Bastian, N. (2020). Building the Army’s Artificial Intelligence Workforce. The Cyber Defense Review, 5(2): XX-XX.
Wilkinson, C., Bastian, N. & Kwon, M. (2020). Beyond Traditional Architecture for MDO Applications: the Erlang VM and its Potential. Proceedings of the 2020 SPIE Conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II (Ed. Pham et al.), pp. XX-XX. SPIE Defense and Commercial Sensing (Volume: DL 11413).
Bastian, N., Lunday, B., Fisher, C. & Hall, A. (2020). Models and Methods for Workforce Planning Under Uncertainty: Optimizing U.S. Army Cyber Branch Readiness and Manning. Omega, 92(102171): 1-13.
Bastian, N. & Hall, A. (2020). Military Workforce Planning and Manpower Modeling. In Natalie Scala & James Howard (Ed.), Handbook of Military and Defense Operations Research (pp. 83-112). Boca Raton, FL: CRC Press.
Robbins, M., Jenkins, P., Bastian, N. & Lunday, B. (2020). Approximate Dynamic Programming for the Aeromedical Evacuation Dispatching Problem: Value Function Approximation using Multiple Level Aggregation, Omega, 91(102020): 1-17.
Kiely, T. & Bastian, N. (2020). The Spatially Conscious Machine Learning Model. Statistical Analysis and Data Mining: The ASA Data Science Journal, 13(1): 31-49.
Maxwell, P., Alhajjar, E. & Bastian, N. (2019). Intelligent Feature Engineering for Cybersecurity. Proceedings of the 2019 IEEE International Conference on Big Data, pp. 5005-5011. IEEE.
Bastian, N., Fisher, C., Hall, A. & Lunday, B. (2019). Solving the Army’s Cyber Workforce Planning Problem using Stochastic Optimization and Discrete-Event Simulation Modeling. Proceedings of the 2019 Winter Simulation Conference (Ed. Mustafee et al.), pp. 738-749. IEEE.
Shetty, S., Ray, I., Celik, N., Mesham, M., Bastian, N. & Zhu, Q. (2019). Simulation for Cyber Risk Management – Where are we, and where do we want to go. Proceedings of the 2019 Winter Simulation Conference (Ed. Mustafee et al.), pp. 726-737. IEEE.
Bastian, N. (2019). Information Warfare and its 18th and 19th Century Roots. The Cyber Defense Review, 4(3): 31-37.
Fulton, L. & Bastian, N. (2019). Multi-Period Stochastic Programming Portfolio Optimization for Diversified Funds. International Journal of Finance and Economics, 24(1): 313-327.
Bastian, N., Swenson, E., Ma, L., Suk Na, H. & Griffin, P. (2017). Incentive Contract Design for Food Retailers to Reduce Food Deserts in the US. Socio-Economic Planning Sciences, 60: 87-98.
Paradarami, T., Bastian, N. & Wightman, J. (2017). A Hybrid Recommender System Using Artificial Neural Networks. Expert Systems with Applications, 83: 300-313.
Bastian, N., Ekin, T., Kang, H., Griffin, P., Fulton, L. & Grannan, B. (2017). Stochastic Multi-Objective Auto-Optimization for Resource Allocation Decision-Making in Fixed-Input Health Systems. Health Care Management Science, 20(2): 246-264.
Ekin, T., Kocadagli, O., Bastian, N., Fulton, L. & Griffin, P. (2016). Fuzzy Decision-Making in Health Systems: A Resource Allocation Model. EURO Journal on Decision Processes, 4(3): 245-267.
Bastian, N. & Griffin, P. (2016). Multi-Criteria Network Design in Health and Humanitarian Logistics. In A. Ravi Ravindran (Ed.), Multiple Criteria Decision Making in Supply Chain Management (pp. 161 – 189). Boca Raton, FL: CRC Press.
Swenson, E., Bastian, N. & Nembhard, H. (2016). Data Analytics in Health Promotion: Health Market Segmentation and Classification of Total Joint Replacement Surgery Patients. Expert Systems with Applications, 60: 118-129.
Bastian, N., Griffin, P., Spero, E. & Fulton, L. (2016). Multi-Criteria Logistics Modeling for Military Humanitarian Assistance and Disaster Relief Aerial Delivery Operations. Optimization Letters, 10(5): 921-953.
Griffin, P., Nembhard, H., DeFlitch, C., Bastian, N., Kang, H. & Munoz, D. (2016). Healthcare Systems Engineering. Hoboken, NJ: John Wiley & Sons, Inc.
Bastian, N., McMurry, P., Fulton, L., Griffin, P., Cui, S., Hanson, T., & Srinivas, S. (2015). The AMEDD Uses Goal Programming to Optimize Workforce Planning Decisions. INFORMS Journal of Applied Analytics (formerly Interfaces), 45(4): 305-324.
Grannan, B., Bastian, N. & McLay, L. (2015). A Maximum Expected Covering Problem for Locating and Dispatching Two Classes of Military Medical Evacuation Air Assets. Optimization Letters, 9(8): 1511-1531.
For a full list of publications, please refer to Nathan’s Google Scholar page.