OpentoWork Web App
A job recommendation web app that matches job postings with user profiles
based on skill sets, visa sponsorship, and other attributes using LLM models.
GitHub Repo
YouTube Trends Dashboard
A visualization showing what categories trend, variation of trends over the years,
and trending patterns across countries.
Dashboard
Pest Detection
This project employs machine learning and perception methods to
improve early detection of insect pests from imagery.
The research investigates a problem in computer vision where models
trained on image datasets with "perfect" conditions may not perform well
in the wild due to deformations and occlusion. Another problem we
examine is how to deal with limited insect data. The solution proposed is
to use synthesized images in the training set to represent arbitrary
viewpoints and deformations, thus narrowing the gap between in-sample
and out-of-sample errors.
Poster
Cropland mapping
This project aims to help improve agricultural extension services
for African smallholder farmers while providing a scalable, sustainable model
for generating open agricultural maps and ground-truth data.
I help improve the accuracy of cropland mapping ML model with Prof Lyndon Estes.
AIRG Research Group
Cropland Mapping
Mapping Africa
Example GitHub repo
Book-EZ
A scalable online bookstore web application featuring database management to improve organization
and data processing
as measured by an increase in productivity by 20%.
Technologies: HTML, CSS, Bootstrap, JavaScript, jQuery, NodeJS, MongoDB.
GitHub repo
YouTubeCommentAnalysis Python Package
A Python package to decrease time processing YouTube’s comments data as featured in CHI publications
by doing text cleaning, emotion analysis, and topic modeling.
Technologies and libraries: YouTube Data API, nltk, gensim, pandas
PyPI page
GitHub repo
Investigating Multimodal Interactions and Parasocial Attractiveness in YouTube
ASMR Videos
This work annotates and analyzes the interaction modalities and parasocial attractions
of 2663 ASMR YouTube videos to characterize viewers' experiences.
YouTube comment sections are analyzed to compare viewers' responses to different ASMR interactions.
The result demonstrates 3 experiences that ASMR videos can provide as published in CHI Conference
Paper.
CHI22
Paper
CSCW2021
Poster
#StayHome #WithMe: How Do YouTubers Create Videos for COVID-19 Loneliness?
Loneliness threatens public mental well-being during COVID-19 isolation.
YouTube creators responded to the call of #StayHome #WithMe movement and
made myriad videos for people who feel lonely or bored at home.
Grounded on Weiss's loneliness theory, this work analyzed 1488 SHWM videos on YouTube
to examine video-sharing as a pathway to social provisions.
Findings summarize popular types of videos to engage viewers suggested for
supporting viewers’ mental well-being in disasters as measured by CHI Conference Paper.
CHI21
Paper
Clark Winter
Fest 21 Poster
Nguyen B. Ha, Philippe Nziza, 2023. Experiments in Synthesized views for Improved Pest Detection. In ClarkFEST 20223, April 26, 2023. Worcester, MA, US. [poster]
Shuo Niu, Ava Bartolome, Nguyen Binh Ha, Keegan Veazey. 2022. Close-up and Whispering: An Understanding of Multimodal and Parasocial Interactions in YouTube ASMR videos. In CHI ’22: ACM CHI Conference on Human Factors in Computing Systems, April 30 - May 6, 2022, New Orlean. ACM, New York, NY, USA. [paper]
Ava Bartolome, Cat Mai, Nguyen Binh Ha, 2021. #StayHome #WithMe Investigating How YouTubers Help Deal with COVID-19 Loneliness. In Clark University Winter Fest 2021, February 5, 2021. Online virtual. [poster]