About Me
I am a graduate research student pursuing a Master's degree in Aerospace Engineering at KAIST. As a member of the Laboratory for Information and Control Systems (LICS), I have the privilege of being advised by Professor Hanlim Choi.
My work focuses on applying principles from modern control theory and mathematical optimization to solve complex challenges in spacecraft Guidance, Navigation, and Control (GNC). My specific focus is on developing robust and efficient algorithms that enable greater autonomy in spacecraft missions and mobile robotics.
Education
- M.S. Aerospace Engineering, KAIST, Daejeon, South Korea (2024 - 2026, expected)
Advisor: Prof. Han-Lim Choi
Research: Stochastic Optimal Control, Learning-Based Control, Mobile Robot Planning, Spacecraft GNC - B.E. Aerospace Engineering, KAIST, Daejeon, South Korea (2020 - 2024)
Research: Navigation Integrity Monitoring for Autonomous Urban Air Mobility
Research Experience
- Laboratory for Information and Control Systems (LiCS), KAIST (Mar. 2024 – Present)
Graduate Student Researcher | Advisor: Prof. Han-Lim Choi
Focus: Control Theory, Robot Navigation, Differentiable Optimization. - Space Prototyping Lab, KAIST (Jul. – Sep. 2023)
Independent Study | Advisor: Prof. Hyosang Yoon
Focus: Spacecraft attitude determination & control, simulator design. - Global Navigation Satellite Systems Lab, KAIST (Dec. 2021 – Dec. 2022)
Undergraduate Research Student | Advisor: Prof. Jiyun Lee
Focus: GPS & RAIM research, RAIM-based LADGNSS/barometer integration. - Flight Dynamics and Control, KAIST (Jun. – Aug. 2021)
Independent Study | Advisor: Prof. Chang Hun Lee
Focus: Numerical methods for control, rocket landing optimization.
Awards and Honors
- 1st Team, 2nd AIAA Non-cooperative Differential Game Challenge 2025
- 1st Team, ICRA 2024 Barn Challenge 2024
- Best Paper Award, Korean Institute of Navigation Conference 2023
- Grand Prize Winner, Pioneers 2071: Questioning the Next 50 Years 2021
- Global Korea Scholarship, 2019-2024
- Rank 1, Ethiopian National School Leaving Examination (out of 500,000+ candidates) 2018
Skills
- Languages: Python, C++17, MATLAB
- Python Ecosystem: PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, OpenCV, spaCy
- C++ Libraries: Standard Template Library (STL), Eigen, Point Cloud Library (PCL)
- Robotics & Simulation: ROS / ROS 2, Gazebo, PyBullet
- Mathematical Optimization: CasADi, CVXPY, Gurobi, Ceres Solver
- Developer Tools: Git, Docker