Ali Folad
Dubai,United Arab Emirates
Summary
A hardworking and ambitious mechatronic and robotic engineer with experience in manufacturing data informatics, robotics, and mechatronics graduated from the University of Sheffield. solid understanding of mechanical design, electronics, computing, and intelligent systems and practical experience in creating, analyzing, and testing electro-mechanical systems. Application of autonomous systems, C++ and MATLAB programming, and 3D CAD tools demonstrated abilities for real-world system design. Experienced in using linear regression and artificial neural network models to predict mechanical properties in steel alloys, expertise also extends to data-driven model building. Adept in using optimization techniques, particularly Genetic Algorithms, to accomplish desired results. passionate in developing machine learning techniques to support improvements in robotics and manufacturing.
Work history
Graduate
University of Sheffield
Sheffield, United Kingdom
08.2018 - 06.2023
Final Year Project: Data Informatics in Manufacturing
- Developed a 'right-first-time' methodology utilizing optimisation to predict input in chemical composition for desired mechanical properties, specifically ultimate tensile strength, of steel alloys.
- Acquired hands-on experience in mechanical testing of alloy materials and conducted a comprehensive literature review on modeling and optimization for metal processing.
- Established proficiency in data-driven models, preprocessing, and data analysis.
- Developed, compared, and assessed Linear Regression and Artificial Neural Network (ANN) models for predicting the UTS of steel alloys, with ANN proving superior accuracy.
- Successfully implemented a Genetic Algorithm (GA) for inverse modelling to determine optimal inputs for a targeted UTS value.
- Highlighted the efficacy of ANN in enhancing accuracy for predicting the UTS of steel alloys and showcased the potential of Genetic Algorithms for inverse modelling.
Education
High School Diploma -
08.2017 - 07.2018
Engineer's degree - BEng Mechatronic and Robotic Engineering
08.2018 - 06.2023
Skills
- Robotics and Mechatronics: Experience in robotic systems, autonomous vehicles, and complex electro-mechanical system design
- Software & Tools: Proficient in C and MATLAB programming, 3D CAD tools, and familiar with industry-standard equipment and applications in robotics and advanced manufacturing
- Intelligent Systems: In-depth knowledge of artificial intelligence, machine learning, and digital signal processing
- Project Management: Strong skills in project coordination, communication, and execution; demonstrated through academic projects and team collaborations
Languages
Arabic
Fluent
English
Advanced
Spanish
Beginner (A1)
Timeline
Graduate - University of Sheffield
08.2018 - 06.2023
The University of Sheffield - Engineer's degree, BEng Mechatronic and Robotic Engineering
08.2018 - 06.2023
School of Modern Skills - High School Diploma,
08.2017 - 07.2018
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