Tony F. Chan

Dean,
Division of Physical Science,
College of Letters and Science,
UCLA.

Professor,
Computational and Applied Mathematics Group,
Department of Mathematics,
UCLA.

Press articles about Math:

• "Math Convention Problems Just Keep on Multiplying", LA Times August 12, 2000.
• "For Mathematicians, `a Once in a Century Thing'", LA Times August 10, 2000.
• "Math Whizzes Want Respect in Equation", LA Times July 14, 1998
• Article in Sing Tao Daily, Los Angeles Edition, Oct 31, 1998.
• "1999 Innovators in Mathematics", Ambassador Magazine, January, 1999.

Brief CV:

• Dean of Physical Sciences, July 2001 - present.
• Director, Institute for Pure and Applied Mathematics , July, 2000 - Aug 2001.
• Chair, Math Dept, UCLA, 1997-2000.
• Graduate Vice Chair, Math Dept, UCLA, 1996-1997.
• Professor, Math Dept, UCLA, 1986-present.
• Associate Professor, Computer Science Dept, Yale Univ., 1984-1986.
• Assistant Professor, Computer Science Dept, Yale Univ., 1979-1984.
• Research Fellow, Applied Math Dept, Caltech, 1978-1979.
• Ph.D. (CS, 78, Stanford), MS (Aero, 73 Caltech), BS (Eng., 73 Caltech)
• High Schools: Queen's College, Salesian School, Hong Kong.

Professional Services:

• Principal Investigator and Board of Trustees, The Institute of Pure and Applied Mathematics (IPAM) (NSF funded), UCLA. (1999 -)
• Member, NSF Math and Physical Science Advisory Committee (99 - ).
• Co-Chair, SIAM National Meeting, July 10-14, 2000, Puerto Rico.
• Member, AMS Committee on Committees (99 - ).
• Chair, Local Organizing Committee, AMS Conference on "Mathematical Challenges of the 21st Century", UCLA, Aug 6-12, 2000.
• SIAM Committee on Science Policy (2000 -).
• Editorial boards: SIAM J. Sci. Comp., Elec. Trans. Numer. Anal., Numer. Alg., Numer. Lin. Alg. Applic., J. Comp. Math (Beijing), Asian J. Math.

Research Interests:

• PDE methods in image processing, computer vision and computer graphics.
• Image Processing Group Homepage.
• Computational methods for VLSI CAD.
• Multigrid and domain decomposition algorithms.
• Iterative methods, Krylov subspace methods.
• Parallel algorithms.