Keumchul
Shin is an Associate Professor in the Department of Forest Environmental Resources at Gyeongsang National University, Jinju, Republic of Korea, where he also serves as Director of the Tree Diagnostic Center. His academic expertise bridges mycology, forest pathology, and forest health. His research primarily focuses on the taxonomy, species diversity, and ecological roles of macro, wood-decay, endophytic, and pathogenic fungi in national parks and diverse forest ecosystems in South Korea. He integrates traditional mycological field surveys with advanced molecular approaches, including DNA metabarcoding and quantitative real-time PCR, to analyze complex fungal communities and
plant-microbe interactions. His applied research is also dedicated to developing sustainable forest management strategies, including the exploration of eco-friendly biological control agents against forest and veteran tree diseases, as well as the development of molecular diagnostic tools and low-cost spore-trap-based monitoring systems for early detection and forecasting of forest diseases.
Keumchul
Shin is an Associate Professor in the Department of Forest Environmental Resources at Gyeongsang National University, Jinju, Republic of Korea, where he also serves as Director of the Tree Diagnostic Center. His academic expertise bridges mycology, forest pathology, and forest health. His research primarily focuses on the taxonomy, species diversity, and ecological roles of macro, wood-decay, endophytic, and pathogenic fungi in national parks and diverse forest ecosystems in South Korea. He integrates traditional mycological field surveys with advanced molecular approaches, including DNA metabarcoding and quantitative real-time PCR, to analyze complex fungal communities and
plant-microbe interactions. His applied research is also dedicated to developing sustainable forest management strategies, including the exploration of eco-friendly biological control agents against forest and veteran tree diseases, as well as the development of molecular diagnostic tools and low-cost spore-trap-based monitoring systems for early detection and forecasting of forest diseases.