Stacy D. Hill received the B.S. and M.S. degrees from Howard University in 1975 and 1977, respectively, and the D.Sc. in Systems Science and Mathematics from Washington University in St. Louis, in 1983. Since 1983 he has been on the Senior Professional Staff of the Johns Hopkins University Applied Physics Laboratory. Dr. Hill is a Research Faculty member of the Applied and Computational Mathematics (ACM) Program and also serves on the program’s Advisory Board.
- M.S. Mathematics, Howard University
- D.Sc. Systems Science and Mathematics, Washington University
Senior Professional Staff, JHU Applied Physics Laboratory
“Stationarity and Convergence of the Metropolis-Hastings Algorithm,” S.D. Hill and J.C. Spall, IEEE Control Systems Magazine, February 2019, pp. 56-67.
“Discrete Optimization with Noisy Objective Function Measurements,” S.D. Hill, Wiley Encyclopedia of Operations Research and Management Science, March 2014 (DOI: 10.1002/9780470400531.eorms1094).
“Inequality-based reliability estimates for complex systems,” S.D. Hill, J.C. Spall, and C.J. Maranzano, Naval Research Logistics, vol. 60, pp. 367-374, 2013.
“Inequality-Based Reliability Estimates for Complex Systems,” S.D. Hill, J.C. Spall, C.J. Maranzano, Proceedings of the 2011 American Control Conference, June 29 – July 01, 2011, pp. 48-53.
“Variance of Bounds in Inequality-Based Reliability Estimates,” S.D. Hill and J.C. Spall, Proceedings of the 2007 American Control Conference, June 2007.
“Theoretical Framework for Comparing Several Stochastic Optimization Approaches,” J.C. Spall, S.D. Hill, and D.R. Stark, in Probabilistic and Randomized Methods for Design under Uncertainty, G. Calafiore and F. Dabbene, eds., Springer, Berlin, pp. 99-118 (2006)
“Discrete Stochastic Approximation with Application to Resource Allocation,” S. D. Hill, JHU/APL Technical Digest, January-March 2005, vol. 26, no. 1, pp. 15-21
Honors and Awards
- IIE Transactions on Operations Engineering Best Paper Award, for the paper, “Optimization of Discrete Event Systems via Simultaneous Perturbation Stochastic Approximation”; (co-author Michael Fu) (1998)