Luis Fernando PEREZ ARMAS

Luis Fernando PEREZ ARMAS is a Post Doctoral Researcher and holds a PhD in Economics from the University of Lille (2024). He is affiliated with IÉSEG School of Management in France, where he has served as a Teaching and Research Assistant since 2019. His academic background includes a Master in Business Administration (2019) and a Bachelor in Chemical Engineering (2012) from Universidad Simón Bolívar, Venezuela. He is a member of the LEM research unit.

His research focuses on Operations Management, Quantitative Methods, and Management Information Systems. Notable contributions include applying quantum computing to discrete optimization problems and project scheduling, as well as leveraging machine learning (e.g., LSTM networks) for economic forecasting. His work bridges theoretical advancements in quantum algorithms with practical applications in operations research.

In teaching, he instructs courses such as Python for Project Scheduling, Operations Management, Agile Project Management, and Financial Analytics across undergraduate, graduate, and postgraduate programs at IÉSEG. His professional experience includes a Project Manager role at Schlumberger (2012-2017), where he applied engineering and project management expertise.

Recent publications explore quantum annealing for solving resource-constrained scheduling problems, limitations of existing quantum algorithms, and the predictive power of social media data in energy markets. While no scientific awards are explicitly mentioned, his interdisciplinary work reflects innovative contributions to operations research and quantum computing applications.