
Syed Adil Muddassir Ahsan
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Syed Adil Muddassir Ahsan
- Current 6 years and 5 months, since Jan 2020
Developer
EFS - Elektronische Fahrwerksysteme GmbH
Autonomous driving
- 9 months, Nov 2018 - Jul 2019
Research Assistant
Fraunhofer Institut
• Implementation of artificial intelligence algorithms for mobile robots (movement task) and robotic arms (grasping task) • Development and implementation of environment for training robots using reinforcement learning • Implementation using ROS, Gazebo, OpenAI Gym, neural networks, Keras and Python
- 5 months, Sep 2018 - Jan 2019
Research assistant
Max Planck Institute
• Implementation of various model-order-reduction algorithms for complex dynamical systems in Matlab • Writing of a scientific research paper
• Implementation and optimization of algorithms for solving and simulating dynamical systems in Matlab
- 1 year and 10 months, Jan 2014 - Oct 2015
Automation Engineer
Tetra Pak
Programming PLC based systems
- 11 months, Feb 2013 - Dec 2013
Project Engineer
SIEMENS
Project engineering for the oil and gas industry. Performed software development and documentation.
- 1 year and 10 months, Apr 2011 - Jan 2013
Design and Application Engineer
Intech
Project engineering for the oil and gas industry using PLC, DCS and ESD based systems
- 2 years, Apr 2009 - Mar 2011
Automation Engineer
KMH Industrial Automation
Project engineering for PLC based systems
Ausbildung von Syed Adil Muddassir Ahsan
- 3 years and 10 months, Oct 2015 - Jul 2019
Electrical and Computer Engineering
Otto-von-Guericke-Universität Magdeburg
Grade: 1.0 (with Distinction) Core Subjects: Artificial Intelligence, Image Processing, Control Engineering and Optimization Thesis: Multi-mode model predictive control of an autonomous vehicle at an intersection using motion planning, motion control and motion prediction
- 5 years, Jan 2005 - Dec 2009
Electronics Engineering
NED University of Engineering and Technology
Grade: 84.5 % (Second Position) Core Subjects: Control Engineering, Programming and Embedded Systems
Sprachen
German
C1 (Fließend)
English
C2 (Verhandlungssicher / Muttersprachlich)
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