Ehab Ibrahim

Digital IC Designer at Magics Technologies
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Leuven, Flemish Region, Belgium, BE
Languages
  • Arabic Native or bilingual proficiency
  • English Full professional proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Belgium
    • Semiconductor Manufacturing
    • 1 - 100 Employee
    • Digital IC Designer
      • Mar 2021 - Present
    • Belgium
    • Research Services
    • 700 & Above Employee
    • Research Associate
      • Feb 2020 - Feb 2021
    • Egypt
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Mar 2014 - Feb 2020

      Conducted lab tutorials, graded assignments and held office hours for subjects including: • Electronic Circuits • Integrated Circuits • Optical Communications Conducted lab tutorials, graded assignments and held office hours for subjects including: • Electronic Circuits • Integrated Circuits • Optical Communications

    • Egypt
    • Research Services
    • 200 - 300 Employee
    • Research Assistant
      • Sep 2017 - Sep 2019

      Worked towards earning my Masters of Science degree. My research topic was employing state of the art deep learning techniques in the Video Compression domain. The main outcome of my research is a resource efficient interpolation-free fractional pixel motion estimation module for HEVC based on deep learning, which can save up to 95% of the time compared to the standard module. Worked towards earning my Masters of Science degree. My research topic was employing state of the art deep learning techniques in the Video Compression domain. The main outcome of my research is a resource efficient interpolation-free fractional pixel motion estimation module for HEVC based on deep learning, which can save up to 95% of the time compared to the standard module.

    • Research
    • 1 - 100 Employee
    • Research Intern
      • Feb 2019 - May 2019

      Investigating efficient hardware accelerators for Deep Learning models Investigating efficient hardware accelerators for Deep Learning models

Education

  • Egypt-Japan University of Science and Technology
    Master of Science - MS, Electrical, Electronics and Communications Engineering
    2017 - 2019
  • Zagazig University
    Bachelor's degree, Electrical, Electronics and Communications Engineering
    2007 - 2012

Community

You need to have a working account to view this content. Click here to join now