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Oklahoma State University


Papers published or accepted in 2015, 2016, and 2017

F. Mahdavi Pajouh, B. Balasundaram, and I. V. Hicks, On the 2-club polytope of graphs, Operations Research, 64(6):1466–1481, 2016.

J. Ma, F. Mahdavi Pajouh, B. Balasundaram and V. Boginski, The Minimum spanning K-core problem with bounded CVaR under probabilistic edge failures, INFORMS Journal on Computing, 28(2):295-307, 2016.

Z. Miao and B. Balasundaram, Approaches for finding cohesive subgroups in large-scale social networks via maximum k-plex detection, Networks, 69(4):388–407, 2017.

F. Mahdavi Pajouh, E. Moradi, and B. Balasundaram, Detecting large risk-averse 2-clubs in graphs with random edge failures, Annals of Operations Research, 249(1):55–73, 2017.

J.S. Borrero, C. Gillen, and O.A. Prokopyev, A simple technique to improve linearized reformulations of fractional (hyperbolic) 0–1 programming problems, Operations Research Letters, 44(4): 479-486, 2016.

J.S. Borrero, C. Gillen, and O.A. Prokopyev, Fractional 0–1 programming: applications and algorithms, Journal of Global Optimization, 69(1): 255-282, 2017.

A. Buchanan, Extended formulations for vertex cover, Operations Research Letters, 44(3): 374-378, 2016.

S. Kahruman-Anderoglu, A. Buchanan and S. Butenko, O.A. Prokopyev, On provably best construction heuristics for hard combinatorial optimization problems, Networks, 67(3):238-245, 2016.

Y. Wang, A. Buchanan, S. Butenko, On imposing connectivity constraints in integer programs, Mathematical Programming A, 166(1): 241-271, 2017.

A. Buchanan, Y. Wang, S. Butenko, Algorithms for node-weighted Steiner tree and maximum-weight connected subgraph, Networks, to appear.

J. S. Usher, M. Aslam, C. T. Hardin and C. H. Jun, Repetitive Availability Demonstration Testing Procedure, ASTM Journal of Testing and Evaluation, 45(3):1016-1021, 2017.

D. Roy, A. Krishnamurthy, S.S. Heragu and C.J. Malmborg, A simulation framework for studying blocking effects in warehouse systems with autonomous vehicles, European Journal of Industrial Engineering, 10(1): 51-80, 2016.

E. Khodabandeh, L. Bai, S.S. Heragu, G.W. Evans T. Elrod and M. Shirkness, Modeling and solution of a largescale vehicle routing problem at GE Appliances and Lighting, International Journal of Production Research, 55(4): 1100-1116, 2017.

A. Paleshi, K.H. Bae, G.W. Evans, and S.S. Heragu, A simulation-based optimization approach for mitigation of pandemic influenza, IISE Transactions on Healthcare Systems Engineering, 7(2): 107-120, 2017.

D. Roy, A. Krishnamurthy, S.S. Heragu, and C.J. Malmborg, A multi-tier linking approach to analyze performance of autonomous vehicle-based storage and retrieval systems, Computers and Operations Research, 83: 173- 188, 2017.

H. Padmanabhan and M. Kamath, The need for a modular approach to IT solutions, IEEE IT Professional, 18(2): 50-56, 2016.

S. Srivathsan and M. Kamath, Understanding the Value of Upstream Inventory Information Sharing in Supply Chain Networks, to appear in Applied Mathematical Modeling, 2017.

S. Srivathsan and M. Kamath, Performance modeling of a two-echelon supply chain under different levels of upstream inventory information sharing, Computers and Operations Research, 77: 210-225, 2017.

D. Mai, T. Liu, M.D. Morris and S. Sun, Quality coordination with extended warranty for store-brand products, European Journal of Operational Research, 256(2): 524-532, 2016.

T. Liu, J. Mariscal, Q. Pan, S. Sun, N. Wang, and H. Yu, Prototype decision support system for black ice detection and road closure control, IEEE Intelligent Transportation Systems Magazine, 9(2): 91-102, 2017.

S. Piri, D. Delen, T. Liu, and H.M. Zolbanin, A Data Analytics Approach to Building a Clinical Decision Support System for Diabetic Retinopathy: Developing and Deploying a Model Ensemble,” Decision Support Systems, 101: 12-27, 2017.

S. Piri, D. Delen, and T. Liu, A Synthetic Informative Minority Over-Sampling (SIMO) Algorithm Embedded into Support Vector Machine to Learn from Imbalanced Datasets, to appear in Decision Support Systems, 2018.

Y. Zhou,  T. Liu, and C. Zhao, Backup Capacity Coordination with Renewable Energy Certificates in a Regional Electricity Market, to appear in IISE Transactions, 2018.

A. Gupta,  T. Liu, and W. Paiva, Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SRS and qSOFA, to appear in Healthcare Informatics Research, 2018.

A. Pourhabib, J.Z. Huang and Y. Ding, Short-term wind speed forecast using measurements from multiple turbines in a wind farm, Technometrics, 58(1): 138-147, 2016.

F. Yousefian, A. Nedich and U.V. Shanbhag, Self-tuned stochastic approximation schemes for nonsmooth 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 smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems, Mathematical Programming, 165(1), 391-431, 2017.

C. Zhao, Y. Guan, Data-driven stochastic unit commitment for integrating, wind Generation, IEEE Transactions on Power Systems, 31(4): 2587-2596, 2016.

T. Ding, C. Zhao, Robust optimal transmission switching with the consideration of corrective actions for N - K contingencies, IET Generation, Transmission & Distribution, 10: 3288-3295, 2016. 

T. Ding, C. Zhao, Robust total supply capability considering distribution network reconfiguration under N-k transformer contingency and the decomposition method, to appear in IET Generation, Transmission & Distribution, 2017.

Y. Guo, C. Zhao, Islanding-aware robust energy management for microgrids,” to appear in IEEE Transactions on Smart Grid, 2018.

A. Bagheri, J. Wang, C. Zhao, Data-driven transmission expansion problem considering uncertain electricity demand and renewable energy penetration, to appear in IEEE Transactions on Power Systems, 2018.

T. Ding, C. Zhao, T. Chen, R. Liu, Conic programming based Lagrangian relaxation method for DCOPF with transmission losses and its zero-gap sufficient condition, to appear in IEEE Transactions on Power Systems, 2018.

C. Zhao, R. Jiang, Data-driven stochastic unit commitment with N - k contingencies, to appear in IEEE Transactions on Power Systems, 2018.