Recent Faculty Publications

Selected Publications of IMSE Faculty 2018-2018 (*Indicates IMSE PhD students /graduates)

Boland, N., Charkhgard, H. and Savelsbergh, M.B. (2017). “A New Method for Optimizing a Linear Function over the Efficient Set of a Multiobjective Integer Program.” European Journal of Operational Research, vol. 260, no. 3, pp. 904–919.

Boland, N., Charkhgard, H. and Savelsbergh, M. (2017) “The Quadrant Shrinking Method: A simple and efficient algorithm for solving tri-objective integer programs.” European Journal of Operational Research, vol 260, no. 3, pp. 873-885. 
Boland, N., Charkhgard, H. and Savelsbergh, (2018) M. “Preprocessing and Cut Generation Techniques for Multi-objective Binary Programming.” European Journal of Operational Research. To appear 

Charkhgard, H. and Eshragh, A. (2018) “A new approach to select the best subset of predictors in linear regression modeling: bi-objective mixed integer linear programming,” ANZIAM Journal. To appear

Sierra-Altamiranda, A. and Charkhgard, H. (2018)“A New Exact Algorithm to Optimize a Linear Function Over the Set of Efficient Solutions for Bi-Objective Mixed Integer Linear Programs.” INFORMS Journal on Computing. To appear.

Pal, A. and Charkhgard, H. (2018) “A Feasibility Pump and Local Search Based Heuristic for Bi-Objective Pure Integer Linear Programming.” Informs Journal on Computing. To appear.

Charkhgard, H., Savelsbergh, M.B. and Talebian M.C. (2018) “A Linear Programming Based Algorithm to Solve a Class of Optimization Problems with a Multi-Linear Objective Function and Affine Constraints.” Computers & Operations Research, vol. 89, pp. 17–30.

Charkhgard, H., Savelsbergh, M. and Talebian, M. (2017). “Nondominated Nash Points: Application of Biobjective Mixed Integer Programming.” 4OR - A Quarterly Journal of Operations Research, vol. 16, no. 2, pp. 151–171.

Dai, R. and Charkhgard, H. (2018) “A Two-Stage Approach for Bi-Objective Integer Linear Programming.” Operations and Research Letters, Vol. 46, no. 1, pp. 81–87.

Charkhgard, H., Subramanian, V., Silva, W., Das, T.K. (2018) “An Integer Linear Programming Formulation for Removing Nodes in a Network to Minimize the Spread of Influenza Virus Infections.” Discrete Optimization.

Dai, R. and Charkhgard, H. (2018) “Bi-Objective Mixed Integer Linear Programming for Managing Building Clusters with a Shared Electrical Energy Storage.” Computers & Operations Research, vol. 96, pp. 173–187.

Haider, Z., Charkhgard, H. and Kwon, C. (2018) “A Robust Optimization Approach for Solving Problems in Conservation Planning.” Ecological Modelling, vol. 368, pp. 288–297.

Saghand, P.G., Charkhgard, H. and Kwon, C. (2018) “A Branch-and-Bound Algorithm for a Class of Mixed Integer Linear Maximum Multiplicative Programs: A Bi-Objective Optimization Approach.” Computers & Operations Research.

Das, D., Pasupathy, K., Haddad, N., Hallbeck, S., Zielinski, M. and Sir, M. (2018) “Improving Accuracy of Non-invasive Hemoglobin Monitors: A Functional Regression Model for Streaming SpHb Data” IEEE Transactions on Biomedical Engineering, to appear.

Das, D., Pasupathy, K., Storlie, C. and Sir, M. (2108) “Functional regression based monitoring of quality of service in hospital emergency departments” IISE Transactions, to appear.

Das, D. and Zhou S. (2017) “Detecting Entropy Increase in Categorical Data Using Maximum Entropy Distribution Approximations” IISE Transactions 49 (8), 827-837.

