Professor Soo Chung
Dept. of Biosystems & Biomaterials Science and Engineering
Seoul National University
Bldg 200 Rm 2217, 599 Gwanak-ro, Gwanaku, Seoul 151-921, Korea
Telephone : +82-2880-4606
Fax : +82-2873-2049
E-mail : soochung@snu.ac.kr
Education
Ph.D. (2016-2019), Department of Agricultural & Biosystems Engineering, The University of Arizona, Tucson, AZ, USA
Dissertation title: Portable Device Based Optical Sensors for Water Related Environmental Monitoring
Ph.D. program (2013-2016), Department of Biosystems & Biomaterials Science and Engineering, Seoul National University
Master of Engineering (2011-2013), Department of Biosystems & Biomaterials Science and Engineering, Seoul National University
Thesis title: Development of a Discriminant System for White Wine Tastes using Dye-bead Conjugation and Image Processing Techniques
Bachelor of Engineering (2005-2011), Metallurgical Engineering, Department of Materials Science & Engineering, Yonsei University
Professional Experiences
Assistant Professor (Department of Biosystems & Biomaterials Science and Engineering, Seoul National University, 2022.03 – )
Post-doctoral Researcher (Quality and Safety Assessment Research Unit, USDA, 2019.12. – 2022.01)
Research Specialist (Department of Biosystems Engineering, University of Arizona, 2019.09 - 2019.12)
Selected Publications
Chung, S., Breshears, L. E., Gonzales, A., Jennings, C. M., Morrison, C. M., Betancourt, W. Q., ... & Yoon, J. Y. (2021). Norovirus detection in water samples at the level of single virus copies per microliter using a smartphone-based fluorescence microscope. Nature Protocols, 16(3), 1452-1475.
Chung, S., Loh, A., Jennings, C. M., Sosnowski, K., Ha, S. Y., Yim, U. H., & Yoon, J. Y. (2023). Capillary flow velocity profile analysis on paper-based microfluidic chips for screening oil types using machine learning. Journal of hazardous materials, 447, 130806.
Son, D., Park, J., Lee, S., Kim, J. J., & Chung, S. (2024). Integrating non-invasive VIS-NIR and bioimpedance spectroscopies for stress classification of sweet basil (Ocimum basilicum L.) with machine learning. Biosensors and Bioelectronics, 263, 116579.
Kim, J. S. G., Moon, S., Park, J., Kim, T., & Chung, S. (2024). Development of a machine vision-based weight prediction system of butterhead lettuce (Lactuca sativa L.) using deep learning models for industrial plant factory. Frontiers in Plant Science, 15, 1365266.
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Lab of Biosensors and Agricultural Electronics (바이오센서 및 농업전자 연구실) @ Seoul National University
1 Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea (08826)
TEL : (+82) 2-880-4606
FAX : (+82) 2-873-2049
Office : Bldg.200 Rm 2217