(*: Graduate students)
A. Shakya*, S. Bhowmik*, W. Pang, M. Stoner, Y. Song, D. Albright, and D. Vaughn, "A Framework for Estimating Hurricane-Induced Housing Demand: Enhancing Disaster Housing Logistics Planning", Journal of Wind and Structures, 40(5), 363-380, 2025.
Q. Hu, S. Hu, Z. Dong, and Y. Song, "Evacuation Network Design under Road Capacity Improvement and Uncertainty: SOCP Reformulations and Benders Decomposition", Accepted for Publication at European Journal of Operational Research, 2025.
D. Silva*, T. Sharkey, and Y. Song, "A Bilevel Network Interdiction Problem to Minimize the Number of Active Special Arcs in the Maximum Flow", Accepted for Publication at INFORMS Journal on Computing, 2025. [Code]
M. Siddig* and Y. Song, "Multistage Stochastic Programming with a Random Number of Stages: Applications in Hurricane Disaster Relief Logistics Planning", European Journal of Operational Research, 321(3), 925-941, 2025. [Code]
W. Fisher*, Q. Zhang, and Y. Song, "Approximate Dynamic Programming Methods in Bayesian Preference Elicitation", Quality Engineering, 37(3), 475-492, 2025. [Code]
W. Fisher*, Q. Zhang, and Y. Song, "Batch Sequential Designs in Bayesian Preference Elicitation with Application to Tradespace Exploration", Journal of Quality Technology, 57(2), 115-134, 2025. [Code]
H. Liu*, Q. Luo, and Y. Song, "Adaptive Opening Times for Evacuation Shelters During Disasters", Accepted for Publication at Optimization Letters, 2024.
S. Chen*, Y. Song, D. Albright and W. Pang, "Logistics Planning for Direct Temporary Disaster Housing Assistance under Demand Uncertainty", Socio-Economic Planning Sciences, 96, 102072, 2024. [Code]
S. Bhattarai* and Y. Song, "Multi-stage Stochastic Programming for Integrated Network Optimization in Hurricane Relief Logistics and Evacuation Planning", Networks, 85(1), 3-37, 2024. [Code]
B. Gulcan*, Y. Song, S.D. Eksioglu, and M. Roni, "A Multi-stage Stochastic Programming Model for Adaptive Biomass Processing Operation under Uncertainty", Energy Systems, 15, 1197-1232, 2024.
K. Barrick, T. Sharkey, K. Maass, Y. Song and L. Martin, “Expanding our understanding of traffickers and their operations: A review of the literature and path forward”, Trauma, Violence, and Abuse, 25(3), 2348-2362, 2024.
V. Prabhu*, W. Hand, T. Isik, Y. Song and K. Taaffe, "Risk-adjusted Staffing Policies to Minimize Perioperative Staffing Shortages during a Pandemic: An Agent-Based Simulation Study", Epidemiology and Infection, 151, e66, 1-11, 2023.
D. Nguyen*, Y. Song and J.C. Smith, "A Two-Stage Network Interdiction-Monitoring Game", Networks, 81(3), 334-358, 2023. [Code]
J. Margolis*, Y. Song and S. Mason, "A Markov Decision Process Model on Dynamic Routing for Target Surveillance", Computers and Operations Research, 141, 105699, 2022.
M. Siddig* and Y. Song, "Adaptive Partition-based SDDP Algorithms for Multistage Stochastic Linear Programming with Fixed Recourse", Computational Optimization and Applications, 81, 201-250, 2022. [Code]
B. Gulcan*, S.D. Eksioglu, Y. Song, M. Roni and Q. Chen, "Optimization Models for Integrated Biorefinery Operations", Optimization Letters, 16, 909-951, 2022.
J. Margolis*, Y. Song and S. Mason, "A Multi-vehicle Covering Tour Problem with Speed Optimization", Networks, 79(2), 119-142, 2022.
Y. Chang*, Y. Song, and B. Eksioglu, “A Stochastic Lookahead Approach for Hurricane Relief Logistics Operations Planning under Uncertainty”, Annals of Operations Research, 319, 1231-1263, 2022. [Code and Dataset]
R. Pasupathy and Y. Song, "An Adaptive Sequential Sample Average Approximation Framework for Solving Two-stage Stochastic Programs", SIAM Journal on Optimization, 31(1), 1017-1048, 2021. [Code]
C. Wernz, Y. Song, and D. Hughes, "How Hospitals Can Influence Physicians to Improve Hospitals’ Public Quality Reports: A Decision-Theoretic Model", Health Care Management Science, 24, 702–715, 2021.
Q. Zhang, A. Khademi and Y. Song, "Min-max Optimal Design of Two-Armed Trials with Side Information", INFORMS Journal on Computing, 34(1), 165-182, 2021.
