Computer Science · Iowa State University

Hi! I’m Eunwoo

I’m a computer science student who enjoys building AI systems that people can understand, question, and trust.

My interests sit between human-centered AI, interactive systems, and responsible evaluation. Lately, I’ve been thinking about how interfaces can help people notice failures, understand uncertainty, and make better decisions with complex AI systems.

See my work Say hello

CV GitHub LinkedIn

What I’m curious about

Research starts with a good question.

Can people see when AI is struggling?

I design interfaces that make model failures and system limits visible before they become costly.

How should uncertainty feel?

I explore visual explanations that help people act on uncertainty without being overwhelmed by it.

What makes deployment accountable?

I build evaluation, monitoring, and replay tools for AI systems in changing, high-stakes environments.

Selected work

Projects I’ve enjoyed working on.

AMFRAICo-first author · 2025–26

Making flood-risk predictions easier to explore.

AMFRAI is a browser-based decision-support interface for viewing predicted flood depth and velocity across locations, return periods, and map layers.

Side-by-side comparison of flood depth and velocity
React and ArcGIS JavaScript interface for standard web devices
Fast map rendering through offline AI prediction

Presented at CSC 2026 and an Iowa State University poster competition.

AMFRAI web interface showing flood depth and velocity maps side by side — AMFRAI’s split view makes two flood responses easy to compare.

RANscopeKAIST AI-Native Networking Lab · 2026

Helping researchers see what autonomous robots are doing.

RANscope is a ten-screen observability environment that connects robot health, mobility, radio, infrastructure, metrics, and logs across edge-assisted AI-RAN experiments.

10connected views

17,280validated time-series points

24 hrsynthetic validation run

Built with MQTT, WebSocket, Prometheus, Loki, Parquet, and SQLite, including synchronized replay and explicit unknown states.

RANscope mobility map showing a robot route through the second floor of the N1 building — RANscope’s mobility view connects a robot’s route, latest position, serving radio unit, and observation status in one screen.

Publication

Writing & presenting

In press · CSC 2026

Web Application for All-Time Maximum Flood Response Prediction by AI (AMFRAI)

D. Abuoliem*, E. Won*, I. Cintura, A. Arenas, and I. H. Cho

* Equal contribution

A little more about me

Background

Fall 2025

Occaiso

Campus engagement platform

Spring Boot services for attendance, geofencing, real-time chat, notifications, and scheduled workflows.

Fall 2025

Cafe Delight

Full-stack web application

A data-backed catalog and ordering experience built with React, Vite, Node.js, Express, and Sequelize.

Spring 2026

Applied Machine Learning

Selected coursework

Classification, regression, feature engineering, and model evaluation across tabular and text datasets.

Let’s talk

Have a question, idea, or research project in mind?

I’d be happy to hear from you.

eunwoo07@iastate.edu