Resiter
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
▪(1993) B.S. in Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea
▪(1995) M.S. in Mechanical Engineering, Seoul National University, Seoul, Korea
▪(1999) Ph.D. in Mechanical Engineering, Seoul National University, Seoul, Korea
▪(2015.11-present) Associated Professor in Mechanical Engineering , King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
▪(2011.1-2015.10) Principal Research Scientist in Clean Combustion Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
▪(2010.2-2011.1) Director, Department of Technology Management and Marketing, Korea Institute of Machinery & Materials (KIMM), Daejeon, Korea
▪(2004.4-2005.3) Visiting Scholar, University of Southern California, Los Angeles, CA, USA
▪(2000.3-2011.1) Senior and Principal Researcher, Korea Institute of Machinery & Materials (KIMM), Daejeon, Korea
Reactive low temperature plasmas, Combustion of carbon free fuels, Plasma chemistry for energy and environment, Plasma sources development, H₂ synthesis and utilization, NH3 cracking
Plasma chemical kinetic study
• CH4 reforming and NH3 cracking to produce H2
• Temperature controlled DBD reactor
• 0D kinetic simulation platform (KAUSTKin)
Plasma-based H2 production
• Microwave plasma for NH3 cracking
• In-liquid plasma for fuel reforming
• Microdischarges for methane conversion
Advanced combustion research
• Flames with carbon-neutral fuels
• Advanced plasma ignition system for ultra-lean burn
• Electrically assisted flames
• M.S. Cha and R. Snoeckx, (Perspective) “Plasma Technology–Preparing for the Electrified Future”, Frontiers in Mech. Eng. 8:903379 (2022)
• X. Zhang, M.S. Cha, “Optimizing ammonia cracking in microwave argon plasma: Temperature control and ammonia delivery”, Chem. Eng. J., 496:154289 (2024).
• S. Bang, R. Snoeckx, M.S. Cha, “Kinetic study for plasma assisted cracking of NH3: approaches and challenges”, J. Phys. Chem. A, 127:1271–1282 (2023).
• J. Son, M.S. Cha, “Rigorous numerical model for flames under external electric fields: Mobility and electron attachment based on nonequilibrium electron temperature”, Combust. Flame, 273:113961(2025).
• J. Park and M.S. Cha, “Physical insights into plasma-assisted methane reforming: microdischarge dynamics and diluent effects”, J. Phys. D: Appl. Phys., 58:105207 (2025)
• Fellow of the Combustion Institute, Combustion Institute, 2023
• Best Paper Award, Korean Society of Combustion, 2008
• Ji Seok-Young Award, Korea Intellectual Property Office, 2007
• Young Investigators Award, Asian Pacific Conference on Combustion, 2001
(2006) PhD, Computer Science, University of Ottawa
(1997) Master, Computer Science and Engineering, POSTECH
(Pohang University of Science and Technology)
(1994) March 1989 – August 1994: Bachelor, Forestry Resource Science (Computer Science as the Minor) , Korea University
(2024 ~ Present) Colligate Professor, KENTECH
(2024): President, Alpha AI Research
(2024): President, Alpha AI Publication
(2019~2024): President, Alpha Lab AI
(2016~2019: Faculty Member, School of Game, Hongik University
(2008~2016): Faculty Member, Department of Computer and Information Engineering, Inha University
(2007~2008) Senior Research Scientist in IT Convergence Institute in KAIST (Korea Advanced Institute of Science and Technology)
(2006~2007) Post Doctoral Fellow in Division of Electronic and Information Engineering at Chonbuk National University
(2004~2006) Internship in Nstein Technologies through the Scholarship IPS (Industrial Postgraduate Scholarship 2)
(2000~2001) Researcher in KISTI (Korea Institute of Science and Technology Information)
(1999~2000) Researcher in ETRI (Electronic and Telecommunication Research Institute)
(1997~1997) Researcher in Information Technology R&D Center, Samsung
Machine Learning, Deep Learning, Text Mining
Taeho Jo, “Text Mining: Concepts and Big Data Challenge 2nd Edition”, Springer, 2025.
