Shunyu Wu (吴舜禹)

Optimization, Forecasting, and Quantitative Decision Methods

Ph.D. candidate at Shanghai Jiao Tong University working on optimization, forecasting, and quantitative modeling for large-scale operational settings.

Keywords

Shunyu Wu, shunyuwu, 吴舜禹, Optimization, Forecasting, Quantitative Modeling

About

I am a Ph.D. candidate in Control Science and Engineering at Shanghai Jiao Tong University. My research spans optimization, forecasting, quantitative modeling, and data-informed decision methods for large-scale real-world applications.

I work across forecasting, system modeling, optimization, and deployment: from quantitative analysis methods to fielded operational workflows in large-scale settings.

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Optimization Forecasting Quantitative Modeling Decision Methods Operational Systems Deployment Reliability

Shunyu Wu

Ph.D. Candidate, Shanghai Jiao Tong University

Optimization, forecasting, and deployable quantitative methods

3+

First-author publications

2

Deployment domains (Power, Water)

14

Students co-mentored (1 Ph.D. + 13 M.Sc.)

2026

Expected Ph.D. graduation

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Research Highlights

Optimization and Decision Methods

I study how predictive models and optimization procedures can be combined for better downstream decisions in practical settings.

Forecasting and Quantitative Modeling

I combine forecasting, system modeling, domain-informed structure, and operator knowledge to build analytical methods that fit real operational settings.

Reliable Implementation

I design quantitative workflows with validation checks, reliability safeguards, and operator-facing interfaces for long-running real-world applications.

Selected Publications

Journal article on resource scheduling and operational efficiency (IEEE TSG, 2025)

DOI: 10.1109/TSG.2025.3601238

Journal article on urban demand forecasting (ESWA, 2024)

DOI: 10.1016/j.eswa.2024.124508

Journal article on pressure modeling and uncertainty handling (IEEE TCSS, 2023)

DOI: 10.1109/TCSS.2023.3272330

For complete records, see Publications.

Selected Deployments

Energy-System Efficiency Optimization

Applied optimization workflow with stable long-run operation and measurable efficiency gains across multiple operating scenarios.

Details: Projects

Urban Operations Scheduling and Decision Support

Forecast-optimize workflow for scheduling and service-level coordination in a real-world demonstration setting.

Details: Projects

Common Academic Sections

Academic Service

• Conference reviewing: ICLR, AAAI, CDC, IFAC-related venues.
• Journal reviewing: IEEE TSMC Systems, IEEE TASE, IEEE TIV.
• Mentoring: 1 Ph.D. and 13 M.Sc. students co-mentored.

More: Service

News and Collaboration

• Publication status updates and deployment milestones.
• Ongoing collaborations in optimization, modeling, and quantitative analysis.
• Research contact and profile links for quick reach-out.

Browse: News and Contact

Visitor Insights

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Latest News

• 2026-02: Visual refresh with a softer interface style and 3D visitor globe.
• 2026-02: Site migrated from legacy URL shuanyuwu.github.io to shunyuwu-shaun.github.io.
• 2025-11: IEEE Transactions on Smart Grid paper indexed with DOI.
• 2025-08: New manuscripts on optimization and quantitative decision methods entered active submission and review cycles.
• 2025-05: An applied optimization workflow entered long-run production operation.