Personal profile
Education
Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute, 2023
M.S. in System Design and Control, Ulsan National Institute of Science and Technology, 2019
B.S. in Mechanical Engineering, Ulsan National Institute of Science and Technology, 2017
Professional Experience
Assistant Professor, Department of Manufacturing Systems and Design Engineering, Seoul National University of Science and Technology, 2026.03 ~
Post-doctoral researcher, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 2023.10~2026.02
Graduate Research Assistant, Department of Mechanical Engineering, Rensselaer Polytechnic Institute, 2019.08~2023.08
Research Interests
Physics-guided machine learning and scientific AI for fluid dynamics, acoustic scattering, materials design, and manufacturing processes.
Smart manufacturing and digital-twin-based decision-making for advanced manufacturing systems, including additive manufacturing and autonomous manufacturing platforms.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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A geometry-adaptive physics-informed operator framework generalized for arbitrary geometries
Lee, J., Won, C., Lee, A., Park, B., Lee, S. & Lee, S., 15 Jun 2026, In: Engineering Applications of Artificial Intelligence. 174, 114457.Research output: Contribution to journal › Article › peer-review
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MicGraphNet: Microphone graph network for cross-correlation-based time delay estimation for accurate sound source localization
Jeong, I., Huh, H., Park, B., Lee, A., Jung, I. J. & Lee, S., 30 Jan 2026, In: Measurement: Journal of the International Measurement Confederation. 258, 119552.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
STAR-APTV: Deep learning-enabled 3D flow reconstruction in evaporating multicomponent droplets
Park, B., Mauch, J., Kweon, H., Kriegseis, J., Lee, S. & Kim, H., 24 Mar 2026, In: Measurement: Journal of the International Measurement Confederation. 266, 120368.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Deep learning framework for image enhancement of phased array ultrasonic imaging
Park, K., Park, J. H., Park, B., Lee, H. J., Lee, S., Jeong, I., Lee, A., Park, C. S. & Lee, S., Sep 2025, In: Results in Engineering. 27, 106929.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Dual-Port Conditional Invertible Neural Network for Sound Intensity Compensation in Sound Source Localization
Jeong, I., Park, B., Park, K., Lee, A., Jung, I. J. & Lee, S., 2025, In: IEEE Transactions on Instrumentation and Measurement. 74, 2512312.Research output: Contribution to journal › Article › peer-review
2 Scopus citations