Research

Recent Faculty Publications

Selected Publications of IMSE Faculty 2022-2023 (*Indicates IMSE PhD students /graduates)

*Mohammad Noroozi, Ankit Shah, “Towards optimal foreign object debris detection in an airport environment,” Elsevier Expert Systems with Applications (ESWA), Volume 213, Part A, 2023. DOI: https://doi.org/10.1016/j.eswa.2022.118829

*Soumyadeep Hore, *Fariha Moomtaheen, Ankit Shah, Xinming Ou, “Towards optimal triage and mitigation of context-sensitive cyber vulnerabilities,” IEEE Transactions on Dependable and Secure Computing (TDSC), 2022. First Online: 22 February 2022. DOI: 10.1109/TDSC.2022.3152164
 
Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam, "Maintaining the level of operational effectiveness of a CSOC under adverse conditions," Springer International Journal of Information Security (IJIS), Vol. 21, 2022, pages 637-651. DOI: 10.1007/s10207-021-00573-4

*Aigerim Bogyrbayeva, Sungwook Jang, Ankit Shah, Young Jae Jang, Changhyun Kwon, “A reinforcement learning approach for rebalancing electric vehicle sharing systems,” IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 7, 2022, pages 8704-8714. DOI: 10.1109/TITS.2021.3085217

Ankit Shah, Katheryn A. Farris, Rajesh Ganesan, Sushil Jajodia, "Vulnerability selection for remediation: An empirical analysis," Journal of Defense Modeling and Simulation (JDMS), Vol. 19, No. 1, 2022, pages 13-22. DOI:  10.1177/1548512919874129

*P Huynh, A. Setty, T. Le, T. Le “A Noise-robust Koopman Spectral Analysis of an Intermittent Dynamics Method for Complex Systems: A Case Study in Pathophysiological Processes of Obstructive Sleep Apnea”. IISE Transactions on Healthcare Systems Engineering. 2022 Oct 27.

*P. Huynh, A. Setty, Q. Tran, O. Yadav, N. Yodo, T. Le “A Domain-knowledge Modeling of Hospital-acquired Infection Risk in Healthcare Personnel from Retrospective Observational Data: A Case Study for COVID-19 “, PloS One, 2022, Nov 21;17(11).

Abdel-Mottaleb, N.; *Saghand, P.G.; Wakhungu, M.J.; Charkhgard, H.; Wells, E.C.; Zhang, Q. (2022)  Identifying Critical Isolation Valves in a Water Distribution Network: A Socio-Technical Approach. Water, 14, 3587. https://doi.org/10.3390/w14213587

Martin, J., Richardson, M., Passeri, D., Enwright, N., Yurek, S., Flocks, J., Eaton, M., Zeigler, S., Charkhgard, H., Udell, B., Irwin, E (2023). Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems". Ecology and Society. To appear.

Charkhgard, H., Keshanian , K., Esmaeilbeigi, R., Charkhgard, P. The Magic of Nash Social Welfare in Optimization: Do Not Sum, Just Multiply!". The ANZIAM Journal, 64(2), 119-134. doi:10.1017/S1446181122000074

*Haider, Z., Hu, Y., Charkhgard, H., Himmelgreen, D., Kwon, C. (2022) Creating Grocery Delivery Hubs for Food Deserts at Local Convenience Stores via Spatial and Temporal Consolidation". Socio-Economic Planning Sciences. 82: 101301.

*Mahmoodian, V., Dayarian, I., *Ghasemi Saghand, P., Zhang, Y., Charkhgard, H. (2022) A Criterion Space Branch-And-Cut Algorithm For Mixed Integer Bi- Linear Maximum Multiplicative Programs". INFORMS Journal on Computing, 34(3): 1453-1470.

Rasmi, S. A. B., Wang, Y., Charkhgard, H., Lee, L. H., (2022) Wave Order Picking Under the Mixed-Shelves Storage Strategy: a Solution Method and Advantages". Computers & Operations Research. 137, 105556. 

*Ghasemi Saghand, P., Charkhgard,H. (2022) Exact Solution Approaches for Integer Linear Generalized Maximum Multiplicative Programs Through the Lens of Multi-objective Optimization". Computers & Operations Research. 137, 105549.

