About me

Research Interests

  • Elasticity for data stream processing applications.
  • Modelling the behaviour of distributed systems.
  • Single- and multi-objective optimisation problems.
  • (Near) Real-time solutions for big data analytics.
  • Machine Learning and Reinforcement learning.
  • Edge/FoG computing.
  • Internet of Things (IoT) issues.
  • Here you can find my research statement.

Research Activities

  • 2016 - present: Ph.D. in Computer Science.
    • Title: Algorithms for big data analytics.
    • Advisors: Marcos Assunção and Laurent Lefèvre.
    • Hosting team: AVALON-Team in LIP at ENS-Lyon.
    • Defense: September 2019.
    • Approach: I propose models and solutions for the placement problem of (near)real-time big data analytics on heterogeneous infrastructures addressing the single- and multi-objective optimisation problem. In my models, I apply methods from queueing theory, Markov Decision Process(MDP), and Reinforcement Learning(RL). My solutions rely on series-parallel graphs, Monte-Carlo Tree Search (MCTS), Temporal Difference Tree Search (TDTS), Q-learning and greedy algorithms.
  • 2012 - 2014: M.Sc. in Computer Science.

Program committees

  • PC member of ICPP 2020.

Other paper reviews

  • Review for CCGrid 2017, IEEE Globecom 2017, and IEEE Globecom 2018.

Volunteer Organiser

  • SBAC-PAD 2018.

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