Self-driven, quick starter, passionate programmer with a curious mind who enjoys everyday life and love sloving the problems in the world.

About

Hello! I’m Huanfeng Yeh. During my Computer Science master's studies at Northeastern University, ChatGPT completely changed my academic journey, providing a more effective way to learn and approach challenges. However, it wasn’t until I introduced it to my family that I realized its dual impact: while empowering some, it inadvertently leaves others behind. I saw my parents—intelligent yet unfamiliar with such technology—struggle to connect with it. Recognizing AI's transformative power and its growing ubiquity, I am driven to design inclusive, human-centered AI solutions that bridge this divide, ensuring empowerment for users of all backgrounds and abilities.

Transition to Computer Science

My mission to design inclusive technology began during my undergraduate studies at National Changhua University of Education. As a research assistant, I developed robotic teaching systems for students with autism, an experience that revealed technology's transformative power as a bridge for communication and learning. While my background in Electrical Engineering provided a solid technical foundation, I realized that software offered greater flexibility and scalability to address these challenges on a larger, more impactful scale. This realization drove my transition to Computer Science and culminated in my Master's degree from Northeastern University.

Eager to deepen my expertise in Human-Centered AI, I actively pursued advanced coursework and research opportunities. Despite not meeting formal prerequisites, I successfully petitioned to join Professor Dakuo Wang’s Human-Centered AI Seminar, leveraging my undergraduate foundation in Artificial Intelligence to secure a spot. This course proved transformative, allowing me to research the application of generative AI chatbots in educational settings. I examined both their immense potential and their limitations, particularly in addressing accessibility needs. Remarkably, many of the features and patterns my research identified were later reflected in updates to ChatGPT just a few months afterward. This coincidence emphasized the importance of research that anticipates and addresses the needs of diverse users in a rapidly evolving technological landscape.

Academic and Research Growth

Besides from the experience, I participated in a research project from Empirical Research course investigating the impact of cognitive games on focus and performance. This experience further demonstrated my ability to design user-centered studies, analyze complex data, and translate findings into actionable insights. It reinforced my commitment to leveraging technology to address real-world challenges.

Professional Experience and Practical Applications

My professional experiences have shaped my commitment to inclusive technology. At Code for Boston, I contributed to the MAPLE web app, improving its reliability and efficiency. This work, combined with personal projects in mobile app development, deepened my understanding of how user interfaces shape user experiences. Currently, at MAPLE, a nonprofit platform for simply view and submitting legislative testimony to Massachusetts Legislature about the bills, I have witnessed firsthand how accessibility in digital platforms can either empower or hinder engagement, particularly for underrepresented communities. These experiences have strengthened my resolve to create intelligent systems that are equitable and accessible to all.

Research Interests and Future Goals

My goal in pursuing a PhD in Computer Science is to develop intelligent systems and interfaces that adapt to the needs of users, particularly vulnerable populations such as the elderly and individuals with disabilities. I aim to explore how AI, machine learning, and robotics can be harnessed to create intuitive, responsive user experiences, enabling individuals to engage with the world in ways previously out of reach. Coming from Taiwan and a background in Electrical Engineering, I bring a unique interdisciplinary perspective and cultural lens to this work, which I believe will enrich research and innovation in this field."

  • Languages: Python, Java, JavaScript, C, C++, HTML/CSS, Bash
  • Databases: MySQL, PostgreSQL, MongoDB
  • Frameworks: ReactJS, Django, Angular, React Native
  • Tools & Technologies: Git, Docker, AWS, Heroku, JIRA, Playwright

Experience

Software Developer
  • Developed Playwright E2E tests for the MAPLE web app, creating test coverage for database operations, validating that the app properly interacts with Firebase and NodeJS backend systems.
  • Utilized JavaScript and TypeScript with Page Object Model to design test frameworks, reducing test maintenance.
  • Improved test reliability by automating 80% of manualtests, optimizing the workflow for validating user roles and database consistency through Firebase Emulator in Docker.
  • Tools: JavaScript | Firebase | Playwright
May 2024 - Present | Boston, Massachuset
Research Assistant
  • Developed and implemented software solutions for interactive robotic systems used in educational settings.
  • Troubleshot hardware and software interfaces, optimizing communication protocols between devices.
  • Collaborated with an interprofessional team to create a teching model tailored for students with ASD.
  • Tools: LabVIEW | PLC
Sep 2019 – Jan 2020 | Changhua, Taiwan
Group Project Software Developer
  • Architected a scalable database system by implementing a NoSQL with Cloud Firebase, handling over 10K data entries.
  • Implemented the JSON web service to accelerate the data storage and retrieval process for managing metadata.
  • • Created a user-friendly search webpage that improved browsing time by 30%.
  • Tools:Java | Firebase | JSON | XML
Jan 2023 – May 2023 | Massachuset, Boston

Research Experience

Research study on graduate students' views on AI chatbots
Exploring the Perspectives of Graduate Students on Generative AI Chatbots in Educational Contexts
Accomplishments
  • Collaborated with a team of three to investigate the use of generative AI chatbots, such as ChatGPT and Google Bard, in educational environments as part of a class research project.
quiz app
Cognitive Games & Focus – Investigating the Impact of Sudoku
Accomplishments
  • Completed a mixed-methods research project investigating the impact of playing cognitive games, such as Sudoku, on focus and cognitive performance.

Education

Northeastern University, Khoury College

Massachuset, USA

Degree: Master of Science in Computer Science
CGPA: 3.66/4.0

    Relevant Courseworks:

    • Empirical Research Methods
    • Seminar: Artificl Intelligence

National Changhua University of Education

Changhua, Taiwan

Degree: Bachelor of Science in Electical Engineering
CGPA: 3.9/4.0

    Relevant Courseworks:

    • Artificial Intelligence
    • Object-Oriented Program Design
    • Machine Learning
    • Computer Vision

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