Pirooz Vakili, Ph.D.
Ph.D., Harvard University
Modeling, analysis, optimization and control of stochastic systems * Development of efficient Monte Carlo methods for performance and sensitivity evaluation and optimization * Development of efficient computational methods for computational finance and computational biology * Analysis and optimization of investment decisions in New Product Development * Financing and contract design for grid-connected green distributed resources
Professor Vakili teaches undergraduate courses in simulation and statistical quality control and graduate courses in Stochastic Processes and optimization. His research interests include modeling, analysis, optimization and control of stochastic systems with emphasis on efficient Monte Carlo methods, Computational finance; Computational structural biology with emphasis on protein docking; Analysis and optimization of investment decisions of firms in product and technology development; Financing and contract design to promote widespread adoption of grid-connected renewable distributed energy and services.
Professor Vakili is a faculty member and Associate Head of the Division of Systems Engineering and a member of Center for Computational Science at Boston University. He is an Associate Editor of Automatica and he has been on the organizing committees of several international conferences.
- Kulatilaka, N., Santiago, L., and Vakili, P., “Reallocating Risks and Returns to Over come Barriers to Scale up of Distributed Electricity Resources,” to appear in Energy Policy, 2014.
- Kozakov, D., Lee, K., Hall, D., Zheng, J., Vakili, P., Schueler-Furman, O., Paschalidis, I. Ch., Clore, M. and Vajda, S., “Encounter complexes and dimensionality reduction in protein-protein association,” to appear in eLife, 2014.
- Mirzaei, M., Villar, E., Mottarella, S., Beglov, D., Paschalidis, I., Vajda, S., Kozakov, D., Vakili, P.,, “Flexible Renement of Protein-Ligand Docking on Manifolds,” Proceedings of the 52nd IEEE Conference on Decision and Control, Florence, Italy, pp. 1392-1397, Dec. 2013.
- Borogovac, T., Sun, N., and Vakili, P. ”Perturbation Analysis and Variance Reduction in Monte Carlo Simulation,” Stochastic Simulation Optimization for Discrete Event Systems: Perturbation Analysis, Ordinal Optimization, and Beyond, Ch 3, pp. 45-62, July 2013.
- Mirzaei, H., Beglov, D., Paschalidis, I. Ch., Vajda, S., Vakili, P., and Kozakov, D. “Rigid Body Energy Minimization on Manifolds for Molecular Docking,” Journal of Chemical Theory and Computation, 8, pp. 4374-4380, 2012.
- Mirzaei, H., Kozakov, D., Beglov, D., Paschalidis, I. Ch., Vajda, S., and Vakili, P., “A New Approach to Rigid Body Energy Minimization with Application to Molecular Docking,” Proceedings of the 51st IEEE Conference on Decision and Control, pp. 2983-2988, Dec. 2012.
- Moghadasi, M., Kozakov, D., Mamonov, A., Vakili, P., Vajda, S., and Paschalidis, I. Ch., “A Message Passing Approach to Side Chain Positioning with Applications in Protein Docking Renement,” Proceedings of the 51st IEEE Conference on Decision and Control, pp. 2310-2315, Dec. 2012.
- Borogovac, T., Sun, N., and Vakili, P. “Control Variates for Sensitivity Estimation,” Proceedings of the 2010 Winter Simulation Conference, pp. 2624-2641, Dec 2010.