“AI for weather and climate extremes: detection, attribution, prediction”, WCRP Open Science Conference 2023 (poster session), Kigali, Rwanda, Oct 2023 [Link]
“Uncertainty in climate modelling and projections”, CliMatters – Climate Change: Uncertainties, Thresholds and Coping Strategies, Graz (Online), Austria, Feb 2022 [Link]
“Observation-based Big Data in Hydrology”, Guest seminar invited by Civil and environmental engineering Dept., Yonsei University, Seoul, Korea, Oct 2024
“Use of machine learning in Hydrology”, Guest seminar invited by Hydrology & EcoClimate Lab, Yonsei University, Seoul, Korea, Dec 2021
“Hydrology-Biosphere-Climate Interactions: research in a data-rich world”, Guest seminar at Climate and Energy Engineering Dept., Ewha Womans University, Seoul, Korea, May 2019
“Toward more accurate and reliable precipitation data”, Guest seminar invited by Environmental Science and Engineering Dept., Ewha Womans University, Seoul, Korea, Apr 2018
“Uncertainties in observed precipitation”, Guest seminar at Climate and Energy Engineering Dept., Ewha Womans University, Seoul, Korea, Apr 2017
“SoMoBench: A benchmark dataset for soil moisture modeling with machine learning”, Spring Meeting of Korea Meteorological Society, Daejon, Korea, Apr 2024
“Ecological impacts of flash drought captured in satellite observational data”, Spring Meeting of Korea Meteorological Society, Busan, Korea, Apr 2023
“Terrestrial Ecosystem Responses to Flash Drought in Europe”, Fall Meeting of Korea Meteorological Society, Gwangju, Korea, Oct 2022
“Machine learning-based multilayer soil moisture datasets”, AOGS2022, Online, Singapore, Aug 2022
“The role of climate and vegetation in regulating drought-heat extremes”, Spring Meeting of Korea Meteorological Society, Busan, Korea, Apr 2022
“Robustness of machine learning across different climate regimes”, DK Final Workshop – CliMatters, Online, Graz, Austria, Feb 2022
“Application of machine learning under changing climatic conditions”, Fall Meeting of Korea Meteorological Society 2021, Online, Korea, Oct 2021 [Link]
“Augmenting satellite-derived soil moisture with multiple data streams using machine learning”, EGU2020 (replaced to online-display), Online, Austria, May 2020
“Comparing and merging machine learning with physical modeling”, IYI meeting, A Coruña, Spain, Dec 2019
“Getting the best of both worlds: physics-guided machine learning for hydrologic modeling”, AGU2019, San Francisco, USA, Dec 2019
“How robust is rainfall-runoff modelling performance in a changing climate?”, EGU 2019, Vienna, Austria, Apr 2019
“Performance of rainfall-runoff models under non-stationary climate conditions”, Korean Scientists and Engineers Associations in Austria 20th Anniversary Meeting – Next Generation Scientists in Europe, Vienna, Austria, Oct 2018
“Diurnal variation of summer rainfall over the continental United States based on MRMS Q3 radar data and its application to satellite validation”, Weather Radar and Hydrology 2017, Seoul, Korea, Apr 2017 Best Paper Award
“Evaluation of GPM IMERG rainfall estimates with WegenerNet gauge data in southeast Austria”, PMM 2016 Science Team Meeting, Houston, US, Aug 2016
“WegenerNet Feldbach and Johnsbachtal GV networks, Austria: Alpine forelands and mountainous terrain”, 7th Int’l Workshop for GPM GV, Seoul, Korea, May 2015
"인공지능과 기후변화 (AI and Climate Change)", Introduction to Electronic and AI System Engineering for First-Year Students, Kangwon University, Samcheok, Korea, Mar 2025
“Precip Folks”, Interview by the AGU Precipitation Technical Committee, Online, Dec 2021 [Link]
“지구온난화 1.5도 (Global warming of 1.5°C)”, Public lecture at the Myungduk girls’ high school, Seoul, Korea, Nov 2021
“One common enemy, a pandemic, uniting interdisciplinary teams”, Interview by iScience Backstory, Online, Aug 2021 [Link]
“Klimaforschung der Uni Graz ist bei der NASA gefragt”, Interview by the University of Graz, Austria, Apri 2018 [Link]
“When it Rains, it Pours: Extreme Precipitation and its Observation”, “Only One Way to Measure Precipitation”, etc. Blog posts at Climate Footnotes, Online, 2016 – 2017 [Link]