*Ghasemi Saghand, P., Charkhgard, H. (2022)  A Criterion Space Search Algorithm for Mixed Integer Linear Maximum Multiplicative Programs: A Multi-objective Optimization Approach". International Transactions in Operational Research, 29: 1659-1687.

*Dai, R., Charkhgard, H., Rigterink. F. (2022) A robust bi-objective optimization approach for operating a shared energy storage under price uncertainty". International Transactions in Operational Research, 29: 1627-1658.

*Ghasemi Saghand, P., Rigterink, F., *Mahmoodian, V., Charkhgard, H. (2023) Solving Multiplicative Programs by Binary-encoding the Multiplication Operation". Computers & Operations Research. Under Revision.

*Haider, Z., Charkhgard, H., Kim, S. W., Kwon, C. (2023) Optimizing Static Relocation Operations of Free Floating Electric Vehicle Sharing Systems ". Submitted to IISE Transactions.  

*Sierra Altamiranda, A., Charkhgard, H., Dayarian, I., Eshragh, A., Javadi, S. (2023) Learning to Project in Multi-Objective Binary Linear Programming". Submitted to Optimization Letters.

Y. Tu, M. Eslami, Z. Xu and H. Charkhgard, "Multi-Query Optimization Revisited: A Full-Query Algebraic Method," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 252-261, doi: 10.1109/BigData55660.2022.10020338.

*Noroozi, M., *Moghaddam, H. R.,  Shah, A., Charkhgard, H., Sarkar, S., Das, T. L., and Pohland  T. (2023), An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption, IEEE Transactions on Intelligent Vehicles. Under revision. 

*Mahmoodian, V., Charhgard H.,  Dayarian, I. (2023) “Equitable Workload Allocation in Vehicle Routing Problem with Heterogeneous Drivers". Productions and Operations Management, under revision. 

*Mahmoudinazlou, S., Kwon, C. "A Hybrid Genetic Algorithm with Type-Aware Chromosomes for Traveling Salesman Problems with Drone", Submitted to European Journal of Operational Research.

*Mahmoudinazlou, S., Kwon, C. "A Hybrid Genetic Algorithm for the min-max Multiple Traveling Salesman Problem", Submitted to Computers & Operations Research

Kim, H., J. Park, C. Kwon. "A Neural Separation Algorithm for the Rounded Capacity Inequalities" , Submitted.

Liu, X., S. H. Chung, C. Kwon. "An Adaptive Large Neighborhood Search Method for the Drone-Truck Arc Routing Problem", Submitted. 

*Bogyrbayeva, A., T. Yoon, H. Ko, S. Lim, H. Yun, C. Kwon. (2023) A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone. Transportation Research Part C: Emerging Technologies, 148, 103981 

*Bogyrbayeva A., S. Jang, A. Shah, Y. J. Jang, C. Kwon. (2022) A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8704–8714.

Park, J. C. Kwon, J. Park. (2023) Learn to solve the min-max multiple traveling salesmen problem with reinforcement learning. The 22nd International Conference on Autonomous Agents and Multiagent Systems, 9 pages.

Kim, H., M. Kim, C. Kwon, J. Park. (2022) Neural Coarsening Process for Multi-level Graph Combinatorial Optimization. NeurIPS 2022 GLFrontiers Workshop, 16 pages.

Shuvo, S. S., *Symum, H., Ahmed, M. R., Yilmaz, Y., & Zayas-Castro, J. (2022). "Multi-Objective Reinforcement Learning Based Healthcare Expansion Planning Considering Pandemic Events."  IEEE Journal of Biomedical and Health Informatics Print ISSN: 2168-2194 Online ISSN: 2168-2208 Digital Object Identifier: 10.1109/JBHI.2022.3187950

*Symum, H., & Zayas-Castro, J. (2022). “Identifying children at highest readmission risk: an empirical assessment of machine learning algorithms for common acute and chronic conditions.” Machine Learning with Applications. 

