Skills

Machine/Deep Learning

Computer Vision, Transfer Learning, Reinforcement Learning
TensorFlow, PyTorch, OpenCV

Robotics

ROS, V-Rep, OpenCV

Mathematics

Statistical Learning, Probability, Calculus, Dynamic Modeling

Python

NumPy, SciPy, Matplotlib etc.

Web Development

Node.js, Java EE, Angular

Computer System & Hardware

X86 Assembly/GAS, MIPS, Verilog, Arduino

Experience

 
 
 
 
 

Undergraduate Student Researcher

ICAROS Lab

Apr 2019 – Present California
Researched in Professor Stefanos Nikolaidis’ ICAROS Lab involving the following areas

  • Computer Vision
  • Multimodal Machine Learning
  • Natural Language Processing
  • Human Robot Interaction
 
 
 
 
 

Undergraduate Student Researcher

Interaction Lab

May 2018 – Present California
Researched in Professor Maja Matarić’s Interaction Lab involving the following areas

  • Human Robot Interaction
  • Human Computer Interaction
  • Computer Vision
  • Transfer Learning
  • Web development
 
 
 
 
 

Intern Full-Stack Engineer

4Paradigm

Jun 2017 – Aug 2017 Beijing, China
Developed an office automation website

  • Developed an office automation software which
  • Used Node.js, npm, Koa for server-side
  • Used Angular for client-side
  • Accessing and modifying database created automatically for the user

Accomplish­ments

Recent Posts

This tutorial shows how to work with Physical NAO.
Last updated on 2 min read

Installing NAOqi SDK and configure NAO with ROS.
Last updated on 2 min read

This tutorial shows how to use NAOqi SDK
Last updated on 1 min read

Projects

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All Machine/Deep Learning Robotics Computer Vision Other

Decentralized Federated Multi-Task Learning and System Design

Providing different control interface for telepresence robot for K-12 in-school education

Socially Aware, Expressive, and Personalized Mobile Remote Presence: Co-Robots as Gateways to Access to K-12 In-School Education

Providing different control interface for telepresence robot for K-12 in-school education

Infant-Robot Interaction as an Early Intervention Strategy

Our goal is to develop a socially assistive, non-contact, infant-robot interaction system to provide contingent positive feedback to increase exploration and expand early movement practice

Trust in Multi-Party Human-Robot Interaction

Building computational model of trust for human-robot interaction in group therapy setting

Recent & Upcoming Talks

Selected Publications

Recent Publications

Quickly discover relevant content by [filtering publications](/publication/).

Popular Topics

computer-vision machine-learning nao robotics ros tutorial

Contact

  • Ronald Tutor Hall (RTH) 3710 McClintock Ave, Room 423. Los Angeles, CA 90089
  • Monday - Wednesday 13:00 to 14:00, after 16:00
    Thursday, Friday 13:00 to 19:00