Research
Recent Faculty Publications
Selected Publications of IMSE Faculty 2022-2023 (*Indicates IMSE PhD students /graduates)
*Mohammad Noroozi, Ankit Shah, 鈥淭owards optimal foreign object debris detection in an airport environment,鈥� 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, 鈥淭owards optimal triage and mitigation of context-sensitive cyber vulnerabilities,鈥�
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, 鈥淎 reinforcement learning approach for rebalancing electric vehicle sharing systems,鈥� 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 鈥淎 Noise-robust Koopman Spectral Analysis of an Intermittent Dynamics Method for Complex Systems: A Case Study in Pathophysiological Processes of Obstructive Sleep Apnea鈥�. IISE Transactions on Healthcare Systems Engineering. 2022 Oct 27.
*P. Huynh, A. Setty, Q. Tran, O. Yadav, N. Yodo, T. Le 鈥淎 Domain-knowledge Modeling of Hospital-acquired Infection Risk in Healthcare Personnel from Retrospective Observational Data: A Case Study for COVID-19 鈥�, 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) 鈥淓quitable 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鈥�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). 鈥淚dentifying children at highest readmission risk: an empirical assessment of machine learning algorithms for common acute and chronic conditions.鈥� Machine Learning with Applications.
*Symum, H., and Zayas-Castro, J. (2022). 鈥淚mpact of the COVID-19 Pandemic on the Pediatric Hospital Visits: Evidence from the State of Florida.鈥� Pediatric Reports. https://doi.org/10.3390/pediatric14010010
*N. Sakib, X. Sun, N. Kong, C. Masterson, H. Meng, K. Smith and M. Li, 鈥淗eterogeneous length-of-stay modeling of post-acute care residents in the nursing home with competing discharge dispositions鈥�, Frontiers of Engineering Management, volume 9, pages 577鈥�591, 2022
*N. Sakib, K. Hyer, D. Dobbs, L. Peterson, D. Jester, N. Kong and M. Li, 鈥淎 GIS enhanced data analytics approach for predicting nursing home hurricane evacuation response鈥�, 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, 鈥淛oint maintenance planning of deteriorating co-located road and water infrastructures with interdependencies鈥�, 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, 鈥淎 Continuous-time Stochastic Modeling Approach for Measuring and Monitoring the Cascade of Care for Patients with Alcohol Use Disorder鈥�, 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*, 鈥淎 latent survival model integrated computer simulation-based evaluation for nursing home staffing鈥�, 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鈥恜opulations. Quality and Reliability Engineering International.
S. Jiang, M. Li and N. Kong, 鈥淪tochastic Lookahead Optimization with Bayesian Forecasting鈥�, Book chapter in 鈥淓ncyclopedia of Optimization鈥�, under review.
Z. Lou, M. Li, N. Kong, N. Campbell, and W. Tu 鈥淎n Improved Prediction Modeling Approach to Individual Drug Use Trend Analysis鈥�, submitted to IEEE Journal of Biomedical and Health Informatics.
Dorent, R., et al., 鈥淐rossMODA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation,鈥� 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., 鈥淟evator Ani Subtended Volume (eLASV): A Predictive Biomarker for Surgical Outcomes Following Native Tissue Apical Repair,鈥� 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., 鈥淐-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation Framework for Medical Image Segmentation,鈥� 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.