Lester Liou
I'm Designer
About
Programmer & Filmmaker
I am Lester Liou, a researcher dedicated to the fields of Artificial Intelligence and Mechatronic Information, currently studying at the Department of Power Mechanical Engineering at National Tsing Hua University.
I am proficient in engineering software such as Python, Matlab, and AutoCAD. I have participated in the Taiwan Instrument Research Institute's Tool Vision Recognition project and the university's Smart Baseball Pitcher and Image Recognition project, focusing on machine learning and human-robot collaboration technologies.
I have a strong passion for film art and aquascaping. I enjoy creating short films, particularly art films that address social issues. In aquascaping, I take pleasure in designing freshwater fish and plant tanks.
- Birthday: 6 Oct 2001
- Phone: +886 979 675 618
- City: Taichung, Taiwan
- Age: 23
- Degree: undergraduate student
- Email: Lesterliou@gmail.com
Professional Skills
Programming
MATLAB, Python, ROS, C
Engineering Program
Inventor, AutoCAD
Filming
DaVinci
Resume
Sumary
Lester Liou 劉軒愷
As an undergraduate student in the Department of Power Mechanical Engineering at National Tsing Hua University, I specialize in artificial intelligence and machine learning, with a keen interest in human-robot cooperation.
- (+886) 979-675-618
- lesterliou@gmail.com
Education
Master of Power Mechanical Engineering, specializing in Artificial Intelligence & Mechano-Informatics
2024 - Present
National Tsing Hua University, Hsinchu, TW.
Bachelor of Power Mechanical Engineering, specializing in Electrical and Control Systems
2021 - 2025
National Tsing Hua University, Hsinchu, TW.
Professional Experience
Intern at Taiwan Instrument Research Institute
2024.7 - 2024.9
TIRI, Hsinchu, TW
- Tool Visual Recognition:
Developed a tool for visual recognition, enabling the accurate identification and classification of various tools. - Image Pre-processing:
Performed comprehensive image pre-processing, including image capturing and annotation, to ensure high-quality data for model training and improve overall system performance. - Model Development and Training Using YOLOv8:
Programmed and trained object detection models using the YOLOv8, enhancing the accuracy and efficiency of the visual recognition system.
Baseball Batting Training System Integrating Virtual Pitcher Imagery
2023 - 2024
NTHU, Hsinchu, TW
- Virtual Pitcher Imagery System Integration:
Developed a virtual pitcher imagery system integrated with a pitching machine to simulate realistic pitching scenarios for training purposes. - Machine Learning-Based Pitch Trajectory Simulation:
Simulated and established pitcher pitch trajectories using machine learning techniques, enhancing the realism and variability of virtual pitching simulations. - Adaptive Projection Screen Mechanism Design:
Designed a projection screen mechanism that moves in tandem with the pitching position, ensuring accurate alignment and synchronization between virtual imagery and the physical pitching machine.