Taeho Jo, “Graph Similarity Metric for Modifying K Nearest Neighbor for Classifying Texts”, pp165-176, Universal Journal of Alpha Artificial Intelligence, Vol 1, No 1, 2024.
Taeho Jo, “Graph based Version of AHC Algorithm for Document Clustering”, pp189-198, Universal Journal of Alpha Artificial Intelligence, Vol 1, No 1, 2024.
Taeho Jo, “Modifying K Nearest Neighbor for Content based Word Classification by Graph Similarity Metric”, pp23-32, Universal Journal of Alpha Artificial Intelligence, Vol 1, No 1, 2024.
Taeho Jo, “Clustering Words Semantically by Graph based Version of AHC Algorithm”, pp66-76, Universal Journal of Alpha Artificial Intelligence, Vol 1, No 1, 2024.
Taeho Jo, “Deep Learning Foundation”, Springer, 2023.
Taeho Jo, “Machine Learning Foundation”, Springer, 2021.
Taeho Jo, “Semantic String Operation for Specializing AHC Algorithm for Text Clustering”, pp1083-1100, Annals of Mathematics and Artificial Intelligence, Vol 88, No 10, 2020.
Taeho Jo, “Clustering Texts using Feature Similarity based AHC Algorithm”, pp 5993-6003, Journal of Intelligent and Fuzzy Systems, Vol 35, No 6, 2018.
Taeho Jo, “Automatic Text Summarization using String Vector based K Nearest Neighbor”, pp 6005-6016, Journal of Intelligent and Fuzzy Systems, Vol 35, No 6, 2018.
Awarded in 35th Marquis Who’s Who in the World, 2019
Award Certificate for Outstanding Research, Asia Pacific Society for Computing and Information Technology, 2018
Best Paper Award, International Conference on Advanced Engineering and ICT-Convergence, ICT-Advanced Engineering Society, 2018
Outstanding Achievement Award, The 2018 World Congress in Computer Science, Computer Engineering, and Applied Computing, 2018.
Awarded in 35th Marquis Who’s Who in the World, 2018
Outstanding Achievement Award, The 2017 World Congress in Computer Science, Computer Engineering, and Applied Computing, 2017.
Outstanding Paper Award, International Conference on Advanced Communication Technology 2017.
Best Paper Award, Korean Multi Media Society, 2016
Awarded in 33rd Marquis Who’s Who in the World, 2016.
▪ (2012) Ph.D. in Department of Information and Communications Engineering, Korea Advanced Institute of Science and Technology (KAIST)
▪ (2006) M.S. in Department of Information and Communications Engineering, Korea Advanced Institute of Science and Technology (KAIST)
▪ (2000) B.S. in Department of Electrical Engineering, Korea University
▪(2025-present) Associate Professor, Korea Institute of Energy Technology (KENTECH)
▪(2024-2025) Professor, Department of Information and Communication Engineering, Chosun University
▪(2021-2024) Associate Professor, Department of Information and Communication Engineering, Chosun University
▪(2016-2021) Assistant Professor, Department of Information and Communication Engineering, Chosun University
▪(2015-2016) Principal Research Engineer, Advanced Standard Research Lab under CTO., LG Electronics
▪(2014-2015) Research Professor, KAIST
▪(2012-2013) Post-doctoral Scholar, University of California, San Diego (UCSD)
▪(2012-2012) Post-doctoral Researcher, Information & Electronics Research Institute, KAIST
▪(2000-2003) Engineer in Kisan Telecom, Seoul, Korea
Image and Video Processing, Computer Vision, Medical Imaging and Aanlysis, Artificial Intelligence for Energy
My Research interest lies in advancing artificial inteligence techniques for image and video understanding, with applications in medical imaging, energy forecasting, and visual signal processing. Research topics include:
Medical Imaging and Diagnosis
▪Orthopedic imaging for osteoporosis assessment, fracture classification, and treatment monitoring
▪Dental Imaging for automated teeth segmentation, disease detection, and 3D structure reconstruction
