Yasser Belal

About

Robotics Engineer | ML specialist

I am a motivated, self-organized and quadrilingual Robotics Engineer with hands-on experience in mechatronics, robotics, and machine learning projects in top-tier research institutions. These projects range from the design of human-robot interfaces and adaptive control systems to software development, data science, coordination of experimental activities and teaching assistance.

I recently graduated with a master's degree in Robotics, Systems and Control from ETH Zurich and hold a B.Sc. in Mechanical Engineering from the University of Duisburg-Essen.

I am immersed in the world of entrepreneurship and startups by being an executive committee member of the EPFL Entrepreneur Club.

I am passionate about sports (football, hiking, scuba diving), cooking and exploring new cultures through traveling.

Social Media:

Skills

Arabic

Arduino

C Programming

Computer Skills (Windows)

Computer Vision

Data Analysis

Data Science

Deep Learning

English

French

German

Google TensorFlow

Human-robot Interaction

Machine Learning

Matlab

Matplotlib

Microsoft Applications

Mobile Robotics

NumPy

Python

Pandas

Robotics

Scikit-Learn

Simulink

SolidWorks

Unity 3D

Open for

fulltime

cofounder

Work Experience

EPFL

2021-04 - 2021-05

Workplace

Research Intern

Location

Vaud

Employement type

internship

- Designed and developed systems for body-machine interface generation for drone teleoperation and their integration into VR/AR applications. - Developed technical competences in VR programming (Unity3D) and Python scripting for data acquisition and processing, and advanced machine learning methods. - Planned, executed and analyzed the results for a set of experiments aimed to validate the systems both in simulation and in a real-world scenario using a physical quadrotor.

Rheinmetall Air Defence

2019-09 - 2020-03

Workplace

Machine Learning Intern

Location

Zürich

Employement type

internship

- Worked in the interdisciplinary Electronic Components R&D team responsible for: developing electronic components and simulation, control, testing and integration of drive systems in all Rheinmetall Air Defence (RAD) products. - Explored the application of state of the art Machine Learning methods for servo drive systems at RAD. - Applied Black-box system modeling using deep learning. - Modeled neural networks for disturbance/friction torque prediction. - Designed an online neural network-based adaptive controller for dynamic friction compensation.

Siemens AG

2017-09 - 2017-11

Workplace

Mechanical Engineering Intern

Location

Duisburg

Employement type

internship

• R&D of integrally geared type compressors. • Design of steam turbines packages. • Manufacturing and assembling of compressors in the production hall.

EPFL Entrepreneur Club

2020-10 - 2021-05

Workplace

Executive committee member

Location

Vaud

Employement type

unknown

- Created and managed social media pages: Linkedin, Instagram, Facebook. - Promoted entrepreneurship in Swiss French region.

Academic Experience

ETH Zurich -

2018.09 - 2021.05

Master of Science, MSc in Robotics, Systems and Control

University of Duisburg-Essen -

2014.10 - 2018.08

Bachelor of Science, BSc in Mechanical Engineering