*Symum, H., and Zayas-Castro, J. (2022). “Impact of the COVID-19 Pandemic on the Pediatric Hospital Visits: Evidence from the State of Florida.”  Pediatric Reports. https://doi.org/10.3390/pediatric14010010

*N. Sakib, X. Sun, N. Kong, C. Masterson, H. Meng, K. Smith and M. Li, “Heterogeneous length-of-stay modeling of post-acute care residents in the nursing home with competing discharge dispositions”, Frontiers of Engineering Management, volume 9, pages 577–591, 2022 

*N. Sakib, K. Hyer, D. Dobbs, L. Peterson, D. Jester, N. Kong and M. Li, “A GIS enhanced data analytics approach for predicting nursing home hurricane evacuation response”, Health Information Science and Systems (2022) 10:28 https://doi.org/10.1007/s13755-022-00190-y 

*H. Nguyen, N. Abdel-Mottaleb, S. Uddin, Q. Zhang, Q. Lu, H. Zhang and M. Li, “Joint maintenance planning of deteriorating co-located road and water infrastructures with interdependencies”, Reliability Engineering & System Safety, Volume 226, October 2022, https://doi.org/10.1016/j.ress.2022.108678 

*Y. Kuang, D. Das, M. Li and K. Johnson, “A Continuous-time Stochastic Modeling Approach for Measuring and Monitoring the Cascade of Care for Patients with Alcohol Use Disorder”, Proceedings of the IISE Annual Conference & Expo 2022 K. Ellis, W. Ferrell, J. Knapp, eds.

*X. Sun, N. Kong, Y. Zhao, *N. Sakib, C. Meng, H. Meng, K. Hyer, M. Li, C. Masterson and M. Li*, “A latent survival model integrated computer simulation-based evaluation for nursing home staffing”, Computers & Industrial Engineering,.

*Nguyen, H., Sun, X., Lu, Q., Zhang, Q., & Li, M. (2023). Bayesian heterogeneous degradation performance modeling with an unknown number of sub‐populations. Quality and Reliability Engineering International.

S. Jiang, M. Li and N. Kong, “Stochastic Lookahead Optimization with Bayesian Forecasting”, Book chapter in “Encyclopedia of Optimization”, under review.

Z. Lou, M. Li, N. Kong, N. Campbell, and W. Tu “An Improved Prediction Modeling Approach to Individual Drug Use Trend Analysis”, submitted to IEEE Journal of Biomedical and Health Informatics.

Dorent, R., et al., “CrossMODA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation,” Medical Image Analysis, 83, 2023. https://doi.org/10.1016/j.media.2022.102628  (S. Lai-Yuen)

Wyman, A. M., Salemi, J. L., Greene, K. A., Bassaly, R., Kedar, R., Lai-Yuen, S., and Hoyte, L., “Levator Ani Subtended Volume (eLASV): A Predictive Biomarker for Surgical Outcomes Following Native Tissue Apical Repair,” Female Pelvic Medicine and Reconstructive Surgery, 2022. https://doi.org/10.1097/spv.0000000000001142  

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.

Baldeon Calisto, M., and Lai-Yuen, S., “C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation Framework for Medical Image Segmentation,” SPIE Medical Imaging, San Diego, CA, February 20-24, 2022. 

*Paudel, D. and Das, T. K. 2022 Infrastructure planning for ride-hailing services using shared autonomous electric vehicles. International Journal of Sustainable Transportation, https://doi.org/10.1080/15568318.2022.21

Subramanian, V., Feijoo, F., Sankaranarayanan, S., *Melendez, K., Das T. K. 2022. A bilevel conic optimization model for routing and charging of EV fleets serving long distance delivery networks. Energy, 251, https://doi.org/10.1016/j.energy.2022.123808

Gonzalez, S., Feijoo, F., Bassoa, F., Subramanian, V., Sankaranarayanan, S., Das, T. K. 2022. Routing and charging facility location for EVs under nodal pricing of electricity: A bilevel model solved using special ordered set. IEEE Transactions on Smart Grid, vol. 13, no. 4, pp. 3059-3068, July 2022, doi: 10.1109/TSG.2022.3159603.