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Dr. Farzad Yousefian

Associate Professor

 

Areas of Interest

  • Stochastic and Large-scale Optimization
  • Distributed Optimization in Multi-agent Networks
  • Variational Inequalities and Nash Games
  • First-order Optimization Methods
  • Machine Learning Applications

 

Academic Qualifications

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

 

Academic Positions

  • Associate Professor, Oklahoma State University, July 2021 – now
  • Assistant Professor, Oklahoma State University, August 2015 – June 2021
  • Postdoctoral Researcher, Pennsylvania State University, 2014 – 2015
  • Lecturer, University of Illinois at Urbana-Champaign, 2013 – 2014

 

Academic Awards

  • National Science Foundation CAREER Award, 2020
  • OSU College of Eng, Archit, and Tech Excellent Teacher Award, 2020
  • Winter Simulation Conference Best Theoretical Paper Award, 2013

 

Courses Taught at OSU

  • IEM 6990: Distributed and Parallel Optimization
  • IEM 6990: Convex Optimization
  • IEM 6043: Nonlinear Optimization
  • IEM 5013: Introduction to Optimization  
  • IEM 5003: Probability and Statistics for Engineers  
  • IEM 4913: Senior Design Projects
  • IEM 4713: Systems Simulation Modeling  
  • IEM 4613: Production Planning and Control Systems  
  • IEM 4013: Operations Research

 

Selected Publications

  • H. D. Kaushik and F. Yousefian, A Method with Convergence Rates for Optimization Problems with Variational Inequality Constraints, SIAM Journal on Optimization, 31(3), 2171–2198, 2021.
  • F. Yousefian, A. Nedich, and U. V. Shanbhag, On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis, SIAM Journal on Optimization, 30(2), 1144–1172, 2020.
  • N. Majlesinasab, F. Yousefian, A. Pourhabib, Self-tuned Stochastic Mirror Descent Methods for Smooth and Nonsmooth High-Dimensional Stochastic Optimization, IEEE Transactions on Automatic Control, 64(10), 4377-4384, 2019.
  • F. Yousefian, A. Nedich, and U.V. Shanbhag, On Smoothing, Regularization and Averaging in Stochastic Approximation Methods for Stochastic Variational Inequality Problems, Mathematical 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 Games, IEEE 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.

 

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