia University
Wenye Ma, University of California, Los Angeles (UCLA)
Vicente Malave, University of California, San Diego (UCSD)
Michael McCoy, California Institute of Technology
Martin Mevissen, Tokyo Institute of Technology
Nader Motee, California Institute of Technology
Yurii Nesterov, Université Catholique de Louvain
Jiawang Nie, University of California, San Diego (UCSD)
Adam Oberman, Simon Fraser University
Joanna Papakonstantinou, Rice University
Pablo Parrilo, Massachusetts Institute of Technology
Goele Pipeleers, Katholieke Universiteit Leuven
Ting Kei Pong, University of Washington
Amber Puha, California State University, San Marcos (CSU San Marcos)
Christian Ratsch, Institute for Pure and Applied Mathematics
Franz Rendl, Universität Klagenfurt
Cordian Riener, Aalto University
Shalom Ruben, University of California, Los Angeles (UCLA)
Parikshit Shah, Massachusetts Institute of Technology
Wei Shen, Arizona State University
Zuowei Shen, National University of Singapore
Bernd Sturmfels, University of California, Berkeley (UC Berkeley)
Benjamin Sudakov, University of California, Los Angeles (UCLA)
Xue-Cheng Tai, University of Bergen
Marc Teboulle, Tel Aviv University
Rekha Thomas, University of Washington
Joel Tropp, California Institute of Technology
Madeleine Udell, Stanford University
Frank Vallentin, Technische Universiteit te Delft
Ewout van den Berg, Stanford University
Luminita Vese, University of California, Los Angeles (UCLA)
Li Wang, University of California, San Diego (UCSD)
Zaiwen Wen, Shanghai Jiaotong University
Henry Wolkowicz, University of Waterloo
Ming Yan, University of California, Los Angeles (UCLA)
Wotao Yin, Rice University
Keivan Zavari, Katholieke Universiteit Leuven
Michael Zibulevsky, Technion - Israel Institute of Technology

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Contact Us:

Institute for Pure and Applied Mathematics (IPAM)
Attn: OP2010
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: ipam@ucla.edu
Website: http://www.ipam.ucla.edu/programs/op2010/

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