2025.11.07JooHyeon HeoResearch Revolutionary Recycling Technology Extracts 99% Purity of Nickel and Cobalt from Waste Batteries The findings of this research have been published in the October 2025 issue of Energy Storage Materials.
2025.09.26JooHyeon HeoResearch Finer-Scale Monitoring of Ammonia Emissions That Contribute to Fine Particulate Matter The study was published in the esteemed journal Journal of Hazardous Materials (Impact Factor = 11.3) on September 15, 2025.
2025.07.15JooHyeon HeoPeople Feces Standard Money (fSM): A New Economic Paradigm—From Waste to Worth! Professor Jaeweon Cho (CUEEn, UNIST) has released his latest work, "Feces Standard Money (fSM): A New Economic Paradigm—From Waste to Worth!"
2025.06.04JooHyeon HeoResearch New AI-Based Method Enables Hourly Monitoring of GPP from Geostationary Satellites Their findings have been published in Remote Sensing of Environment (IF: 11.1) on June 1, 2025.
2025.06.24JooHyeon HeoResearch Revolutionary AI Enhances Sea Surface Temperature Data for Better Climate and Weather Forecasts The findings of this research have been published in Remote Sensing of Environment (Impact Factor: 11.1) on June 1, 2025.
2025.05.22JooHyeon HeoNews UNIST Researchers Present Future Urban Design Solutions to Address Local Extinction at EXPO 2025 Osaka Professors Seungho Park-Lee and Gihyoug Cho led an international panel discussion hosted by the EU during the EXPO 2025 Osaka in Japan.
2025.10.28JooHyeon HeoResearch Study Reveals Contrasting Optical Properties of Fine Particulate Matter in Seoul and Mexico City, Highlighting Climate Impacts Their findings have been published in Environmental Science & Technology (Impact Factor=11.3) on September 12, 2025.
2025.05.29JooHyeon HeoNews UNIST Secures 38.5 Billion KRW Research Project to Address Climate Change through AI and Satellite Technology UNIST Department of Civil, Urban, Earth, and Environmental Engineering has secured a major research project worth 38.5 billion KRW by the KMA.
2025.10.21JooHyeon HeoResearch Innovative AI Technology Enables Rapid, Cost-Effective Inspection of Nuclear Power Plant Equipment Using Single Seismic Sensor The research findings were published in Computer-Aided Civil and Infrastructure Engineering on September 9, 2025.
