cv
Basics
Name | Minh Nguyen |
minh@mail.minhnh.com | |
Url | https://www.minhnh.com/ |
Summary | PhD candidate working on automated acceptance testing of robotic systems. |
Work
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2024.01 - present Research Staff
Software Engineering for Cognitive Robots and Systems (SECORO), University of Bremen
Help establish the new working group, participate in the SOPRANO project, and continue research on model-based, atomated acceptance tests of robotic systems.
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2020.01 - 2023.12 Research Staff and Student Assitant
Institute for Artificial Intelligence and Autonomous Systems (A2S), Hochschule Bonn-Rhein-Sieg
Participate in the H2020 project Secure and Safe Multi-Robot Systems (SESAME), help conceptualize & develop the (Executable Scenario Workbench); Participate in the VeriComp project as part of the Master Thesis to model controllers that can generate to exectuable robotic control algorithms (repo).
Volunteer
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2016.04 - 2023.12 Sankt Augustin, Germany
Senior Member, Team Leader
b-it-bots@Home
Develop the team's perception pipeline (main repo), write tutorials, participate in competitions, gain hands-on experience with Care-o-bot 3, Toyota HSR, KUKA YouBot.
Education
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2022.04 - present Bielefeld, Germany
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2015.10 - 2020.10 Sankt Augustin, Germany
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2009.09 - 2013.05 Bozeman, MT, USA
Computer Engineering (BSc)
Electrical & Computer Engineering Dept., Montana State University
Embedded Systems
Skills
Knowledge Modelling | |
Resource Description Framework (RDF) | |
JSON-LD | |
SPARQL | |
SHACL | |
Jetbrains MPS |
Robot Manipulation | |
Kinematics and Dynamics Library (KDL) | |
Controllers |
Robot Perception | |
Point Cloud Library (PCL) | |
PyTorch | |
Boost |
Languages
Vietnamese | |
Native speaker |
English | |
Fluent |
German | |
proficient |
Interests
Robotics | |
Compliant Control | |
Model-Based Methods | |
Acceptance Testing |
Travel | |
Plan | |
Drive | |
Review |
Projects
- 2023.01 - present
RobBDD
Design and implement a model-based acceptance testing framework for robotic systems, inspired by the Behaviour-Driven Development (BDD) methodology.
- Acceptance Testing
- Robotics
- Model-Based Methods