Georgia Institute of Technology · Atlanta, Georgia
Aug 2023–present
Ph.D. in Electrical and Computer Engineering
Curriculum Vitae
Yerin Kim
Ph.D. Student · Electrical & Computer Engineering · Georgia Institute of Technology
Research interests: Autonomous Decision-Making, Control, Optimization and Robotics
Education
Seoul National University · Seoul, South Korea
Mar 2017–Aug 2022
B.S. in Naval Architecture and Ocean Engineering
Minor in Science and Technology Studies
Rutgers, The State University of New Jersey · New Brunswick, New Jersey
Jan–May 2020
Exchange Program, Mechanical Engineering
Research Projects
Deception in Discrete-Time Linear-Quadratic Control
Aug 2025–present
Deceptive controllers for discrete-time linear-quadratic systems under adversarial detection constraints, based on sequential hypothesis testing. Derived semi-explicit optimal controllers with well-posedness guarantees, with analytical and Monte Carlo methods to characterize detection probability.
Metrics and Tactics for Deception in Sequential Decision Systems
May 2024–Feb 2026
Regularized policy-optimization formulations for three forms of deception in multi-agent MDPs against inverse reinforcement learning (IRL) adversaries. Derived performance-loss bounds and evaluated the strategies on a 5-agent MDP with 248K+ joint state-action pairs using three IRL methods.
MPC-Based Block-Lifting Control of Floating Cranes
Mar 2021–Jun 2022
Constrained model predictive control for underactuated floating-crane block lifting under marine disturbances, with an augmented controller that compensates disturbances online using next-step prediction.
Design of Distributed SVM Algorithm using Blended Dynamics Approach
Apr–Dec 2021
Consensus-based algorithm for distributed support vector machines in private, online learning settings, with a distributed optimization method for the dual SVM validated in MATLAB.
Simultaneous Localization and Mapping (SLAM) of Robots
Aug 2020–Feb 2021
LiDAR-based graph SLAM in Python using scan matching, loop closure, and pose-graph optimization to estimate robot trajectories and reconstruct environment maps.
Publications
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2026
Deceptive Sequential Decision-Making via Regularized Policy Optimization
Journal of the Operational Research Society, Accepted, 2026
- 2026
-
2026
Hybrid multibody dynamics-based model predictive control of suspended blocks for floating cranes in waves
Journal of Computational Design and Engineering, 13(8), 52–70 · qwag068
Journal articleArticle -
2024
Defining and Measuring Deception in Sequential Decision Systems: Application to Network Defense
MILCOM 2024 – IEEE Military Communications Conference · pp. 1–6
Conference paperIEEE Xplore -
2021
Design of Distributed Support Vector Machine Algorithm using Blended Dynamics Approach
Autumn Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2021 · pp. 528–530
Conference paperDBpia
Presentations
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2026
Deception in Linear-Quadratic Control
DCL Student Symposium 2026, Decision and Control Laboratory, Georgia Tech · Atlanta, GA, USA
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2024
Defining and Measuring Deception in Sequential Decision Systems: Application to Network Defense
IEEE MILCOM 2024 · Washington, DC, USA
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2021
Design of Distributed Support Vector Machine Algorithm using Blended Dynamics Approach
Autumn Annual Conference of the Institute of Electronics and Information Engineers (IEIE) 2021 · Incheon, South Korea
Industry Experience
ABB Robotics
May–Aug 2026
Agentic AI Intern, AI Robotics Lab · Milpitas, CA
Built an end-to-end perception pipeline for robotic pick-and-place, from object detection and segmentation to pick-point generation, and compared specialized and foundation vision models on accuracy, compute cost, and human-in-the-loop effort. Ran a proof-of-concept study of V-JEPA2 video representations for early robotic-failure detection.
Blux
Jul 2022–Jun 2023
Project Manager & ML Engineer · Seoul, South Korea
Implemented a Transformer-based, prompt-driven offline RL recommender for sequential next-item prediction, which significantly increased purchase conversion in client-run A/B testing, and led its delivery from data collection through deployment.
Daewoo Shipbuilding & Marine Engineering
Jul 2020
R&D Intern, Smart-ship Solutions Team · Siheung, South Korea
Implemented collision-free path planning for autonomous ship navigation with Dijkstra and A* in C#, and built a simulation framework to evaluate trajectories across collision-avoidance scenarios.
Skills
- Programming
- Python, C#, MATLAB
- Machine learning & robotics
- PyTorch, TensorFlow, robotic perception, computer vision, SLAM, RL, IRL
- Autonomy & control
- MDPs, MPC, optimal control, multi-agent systems
- Optimization & software
- CVXPY, Gurobi, Git, Linux
Honors & Awards
CREATION Award
Nov 2023
Received a $1,500 award for developing an interactive Maple document visualizing root locus for Linear Systems and Control, working with Prof. Erik Verriest.
Wonjang Foundation Scholarship
Dec 2021
Awarded for excellent academic performance.
Honorable Mention — Undergraduate Thesis Competition
Nov 2021
Recognized for “Design of Distributed Support Vector Machine Algorithm using Blended Dynamics Approach” at the IEIE Undergraduate Thesis Competition.
Certificate of Appreciation — Engineering Outreach
Jul 2021
Recognized by the Dean of the College of Engineering at Seoul National University for contributions to AI education for middle school students in South Korea through AI Tech Play.
WINNS Fellowship
2018–2021
Recognized for helping expand the network and preparing a mentoring day for women engineers.
Altwell Mincho Scholarship
Mar 2018–Aug 2021
The scholarship supports students committed to contributing to society with integrity, justice, and ethical responsibility.
Merit-based Scholarship
Spring 2017 · Spring 2018 · Spring 2019 · Fall 2019 · Spring 2021
Teaching & Outreach
Graduate Teaching Assistant
Fall 2023 · Spring 2024
Feedback Control Systems · Georgia Tech
Delivered two lectures on behalf of the course instructor.
AI Tech Play
Feb–Aug 2021
Created AI educational materials for over 200 students for the MIT Beaver Works Autonomous Vehicle program, co-authored Python Basics for AI with OUTTA, and gave a seminar on engineering and AI to middle school students.
STEM: SNU Tomorrow’s Engineering Membership
Mar 2019–Aug 2022
Co-authored I Want to Be an Engineer, a teen’s guide to engineering studies and careers. Facilitated academic discussions across engineering and science, and offered vision mentoring to sophomore and junior engineering students.
Visiting Engineering Volunteers
Aug 2017
Organizer & Mentor · Goseong, South Korea
Organized a volunteer program introducing science and engineering to 60+ underrepresented students, from building mini motor boats with elementary students to introducing engineering majors to high school students.
Selected Graduate Coursework
- Control
- Linear Systems and Control, Nonlinear Systems, Optimal Control, Networked Control
- Machine learning
- Statistical Machine Learning, Mathematical Foundations for Machine Learning
- Optimization
- Convex Optimization, Optimization Theory and Application
- Reinforcement learning
- Advanced Topics in Naval Architecture: Reinforcement Learning and Optimal Control
- Robotics
- Special Topics: Advanced Mobile Robotics (In progress)
Contact
yerinkim@gatech.edu
Georgia Institute of Technology · Atlanta, Georgia