Resiter
Ph.D.(2015), KAIST
B.S.(2009), Sungkyunkwan University
2021-2024, Associate Professor, University of Ulsan
2016-2021, Assistant Professor, University of Ulsan
2015-2016, Postdoctoral Researcher, KAIST
Nanostructured catalysts
Electro(photo)chemical hydrogen production
Polymer electrolyte membrane fuel cell
Electrocatalysis for energy products
Surface engineering of nanostructured catalysts via atomic structure and composition control
In-situ Analysis
ACS Catal. 2024, 14, 3756-3765.
ACS Nano 2023, 17, 18641–18651.
Nano Lett. 2022, 22, 9115–9121.
Angew. Chem. Int. Ed. 2022, 61, e202202923.
Nano Lett. 2020. 20, 6263–6271.
(2015) BS., Electrical Engineering, Korea University
(2017) MS., Electrical Engineering, KAIST
(2023) Ph.D., Electrical Engineering, KAIST
(2023-2024) Postdoc Researcher, Michigan State University
(2024-Current) Assistant Professor, Energy AI, KENTECH
Machine learning / Artificial Intelligence: Robust and Trustworthy AI, Foundation Models (NLP, Multi-modal models)
Robust/Trustworthy AI: (1) Noisy labels, (2) mitigating bias
Foundation Models: (1) Multi-modal Models, (2) LLMs
AI Applications
Sumyeong Ahn et al., "CUDA: Curriculum of Data Augmentation for Long-tailed Recognition", International Conference of Learning Recognitions (ICLR), 2023, Spotlight paper
Sumyeong Ahn et al., "Mitigating Dataset Bias by Using Per-sample Gradient", International Conference of Learning Recognitions (ICLR), 2023
Sumyeong Ahn et al., "Denoising After Entropy-Based Debiasing: A Robust Trainign Method for Dataset Bias with Noisy Labels", Annual AAAI Conference on Artificial Intelligence (AAAI), 2023, Oral presentation paper
Sumyeong Ahn et al., "Fine-tuning Pre-trained Models for Robustness Under Noisy Labels", International Joint Conference on Artificial Intelligence (IJCAI), 2024
Key performances
Design and develop network analytics systems that can capture, visually represent, and compare “knowledge structure” in learners’ multi-modal data in their learning process (e.g., speaking, writing, reading) as network graphs to visualize and assess individual learners’ learning trajectories, thereby supporting the design of instructional strategies that target individual learning problems in deriving better outcomes, including
Ph.D. in Electrical Engineering (Power System Economics), Seoul National University, 2018.2
B.S. in Electrical Engineering, Seoul National University, 2012.2
Associate Professor, Grid Modernization Track, KENTECH, 2024 - present
Associate Professor, Chungnam National University, 2022 - 2024
Assistant Professor, Chungnam National University, 2018 - 2022
Commission Member, Presidential Commission on Carbon Neutrality and Green Growth, May. 2021 - present
Advisory Member, Special Committee for Climate Crisis in National Assembly, Jul. 2023 - May. 2024
Member, Central Environmental Policy Committee, Aug. 2022 - Apr. 2024
Member, Hydrogen Economy Council under Prime Minister’s Office, Jul. 2020 - Oct. 2022
Board Director, Korea Energy Agency, Nov. 2020 - Oct. 2022
Expert Member, National Council on Climate Change and Fine Dust, Nov. 2019 - Apr. 2021
Climate and Energy Policy
Public Policy Engineering for Energy Industry
Power System Planning and Operation
Electricity Market Design and Analysis
Utility and Netwotk Economics
AI-supported Decision-Making
Climate-Economy Integrated Assessment Model
Optimal Scenario Outlook
Infrastructure Stress-test under Extreme Weather
Generation-Transmission-Storage Expansion Planning
Rule Design for New Business Model (V2G, DR, VPP)
Revenue Analysis and Optimal Bidding Strategy
TSO-DSO Cooperation
Project Feasibility Assessment
Reliability Criteria Design
Online Grid Reconfiguration
Physics-informed Learning based Market Bidding
C. M. Jeong, H. S. Moon, S. W. Kim, “Probabilistic Prequalification Scheme of a Distribution System Operator for Supporting Market Participation of Multiple Distributed Energy Resource Aggregators”, IEEE Transactions on Energy Markets, Policy, and Regulation, 2024.
