• 12 Citations
20182020
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Personal profile

Research profile

Paulo R. de O. da Costa currently pursues a PhD at the Eindhoven University of Technology, The Netherlands, on the topic of Real-time Data-driven Maintenance Logistics. His current research interests are related to using Machine Learning and Optimisation methods applied to sequential decision-making problems.

Academic background

Paulo R. de O. da Costa, MSc. is pursuing a PhD at the School of Industrial Engineering and Innovation Sciences in the Information Systems Group at the Eindhoven University of Technology. He holds a BSc in Computational and Applied Mathematics from the University of Campinas (Unicamp) in Brazil and an MSc in Business Analytics from University College Dublin (UCD) in Ireland. 

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Research Output 2018 2020

  • 12 Citations
  • 2 Conference contribution
  • 2 Article

Remaining useful lifetime prediction via deep domain adaptation

da Costa, P. R. D. O., Akçay, A., Zhang, Y. & Kaymak, U., 1 Mar 2020, In : Reliability Engineering and System Safety. 195, 13 p., 106682

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Neural networks
Condition monitoring
Propulsion
NASA
Health

Data-driven policy on feasibility determination for the train shunting problem

De Oliveira Da Costa, P., Rhuggenaath, J., Zhang, Y., Akcay, A., Lee, W-J. & Kaymak, U., 2019, The European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases (PKDD). 16 p. Arxiv 190711v1

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

Open Access
File
Planning
Scheduling
Parking
Learning systems
Decision making

Machine learning based simulation optimisation for trailer management

Rijnen, D. J. F., Rhuggenaath, J., Costa, P. R. D. O. D. & Zhang, Y., 2019, (Accepted/In press) IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC). IEEE-SMC

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Light trailers
Learning systems
Feedforward neural networks
Discrete event simulation
Industry
12 Citations (Scopus)

A genetic algorithm for a green vehicle routing problem

De Oliveira Da Costa, P., Mauceri, S., Carroll, P. & Pallonetto, F., 1 Feb 2018, In : Electronic Notes in Discrete Mathematics. 64, p. 65-74

Research output: Contribution to journalArticleAcademicpeer-review

Vehicle routing
Vehicle Routing Problem
Genetic algorithms
Genetic Algorithm
Gas emissions

Courses