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Styliani Kampezidou

Postdoctoral Fellow
Digital Engineering Division

Dr. Styliani (Stella) Kampezidou is a Postdoctoral Fellow in the Digital Engineering Division focusing on Data-Driven Decision Making, including applications of Machine Learning and Optimization. She is a member of IEEE.

  • Doctor of Philosophy, Electrical & Computer Engineering, Georgia Institute of Technology, 2023
  • Master of Science, Operations Research, Georgia Institute of Technology, USA
  • Master of Science, Electrical & Computer Engineering, Georgia Institute of Technology, USA
  • Bachelor of Science, Electrical & Computer Engineering, University of Patras, Greece

  • Machine Learning: Time-Series, Signal Feature Engineering, Supervised Learning
  • Optimization: Large Scale Optimization, Continuous Optimization, Decentralized Optimization
  • Game Theory: Scalable Machine Learning Algorithms for Approximate Game Solutions

  • Future Factory Manufacturing and Supporting Applications for Equipment and Process Health Monitoring (Sponsor: The Boeing Company, Area: Machine Learning, Role: Software)
  • Data-Driven Logistics (Sponsor: Collins Aerospace, Area: Large-Scale Discrete Optimization, Data-Driven Decision Making, Role: Supervisory)
  • Modeling & Simulation for Planning & Workload Optimization (Sponsor: SLB, Area: Discrete Optimization, Data-Driven Decision Making, Role: Supervisory)
  • Fuel Cell Infrustructure at Airports (Sponsor: Delta, Airbus, Rolls Royce, Plug, Area: Sustainability, Role: Supervisory)
  • Analytical Methods for Expanding the AEDT Aircraft Fleet Database (Sponsor: Federal Aviation Administration, Area: Machine Learning, Role: Software)

  • LEADER-X Occupancy Detection with Pattern-Recognition Machines (Sponsor: IARPA, Area: Machine Learning, Role: Research and Software)
  • Smart Campus Project (Sponsor: Georgia Tech Internal, Area: Machine Learning, Role: Research and Software)

  • Reviewer for Elsevier Energy and Buildings, Elsevier Neurocomputing, Elsevier Sustainable Energy Technologies and Assesments, Springer Journal of Optimization Theory and Applications, IEEE Computational Intelligence Magazine
  • Editorial Board Member of SCIEPublish Clean Energy and Sustainability
  • Council Member of the Georgia Tech College of Engineering Diversity, Equity, and Inclusion Council, 2023

  • Global Energy Meet, 2023, Boston, MA: Chair for Energy Applications Session and Invited Keynote Speaker “Energy Savings Potential from Disitrubted Load in the USA: A Review of Available Technologies”

  • Best Paper Award at IEEE North American Symposium 2018, Fargo, ND for “Multi-Micogrid Architecture: Optimal Operation and Control”