▪Skin disease diagnosis using clinical photographs and dermoscopic images with deep learning Multimodel analysis for osteoporosis diagnosis integrating X-rays,m CT scans, and electronic medical Records
Computer Vision for Image and Video Processing
▪Classical video restoration (deoldifying) and enhancement
▪Image compression, denoising, inpainting, and super-resolution
▪Transformer and diffusion models for image reconstruction
Large Language Models for Energy System
▪Natural language reporting of energy demand and anomaly detection results
▪Integration of LLMs with deep forecasting models for smart grid applications
▪Aradhana Mishra and Bumshik Lee*, "Pixel Boost: Leveraging Brownian Motion for Realistic Image Super-Resolution", IEEE Transactions on Multimedia, 2025
▪Guoqing Chao, Jingnan Qi, Jingxuan Li, Bumshik Lee and Dianhui Chu, "Incomplete Multi-View Classification via Graph Neural Network on Heterogeneous Graph", Information Fusion, vol. 121, Sep. 2025
▪Arshiana Shamir, Nokap Park and Bumshik Lee*, "BOLD-NET: Brightness Enhancement for Old Images using Deep Curve Estimation and Attention Modules", Engineering Applications of Artificial Intelligence, 126 (2023), Nov. 2023
▪Chaitra Dayananda, Nagaraj Yamanakkanavar, Truong Nguyen and Bumshik Lee*, "AMCC-Net: An Asymmetric Multi-cross Convolution for Skin Lesion Segmentation on Dermoscopic Images", Engineering Applications of Artificial Intelligence, 122 (2023), Jun. 2023.
▪(2025) Excellent Paper Award. "Accurate 3D Teeth Segmentation via Skeleton and Centroid Guidance in CBCT Imaging", ICAIIC 2025
▪(2025) Best Session Presentation Award, 2025 International Conference on Consumer Electronics
▪(2024) 대상, 2024 K-Health 의료인공지능 해커톤대회 (First Place in Hackathon Competition of Mammography-Based Breast Cancer Microcalcification Region Segmentation)
▪(2024) Best Paper Award, “Low complexity computation algorithm for DCT-5”, KICS 2017Best Paper Award, “ResNet-50와 U-Net을 이용한 다중클래스 치과 영상 분할”, 2024 한국스마트미디어학회 추계학술대회
▪(2024) Best Poster Award, “무릎 골다공증 감지를 위한 하이브리드 딥러닝 모델”, 제34회 인공지능신호처리학술대회 2024
▪(2024) Best Paper Award, “SVSR: Stochastic variability in Diffusion Model for Image Super Resolution”, Korean Institute of Intelligence Systems Spring Conference 2024
▪(2022) Best Paper Award, “A patch-wise M-Net with attention for skin lesion segmentation”, Korean Institute of Intelligence Systems Autumn Conference 2022
▪(2021) Baek-Ak Research Award in Chosun University, presented to the faculty member who demonstrates outstanding research excellence within the institution, 2021
▪(2021) Best Paper Award, “Lightweight double attention-based U-SegNet structure for brain image segmentation”, Korean Institute of Intelligence Systems Autumn Conference 2021
▪(2021) Best Paper Award, “Brain image segmentation method using attention-based M-SegNet architecture in brain MRI images”, Korean Institute of Intelligence Systems Autumn Conference 2021
▪(2021) Best Paper Award, “A transform kernel derivation for Versatile Video Coding (VVC)”, The 5-th International Conference on Next Generation Computing 2019
(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
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
(2000) M.A. in Education, Princeton
(1996) B.A. in Developmental Psychology, University of Washington
(2021-2024) Vice Principal, Preparatory School of Suji, Suji, South Korea
(2022~) Certified Cooperative Learning Trainer, Kagan Professional Development, USA
(2018-2020) Assistant Professor, Woosong University, Daejeon, South Korea
(2016-2017) Lecturer, Catholic University of Pusan, Busan, South Korea
(2015-2017) Assistant Professor, Kosin University, Busan, South Korea
(2007-2010) Teacher/Coach, Mount Pisgah School, Atlanta, Georgia, USA
(2017) Highest Rated Lecturer - Catholic University of Pusan
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.
(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