LabCompass

Zedong Peng

Decision Sciences · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2019Rising activity
Risk and Portfolio OptimizationQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureAdvanced Optimization Algorithms ResearchProcess Optimization and Integration

Publications

14

Citations

76

Est. group size

—

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Zedong Peng works on optimization methods for large-scale decision problems, including portfolio optimization, quadratic and linear programming solvers accelerated by GPUs and quantum computing, and planning/scheduling under uncertainty in energy and supply chain systems. Their work spans both algorithm design (e.g., branch-and-bound, first-order solvers) and applications such as shale gas field development and supply chain management.

Optimization algorithmsQuantum and GPU-accelerated computingPortfolio and financial optimizationPlanning and scheduling under uncertaintyEnergy systems and supply chain modeling

Publication activity was sparse and irregular from 2017-2023 but has grown noticeably from 2024 onward, suggesting increasing recent output.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
17182019: 2 publications19202021: 2 publications212022: 1 publication22232024: 3 publications242025: 4 publications4252026: 2 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • AIChE Journal×2
  • Industrial & Engineering Chemistry Research×1
  • Physical Review Applied×1
  • Journal of Global Optimization×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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