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Dr. Sunhwa A. Nam

Principal Investigator — Sun Research Lab

Dr. Sunhwa A. Nam is a computer scientist whose research sits at the intersection of AI systems engineering, software reliability, and responsible AI. Her work investigates how bias and uncertainty propagate through multi-stage machine learning pipelines, and how adaptive resource management strategies can make AI systems more robust and fair.

She holds a Ph.D. in Computer Science from Ewha Womans University, Seoul, where her dissertation introduced a unified low-power technique for processor and memory management in real-time task scheduling — foundational work that has since evolved into broader AI workload optimization research. She also completed graduate study at the Illinois Institute of Technology, where her proposed dissertation focused on data dependency analysis in automated test generation.

Prior to founding Sun Research Lab, Dr. Nam served as a Patent Examiner at the United States Patent and Trademark Office, where she examined applications in artificial intelligence and software systems. She has held academic appointments as Assistant Professor at Seattle Pacific University, Research Professor at Ewha Womans University, and Adjunct Professor at National Louis University, DigiPen Institute of Technology, and Sungkyunkwan University.

She is an IEEE Member and ResearchGate Member, and has presented her work at international venues including IEEE CCCI (Chongqing), IEEE CSDE (Australia), IEEE/ACIS ICIS (China), and the Korean Conference on Semiconductors.


Research interests
AI Systems Engineering Bias Dynamics in ML Pipelines Responsible AI Evaluation Software Reliability Adaptive Resource Management Real-Time Scheduling IoT & Edge Computing Automated Test Generation

Education
2017

Ph.D. in Computer Science

Ewha Womans University, Seoul, South Korea
Dissertation: A Unified Low-Power Technique for Processor and Memory in Real-Time Task Scheduling

2004

Ph.D. Candidate in Computer Science

Illinois Institute of Technology, Chicago, USA
Proposed dissertation: Analyzing Data Dependencies in Automated Test Data Generation

1996

M.S. in Computer Science

Illinois Institute of Technology, Chicago, USA

1986

B.S. in Physics

Ewha Womans University, Seoul, South Korea


Professional experience
Aug 2024 – Jun 2025

Patent Examiner

United States Patent and Trademark Office — AI & software systems applications

Jul – Oct 2022

Research Fellow

Ewha Womans University — Secure ultra-lightweight virtualization & IoT power optimization

Sep 2015 – Jun 2017

Research Assistant

Ewha Womans University — Data interpretation, synthesis, publication support