I am Juyeop Han, a Ph.D. student at MIT LIDS, advised by Prof. Sertac Karaman. I am currently interested in (1) uncertainty quantification of neural networks and (2) its application to robotics.

I recieved MS degree in Aerospace Engineering at KAIST advised by Prof. Han-Lim Choi and BS degree in Mechanical Engineering at Seoul National University (SNU) under the supervision of Prof. Sung-hoon Ahn. I worked as a visiting scholar at University of Colorado Boulder (CU Boulder), where I collaborated with Prof. Zachary Sunberg between October 2022 and February 2023. My research duriny my master’s program lied in (1) dynamic occupancy grid mapping with a LiDAR sensor and (2) Reachability analysis for agile and safe flight of a quadrotor.

News

[03 JUL 2024] I have been selected to receive a 2024-2025 MathWorks Mechanical Engineering Fellowship.

[30 JUN 2024] My paper on NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification has been accepted for oral presentation at IROS 2024.

[01 SEP 2023] I have joined AERA Lab at MIT as a graduate research assistant!

[10 JUL 2023] Our RSS Inference and Decision Making for Autonomous Vehicles (IDMAV) workshop was successfully held.

[21 MAR 2023] Our proposal on RSS workshop Inference and Decision Making for Autonomous Vehicles (IDMAV) has been accepted.

[20 JAN 2023] My paper on Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers has been accepted for presentation at ACC 2023.

[16 JAN 2023] My paper on DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory has been accepted for presentation at ICRA 2023.