PhD student · Started in 2023
Annalisa CASTELLETTI
Models and Algorithms for Scheduling Problems in Real-World Industrial Contexts: Bridging Theory and Practice Across Operational and Tactical Decisions
CurriculumPhysical, Chemical and Mathematical Sciences for Engineering
AdvisorRenata Mansini
Research groupTo be confirmed
My research focuses on combinatorial optimization and mathematical programming, with particular expertise in Mixed-Integer Linear Programming (MILP). I develop optimization models and apply exact solution methods, including Branch-and-Bound, Branch-and-Cut, and Branch-and-Price algorithms, to support complex decision-making and improve operational performance. Through close collaboration with an industrial partner, I translate real-world operational challenges into rigorous analytical models and effective solution strategies. I further strengthened this expertise through visiting research periods at the University of Graz, Austria, and the University of Bern, Switzerland. My work bridges Operations Research theory and industrial practice.
Profile
Short Bio
I am a PhD candidate in Information Engineering, expected to complete my degree in October 2026, with a background in Management Engineering and a specialization in Operations Research. My work sits at the intersection of quantitative methods and practical decision-making, developed through hands-on projects with industry partners and international visiting research experiences. Beyond research, I bring strong teamwork, adaptability, and discipline, qualities I have cultivated through years of competitive sports and volunteer activities. I enjoy translating complex problems into structured, actionable solutions, and I am motivated by the challenge of bridging rigorous methodology with practical impact.
