Everything should be made as simple as possible, but not simpler

Research Interests

Research specialist at KAUST, software engineer, main research topics are the development of a resilient information architecture platform for smart grid application on a distributed cyber physical system, digital twins for city energy forecasting, integration of the various components (Unity game engine, deep learning with tensorflow, pytorch, python, C#, nvidia jetpack, GStreamer). Fog computing with IOT hardware in the loop Modelica/Dymola simulation. Multi-view damage detection and assessment with computer vision and machine learning techniques.

Professional Profile

  • Oct 2018 – present : Research Specialist, KAUST, Thuwal, Saudi Arabia
  • Jan 2016 – Sept 2018 : Confirmed programmer, SYNOVO, Strasbourg, France
  • Sept 2012 - Dec 2015 : .Net & Web developer, AFI ESCA, Strasbourg, France
  • July 2010 - Sept 2012 : Apprentice developer, 2IO CONSEIL, Colmar, France

Education Profile

  • M.S. Software Engineering, University of Strasbourg, France

Areas of Expertise and Research Interests

  • Smart grid & Power system disturbance
  • IOT, Edge computing
  • Machine learning, Blockchain