Dr. Leandro R. Costa

Leandro joined the chair in Fall 2016. He received the B.S. and M.S. degrees in computer engineering from the Universidade Federal do Rio Grande do Norte, Natal, Brazil, in 2014 and 2016. respectively.
He is currently pursuing a Ph.D degree in Applied Mathematics with the Canada Excellence Research Chair in Data Science for Real-Time Decision-Making and the GERAD (Group for Research in Decision Analysis), Department of Mathematical and Industrial Engineering, Polytechnique Montréal, Montreal, Canada.
His research interests include relevant real-life applications exploiting combinatorial optimization, mathematical programming, and data science.

Articles

• Costa, L. R., Aloise, D., Gianoli, L. G. & Lodi, A. (2020) The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case. IN arXiv preprint arXiv:2004.11837, ..
  [Bibtex]

  @article{costa2020,
  title={The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case},
  author={Costa, Leandro R and Aloise, Daniel and Gianoli, Luca G and Lodi, Andrea},
  journal={arXiv preprint arXiv:2004.11837},
  year={2020}
  }

• Costa, L. R., Aloise, D. & Mladenović, N. (2017) Less is more: basic variable neighborhood search heuristic for balanced minimum sum-of-squares clustering. IN Information Sciences, 415-416.247-253.
  [Bibtex]

  @article{costa2017,
  title = "Less is more: basic variable neighborhood search heuristic for balanced minimum sum-of-squares clustering",
  journal = "Information Sciences",
  volume = "415-416",
  pages = "247 - 253",
  year = "2017",
  issn = "0020-0255",
  doi = "https://doi.org/10.1016/j.ins.2017.06.019",
  url = "http://www.sciencedirect.com/science/article/pii/S0020025517307934",
  author = "Leandro R. Costa and Daniel Aloise and Nenad Mladenović",
  keywords = "Balanced clustering, Minimum sum-of-squares, Optimization"
  }