H. S. Moon, Y. H. Song, J. W. Lee, S. Hong, E. Kim, S. W. Kim, “Implementation cost of net zero electricity system: Analysis based on Korean national target”, Energy Policy, 2024.
E. J. Choi, J. W. Lee, D. Kim, G. -S. Seo, S. W. Kim, “Quantifying Benefit of Well-Located Distributed Energy Resources”, IEEE Transactions on Energy Markets, Policy, and Regulation, 2024.
J. W. Lee, E. J. Choi, M. J. Jeong, R. C. Moragriega, P. G. Zaragoza, S. W. Kim, “Optimal Sourcing Strategy for Enterprises to Achieve 100% Renewable Energy”, Energy Reports, 2022.
H. S. Moon, Y. G. Jin, Y. T. Yoon, S. W. Kim, “Prequalification Scheme of a Distribution System Operator for Supporting Wholesale Market Participation of a Distributed Energy Resource Aggregator”, IEEE Access, 2021.
S. H. Oh, Y. T. Yoon, S. W. Kim, “Online reconfiguration scheme of self-sufficient distribution network based on a reinforcement learning approach”, Applied Energy, 2020.
Y. H. Song, H. J. Kim, S. W. Kim, Y. G. Jin, Y. T. Yoon, “How to find a reasonable energy transition strategy in Korea?: Quantitative analysis based on power market simulation”, Energy Policy, 2018.
Distinguished Service Commendation for DER Proliferation, Ministry of Trade, Industry, and Energy (MOTIE), Korea, Dec. 2022
Academic Award, Korea Institute of Electrical Engineers, Dec. 2023
Academic Award, Korea Institute of Electrical Engineers, Dec. 2022
(2019) Ph.D. in Electrical and Computer Engineering, Seoul National University
(2013) B.S. in Electrical and Computer Engineering, Seoul National University
(2024 ~) Assistant professor, KENTECH
(2024 ~ 2024) Assistant professor, KERI school, University of Science and Technology (UST)
(2020 ~ 2024) Senior researcher, Korea Electrotechnology Research Institute (KERI)
(2019 ~ 2020) Postdoctoral researcher, Seoul National University
DC Power Systems
Hybrid AC/DC Microgrids
Inverter-Dominated Power System
Power System Stability
Development of a steady-state and dynamic analysis model for hybrid AC/DC power grids
Analysis and optimal operation techniques for bipolar DC power grids with distributed resources
Robust operation methodologies considering load and renewable energy uncertainties
Determination of optimal operating regions for grid-forming inverters to maintain power grid stability
J.-O. Lee, Y.-S. Kim, and J.-H. Jeon, “Robust Optimization Method for Voltage Balancer Planning in Bipolar DC Distribution Systems” IEEE Transactions on Power Systems, Sep. 2024.
J.-O. Lee, Y.-S. Kim, and J.-H. Jeon, “Optimal Power Flow for Bipolar DC Microgrids” International Journal of Electrical Power & Energy System, Nov. 2022.
J.-O. Lee, Y.-S. Kim, and J.-H. Jeon, “Generic Power Flow Algorithm for Bipolar DC Microgrids based on Newton-Raphson Method” International Journal of Electrical Power & Energy System, Nov. 2022.
J.-O. Lee and Y.-S. Kim, “Novel Battery Degradation Cost Formulation for Optimal Scheduling of Battery Energy Storage Systems” International Journal of Electrical Power & Energy System, May. 2022.
J.-O. Lee, Y.-S. Kim, and S.-I. Moon, “Current Injection Power Flow Analysis and Optimal Generation Dispatch for Bipolar DC Microgrids” IEEE Transaction on Smart Grid, May. 2021.
J.-O. Lee, Y.-S. Kim, and S.-I. Moon, “Novel Supervisory Control Method for Islanded Droop-Based AC/DC Microgrids” IEEE Transactions on Power Systems, May 2019.
J.-O. Lee, Y.-S. Kim, E.-S. Kim, and S.-I. Moon, “Generation Adjustment Method Based on Bus-Dependent Participation Factor” IEEE Transactions on Power Systems, Mar. 2018.
Top Prize, Personal Research (KERI) 2022, 2023
Top Prize, Research Project Team (KERI) 2022, 2023
Presidential Science Scholarship (KOSAF), 2009-2012