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Mahmoud Bakr Elbeltagy |
Location: Okanagan Valley, British Columbia
Phone: +12363383335
Email: [email protected]
Birthdate: 1999/05/02
Passionate about robotics and AI for decision-making, I have a keen interest in the mathematical challenges these fields present. I am a fast learner with experience in Python, Matlab, TensorFlow, and C++ for control, modeling, and prediction problems.
MASc in Mechanical Engineering
University of British Columbia, Okanagan (UBCO), Canada
September 2022 – present
- Focus: Data-driven fault diagnosis
- Current Score: 91/100
BSc in Mechanical Engineering
University of Sharjah, UAE
September 2016 – January 2021
- Full scholarship
- GPA: 3.93/4
- Top of my class
- Programming: C++, Python, MATLAB
- Modeling and Simulation: Simulink, Simscape, Stateflow. Gazebo
- Machine Learning: TensorFlow, Tensorflow-probability, Keras, Numpy, Scipy, Pandas
- Optimization: Deap, Scipy, MATLAB optimization,
- Robotics: ROS, C++, Python, Particle filters, SLAM, Control systems
- Control Systems: Time and frequency analysis
- Anomaly Detection: Data-driven models and algorithms, Multivariate statistical analysis, Deep learning
- Leadership: Managing multidisciplinary teams
- Communication:
Graduate Research Assistant
University of British Columbia
September 2022 – present
- Developing Intelligent Fault Diagnosis algorithms using data-driven methods
Graduate Teaching Assistant
University of British Columbia
September 2022 – present
- Engineering Analysis 3, Application of Engineering Design, Autonomous Vehicles Technology
Research Engineer
General Civil Aviation Authority (UAE)/University Of Sharjah
September 2020 – March 2022
- Developing and testing control algorithms on quadcopters
- Okanagan Graduate Research Scholarship (2023)
- Golden Visa for Outstanding Specialized Talents (2022)
- Rating of Highest Honors (2021)
- Full Scholarship (2016)
June 2022 – present
- Developing fault detection algorithms using ML and DL methods
October 2020 – January 2022
- Modeling and testing controllers on quadcopters using Simulink and MATLAB
July 2020 – May 2022
- Building DL models for predicting mechanical properties of alloys
September 2019 – December 2019
- Analyzed hybrid systems, modeled and simulated vehicle components, integrated modeling with system identification, and supervised a multidisciplinary team.
- A Machine Learning Framework for Discovering HEAs Phase Formation Drivers - Heliyon (2023)
- Prediction of Phase and Hardness of HEAs - Materials Today Communications (2022)
- Data-driven Hardness Prediction of AlCoCrFeNiTiCu System of High Entropy Alloys - ASET2022 Conference
- Comparative Study between ADRC and IMC for Water Level Control - ASET2022 Conference
- Running, Hiking, Watching Movies,