Physics-informed and Data-driven Modeling for Tool Condition Monitoring in Manufacturing

Created by W.Langdon from gp-bibliography.bib Revision:1.9164

@PhdThesis{Seulki_Han:thesis,

• author = "Seulki Han",
• title = "Physics-informed and Data-driven Modeling for Tool Condition Monitoring in Manufacturing",
• school = "Chemical Engineering, University of Connecticut",
• year = "2025",
• address = "USA",
• keywords = "genetic algorithms, genetic programming",
• URL = "https://commencement.media.uconn.edu/wp-content/uploads/sites/2558/2025/05/2025-Commencement-Program-for-Web-V.2.pdf#page124",
• URL = "https://commencement.media.uconn.edu/wp-content/uploads/sites/2558/2026/05/2026_CommencementProgram_Final.pdf#page142",
• notes = "

  title changed?

  Supervisor: George Bollas",

}

Genetic Programming entries for Seulki Han

Citations