L. Cheng, L. Kong, Y. Song, J. Niu, C. Luo, Y. Gu, T. He, “Adaptive Forwarding with Probabilistic Delay Guarantee in Low-Duty-Cycle Wireless Sensor Networks”, IEEE Transactions on Wireless Communications, 19(7), 4775-4792, 2020.
B. Pay* and Y. Song, “Partition-based Decomposition Algorithms for Two-stage Stochastic Integer Programs with Continuous Recourse”, Annals of Operations Research, 284, 583-604, 2020.
Y. Song, M. Ulmer, B. Thomas and S. Wallace, "Building Trust in Home Services - Stochastic Team-Orienteering with Consistency Constraints", Transportation Science, 54(3), 823-838, 2020. [Dataset]
J. C. Smith and Y. Song, "A Survey of Network Interdiction Models and Algorithms", European Journal of Operational Research, 283(3), 797-811, 2020.
W. van Ackooij, W. de Oliveira, and Y. Song, “On Regularization with Normal Solutions in Decomposition Methods for Multistage Stochastic Programming”, Computational Optimization and Applications, 74(1), 1-42, 2019.
Q. He, S. Irnich and Y. Song, “Branch-Cut-and-Price for the Vehicle Routing Problem with Time Windows and Convex Node Costs”, Transportation Science 53(5), 1213-1499,2019.
B. Pay*, J. Merrick, and Y. Song, “Stochastic Network Interdiction with Incomplete Preference”, Networks, 73(1), 3-22, 2019.
B. Pang*, X. Xie, Y. Song, L. Luo, “Surgery Scheduling under Case Cancellation and Surgery Duration Uncertainty”, IEEE Transactions on Automation Science and Engineering, 16(1), 74-86, 2019.
R. Fukasawa, Q. He, F. Santos and Y. Song, “A Joint Routing and Speed Optimization Problem”, INFORMS Journal on Computing, 30(4), 694-709, 2018. [Dataset]
X. Lei*, S. Shen, and Y. Song, “Stochastic Maximum Flow Interdiction Games with Heterogeneous Risk Preferences”, Computers and Operations Research 90, 97-109, 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. [Dataset] [Code]
Q. Zhang and Y. Song, “Moment Matching Based Conjugacy Approximation for Bayesian Ranking and Selection”, ACM Transactions on Modeling and Computer Simulation 27(4), 2017.
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.
R. Fukasawa, Q. He and Y. Song, “A Disjunctive Convex Programming Approach to the Pollution Routing Problem”, Transportation Research Part B 94, 61-79, 2016.
Y. Song and S. Shen, “Risk Averse Shortest Path Interdiction”, INFORMS Journal on Computing 28(3), 527-539, 2016.
R. Fukasawa, Q. He and Y. Song, “A Branch-Cut-and-Price Algorithm for the Energy Minimization Vehicle Routing Problem”, Transportation Science 50(1), 23-34, 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 and M. Zhang, “Chance-Constrained Multi-Terminal Network Design Problems”, Naval Research Logistics 62, 321-334, 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.
D. Silva*, T. Sharkey, Y. Song, and K. Maass, "Bi-objective Bilevel Network Interdiction Models for Sex Trafficking Disruption", 2025.
S. Bhattarai and Y. Song, "Data-Driven Multi-Stage Stochastic Programming Models for Integrated Hurricane Relief Logistics and Evacuation Problem", 2025.
S. Chen* and Y. Song, "A Multi-horizon Stochastic Programming Model for Long-term Disaster Housing Logistics Planning", 2025.
M. Castro, M. Bodur and Y. Song, "Markov Chain-based Policies for Multi-stage Stochastic Integer Linear Programming with an Application to Disaster Relief Logistics", 2023.
M. Siddig*, Y. Song and A. Khademi, "Rolling Horizon Policies in Multistage Stochastic Programming", 2023.
H. Khakan* and Y. Song, "A Stochastic Service Network Design Model for Disaster Logistics Planning: A Case Study for the State of South Carolina", Proceedings of IISE Annual Conference and Expo, 2025.
D. Albright, E. Hall*, Y. Song, W. Pang, M. Stoner, "Direct Housing for Post-Disaster Recovery: Design and Logistics for Alternative Solutions", Proceedings of the 2023 Building Technology Educators' Society Conference.
Y. Song, "A Brief Review of Network Interdiction: Models and Methods", Book Chapter of Encyclopedia of Optimization, Springer, 2023.
S. Chen*, Y. Song, D. Albright, and W. Pang, “Logistics Planning for Disaster Housing Assistance under Demand Uncertainty”, Proceedings of IISE Annual Conference and Expo, 2023.
Winner, Best Paper Award of the Logistics and Supply Chain Track, IISE Annual Conference & Expo 2023.
S. Bhattarai* and Y. Song, “Integrated Hurricane Relief Logistics and Evacuation Planning under Forecast Uncertainty: A Case Study for Hurricane Florence”, Proceedings of IISE Annual Conference and Expo, 2023.
W. Fisher*, Q. Zhang, Y. Song, D. Gorsich, G. Hartman and A. Skowronska, "Bayesian Sequential Preference Elicitation: A Tradespace Exploration Framework with Application in Vehicle Concept Design", Proceedings of IISE Annual Conference and Expo, 2022, 894-899.
Winner, Best Paper Award of the Operations Research Track, IISE Annual Conference & Expo 2022.
T. Sharkey, K. Maass, Y. Song, K. Barrick, A. Farrell and L. Martin, "Better together: A transdisciplinary approach to disrupt human trafficking -- ISE tools, advisory group guidance applied to tackle global crisis", ISE Magazine, 2021.
M. Siddig*, Y. Song and A. Khademi, "Maximum-posterior Evaluation for Partially Observable Multistage Stochastic Programming", Proceedings of IISE Annual Conference and Expo, 2021.
Winner, Best Paper Award of the Operations Research Track, IISE Annual Conference & Expo 2021.
M. Siddig* and Y. Song, "Multistage Stochastic Programming Models for Hurricane Relief Logistics Planning", Proceedings of IISE Annual Conference and Expo, 2021.
V. Prabhu*, K. Taaffe, C. Caglayan, T. Isik, Y. Song and W. Hand, “Team based, Risk Adjusted Staffing During A Pandemic: An Agent Based Approach”, Proceedings of Winter Simulation Conference, 2020.
Y. Chang*, Y. Song and B. Eksioglu, “A Stochastic Look-ahead Approach for Disaster Relief Logistics Operations”. Proceedings of INFORMS-TSL Conference 2020, https://www. informs.org/Publications/Proceedings-of-the-TSL-Second-Triennial-Conference.
V. Garg*, S. Eksioglu and Y. Song, “Stochastic Supply Chain Optimization Model for Delivery of Pre-Processed Blended Biomass – A Case Study from Kansas, US”. Proceedings of IISE Annual Conference and Expo, 2020.
Winner, Best Student Paper Award of the Energy Systems Track, IISE Annual Conference & Expo 2020.
M. Siddig* and Y. Song, "Adaptive Partition-enabled Preprocessing for Multistage Stochastic Linear Programs", Proceedings of IISE Annual Conference and Expo, 2019.
Q. He and Y. Song, “Vehicle Routing Problems with Time Windows and Convex Node Costs”, Technical Report, 2016.
Q. Zhang and Y. Song, “Simulation Selection for Empirical Model Comparison”, Proceedings of Winter Simulation Conference (WSC), 2015.
Y. Song and T. Dinh, “Optimal Containment of Misinformation in Social Media: A Scenario-based Approach”, Proceedings of CSoNet’14, Lecture Notes in Computer Science, 2014.
Y. Song, "Structure-exploiting Algorithms for Integer and Chance Constrained Stochastic Programs", Ph.D. Dissertation, UW-Madison, 2013.
"Integrated Logistics and Operational Planning for Anticipated Threat Mitigation under Contested Logistics Environments", Office of Naval Research, $350,188, 09/2022 -- 08/2025, PI.
"An Integrated Housing Design and Logistics Operations Modeling and Analysis Framework for Hurricane Relief", National Science Foundation, $399,999, 11/2021 -- 10/2025, PI (co-PIs: Dustin Albright and Weichiang Pang).
“CAREER: An Adaptive Stochastic Look-ahead Framework for Disaster Relief Logistics under Forecast Uncertainty”, National Science Foundation, $500,000, 08/2021 -- 07/2026, PI.
"D-ISN: TRACK 1: Modeling Effective Network Disruptions for Human Trafficking", National Science Foundation, $999,768, 01/2021 -- 12/2025, co-PI (PI: Thomas Sharkey).
“Energy Efficiency for the Growing South Carolina Manufacturing Industries”, Department of Energy, $1,284,414, 09/2016 -- 08/2021, co-PI (PI: Michael Carbajales-Dale).
“How Health Policy and Hospital Nudging Affect Imaging Decisions: A Multi-Level, Data-Driven, Decision-Theoretic Analysis”, Harvey L. Neiman Health Policy Institute, $80,437, 06/2019 -- 05/2020, co-PI (PI: Christian Wernz).
“An Adaptive Partition-based Approach for Solving Large-Scale Stochastic Programs”, National Science Foundation, $263,486 (including the REU and INTERN Supplement), 03/2016 -- 05/2021, PI.