CV

General Information

Full Name Danilo Carastan dos Santos
Languages Portuguese, English, French

Education

  • 2019
    Double-degree PhD in Computer Science
    University Grenoble-Alpes (UGA), France and Federal University of ABC (UFABC), Brazil
  • 2015
    Master's degree in Computer Science Federal University of ABC
    Federal University of ABC (UFABC), Brazil
    • Award date: 27/05/2015
  • 2014
    Bachelor degree in Computer Science
    Federal University of ABC (UFABC), Brazil
    • Award date: 05/02/2014

Experience

  • 2021 - now
    Post-Doctoral Researcher
    Grenoble Informatics Laboratory (LIG), University Grenoble-Alpes
    • Research on measuring and evaluating the energy consumption and CO2 emissions of Computer Science conferencing and characterizing the energy consumption of parallel and distributed applications
  • 2019 - 2021
    Post-Doctoral Researcher
    Informatics Institute (INF), Federal University of Rio Grande do Sul, Brazil
    • Research on analysis of High Performance Computing architectures and applications
  • 2018 - 2019
    PhD Researcher
    Laboratory of Parallel and Distributed Computing, Federal University of ABC, Brazil
    • (double-degree PhD) Research Learning about heuristics for High Performance Computing resource management
  • 2017 - 2018
    PhD Researcher
    Grenoble Informatics Laboratory (LIG), University Grenoble-Alpes, France
    • (double-degree PhD) Research Learning about heuristics for High Performance Computing resource management
  • 2013 - 2015
    Masters Researcher
    Laboratory of Parallel and Distributed Computing, Federal University of ABC, Brazil
    • Research on parallel GPU algorithms for bioinformatics applications

Honors and Awards

  • 2022
    Atos/GENCI Joseph Fourier Prize
    ATOS/GENCI, Bezons, France
    • This prestigious prize reward works in advanced computing (supercomputing, quantum computing, edge computing) and artificial intelligence. A jury of independent specialists and representatives of the French scientific and industrial world chooses and rewards several innovative projects. I, conjointly with Professor Denis Trystram, was awarded first place in the "Artificial Intelligence" category. My contribution to our contest submission, entitled do better with less, involves improving the operation of High-Performance Computing platforms, particularly by using Machine Learning to optimize the order of the applications to be executed.
  • 2020
    Best PhD Thesis award
    XXI Symposium on High Performance Computing Systems (WSCAD); Santo André, Brazil
    • The contest judges and awards the best Brazilian theses in Computer Architecture and High-Performance Computing each year. It is a high-level scientific excellence contest since all yearly PhD theses in the disciplines above can apply for the contest. My thesis was awarded first place in the 2020 edition of this contest
  • 2019
    Best Paper Award
    19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Larnaca, Cyprus
  • 2017
    Nominated for the Best Paper and Best Student Paper awards
    SC17 - The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, United-States
    • In 2017, the SC conference accepted 61 papers, with an acceptance rate of around 19%. Among these 61 papers, five were nominated for the Best Paper Award, and three papers for the Best Student Paper award. The conference nominated my paper for both awards.