Seoul, South Korea

Hi!
I'm Namho

I am a Ph.D. candidate at the Kim Jaechul Graduate School of AI, KAIST, advised by Prof. Kee-Eung Kim in the AIPR Lab. My research applies reinforcement learning and robotics to agriculture, with work spanning agricultural manipulation and mobile GUI agents.

Previously, I was a machine learning engineer at NVIDIA, where my work on the ACE SDK was featured in NVIDIA's CES 2026 announcement, and a software engineer intern at Samsung Research America. I received my M.S. in Computer Science and Engineering from the University of Michigan, advised by Prof. Rada Mihalcea, and my B.S. in Computer Science and AI from the University of Sussex with first-class honours, advised by Prof. Andy Philippides.

Namho Koh

Updates

Oct 2026

Attending EMNLP 2026 in Budapest.

Oct 2026

Presented robotic leaf-pruning and harvesting manipulation for greenhouse crops at the NAIRL Innovation Showcase 2026. Press coverage

Aug 2026

Two papers accepted to EMNLP 2026 (Main Conference and Findings).

Publications

EMNLP 2026

Main Conference

Dynamic Context Allocation for Concurrent Multi-Agent LLMs

J. Na, D. E. Matsunaga, N. H. Koh, J. Lee, P. Poupart, K. Kim

EMNLP 2026

Findings

Same Tasks, Different Apps: Why Mobile GUI Agents Fail to Generalize?

T. Tran*, N. H. Koh*, A. Jain, D. E. Matsunaga, K. Kim

* Equal contribution

LREC-COLING 2024

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models

O. Ignat, Z. Jin, A. Abzaliev, et al., including N. H. Koh, R. Mihalcea

Under review

Four manuscripts in double-blind review

ICLR 2027, AAAI 2027 (2), WACV 2027

In the News

Edaily

Oct 2026

대학 AI기술 45건 ‘산업 데뷔전’

Featured for my greenhouse crop manipulation demo at the NAIRL Innovation Showcase 2026 (in Korean).

Teaching

Fall 2026

Deep Reinforcement Learning (AI611), KAIST (Teaching Assistant)

Fall 2025

Mathematics for AI (AI503), KAIST (Teaching Assistant)

Fall 2023

Parallel Computing (EECS 587), University of Michigan (Graduate Student Instructor) | Lecture

Winter 2023, 2024

Information Retrieval and Web Search (EECS 486), University of Michigan (Graduate Student Instructor) | Lecture