معرفی
Luis F. Zuluaga is an Associate Professor in the Department of Industrial and Systems Engineering at Lehigh University, where he also serves as Co-Director of the Financial Engineering Program and is affiliated with the Healthcare Systems Engineering initiative. Previously, he held an Associate Professor position in the Faculty of Business Administration at the University of New Brunswick (Canada). His research focuses on polynomial optimization, large-scale optimization, quantum computing, financial engineering, and truss topology design. He has authored influential papers in top journals like Operations Research, SIAM Journal on Optimization, and Mathematical Programming.
Education:
- Ph.D. in Operations Research, Carnegie Mellon University (2004)
- M.S. in Industrial Administration, Carnegie Mellon University (2000)
- M.S. in Industrial Engineering, University of Los Andes (Colombia, 1998)
- B.S. in Physics and Electrical Engineering, University of Los Andes (Colombia, 1996)
Research Interests: Dr. Zuluaga's work spans polynomial optimization frameworks, quantum computing applications (e.g., QUBO formulation for combinatorial problems), and financial engineering. His recent projects include quantum interior point methods for semidefinite optimization and truss topology design for structural stability. His research bridges theoretical advances with real-world applications in energy systems, industrial networks, and risk management.
Recent Article Trends: His 2023–2025 publications emphasize quantum computing (e.g., QUBO formulations, Hamiltonian-based algorithms) and optimization under uncertainty (e.g., semidefinite relaxations, nonnegativity reduction techniques). Earlier work includes contributions to truss design optimization and carbon pricing mechanisms.
Awards:
- 2019 Journal of Global Optimization Best Paper Award (with student Xiaolong Kuang)
Grants & Impact: His team secured a $2.1M DARPA grant for quantum computing research and a U.S. Army grant for optimization algorithms. Lehigh ISE's $500K+ impact on Pennsylvania’s critical sectors is partly attributed to his work. He advises students like Xiaolong Kuang and collaborates with the Quantum Computing and Optimization Laboratory (QCOL).
Labs/Teams: Director of the Quantum Computing and Optimization Laboratory (QCOL), fostering interdisciplinary research in quantum optimization and its industrial applications.
