Download PDF Use your browser's print dialog to save as PDF.

Education

• 2014.03 – 2020.02 Ph.D., Partial Differential Equations — POSTECH Advisor: Hyung Ju Hwang
• 2010.03 – 2014.02 B.S., Mathematics — POSTECH

Appointments

• 2026.03 – present Assistant Professor — Ajou University
• 2024.03 – 2026.02 Assistant Professor — Korea University Sejong
• 2022.02 – 2024.02 Senior Researcher — IBS Biomedical Mathematics Group (BIMAG)
• 2020.08 – 2022.02 Postdoctoral Researcher — Institute for Basic Science, POSTECH
• 2020.04 – 2020.07 Postdoctoral Researcher — Department of Mathematics, POSTECH

Grants & Projects

• 2026.07 – 2031.06 AI + Science & Technology Research GrantNational Research Foundation of Korea
• 2024.04 – 2029.03 NRF Excellent Young Researcher ProgramNational Research Foundation of Korea
• 2021.03 – 2022.02 Blockchain platform development국내 기업
• 2020.11 – 2021.04 AI model for industrial intelligent controllers국내 기업
• 2020.11 – 2021.02 Thickness deviation model for cold rollingPOSCO
• 2020.08 – 2020.10 Mobile device location tracking algorithmELUON
• 2019.07 – 2020.02 Temperature prediction model for hot rollingPOSCO
• 2017.07 – 2018.11 AI algorithms for steelmaking processesPOSCO

Publications

• 2026 Lee, K.W., Jo, H.¹, Lee, S., Cho, T.J.. Predictive Modeling of Disinfectant Efficacy: Integrating Bacterial Inactivation Kinetics with Human Health Risk Assessment. Food Research International.Cited by 0
• 2026 Chae, et al.. A Machine Learning-based Screening Tool for classifying Post-traumatic Stress Disorder in Firefighters. BMC Psychiatry.Cited by 0
• 2026 Cho, C., Cho, S.W., Jo, H.*, Hwang, H.J.. Estimation of System Parameters Including Repeated Cross-Sectional Data: Emulator-Informed Deep-Generative Model. SIAM Journal on Scientific Computing.Cited by 3
• 2026 Hwang, G., Jo, H.*, Kim, J.K.. Data-driven inference of coupling functions in oscillatory systems via physics-informed neural networks. Physical Review Research.Cited by 1
• 2026 Ryu, J., Jo, H.¹, Hwang, H.J.. Attention with Quantum Fourier Transform for Operator Learning in Dynamical Systems. Physica Scripta.Cited by 0
• 2026 Jo, H.¹, Joisc, K., Kim, J.K.. Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals. SIAM Journal on Applied Mathematics.Cited by 5
• 2026 Cho, H., Jo, H.*, Hwang, H.J.. Learning from Imperfect Data: Robust Inference of Dynamic Systems using Simulation-based Generative Model. AAAI 2026.Cited by 1
• 2025 Lee, E.S., Jo, H.¹, Hwang, H.J.. Reverse Engineering for Programmable Logic Controller Structure Estimation via White Box Networks. Journal of Intelligent Manufacturing.Cited by 4
• 2025 Cawiding, O.R., Jo, H.¹, Jeon, S., Ardi, F.R., Kim, J.K., Chung, S.. Cancer-related Dysfunctional Beliefs and Attitude about Sleep-6 (C-DBAS-6): A practical and accurate shortened version using XGBoost and SymScore. Sleep and Biological Rhythms.Cited by 5
• 2025 Lee, S., Cawiding, O.R., Jo, H., Kim, J.K., Joo, E.Y.. 1332 Evaluating Patient Characteristics Influencing the Predictive Accuracy of Sleep Disorder Questionnaires. Sleep.Cited by 0
• 2025 Cawiding, O.R., Lee, S., Jo, H., Kim, S., Suh, S., Joo, E.Y., Chung, S., Kim, J.K.. SymScore: Machine Learning Accuracy Meets Transparency in a Symbolic Regression-Based Clinical Score Generator. Computers in Biology and Medicine.Cited by 13
• 2024 Jo, H.¹, Cho, S.W., Hwang, H.J.. Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data. PLOS Computational Biology.Cited by 3
• 2024 Jo, H.¹, Jeon, H.J., Ahn, J., Jeon, S., Kim, J.K., Chung, S.. Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven Shortened Version from a Machine Learning Approach. Sleep Medicine.Cited by 20
• 2024 Jo, H.¹, Lim, M., Jeon, H.J., Ahn, J., Jeon, S., Kim, J.K., Chung, S.. Data-driven Shortened Insomnia Severity Index (ISI): A Machine Learning Approach. Sleep and Breathing.Cited by 14
• 2024 Jo, H.¹, Hong, H., Hwang, H.J., Chang, W., Kim, J.K.. Density Physics-Informed Neural Network identifies sources of cell heterogeneity in signal transduction under antibiotic stress. Cell Patterns.Cited by 30
• 2022 Park, M.S., Jo, H.¹, Lee, H., Jung, S.Y., Hwang, H.J.. Machine Learning-Based COVID-19 Patients Triage Algorithm using Patient-Generated Health Data from Nationwide Multicenter Database. Infectious Diseases and Therapy.Cited by 25
• 2021 Hwang, H.J., Jung, S., Park, M.S., Jo, H.. Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning. None.Cited by 0
• 2020 Jung, S.Y., Jo, H.¹, Son, H., Hwang, H.J.. Real-World Implications of Rapidly Responsive COVID-19 Spread Model with Time Dependent Parameters Via Deep Learning: Algorithm Development and Validation. Journal of Medical Internet Research.Cited by 89
• 2020 Hwang, R., Jo, H., Kim, K.S., Hwang, H.J.. The Hybrid Model of a Mathematical Model and Neural Network Model for Rolling Force and Temperature Prediction in Hot Rolling Processes. IEEE Access.Cited by 73
• 2020 Hwang, H.J., Jang, J.W., Jo, H.¹, Lee, J.Y.. Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach. Journal of Computational Physics.Cited by 46
• 2020 Jung, J., Yoon, J.I., Park, H.K., Jo, H., Kim, H.S.. Microstructure design using machine learning generated low dimensional and continuous design space. Materialia.Cited by 68
• 2020 Jo, H.¹, Son, H.¹, Hwang, H.J., Kim, E.. Deep Neural Network Approach to Forward-Inverse Problems. Networks and Heterogeneous Media.Cited by 48
• 2019 Hwang, H.J., Jo, H.¹. The diffusive limit of the Vlasov-Fokker-Planck equation with the chemotactic sensitivity coupled to a parabolic equation. Journal of Mathematical Analysis and Applications.Cited by 0
• 2019 Jo, H.¹, Hwang, H.J., Phan, D., Lee, Y., Jang, H.. Endpoint temperature prediction model for LD converters using machine-learning techniques. 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA).Cited by 26
• None Jo, H.¹, Hwang, S., Phan, D., Hwang, H.J.. Machine Learning Technology applied to Steel Manufacturing Process. None.Cited by 0

Selected Talks

• 2026.07.02 SciCADE 2026Edinburgh, UK
• 2025.10.21–10.25 ReaDiNet 2025Hokkaido, Japan
• 2025.07.27–08.01 SIAM Annual Meeting (AN25)Montreal, Canada
• 2025.04.03–04.05 International Workshop on Computational and Mathematical Methods in Data ScienceBoracay, Philippines
• 2024 SMB 2024 (Society for Mathematical Biology)
• 2023 ICIAM 2023
• 2022 SIAM 2022