Chung Hwan Kim

Ph.D. - Computer Science
Purdue University - 2017

M.S. - Computer Science
University of Utah - 2012

B.S. - Computer & Information Sciences
Sunmoon University - 2008

See https://www.s3lab.io/pubs for details of the publications (PDF, BibTeX, and code). - Link

TZ-DATASHIELD: Automated Data Protection for Embedded Systems via Data-Flow-Based Compartmentalization 2025 - Conference Paper

FreePart: Hardening Data Processing Software via Framework-based Partitioning and Isolation 2024 - Conference Paper

Building GPU TEEs using CPU Secure Enclaves with GEVisor 2023 - Conference Paper

Confidential Execution of Deep Learning Inference at the Untrusted Edge with ARM TrustZone 2023 - Conference Paper

DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing 2022 - Conference Paper

Find My Sloths: Automated Comparative Analysis of How Real Enterprise Computers Keep Up with the Software Update Races 2021 - Conference Paper

PASAN: Detecting Peripheral Access Concurrency Bugs within Bare-metal Embedded Applications 2021 - Conference Paper

UT Dallas New Faculty Research Symposium Grant Award - The University of Texas at Dallas [2021]

Top 10 Finalist, CSAW Best Applied Research Paper Award - NYU Tandon School of Engineering [2018]

Assistant Professor
Department of Computer Science, University of Texas at Dallas [2020–Present]

Affiliated Faculty
Department of Electrical & Computer Engineering, University of Texas at Dallas [2020–Present]

Researcher
NEC Labs [2017–2020]

See https://www.s3lab.io/projects for the complete list of projects.

Bug Hunting in Self-driving Cars

Autonomous driving systems (ADS) are steadily becoming a reality, and experts expect them to be safer than human drivers. Unfortunately, there continues to be cases of accidents, including fatal ones, caused by flaws in ADS. A systematic approach to find and eliminate bugs in ADS is needed but did not exist.

Increasing Smart Factory Cybersecurity using a Trusted Execution Environment

“Our project focuses on protecting data generated by IIoT devices so attackers cannot eavesdrop on or steal data from smart factories or manipulate smart manufacturing processes,” said Dr. Chung Hwan Kim, assistant professor in UT Dallas’s department of computer science.

Spring 2021 Seed Grant Winners

The Office of Research’s seed grant initiatives provides funding for faculty across various disciplines.

Jonsson School Welcomes New Faculty

The Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas has added nine new tenure-track faculty this year.