Amr Mousa

Amr Mousa

Senior AI Research Engineer and PhD Student

Virtual Vehicle Research GmbH

University of Manchester

About Me

I’m a PhD student at the University of Manchester, working with the supervision of Richard Allmendinger, Wei Pan, and Michele Caprio. My research dives deep into the challenge of making Reinforcement Learning (RL) thrive in non‑stationary environments—an area that’s key to bringing RL out of the lab and into the messy, unpredictable real world.

Alongside my academic journey, I work at Virtual Vehicle Research GmbH in Graz, Austria, as a Senior Research and Development Engineer. There, I lead projects designing RL policies for legged robots in search‑and‑rescue missions and develop intelligent agents for energy management in plug‑in hybrid vehicles—blending cutting‑edge AI with greener, smarter mobility.

Interests
  • Reinforcement Learning
  • Self-Supervised Learning
  • Representation Learning
  • Robotics
  • Automotive and Aerospace
Education
  • Master of Engineering Management, 2022

    Arizona State University

  • Master of Automotive Mechatronics, 2021

    FH Oberösterreich

  • Bachelor of Aerospace Engineering, 2018

    Zewail City, Egypt

News

IROS 2025 Presentation

Aug 1, 2025

I will be presenting our paper at IROS 2025. See the 📄 paper, 💻 code, and 🌐 webpage. The presentation details will be updated soon!

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Working Experience

 
 
 
 
 
University of Manchester
Research Engagement & Mentorship
September 2023 – Present Manchester, UK
  • Master’s Thesis Supervision: Mentoring graduate students in several research areas including Statistics, Reinforcement Learning and robotics.
  • Research Assistant: Contributing to data analysis projects and research initiatives across two academic semesters
  • Peer Review: Serving as reviewer for prestigious conferences and journals including NeurIPS and other top-tier publications in AI and robotics
 
 
 
 
 
Virtual Vehicle Research GmbH
Senior Research and Development Engineer
October 2021 – Present Graz, Austria

Key projects include:

  • Developing robust RL-based locomotion policy for legged robots:

    Using Meta-Reinforcement Learning to develop a locomotion policy for the quadruped robot -Unitree Go1- to be able to robustly navigate different environments for survival and rescue missions.

  • RL-based Energy Management Strategy for P2-PHEVs:

    Implementing a novel A3C agent that outperformed the existing rule-based control strategy and was integrated into the vehicle HCU for testing in HiL and ViL. The project resulted in two publications and a patent.

 
 
 
 
 
AVL List GmbH
Advanced Controls Development Engineer
March 2021 – July 2023 Graz, Austria

Key projects include:

  • Adaptive interiors control with a German OEM - Project Lead:

    Developing an imitation learning RL agent that learns and predicts the driver preferences based on the driver mood, driving behavior and vehicle situation.

  • RL-based Thermal Management for Battery Electric Vehicles:

    Improving the vehicle energy consumption by utilizing the heat sources to meet the cabin comfort requirements, powertrain, and battery optimal efficiencies.

See Employer Letter

 
 
 
 
 
HILTI BU Installation Systems
Research and Development Support Engineer
March 2020 – September 2021 Vienna, Austria
Supporting the R&D team on product design and development with focus on CAD, FEA, Product Testing, and Agile Development.
See Employer Letter

Honors

FH Oberösterreich
FH INNOVATION award 2023 - 2nd place
Recipient of the FH INNOVATION award, securing 2nd place for the outstanding master’s thesis in the Engineering department. Watch the VIDEO and read the news ARTICLE here.
Alghurair Foundation
Fully funded scholarship - ASU’s Master’s degree
Fully funded scholarship to study Engineering Management Master’s degree at Arizona State University by Alghurair Foundation
Global Hybrid Car Challenge
Technical Innovation award - Global Hybrid Car Challenge 2016
Winning the Technical Innovation award for developing LabVIEW monitoring station and advanced onboard sensors suite to optimize velocity and monitor critical meausrements during the race. Watch our video here.
Zewail City of Science and Technology
Fully funded scholarship - Zewail City’s Bachelor’s degree
Fully funded scholarship to study the Aerospace Engineering Bachelor’s degree at Zewail City

Contact