Dr. Jeong is an earth system scientist who strives to better represent our observations and understanding of the world around us so that he can provide more plausible future trajectories of our planet. To do that, he uses and modifies previously developed models, as well as creates new approaches related to physical models and biomimetic algorithms. He tries to play with his kids so that he can remind himself what his calling is and what truly matters in life.

JungJin Kim is a hydrologic engineer. He holds a Ph.D. in Biological and Agricultural Engineering from the University of Idaho, specializing in integrated water resources management and climate-change adaptation. His research integrates hydrologic modeling, AI, and environmental big-data analytics to assess how climate and land-use change affect water quality and ecosystem sustainability. At Seoul National University of Science and Technology (SeoulTech), he leads projects on AI-driven environmental intelligence, generative-AI models for environmental information processing, and data-centric decision support for watershed management. Previously, he studied the effects of grazing management on streamflow, soil carbon, and ecosystem services. He pursues the integration of data science and environmental engineering to advance adaptive, sustainable solutions.

Juseong is Environmental Informatics researcher (Ph.D. Student) who seeks to build a more holistic understanding of water processes through exponential technologies. His current work focuses on human social sensing and development of socio-hydrology models that combine physical and data-driven approaches. His background in environmental engineering and geospatial analysis supports his interest in bridging data and the environment. Outside the lab, he enjoys freediving to deepen his connection with water.

Sonali Kamble is an environmental engineer who works to understand the feedbacks between human and water systems to improve sustainable water management. She is developing a general socio-hydrology model that aims to capture these interactions and address real-world water challenges. Her background in soil and water conservation, along with experience in GIS, remote sensing, and watershed management, guides her research toward practical and sustainable solutions. In her free time, she enjoys taking care of plants and finds relaxation in nurturing them.

Minah is a Ph.D. student in environmental modeling. She studies how human activities and climate affect environmental systems. She uses physically-based models to simulate key processes and explore futures that could unfold. Recently, she has been comparing scale effects in agricultural systems from field to watershed.

Jaehyeong is a hydrology researcher interested in understanding the effects of climate variability and human activities on hydrological processes. Currently, he is studying the effects of climate change and governance on sociohydrological interactions using a sociohydrological model. Wherever he travels, he seeks out bodies of water to feel connected to the Earth's flow.

Yeseul studies how droughts and other climate events affect water environments. She uses data on flow, water quality, and aquatic life to understand how these systems change under extreme weather. Her current work focuses on building a simple framework for analyzing the interactions between climate events and water systems. Outside research, she enjoys exploring local cafes and finding quiet places to rest.

Seokjun is a robotics researcher interested in building mobile sensing platforms that explore and monitor complex environments. His work focuses on integrating AI, robotics, and environmental sensing to create autonomous systems capable of collecting and analyzing real-world data. Recently, he has been developing a quadruped robot–based monitoring platform that navigates industrial and natural environments while measuring variables such as gas concentration, temperature, and humidity. His research combines robotic mobility, sensor fusion, and machine learning to transform robots into intelligent data collection agents. By leveraging platforms such as the quadruped robot Unitree Go2, he aims to build scalable monitoring systems that can operate in places where fixed sensors or human access are limited. Wherever he works, he enjoys turning robots into moving scientific instruments that map invisible patterns in the physical world.