Hyeonmin Lee – Environmental Engineering – Best Researcher Award

Hyeonmin Lee - Environmental Engineering - Best Researcher Award

Seoul National University - South Korea

AUTHOR PROFILE

Scopus
ORCID

EARLY ACADEMIC PURSUITS:

Hyeonmin Lee commenced his academic journey with a strong focus on Civil and Environmental Engineering. His dedication to the field is evident from his current affiliation with the Water Quality and Environmental Lab at Seoul National University.

PROFESSIONAL ENDEAVORS:

Lee's academic trajectory includes a Bachelor of Science (B.S.) in Civil and Environmental Engineering from Seoul National University, where he laid the groundwork for his future contributions. Building upon this, he pursued a Master's in Civil and Environmental Engineering, further specializing in numerical modeling of soil systems and data-driven approaches under the guidance of Advisor Yongju Choi.

CONTRIBUTIONS AND RESEARCH FOCUS:

Hyeonmin Lee's research concentrates on the numerical modeling of soil systems and employs data-driven approaches such as machine learning. His Master's thesis revolves around the machine learning-based prediction of the apparent adsorption capacity of sediment-amended activated carbon for hydrophobic organic contaminants.

IMPACT AND INFLUENCE:

Lee's impact is evident through his research publications, with a focus on topics such as thermal treatment of petroleum-contaminated marine sediment and the in-situ stabilization of hydrophobic organic contaminants. His work demonstrates a commitment to addressing environmental challenges and finding innovative solutions.

ACADEMIC CITES:

While specific citation metrics are not provided, Lee's impactful research is reflected in the acceptance of his work in reputable journals and conferences. His studies on machine learning applications and environmental remediation contribute to the academic discourse.

LEGACY AND FUTURE CONTRIBUTIONS:

Hyeonmin Lee's legacy lies in his dedication to advancing environmental engineering through cutting-edge research. His focus on machine learning applications in environmental prediction and remediation positions him as a forward-thinker in the field. Future contributions are anticipated to further enrich our understanding of environmental processes and enhance remediation strategies.

NOTABLE PUBLICATION

Thermal treatment of petroleum-contaminated marine sediment according to oxygen availability and temperature.  2023