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.