About
Edilson F. Arruda has a background in Electrical Engineering, with emphasis on Operational Research and Optimal Control. He has experience in the fields of Industrial Engineering and Management Science, with an emphasis on Operational Research problems under uncertainty. His research focuses on the application of Markov decision processes and stochastic modelling tools to challenging real-world problems with underlying uncertainties. It includes topics such as exact and approximate dynamic programming, reinforcement learning and stochastic optimal control, logistics and supply chain analytics and healthcare management.
Research
Research groups
Research interests
- Healthcare modelling and optimisation
- Optimisation under uncertainty
- Markov decision processes
- Logistics and supply chain analytis
Current research
Edilson is interested in relevant societal and industrial applications of optimisation under uncertainty. His research is essentially interdisciplinary, in the interface of artificial intelligence, operational research and management science. The applications include but are not limited to logistics, inventory and queueing models and capacity planning.
Edilson has a strong interest in healthcare modelling and optimisation, with the goal of understanding and optimising the provision of health care given the increase in the demand due to population ageing and increasingly scarce resources.
Research projects
Active projects
Publications
Teaching
Edilson has taught modules related to decision making under uncertainty and their interface with application areas. These include:
- Management Analysis
- Foundations of Business Analytics
- Probabilistic Methods in Operational Research
- Probability and Statistical Inference
- Queuing Theory and Applications
- Markov Decision Processes
External roles and responsibilities
Biography
Edilson was born and educated in Brazil, with a BSc in Electrical Engineering from the Federal University of Mato Grosso, MSc and DSc in Electrical Engineering (Operational Research/Optimal Control) from the University of Campinas.
He has held Lecturing/Senior Lecturing positions at the Pontifical Catholic University of Rio Grande do Sul (Electrical Engineering) and at the Federal University of Rio de Janeiro (Industrial Engineering, Operational Research).
Edilson has also held postdoctoral positions at the National Laboratory for Scientific Computation (Petropolis, Brazil) and at Cardiff University's School of Mathematics. He is currently a Lecturer in the Department of Decision Analytics and Risk, Southampton Business School.