Carl Laird

William and Ruth Neely Faculty Fellowship

Research Page

Phone: (979) 458-4514
Fax: (979) 845-6446
Email: carl.laird@tamu.edu

Education

B.Sc., University of Alberta, 2000
Ph.D., Carnegie Mellon University, 2006

Awards & Honors

Wilkinson Prize for Numerical Software, 2011
Discrete Optimization Top Cited Article 2005-2010
Herb H. Richardson Fellowship, 2010
William and Ruth Neely Faculty Fellow
TEES Select Young Faculty, 2010
Montague-Center for Teaching Excellence, Texas A&M University, 2010
NSF Faculty Early Career Development (CAREER) Award, 2010
Registered Student Organization New Advisor of the Year, 2010
Celanese Excellence in Teaching Award, Texas A&M University, 2009
AICHE Professor of the Year, Student Chapter, Texas A&M University, 2009
IBM Research Bravo Award, 2005
ChEGSA Symposium Speaker Award, 2003
Mark Dennis Karl Outstanding Graduate Teaching Award, 2002
Canadian National Sciences and Engineering Research Council Fellowship, 2000

Research Interests

Dr. Laird conducts research that focuses on large-scale nonlinear optimization, parameter estimation, and parallel computing. He continues to work on development of early warning contaminant detection systems for municipal drinking water networks, modeling of LNG dispersion, and parameter estimation for dynamic systems. He also is involved in the modeling of infectious diseases, working to determine the fundamental driving forces affecting the spread of infectious disease.

Selected Publications

Wong, A., McKenna, S., Hart, W., and Laird, C.D. [2010], "Real-Time Inversion and Response Planning in Large-Scale Networks", submitted to Computers & Chemical Engineering, 2010.

Zhu, Y., Legg, S., and Laird, C.D. [2010], "A Multiperiod Nonlinear Programming Approach or Operation of Air Separation Plants with Variable Power Pricing", AIChE Journal, In Press, 2010.

Word, D.P., Abbott III, G.H., Cummings, D, and Laird, C.D. [2010], "Estimating Seasonal Drivers in Childhood Infectious Diseases with Continuous Time and Discrete-Time Models", American Control Conference (ACC) 2010, pp. 5137-5142, June 30, 2010 - July 2, 2010.

Zhu, Y., Word, D.,Siirola, J., and Laird, C.D. [2009], “Exploiting Modern Computing Architectures for Efficient Large-Scale Nonlinear Programming”, In: R.M. de Brito Alves, C.A.O. do Nascimento and E.C. Biscaia, Jr., Eds., Computer Aided Chemical Engineering, Elsevier, 2009, Volume 27, 10th International Symposium on Process Systems Engineering: Part A, Pages 783-788.

Bonami, P., Wächter, A., Biegler, L. T., Conn, A. R., Cornuéjols, G., Grossmann, I. E., Laird, C. D., Lee, J., Lodi, A., Margot, F., and Sawaya, N. [2008], “An algorithmic framework for convex mixed integer nonlinear programs”, Discrete Optimization, Volume 5, Issue 2, In Memory of George B. Dantzig, May 2008, Pages 186-204.

For a complete list of publications, please click here