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Oklahoma State University

Yousefian, Farzad

Ph.D.

Assistant Professor

Industrial Engineering & Management
Oklahoma State University
322 Engineering North
Stillwater, Oklahoma 74078-5016 USA
Phone: (405) 744-6055
E-mail: farzad.yousefian@okstate.edu

Webpage: https://sites.google.com/site/farzad1yousefian

 

 

Areas of Interest

  •     Convex Optimization
  •     Variational Inequalities and Games
  •     Stochastic Approximation Methods
  •     Distributed Optimization 
  •     Big Data Applications

 

Academic Qualifications

  •       Ph.D., Industrial Engineering, University of Illinois at Urbana-Champaign, 2013.
  •       M.S., Industrial Engineering, Sharif University of Technology, Iran, 2008.
  •       B.S., Industrial Engineering, Sharif University of Technology, Iran, 2006.

 

Courses Taught

  •       Convex Optimization (Spring 2018)
  •       IEM 5013 - Introduction to Mathematical Programming (Fall 2015)
  •       IEM 4713 - Introduction to Systems Simulation Modeling (Spring 2016, Spring 2017)
  •       IEM 4613 - Production Planning and Control Systems (Fall 2017)
  •       IEM 4013 - Introduction to Operations Research (Fall 2016, Fall 2017)

 

Academic Awards

  • Best Theoretical Paper for 2013 Winter Simulation Conference

 

Selected Publications

  •       F. Yousefian, A. Nedich, and U.V. Shanbhag, On Stochastic Mirror-prox Algorithms for Stochastic Cartesian Variational Inequalities: Randomized Block Coordinate, and Optimal Averaging SchemesSet-Valued and Variational Analysis, accepted for publication

  •       F. Yousefian, A. Nedich, and U.V. Shanbhag, On Smoothing, Regularization and Averaging in Stochastic Approximation Methods for Stochastic Variational Inequality ProblemsMathematical Programming, 165 (1) 391-431, 2017

  •       F. Yousefian, A. Nedich, and U.V. Shanbhag, Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash GamesIEEE Transactions on Automatic Control, 61(7), 1753-1766, 2016

  •       F. Yousefian, A. Nedich, and U.V. Shanbhag, On Stochastic Gradient and Subgradient Methods with Adaptive Steplength Sequences, Automatica, 48 (1) 56-67, 2012