I’m a PhD candidate in Environmental Planning at UC Berkeley under the guidance of Professor John Radke and Professor Marta Gonzalez. Currently, I am interested in using GeoAI (computer vision, deep learning, network data science) to model natural hazards and predict risks for environmental planning and management of complex urban and natural systems.
I received my bachelor’s and master’s degree in Civil and Environmental Engineering at Seoul National University, where I was fortunate to be advised by Professor Yongil Kim and was part of the SPINS Lab reserach group. For my master’s thesis, I researched local climate zone classification using multispectral satellite images via multi-scale convolutional neural networks. For my bachelor’s thesis, I used DInSAR on Sentinel-1 images to detect North Korea’s nuclear test site.
Download my CV.
- Environmental Modeling
- GeoAI (Remote Sensing & GIScience)
- Risk & Resilience in Complex Systems
- Network Science
- Machine learning
PhD in Environmental Planning
2021~, UC Berkeley
MS in Civil & Environmental Engineering
2019~2021, Seoul National University
BSc in Civil & Environmental Engineering
2012~2017, Seoul National University
Recent Work
1. Urban and Environmental Planning
- [Research] Shared responsibility: A novel spatial metric for WUI planning and community resilience
- [Paper] From local to micro: Exploratory data analysis on urban forests and microclimates in Portland, Oregon, USA (*Accepted at IGARSS 2023 as co-author)
2. Natural Hazards
- [Research] Mapping post-fire debris flow risk using machine learning-based burn severity prediction
- [Paper] Towards global open-source fire spread modeling using machine learning (In Preparation)
3. GeoAI and ML/DL
- [Research] Wildfire burn severity prediction using deep learning
- [Paper] Semantic segmentation of enhanced lifeform maps using high resolution satellite images (*Oral Presentation at IGARSS 2023)
Research
Publications and Conference Proceedings
Experience
Related research and work experience
- Project: Mapping post-fire soil burn severity and risk to critical transportation infrastructure (Funded by Caltrans)
- Project: Multi-Scale Analysis for Improved Risk Assessment of Wildfires Facilitated by Data and Computation. (C3AI) Link
- Research assistant at SPINS Lab working on multiple research projects :
- Mapping Basic Spatial Information in North Korea Using Very High Resolution Satellite Images (The Institute for Peace and Unification Studies) Publication Link
- Detection and Monitoring of Natural Disasters Using Multi-Modal and Multi-Sensor Remotely-Sensed Imagery (Ministry of Interior & Safety)
- Development of an End-to-End Deep Learning based Technique to Generate Very High Resolution Environmental Data (National Research Foundation) Publication Link
- Wildfire damage assessment using multispectral satellite and Planetscope images Publication Link
- Solar power forecasting using geostationary satellite images and meteorological data Publication Link
- Spatiotemporal fusion of multispectral and thermal satellite images Publication Link
- Development of high-quality environmental data using satellite images via deep learning algorithms Publication Link
- Recorded ammunition transactions and composed ammunition inventory reports using Excel
- After working hours, self-studied satellite and radar remote sensing
- Contributed to writeup on pan-sharpening image fusion research using Worldview images Publication Link
- Analyzed ground deformations in inaccessible, remote areas using Sentinel-1 SAR images
- Assisted with fieldwork using a ground-based hyperspectral imager to monitor crop health
- Researched on photoacoustic image reconstruction of a line source using multiple regularization percentages with the addition of maximum intensity projection using Matlab
Teaching
Instructor and teaching experience
- LDARCH/ESPM 289 Applied Remote Sensing
- GEOG/LDARCH C188 Geographic Information Systems
- Teaching effectiveness: 6.311/7 (Dept. avg: 6.230/7)
- GEOG/LDARCH C188 Geographic Information Systems
- Graduate courses: Satellite Image Interpretation, Advanced Remote Sensing (KOMPSAT VHR imagery), Advanced Surveying
- Undergraduate courses: Leadership for Civil Engineers, Spatial Informatics and Systems, Remote Sensing