Ghalebani, A. and Das, T. K. (2017) “Design of Financial Incentive Programs to Promote Net Zero Energy Buildings,” IEEE Transactions on Power Systems 32 (1), 75-84.

Sir, M.Y., Nestler, D., Hellmich, T., Das, D., Laughlin Jr, M.J. and Dohlman, M.C. (2017) et. al. “Optimization of Multidisciplinary Staffing Improves Patient Experiences at the Mayo Clinic” Interfaces 47 (5), 425-441.

Wen, Y., Wu, J., Das, D. and Tseng, T.L.B. (2018) “Degradation modeling and RUL prediction using Wiener process subject to multiple change points and unit heterogeneity” Reliability Engineering & System Safety 176, 113-124.     

Ahmed, M.D., Tanveer, J.Z. and Kwon, C. (2017) “Understanding Conflicting Interests of a Government and a Tobacco Manufacturer: A Game-Theoretic Approach.” Group Decision and Negotiation, vol. 26, no. 6, pp. 1209–1230.

Chung, B.D., Park, S. and Kwon, C. (2018) “Equitable Distribution of Recharging Stations for Electric Vehicles.” Socio-Economic Planning Sciences, vol. 63, pp. 1–11.

Zulqarnain, H., Nikolaev, A., EunKang, J. and Kwon, C. (2018) “Inventory Rebalancing through Pricing in Public Bike Sharing Systems.” European Journal of Operational Research, vol. 270, no. 1, pp. 103–117.

Li, X., Batta, R. and Kwon, C. (2017) “Effective and Equitable Supply of Gasoline to Impacted Areas in the Aftermath of a Natural Disaster.” Socio-Economic Planning Sciences, vol. 57, pp. 25–34.

Su, L., Longsheng, S., Karwan, M. and Kwon, C. (2018) “Spectral Risk Measure Minimization in Hazardous Materials Transportation.” 

Sun, L., Karwan, M.H., and Kwon, C. (2018) “Generalized Bounded Rationality and Robust Multicommodity Network Design.” Operations Research, vol. 66, no. 1, pp. 42–57.

Taslimi, M., Batta, R. and Kwon, C. (2017) “A Comprehensive Modeling Framework for Hazmat Network Design, Hazmat Response Team Location, and Equity of Risk.” Computers & Operations Research, vol. 79, pp. 119–130.

Toumazis, I., Kurt, M., Toumazi, A., Karacosta, L.G. and Kwon, C. (2017) “Comparative Effectiveness of Up To Three Lines of Chemotherapy Treatment Plans for Metastatic Colorectal Cancer.” MDM Policy & Practice, vol. 2, no. 2.

Zhang, A., EunKang, J. and Kwon, C. (2017) “Incorporating Demand Dynamics in Multi-Period Capacitated Fast-Charging Location Planning for Electric Vehicles.” Transportation Research Part B: Methodological, vol. 103, pp. 5–29.

Zhang, A., EunKang, J., Axhausen, K. and Kwon, C. (2018) “Multi-Day Activity-Travel Pattern Sampling Based on Single-Day Data.” Transportation Research Part C: Emerging Technologies, vol. 89, pp. 96–112.

Nekooeimehr, I., Lai-Yuen, S., Bao, P., Weitzenfeld, A., and Hart, S. (2018) “Automated Contour Tracking and Trajectory Classification of Pelvic Organs on Dynamic MRI,” SPIE Journal of Medical Imaging, 5(1).

Onal, S., Chen, X., Lai-Yuen, S., and Hart, S. (2017) “Automatic Vertebra Segmentation on Dynamic MRI,” SPIE Journal of Medical Imaging, 4(1).

Nekooeimehr, I., and Lai-Yuen, S., (2016) “Adaptive Semi-Unsupervised Weighted Oversampling (A-SUWO) for Imbalanced Datasets”, Expert Systems with Applications, 46, pp. 405-416.

