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Rohit Kannan
Rohit Kannan
Assistant Professor, Industrial and Systems Engineering, Virginia Tech
Verified email at vt.edu - Homepage
Title
Cited by
Cited by
Year
Data-driven sample average approximation with covariate information
R Kannan, G Bayraksan, JR Luedtke
arXiv preprint arXiv:2207.13554, 2022
45*2022
Residuals-based distributionally robust optimization with covariate information
R Kannan, G Bayraksan, JR Luedtke
Mathematical Programming, 1-57, 2023
372023
Algorithms, analysis and software for the global optimization of two-stage stochastic programs
R Kannan
Massachusetts Institute of Technology, 2018
202018
A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs
R Kannan, JR Luedtke
Mathematical Programming Computation 13 (4), 705-751, 2021
192021
The cluster problem in constrained global optimization
R Kannan, PI Barton
Journal of Global Optimization, 1-48, 2017
162017
Stochastic DC optimal power flow with reserve saturation
R Kannan, JR Luedtke, LA Roald
Electric Power Systems Research 189, 106566, 2020
152020
Convergence-order analysis of branch-and-bound algorithms for constrained problems
R Kannan, PI Barton
Journal of Global Optimization 71, 753-813, 2018
132018
Correntropy-based partial directed coherence for testing multivariate Granger causality in nonlinear processes
R Kannan, AK Tangirala
Physical Review E 89 (6), 062144, 2014
122014
Heteroscedasticity-aware residuals-based contextual stochastic optimization
R Kannan, G Bayraksan, J Luedtke
arXiv preprint arXiv:2101.03139, 2021
112021
Optimization under uncertainty of a hybrid waste tire and natural gas feedstock flexible polygeneration system using a decomposition algorithm
ASR Subramanian, R Kannan, F Holtorf, TA Adams II, T Gundersen, ...
Energy 284, 129222, 2023
32023
Learning to accelerate the global optimization of quadratically-constrained quadratic programs
R Kannan, H Nagarajan, D Deka
arXiv preprint arXiv:2301.00306, 2022
2*2022
A software framework for the global optimization of nonconvex two-stage stochastic programs
R Kannan, P Barton
Oral Presentation at AIChE Annual Meeting, Salt Lake City, UT (November 2015), 2015
2*2015
Optimality-Based Discretization Methods for the Global Optimization of Nonconvex Semi-Infinite Programs
EM Turan, J Jäschke, R Kannan
arXiv preprint arXiv:2303.00219, 2023
2023
Design of PID controllers using semi-infinite programming
EM Turan, R Kannan, J Jäschke
Computer Aided Chemical Engineering, 2022
2022
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