CV

Basics

Name Yuechuan Hou
Label Master's Student
Email yuechuanhou@gmail.com
Url https://yuechuanhou.com
Summary A Master's student at Carnegie Mellon University with experience in Robotics and Computer Vision, currently focusing on learning-based human pose 3D reconstruction.

Education

  • 2022 - 2024
    Master's Student
    Caenegie Mellon University
    Mechanical Engineering
    • Machine Learing and Artificial Intelligence
    • Visual Learning and Recognition
    • Mobile Robots
  • 2017 - 2021
    Bachelor's
    Sichuan University
    Mechanical Engineering
  • 2017 - 2021
    Bachelor's
    University of Pittsburgh
    Mechanical Engineering
    • Data Structures
    • Algorithm Implementation
    • Computer Organization and Assembly Language

Skills

Programming Languages
Python
C++
Java
Engineering Analysis
MATLAB
ANSYS
CAD
SolidWorks
NX
CATIA
Robotics and Simulation
ROS
Isaac Sim

Projects

  • 2022.10 - Present
    Dense 3D Reconstruction of Dynamic Actors in Natural Environments using Multiple Flying Cameras
    Research project funded by the National Science Foundation Grant No. 2024173.
    • Formation Planning: Designed adaptive aerial formations for filming groups of people based on Python and ROS.
    • Field Testing: Developed and executed planning and control strategies for filming moving individuals using an aerial robot equipped with GPS-based tracking.
    • 3D Reconstruction: Human pose detection using OpenPose with photo-realistic simulation via Isaac Sim and progressed towards a comprehensive 3D pose reconstruction pipeline.
  • 2023.01 - 2023.05
    Advanced Cross-Platform Game Porting of 'Metal Slug' with C++ and OpenGL
    Team project at Carnegie Mellon University.
    • Game Adaptation: Transitioned 'Metal Slug' to modern platforms using C++ and OpenGL, ensuring seamless gameplay functionality.
    • Game Design: Architected intricate gameplay mechanics and graphics, delivering an immersive user experience through algorithms.
    • AI Integration: Engineered intelligent enemy behaviors and integrated dynamic difficulty scaling based on player performance to maintain a balanced gameplay experience.
  • 2021.07 - 2022.06
    Investigation of Thermal Mechanical Properties of 3D Printed Lattice Cooling Structure for Hot Section Components Using High Temperature Alloys
    Research project funded by the National Natural Science Foundation of China.
    • Deep Learning Modeling: Designed neural network algorithms for accurate heat transfer property predictions of varied lattice structures.
    • System Optimization: Integrated genetic algorithms to optimize the heat transfer efficiency.
    • Algorithm Verification: Employed nonlinear regression and sensitivity analysis, ensuring the precision and robustness of algorithms for real-world applicability.

Work

Languages

Chinese
Native speaker
English
Fluent