Research
IEOR researchers investigate the latest mathematical tools, approaches, and methodologies to make new theoretical discoveries and innovations that touch nearly every industry, making them more efficient and profitable in areas such as supply chain, logistics, manufacturing, data science, energy systems, robotics, and management.
Selected Publications
Convex Relaxation for Optimal Power Flow Problem: Mesh Networks
Ramtin Madani, Somayeh Sojoudi and Javad Lavaei, Convex Relaxation for Optimal Power Flow Problem: Mesh Networks, IEEE Transactions on Power Systems, vol. 30, no.1, pp. 199-211, 2015.
The economic default time and the arcsine law
X. Guo, R. A. Jarrow, and A. de Larrard. Economic default time and the arcsine law, Journal of Financial Engineering, DOI: http://dx.doi.org/10.1142/S2345768614500251, 2014.
A direct reduction of PPAD Lemke-verified linear complementarity problems to bimatrix games
Ilan Adler, Sushil Verma (2013), A direct reduction of PPAD Lemke-verified linear complementarity problems to bimatrix games, arXiv:1302.0067.
The equivalence of linear programs and zero-sum games
Ilan Adler (2012), The equivalence of linear programs and zero-sum games, International Journal of Game Theory.
Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control
A. Aswani, N. Master, J. Taneja, D. Culler and C. Tomlin, “Reducing Transient and Steady State Electricity Consumption in HVAC Using Learning-Based Model-Predictive Control,” in Proceedings of the IEEE, vol. 100, no. 1, pp. 240-253, Jan. 2012, doi: 10.1109/JPROC.2011.2161242.