- B.E. in Software Convergence, Kyung Hee University (2017.03-2024.02)
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ETRI - Research Intern (2023.01-2023.02)
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IITP K-SW Sqaure Program - Purdue University Visiting Scholar (2022.09-2022.12)
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FURIOSA AI Hackathon, 2nd (2023.11)
Development of a skin diagnostic application service using an NPU based vision model -
Marine Fisheries Big Data Analysis Competition, 3rd (2021.08)
Maritime Logistics Freight Rate Prediction using LSTM model
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Kim, M., Lee, W. H. (2024, Jun). Generality Evaluation of Meta-Matching Models for Cognitive Function Prediction with Small Datasets. In Human Brain Mapping Annual Conference.
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Kim, M., Lee, W. H. (2023, Dec). A Meta-Learning Framework to Predict Fluid Intelligence from Resting-State Functional Connectivity. In KSC 2023.
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Jo, H., Lee, J., Park, H. W., Kim, M., Kim, Y., & Lee, W. H. (2023, Oct). Developing an Integrated Dashboard to Analyze Multimodal Data for User Experience Evaluation. In 2023 IEEE ICCE-Asia.
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Kim, M., Jeong, H., Moon, J., Na, D., Choi, W., Lee, S., OβSullivan, E., & Smith, A. (2023, Oct). Outdoor Long Range Ubiquitous Projectiles Tracking System Using P-MPLR and Computer Vision. In 2023 14th ICTC.
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