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General Information
Full Name | Hung-Tien Huang |
Education
- 2023
B.S
University of South Carolina, Columbia, SC, United States
- Double Minor in Mathematics and Statistics.
- President's List for 3 semesters.
- Dean's List for 7 semesters.
Research Experience
- 2022 - Present
Research Assistant
AISys Lab, University of South Carolina, Columbia, SC, United States
- Proposed a framework that trains deep generative models to provide ad-hoc counterfactual explanations for the behavior of deep reinforcement learning agents.
- Reviewed literatures in explainable artificial intelligence, causal representation learning, deep generative modeling, variational inference, and deep learning optimization techniques.
- 2019- 2022
Student Researcher
ARTS Lab, University of South Carolina, Columbia, SC, United States
- Developed in an audio-based machine learning wildfire detection system that runs on edge in remote forests. The results were published in MDPI electronics.
- Assisted with the implementation and visualization of adaptive particle swarm optimization for ship structure modal analysis that led to a publication in Conference Proceedings of SPIE.
- Proposed using Gaussian Process to perform state estimation of mechanical structures.
- Developed a C++ Arduino library for an accelerometer used in vibration detection sensor package.
Teaching Experience
- 2020- 2022
Teaching Assistnat
University of South Carolina, Columbia, SC, United States
- Undergraduate teaching assistant for CSCE 145/146 Algorithmic Design I/II. The duty includes supervise lab session, give high-level descriptions to data structures and simple software design pattern, and assist students to debug Java applications.
- 2019
Instructor
Taiwan Fund for Children and Families, Taipei, Taiwan, Republic of China
- Prepared and gave lectures to elementary school students about road safety.
- Tutored a special need child make paper crafts of buses.
Academic Interests
-
Artificial Intelligence.
- Causal Leanring.
- Lifelong Learning.
- Neuromorphic Computing.
- Reinforcement Learning.
-
Computer Vision
- Scene Understanding