Dr. Edilson Arruda

Associate Professor

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Biography

Edilson Arruda is an Associate Professor at the University of Southampton, specializing in healthcare modeling and optimization under uncertainty. He holds a Bachelor's degree in Electrical Engineering from the Federal University of Mato Grosso and Master's and Doctorate degrees in Electrical Engineering (Operational Research/Optimal Control) from the University of Campinas. His background encompasses Industrial Engineering and Management Science with a focus on Operational Research and uncertainty problems. Edilson's research primarily involves the application of Markov decision processes and stochastic modeling to address complex, real-world challenges, particularly those related to healthcare management. His research interests include logistics, supply chain analytics, decision-making methodologies under uncertainty, and the intersection of artificial intelligence and operational research. Edilson has lectured on courses related to decision-making and operational research. Furthermore, he has held lecturing positions at institutions such as the Pontifical Catholic University of Rio Grande do Sul and the Federal University of Rio de Janeiro. He has also held postdoctoral positions at the National Laboratory for Scientific Computation and Cardiff University's School of Mathematics.

Research Interests

Experience

Lecturer

— Present

University of Southampton • Southampton, England

Lecturing in the Department of Decision Analytics and Risk.

Lecturer/Senior Lecturer

— Present

Pontifical Catholic University of Rio Grande do Sul • Brazil

Lectured in Electrical Engineering.

Lecturer

— Present

Federal University of Rio de Janeiro • Brazil

Lectured in Industrial Engineering and Operational Research.

Postdoctoral Researcher

— Present

National Laboratory for Scientific Computation • Petropolis, Brazil

Conducted research in computational methods.

Postdoctoral Researcher

— Present

Cardiff University's School of Mathematics • UK

Engaged in academic research.