Qian, W., Bhowmick, S., Mikler, A. R., O'Neill II, M., Ramisetty-Mikler, S. (2020). A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks. International Conference on Computational Science 2020.
Gwalani, H., O'Neill, M. J., Alam, T., Mikler, A. R., Banerjee, R. (2019). Compositional Analysis for Metallic Systems: Sampling Methods. 2019, 303 - 316. Industrial Conference on Data Mining (ICDM) 2019.
Gwalani, H., Mikler, A. R., Ramisetty-Mikler, S., O'Neill II, M. (2017). Collection and Integration of Multi-spatial and Multi-type Data for Vulnerability Analysis in Emergency Response Plans. Proceedings of Enviroinfo 2016, Advances and New Trends in Environmental Informatics 2017.
Jimenez, T., Tiwari, C., Mikler, A. R., O'Neill II, M. (2012). Maps, Rates, and Fuzzy Mountains: Generating Meaningful Risk Maps. Philadelphia, PA: IEEE International Conference on Bioinformatics and Biomedicine.
O'Neill II, M., Mikler, A. R., Schneider, T. (2011). An Extensible Software Architecture to Facilitate Disaster Response Planning. Las Vegas, NV: Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology.
Schneider, T., Mikler, A. R., O'Neill II, M. (2009). Computational Tools for Evaluating Bioemergency Contingency Plans. New Forest: Proceedings of the 2009 International Conference on Disaster Management.
Schneider, T., Mikler, A. R., O'Neill II, M. (2009). Analyzing Response Feasibility for Bioemergencies. Shanghai: Proceedings of the 2009 International Joint Conferences on System Biology, Bioinformatics and Intelligent Computing.
Dantu, R., Abbas, K., O'Neill II, M., Mikler, A. R. (2004). Data Modeling of Environmental Sensor Networks. EEE GLOBECOM Workshop on Adaptive Wireless Networks.
Qian, W., Bhowmick, S., O'Neill, M., Ramisetty-Mikler, S., Mikler, A. R. (2021). Applying a Probabilistic Infection Model for studying contagion processes in contact networks. Journal of Computational Science. 54, . Elsevier. https://www.sciencedirect.com/science/article/abs/pii/S1877750321001046?via%3Dihub
Pan, F., Nagaoka, L., Wolverton, S. J., Atkinson, S. F., Kohler, T. A., O'Neill II, M. (2021). A Constrained Stochastic Weather Generator for Daily Mean Air Temperature and Precipitation. Atmosphere. 12(2), 22 pgs..
Gwalani, H., Gwalani, B., O'Neill, M. J., Mikler, A. R., Banerjee, R. (2019). Simulation of solute clusters in metallic systems. 27(8), 25. IOP Publishing.
King, J. M., Tiwari, C., Mikler, A. R., O'Neill, M. J. (2018). Challenges of Designing and Implementing High Consequence Infectious Disease Response. Other. 1--4. Cambridge University Press.
Indrakanti, S., Mikler, A. R., O'Neill, M. (2016). Quantifying Access Disparities in Response Plans. PLOS One. Denton:.
Ramisetty-Mikler, S., Mikler, A. R., O'Neill, M. J., Komatz, J. (2015). Conceptual framework and quantification of population vulnerability for effective emergency response planning.. Other. 13(3), 227--238.
Ramisetty-Mikler, S., Mikler, A. R., O'Neill, M. J., Komatz, J. (2015). Conceptual framework and quantification of population vulnerability for effective emergency response planning.. Journal of Emergency Management. 13(3), 227-38.
O'Neill II, M., Mikler, A. R., Indrakanti, S., Tiwari, C., Jimenez, T. (2014). RE-PLAN: An Extensible Software Architecture to Facilitate Disaster Response Planning. IEEE Transactions on Systems, Man and Cybernetics: Systems.
Cleveland, A. D., Pan, D., Chen, J., Yu, C., Philbrick, J., O'Neill II, M. (2008). Analysis of the Health Information Needs and Health Related Internet Usage of a Chinese Population in the United States.