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Ruiwei Jiang’s research focuses on discrete optimization under uncertainty. Many practical engineering problems search for good discrete decisions under uncertain or even incomplete inputs. Ruiwei’s research aims to develop data-enabled stochastic optimization (DESO) models and solution methodology that bring together data analytics, integer programming, stochastic programming, and robust optimization. Together with his collaborators, Ruiwei applies DESO approaches to various engineering problems, including power and water system operations, renewable energy integration, and healthcare resource scheduling.
Ruiwei Jiang’s research focuses on discrete optimization under uncertainty. Many practical engineering problems search for good discrete decisions under uncertain or even incomplete inputs. Ruiwei’s research aims to develop data-enabled stochastic optimization (DESO) models and solution methodology that bring together data analytics, integer programming, stochastic programming, and robust optimization. Together with his collaborators, Ruiwei applies DESO approaches to various engineering problems, including power and water system operations, renewable energy integration, and healthcare resource scheduling.
研究兴趣
论文共 49 篇作者统计合作学者相似作者
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ICLR 2024 (2024)
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arxiv(2024)
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arXiv (Cornell University)no. 99 (2023): 1-16
Omega (2023): 102872-102872
IEEE Transactions on Power Systemsno. 99 (2023): 1-13
2023 IEEE Power & Energy Society General Meeting (PESGM)pp.1-5, (2023)
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Social Science Research Network (2022)
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