Sun, X., Mraied, H., Cai, W., Zhang, Q., Liang, G. and Li, M. (2018) "Bayesian Latent Degradation Performance Modeling and Quantification of Corroding Aluminum Alloys," Reliability Engineering & System Safety, Vol. 178, pp. 84-96.

Dahigamuwa, T., Gunaratne, M. and Li, M. (2018) "An Improved Data-Driven Approach for the Prediction of Rainfall-Triggered Soil Slides Using Downscaled Remotely Sensed Soil Moisture," Geosciences, Vol. 8, No. 9, 1-27, doi:10.3390/geosciences8090326

Chen, S., Kong, N., Sun, X., Meng, H. and Li, M. (2018) "Claims Data-driven Modeling of Hospital Time-to-readmission Risk with Latent Heterogeneity," Health Care Management Science, accepted,

Chen, S., Lu, L., Xiang, Y., Lu, Q. and Li, M. (2018) "A Data Heterogeneity Modeling and Quantification Approach for Field Pre-assessment of Chloride-Induced Corrosion in Aging Infrastructures," Reliability Engineering & System Safety, Vol. 171, pp. 123-135.

Shireen, T., Shao, C., Wang, H., Li, J., Zhang, X. and Li, M. (2018) "Iterative Multi-task Learning for Time-series Modeling of Solar Panel PV Outputs," Applied Energy, Vol. 212, pp. 654-662.

Zhu, Z., Xiang, Y., Li, M. and Schneider, K. (2017) "Preventive Maintenance subject to Equipment Unavailability," IEEE Transactions on Reliability, accepted.

Sakib, N., Sun, X., Kong, N., Meng, H. and Li, M. (2017) "Bi-level Heterogeneity Modeling of Functional Performance Degradation for the Aging Population," IISE Transactions on Healthcare Systems Engineering, Vol. 7, No. 3, pp. 156-167.

Li, M., Meng, H. and Zhang, Q. (2017) "A Nonparametric Bayesian Modeling Approach for Heterogeneous Lifetime Data with Covariates," Reliability Engineering & System Safety, Vol. 167, pp. 95-104.

Chen, S., Lu. L. and Li, M. (2017) "Multi-state Reliability Demonstration Tests," Quality Engineering, Vol. 29, No. 3, pp. 431-445.

Li, M., Zhang, W., Hu, Q., Guo, H. and Liu, J. (2017) "Design and Risk Evaluation of Reliability Demonstration Test for Hierarchical Systems with Multilevel Information Aggregation," IEEE Transactions on Reliability, Vol. 66, No. 1, pp. 135-147.

Li, M., Han, J. and Liu, J. (2017) "Bayesian Nonparametric Modeling of Heterogeneous Time-to-event Data with an Unknown Number of Sub-populations," IISE Transactions, Vol. 49, No. 5, pp. 481-492.

Sun, X., Lou, Z., Li, M., Kong, N. and Parikh, P. (2017) "Predictive Modeling of Care Demand and Transition," Book chapter 6 in Stochastic Modeling and Analytics in Healthcare Systems, Word Scientific Publishing, pp. 135-166.


Silva, W. and Das, T. K. (2017) Estimating Disease Burden of a Potential A (H7N9) Pandemic Influenza Outbreak in the United States. BMC Public Health, 17 (1), 898.

Garcia-Arce, A., Rico, F. and Zayas-Castro, J. L. (2018) “Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions.” Journal for Healthcare Quality, 40(3), 129-138.

Martinez, D.A., Feijoo, F., Zayas-Castro, J. L., Levin, S. and Das, T. K. (2018) A strategic gaming model for health information exchange markets. Health care management science, 21(1), 119-130.

Mendoza-Alonzo, J., Zayas-Castro, J., and Soto-Sandoval, K. (2018) Osteonecrosis in Individuals with Systemic Lupus Erythematosus: A Predictive Model. Reumatologia clinica.