Brian Hyeongseok Kim

Email: brian.hs.kim[AT]usc.edu

Experiences: LinkedIn and Full CV.

Brian Hyeongseok Kim is a 2nd year M.S./Ph.D. student in Computer Science at the University of Southern California (USC), advised by Prof. Chao Wang since Fall 2022. Prior to USC, he received his B.S. in Computer Science at New York University Abu Dhabi (NYUAD), advised by Prof. Christina Pöpper.

Brian has a broad interest in software engineering and more specifically security or fairness verification in software. He has 3+ years of cross-functional experience in industry, government and academia. His skills range from mobile app development and data analysis to software deployment and research.

Brian takes pride in being interdisciplinary, with in-depth knowledge of computer science on top of minors in psychology and interactive media. He is also highly adaptable and skilled in intercultural communication, thanks to his study and work experiences around the world (United States, South Korea, Italy, Argentina, Sweden, and the United Arab Emirates).

Education

University of Southern California, Los Angeles, USA (2022 - present)
M.S./Ph.D. in Computer Science

New York University, Abu Dhabi, UAE (2016 - 2022)
B.S. in Computer Science (Cum Laude)
Minors in Interactive Media and Psychology

Ongoing Projects

1. Neural Network Fairness Verification, 2022-Present, ongoing work

• C, Python (TensorFlow, NumPy, Pandas), Gurobi

2. Extending Extension Fingerprinting to Mobile Devices, 2021-2022, work under submission

• JavaScript, MongoDB, Node.js, SQL, HTML, CSS, Web API

Personal

1. I am actively running a book review / reflection blog, so give it a read!
2. I play the clarinet at a local LA orchestra called the Heart of Los Angeles Eisner Intergenerational Orchestra (HOLA EIO). Please join us if you are a music enthusiast.
3. I have always been "on the go" since I moved from South Korea to Virginia when I was 9 years old. Since then, I lived in Italy and the United Arab Emirates and have documented my experiences.

Available Projects

1. Modeling Earthquake Damage using Machine Learning, Spring 2023

• Python (Keras, TensorFlow, Scikit-Learn)

2. Game-Theoretic Planning for Intersection Crossing, Fall 2022

• Python (NumPy, QPSolvers)

3. Teaching Material for CSCI 310, Fall 2022

• Outlined product requirements for an event discovery app; Provided tutorial on Firebase on Android Studio

4. SimpleDB, Spring 2021

• Java, JUnit, Ant, Eclipse

5. JABR e-Grocery, Spring 2021

• MongoDB, Node.js, Express.js, HTML, CSS, JavaScript

5. Container-based Video Streaming Microservices, Fall 2020

• Docker, Kubernetes

6. Nitaq: Gamified Lesson Plans, Spring 2020

• Java for Android app; HTML, CSS, and JavaScript for web app
• Audience Award at 2020 NYUAD International Hackathon for Social Good

7. Interactive Media Collections, Spring 2020

• C++ in Processing and Arduino