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Oklahoma State University


Papers published or accepted in 2017-2019

J. Ma and B. Balasundaram. On the chance-constrained minimum spanning k-core problem. Journal of Global Optimization, October 2018. Accepted for publication.

S. Sun, Z. Miao, B. Ratcliffe, P. Campbell, B. Pasch, Y. A. El-Kassaby, B. Balasundaram, and C. Chen. SNP variable selection by generalized graph domination. PLOS ONE, 14(1):1–18, January 2019.

Y. Lu, E. Moradi, and B. Balasundaram. Correction to: Finding a maximum k-club using the k-clique formulation and canonical hypercube cuts. Optimization Letters, 12(8):1959–1969, November 2018.

E. Moradi and B. Balasundaram. Finding a maximum k-club using the k-clique formulation and canonical hypercube cuts. Optimization Letters, 12(8):1947–1957, November 2018.

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, July 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, February 2017.

J.S. Borrero, O.A. Prokopyev, P. Krokhmal, Optimization of Cascading Processes in Arbitrary Networks with Stochastic Interactions. IEEE Transactions on Network Science and Engineering, 2018. Accepted for publication.

J.S. Borrero, O.A. Prokopyev, D. Saure, Sequential Interdiction with Incomplete Information and Learning. Operations Research, 2018. Accepted for publication.

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.

H. Validi, A. Buchanan. A Note on "A linear-size zero-one programming model for the minimum spanning tree problem in planar graphs". Networks, 73(1): 135-142, 2019.

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, 72(2): 238-248, 2018.

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.

J. Usher, R. Aslam, T. Hardin. Repetitive Availability Demonstration Testing Procedure. ASTM Journal of Testing and Evaluation, vol. 45(3), May 2017, DOI: 10.1520/JTE20150415

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.

Srivathsan, S. and M. Kamath, 2018, Understanding the Value of Upstream Inventory Information Sharing in Supply Chain Networks, Applied Mathematical Modelling, Volume 54, Pages 393-412.

Srivathsan, S. and M. Kamath, 2017, Performance Modeling of a Two-Echelon Supply Chain Under Different Levels of Upstream Inventory Information Sharing, Computers and Operations Research, Vol. 77, 210-225.

Ma, J., Y.T. Leung, and M. Kamath, 2019,  “Service System Design under Uncertainty: Insights from an M/G/1 model,” Service Science.

Piri, S., Delen, D., Liu, T. 2018. A Synthetic Informative Minority Over-Sampling (SIMO) Algorithm Embedded into Support Vector Machine to Learn from Imbalanced Datasets. Decision Support Systems, 106, 15-29.

Piri, S., Delen, D., Liu, T., Paiva, W. 2018. Development of a New Metric to Identify Rare Patterns in Association Analysis: The Case of Analyzing Diabetic Comorbidities. Expert Systems with Applications, 94, 112-125

Gupta, A., T. Liu, S. Shepherd, W. Paiva. 2018. Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA. Healthcare Informatics Research. 24(2), 139-147.

Piri, S., Delen, D., Liu, T., & Zolbanin, H.M. 2017. 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.

Liu, T., J. Mariscal, Q. Pan, S. Sun, N. Wang; H. Yu. 2017. Prototype Decision Support System for Black Ice Detection and Road Closure Control. IEEE Intelligent Transportation Sys., 9(2), 91-102.

Zhou, Y., T. Liu, C. Zhao. 2018. Backup Capacity Coordination with Renewable Energy Certificates in a Regional Electricity Market. IISE Transactions, 50(8), 711– 719.

Zhou, Y., T. Liu, G. Cai. 2018. Impact of In-store Promotion and Spillover Effect on Private Label Introduction. Accepted by Service Science.

F. Yousefian, A. Nedich, and U.V. Shanbhag, On stochastic mirror-prox algorithms for stochastic Cartesian variational inequalities: randomized block coordinate and optimal averaging schemes, Set-Valued and Variational Analysis, to appear

D. Newton, F. Yousefian, R. Pasupathy, Stochastic Gradient Descent: Recent Trends, INFORMS Tutorials, accepted for publication.

F. Yousefian, A. Nedich, and U.V. Shanbhag, On Stochastic Mirror-prox Algorithms for Stochastic Cartesian Variational Inequalities: Randomized Block Coordinate and Optimal Averaging Schemes, Set-Valued and Variational Analysis, 2018

C. Zhao, R. Jiang, Distributionally robust contingency-constrained unit commitment, IEEE Transactions on Power Systems, 33(1): 94-102, 2018.

A. Bagheri, C. Zhao, F. Qiu, J. Wang, Resilient transmission hardening planning in a high renewable penetration erra, Accepted for publication of IEEE Transactions on Power Systems, 2018.

C. Zhao, Y. Guan, Data-driven risk-averse stochastic optimization with Wasserstein metric, Operations Research Letters, 46(2), 262-267, 2018.

Y. Guo, C. Zhao, Islanding-aware robust energy management for microgrids, IEEE Transactions on Smart Grid, 9(2): 1301-1309, 2018.

A. Bagheri, J. Wang, C. Zhao, Data-driven stochastic transmission expansion problem, IEEE Transactions on Power Systems, 32(5): 3461-3470, 2017.

T. Ding, C. Zhao, Robust total supply capability considering distribution network reconfiguration under N - k transformer contingency and the decomposition method, IET Generation, Transmission & Distribution, 11(5): 1212-1222, 2017.

 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, IEEE Transactions on Power Systems, 32(5): 3852-3861, 2017.