Farid Alizadeh

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Associate Professor
Office Location: 
WP 1062
Office Phone: 
973-353-5488
Academic Info
Education: 

Ph.D., University of Minnesota; Computer Science
M.S., University of Nebraska–Lincoln; Computer Science
B.S., University of Wisconsin-Madison; Economics

Research Interests: 
Software suite of callable C/C++ functions for solving optimization problems with combined linear, convex quadratic and semidefinate constraints as well as working on applications of semidefinate programming to combinatorial optimization problems, and statistical problems.
Teaches: 
Statistical Methods in Business
Bio: 

Professor Alizadeh is a leading authority in the area of mathematical optimization. He is one of the originators of the field of semidefinite programming which has found numerous applications in areas as wide as quantitative finance, statistical learning theory, computer science and engineering. His work are some of the most highly cited in optimization theory, and his research has been supported by National Science Foundation and Office of Naval Research.