PhD. Pham Duc An

1. Introduction to Mechatronics
2. Programming for mechatronic systems
3. PLC & Industrial Systems
4. Human – Machine Interface
5. Design of Mechatronic Systems
6. Sensors and signal processing
7. Project of Mechatronic system design
8. Graduated mechatronic project of bachelor/engineer degree
9. Introduction to Mobile Robot
10. Humanoid Robot
11. Image Processing
12. Smart Cutting Tool in Industrial 4.0

1. Image processing techniques
2. Optimized control techniques
3. Mobile robot and humanoid robot
4. Driving simulation system in a 3D virtual environment that supports the feeling of driving motion for the driver
5. Integrating open source control systems (LinuxCNC / emc2), Grbl …, fo mechatronic systems: CNC machining machines, parallel robots, robotic
6. arms, automatic production machine systems in wood processing industry
7. Modeling and simulation of mechatronic systems on CAD / CAE software
8. 3D scanning technology, and reverse engineering in product design
9. Apply kit Arduino / Raspberry pi / Beagle bone / Kinect One / Leap motion in education and training solutions.
10. Build an augmented reality environment based on using Visual C ++
11. OpenGL / Java / Matlab
12. Apply artificial intelligence in mechatronic system.

1. From 09/2006 to 10/2008: Master degree of Mechanics Engineering at Hanoi University of Science and Technology – Vietnam
2.  From 09/2001 to 06/2006: Bachelor degree in Talented Engineering Programme at Hanoi University of Science and Technology– Vietnam; Field of study: Mechatronics.
3.  From 09/2006 to 10/2008: Master degree of Mechanics Engineering at Hanoi University of Science and Technology – Vietnam
4.  From 12/2011 to 11/2017: PhD degree of Mechatronics and Robotics at Duisburg-Essen University – Germany

Hội nghị Quốc gia/Quốc tế:

1. Pham, Duc An, Sebastian Röttgermann, Francisco Geu Flores, and Andrés Kecskeméthy. “Optimal motion cueing algorithm selection and parameter tuning for sickness-free robocoaster ride simulations.” In Mechanisms, Transmissions and Applications, pp. 127-135. Springer, Cham, 2015.
2. Röttgermann, S., Pham, D. A., Geu Flores, F., & Kecskeméthy, A. (2018). “Vergleich von Motion-Cueing Algorithmen anhand von Ergebnissen aus Probandentestfahrten am LMR Robocoaster Motion Simulator”. In Vierte IFToMM DA-CH Konferenz 2018: 15./16. Februar 2018, EPFL Lausanne.
3. Pham, Duc An, “Auto-tuning parameters for motion cueing algorithms with mean-variance mapping optimization”. MMMS 2018, Danang, Vietnam

Tạp chí Quốc gia/Quốc tế:

1. Duc-An, Pham, and Nguyen Duc-Toan. “A novel motion cueing algorithm integrated multi-sensory system–Vestibular and proprioceptive system.” Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 234, no. 2 (2020): 256-271.

1. Supervising 02 master students

1. Applying genetic algorithm to optimize the motion cueing algorithms integrating human sensory models in the driving simulation system.