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Dr. Yongjia Song

Dr. Yongja Song Assistant Professor

Department of Industrial Engineering
264 Freeman Hall, Clemson University
Clemson, SC 29634-0920

Phone: (864) 656-9832
Fax: (864) 656-0795
Email: yongjis@clemson.edu
Personal Website

Education

BS, Computational Mathematics
Peking University, 2009

MS, Industrial Engineering
University of Wisconsin-Madison, 2012

MS, Computer Sciences
University of Wisconsin-Madison, 2012

PhD, Industrial Engineering
University of Wisconsin-Madison, 2013

Research Areas

Optimization under uncertainty (stochastic and robust optimization), integer programming (linear and nonlinear), and applications of optimization.

Selected Publications

R. Fukasawa, Q. He, F. Santos and Y. Song, “A Joint Routing and Speed Optimization Problem” , forthcoming in INFORMS Journal on Computing, 2018.

W. van Ackooij, W. de Oliveira, and Y. Song, “Adaptive Partition-based Level Decomposition Methods for Solving Two-stage Stochastic Programs with Fixed Recourse” , INFORMS Journal on Computing 30(1), 2018.

S. Ahmed, J. Luedtke, Y. Song and W. Xie, “Nonanticipative Duality, Relaxations, and Formulations for Chance-constrained Stochastic Programs” , Mathematical Programming 162(1), 51-81, 2017.

Y. Song and s. Shen, “Risk Averse Shortest Path Interdiction” , INFORMS Journal on Computing 28(3), 527-539, 2016.

Y. Song and J. Luedtke, “An Adaptive Partition-based Approach for Solving Two-stage Stochastic Programs with Fixed Recourse” , SIAM Journal on Optimization 25(3), 1344-1367, 2015.

Y. Song, J. Luedtke and S. Kucukyavuz, “Chance-constrained Binary Packing Problems” , INFORMS Journal on Computing 26(4), 735-747, 2014. [Dataset]

Y. Song and J. Luedtke, “Branch-and-cut Algorithms for Chance-constrained Models in Reliable Network Design Problems” , Mathematical Programming Computation 5(4), 397-432, 2013.

Courses Taught

IE 8090 Model Systems under Risk

Professional Affiliations

Institute for Operations Research and the Management Sciences (INFORMS)
Mathematical Optimization Society (MOS)
Society of Industrial and Applied Mathematics (SIAM)