Department of Electrical and Computer Engineering
Education
B.S., Biosystems Engineering, Seoul National University, 2025
B.S., System Semiconductor Engineering for AI, Seoul National University, 2025
Research Interests
My primary research interest lies in the development of biosensing platforms for diagnosis and assay. Specifically, I focus on creating miniaturized devices for point-of-care applications by actively utilizing microfluidics and microsystems technology. In parallel, I am also engaged in biological data analysis using artificial intelligence to enhance the performance and applicability of these platforms.
Publications
1. 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.
2. Son, D., Lee, S., Jeon, S., Kim, J. J., & Chung, S. (2025). Classifying storage temperature for mandarin (Citrus reticulata L.) using bioimpedance and diameter measurements with machine learning. Sensors, 25(8), 2627.
3. Lee, S., Park, C., Bae, J., Son, D., & Chung, S. (2025). Classification of Honey Types via Flow Profile Analysis on μPAD Combined with Physicochemical Characterization of Honey–Chitosan Mixtures (Under Review)