Research Output per year
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.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2018 2020
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., 106682Research output: Contribution to journal › Article › Academic › peer-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 190711v1Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic
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-SMCResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
File
Light trailers
Learning systems
Feedforward neural networks
Discrete event simulation
Industry
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. 65-74Research output: Contribution to journal › Article › Academic › peer-review
Vehicle routing
Vehicle Routing Problem
Genetic algorithms
Genetic Algorithm
Gas emissions