Grants & Projects per year
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Collaborations and top research areas from the last five years
Grants & Projects
- 17 Finished
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SPIR Internship Agreement for Ruolan Sun: Advanced Machine Learning for Portfolio Optimization
Polak, P. (PI) & Uryasev, S. (CoPI)
05/18/26 → 08/21/26
Project: Research
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SPIR Internship Agreement for Juan Perez Osorio: Course Preparation for Financial Engineering Nearest Neighbors (FENN)
Uryasev, S. (PI), Polak, P. (CoPI) & Yu, Y. (CoI)
01/29/26 → 06/3/26
Project: Research
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SPIR Internship Agreement Zilin Chen: Barret Shao- Application of Machine Learning Techniques in High-Dimensional Financial Analysis Project
Polak, P. (PI), Uryasev, S. (CoPI) & Yu, Y. (CoI)
08/25/25 → 08/21/26
Project: Research
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SPIR Internship for Cheng Peng: Custom risk model from alpha factor library
Uryasev, S. (PI) & Polak, P. (CoPI)
Tower Research Capital Limited Liability Company
06/10/25 → 12/26/25
Project: Research
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SPIR Internship for Zhishu Zhang & Ruolan Sun: Machine Learning Techniques for Optimal Portfolio Construction
Polak, P. (PI) & Uryasev, S. (CoPI)
05/26/25 → 05/15/26
Project: Research
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Mixture quantiles estimated by constrained linear regression
Peng, C., Li, Y. & Uryasev, S., 2026, (Accepted/In press) In: Annals of Operations Research.Research output: Contribution to journal › Article › peer-review
Open Access -
STOCHASTIC OPTIMIZATION APPROACH FOR PREDICTING HORSE RACING OUTCOMES
Li, Y. & Uryasev, S., 2026, In: Journal of Applied and Numerical Optimization. 8, 1, p. 1-10 10 p.Research output: Contribution to journal › Article › peer-review
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The risk quadrangle in optimization: An overview with recent results and extensions
Grechuk, B., Malandii, A., Rockafellar, R. T. & Uryasev, S., 2026, In: EURO Journal on Computational Optimization. 14, 100129.Research output: Contribution to journal › Article › peer-review
Open Access -
Biliverdin reductase B as a new target in breast cancer
Marchenko, N., Nesbitt, N. M., Alexandrova, E., Reisz, J. A., D’Alessandro, A., Suh, J., Uryasev, S., Pennacchia, L. & Bahou, W. F., Dec 2025, In: Breast Cancer Research. 27, 1, 179.Research output: Contribution to journal › Article › peer-review
Open Access -
Error control and Neyman–Pearson classification with buffered probability and support vectors
Norton, M., Chiang, L. & Uryasev, S., Dec 2025, In: Computational Optimization and Applications. 92, 3, p. 951-985 35 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations