Lucas Condeixa

Lucas Condeixa

Doctoral Candidate

Aalto University

Lucas works with optimization methods under uncertainty for systems analysis.

His PhD research focuses on developing mathematical models for power systems Generation, Transmission, and Storage Expansion Planning (GTSEP). He is currently engaged with the implications of temporal reduction in GTSEP using different clustering algorithms.

Interests
  • Optimization under uncertainty
  • Power systems
  • Data-driven optimization
  • Robust and distributionally robust optimization
  • Risk Analysis
Education
  • MSc in Production Engineering (emph. in Operations Research), 2018

    Pontifical Catholic University of Rio de Janeiro

  • BSc in Production Engineering, 2015

    Rio de Janeiro State University

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