Work Experience
Applied Research Scientist @Meta 2022-Now
@Meta Reality Labs
Researching SOTA methods for localization for AR/VR problems.
Develop non-visual localization systems combining machine learning and classical approach.
Use IMU + magnetometer to solve several problems such as heading and tracking.
Based on the project, needed technical leadership, help analyze and improve efficiency, scalability, and stability
of deployed algorithms.
Create 0->1 POC for technical problems.
Research Engineer Intern (Platforms) @Meta Summer 2021
Develop novel state-of-the-art vision algorithms and corresponding systems, leveraging various deep learning techniques.
Contribute to research that can eventually be applied to Facebook products and run on billions of media items every day.
Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Collaborate with team members, all the way from prototyping in a notebook to deploying at scale.
IMG Media Quality Intern @Apple Summer 2020
Worked on deep models to understand video subjective quality.
Researched deep architectures for image quality assessments.
Applied Research Intern @Intuitive Surgical Summer 2018
Worked on next generation surgical robotics systems.
Developed a novel IMU orientation filter that has been filed to be a patent.
Solved multi-rate sensor data fusion problems.
Software R&D Engineer (Autonomous Driving Algorithms) @Avelabs 2016 - 2017
Developed real-time deep learning based object tracking layer for multi RADAR sensors.
Developed real- time lane, road, objects and traffic sign detection deep learning based solutions.
Technical leadership of the algorithms team.
Software R&D Engineer (Autonomous Driving Algorithms) @Valeo 2015 - 2016
Designed an algorithm that processed ultrasonic sensor raw data to detect and track multi-objects using unsupervised deep learning, the proposed solution is patented.
Developed a static mapping parking algorithm for autonomous vehicles using EKF.
Software Engineer @ITWorx 2014 - 2015
Designed, executed, assessed and troubleshoot software programs and web based applications.
From 2011 to 2014 I ran a startup in AR/VR alongside working as a freelancer in machine learning with CV focus.
Education
PhD in Electrical and Computer Engineering @The University of Texas at Austin (UT) 2017- 2022
● Research topic: Predicting trajectories of autonomous and non-autonomous objects in the environment.
● I was part of Mobile Automation and Sensing Systems lab @UT Austin led by my advisor Prof: Christian Claudel
(UT/ Toyota connected NOAM) and my advisor Prof: Ahmed Tewfik (UT/ Apple) while being co-advised by Prof:Mohamed Elhoseiny (FAIR/ KAUST/ Stanford).
MSc in Transportation Engineering @The University of Texas at Austin (UT) 2017- 2019
● Research topic: Predicting future trajectories of pedestrians using deep graph nets.
● Supervised by: Prof: Christian Claudel (UT/ Toyota connected NOAM).
BSc of Electronics, Communication and Computer Engineering @Helwan University 2007- 2012
Honors and Awards
3rd place in UT Austin Terminal AI game competition 2019 ($3000 reward) Certificate
Winner of the Made in Egypt (MIE) and idea To Product (I2P) 2012 for my senior graduation project.