1. Pulsipher, J. L., Ovalle, D., Laird, C. D., and Grossmann, I. E. (2023). “Event Constrained Programming”. In Preparation.
  2. Kompalli, Ammari, B. L., Meraklı, M., S., Qian, Y., Pulsipher, J. L., Bynum, M., Furman, K. C., and Laird, C. D. (2023). “Computational Performance of Algebraic Modeling Languages with Alternate Solver Interfaces and Advanced Modeling Components”. In Preparation.
  3. Ammari, B. L., Johnson, E. S., Stinchfield, G., Kim, Taehun, Bynum, M., Hart, W. E., Pulsipher, J. L., and Laird, C. D. (2023). “Linear Model Decision Trees as Surrogates in Optimization of Engineering Applications”. Computers & Chemical Engineering. paper
  4. Pulsipher, J. L., Coutinho, L. D., Soderstrom, T. A., and Zavala, V. M. (Aug. 2022). “SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control”. In: Journal of Process Control 117, pp. 78–97. paper
  5. Pulsipher, J. L., Davidson, B. R., and Zavala, V. M. (Aug. 2022). “Random Field Optimization”. In: Computers & Chemical Engineering 165. paper
  6. Pulsipher, J. L., Zhang, W., Hongisto, T. J., and Zavala, V. M. (Jan. 2022). “A unifying modeling abstraction for infinite-dimensional optimization”. In: Computers & Chemical Engineering 156. paper
  7. Pulsipher, J. L. and Zavala, V. M. (Feb. 2020). “Measuring and optimizing system reliability: a stochastic programming approach”. In: Top 28.3, pp. 626–645. paper
  8. Pulsipher, J. L. and Zavala, V. M. (Sept. 2019). “A scalable stochastic programming approach for the design of flexible systems”. In: Computers & Chemical Engineering 128, pp. 69–76. paper
  9. Pulsipher, J. L., Rios, D., and Zavala, V. M. (July 2019). “A computational framework for quantifying and analyzing system flexibility”. In: Computers & Chemical Engineering 126, pp. 342–355. paper
  10. Pulsipher, J. L. and Zavala, V. M. (Nov. 2018). “A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty”. In: Computers & Chemical Engineering 119, pp. 302–308. paper
  11. Martin, R. A., Blackburn, L., Pulsipher, J. L., Franke, K., and Hedengren, J. D. (May 2017). “Potential benefits of combining anomaly detection with view planning for UAV infrastructure modeling”. In: Remote Sensing 9.5, p. 434. paper


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