United States
Grader for EE450 Computer Network
- Conducted evolving influence maximization model simulations with 5 growing speeds of influence, implemented 6 algorithms on 5 million-row real-world datasets using python to get seed users. - Supported in building an influence propagation model increasing the advertising revenue by up to 40%. - Implemented visualization on 20+ charts and maps for the results using Python and MATLAB.
- Assisted in developing Visual Simultaneous Localization and Mapping (VSLAM) prototyping platform. - Created ROS nodes with C++ for the moving base and stereo camera through RoboWare Studio.