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C&E AI Lab member

Principal Investigator

Yongeun Park, Ph.D.
​박용은, 朴庸殷

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Phone: +82-2-2049-6106

Email: yepark@konkuk.ac.kr

Office: Room 387-2, Engineering Building C

I am currently an Associate Professor in the Department of Civil and Environmental Engineering at Konkuk University, where I have been actively engaged in research and education since 2018. My academic background includes a Ph.D. in Environmental Science and Engineering from the Gwangju Institute of Science and Technology (GIST), earned in 2014. I have since built my career through positions as a Postdoctoral Researcher at the USDA Agricultural Research Service (2014–2016) ​​and Research Professor at UNIST (2016–2018).

My primary research interests lie in water quality monitoring, algal bloom detection, and environmental modeling. Traditional microscopy methods for identifying freshwater algal cells, while accurate, are time-consuming and labor-intensive. To address these challenges, I am exploring deep learning-based approaches for automatic algal cell identification. My work also involves integrating remote sensing technologies—from satellites, UAVs, and airborne sensors—to monitor harmful algal blooms over large spatial scales with high temporal resolution.

In addition, I focus on enhancing existing hydrological and water quality models such as SWAT, HSPF, and EFDC. While these models are often used as packages, I aim to improve their performance by inserting new pollutant fate and transport algorithms or modifying internal logic to better reflect environmental complexities.

As an educator and researcher, I am committed to developing practical solutions to environmental issues while fostering critical thinking and scientific curiosity in my students. I look forward to advancing sustainable practices in environmental engineering through interdisciplinary research and innovation.

Education

PhD, Gwangju Institute of Science and Technology, School of Environmental Science and Engineering (2014)

 

MSE, Gwangju Institute of Science and Technology, School of Environmental Science and Engineering (2009)

BSE, Kyungpook National University, Department of Environmental Engineering (2007)

 

Graduate Researcher

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Hankyu Lee (이한규)

Academic CVhttps://www.researchgate.net/profile/Hankyu-Lee-5

Degree of Course: Ph.D. course

Email: haeckel@konkuk.ac.kr

Office: Room 703, New Engineering Building

Research Interest: Object detection using a deep learning

                                algorithm (Mask RCNN)

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Jeongwon Lee (이정원)

Degree of Course: Ph.D. Candidate

Email: jinny6336@naver.com

Office: Room 703, New Engineering Building

Research Interest: Machine learning application
                                 to adsorption processes 

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Minji Kim (김민지)

Degree of Course: M.S. course

Email: kimminji0515@naver.com

Office: Room 703, New Engineering Building

Research Interest:  Machine learning/deep learning

Undergraduate Researcher

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Seohyeon Byeon (변서현)

Degree of Course: M.S. in KU

Current position: Researcher in Korea Environment Institute

Email: shbyeon1@gmail.com

Research Interest:  Deep learning application to predict water quality

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Jin Hwi Kim (김진휘), Ph.D. Research Prof.

Academic CV: https://www.researchgate.net/profile/Jin-Kim-156

Current position: Research Prof. in Korea University

Email: jinhwi25@naver.com

Research Interest: Bacteria/virus modeling in a watershed 

                                      Remote sensing of water quality

                                      Machine learning and deep learning modeling

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​Hye Seong Oh (오혜성), undergraduate researcher

Degree of Course: BS in KU

Email: ohs6825@konkuk.ac.kr

Research Interest: Deep learning application to socio-environmental data

​Kang Dong Park (박강동 ), undergraduate researcher

Degree of Course: BS in KU

Current position: 한국전력기술 (KEPCO Engineering & Construction Company)

Research Interest: Real-time detection of pavement status using YOLO

채주영, undergraduate researcher

Degree of Course: BS in KU

Research Interest: 

Yong sung Kwon (권용성), visiting researcher

Degree: MS in UNIST

Current position: 국립생태원 (Researcher in National Institute of Ecology)

Research Interest: Remote sensing of harmful red tide 

Gungook Choi (최건국), undergraduate researcher

Degree of Course: Undergraduate student in KU

Research Interest: 

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