About Me

Hello. I’m Charmgil Hong.

I am an associate professor in the School of Computer Science and Electrical Engineering and the School of Applied Artificial Intelligence at Handong Global University, Korea. My research interests focus on developing and applying machine learning and data mining techniques to solve large and complex data-driven problems. Before joining Handong, I had the privilege of studying under the guidance of Dr. Milos Hauskrecht and earning my PhD from the University of Pittsburgh.

• Research group: Handong Artificial Intelligence Lab. (HAIL)

Teaching

• ITP40010 Machine Learning
• ECE30030/ITP30010 Database System
• ECE30008 Intro to Artificial Intelligence
• ECE20010/ITP20001 Data Structures
• ITP20004 Open-source Software Labs
• ECE10020 Intro to Engineering Design
• ECE10003 C Programming Labs
• ECE10002 C Programming

Research Interest

Recent years, I have been primarily working on: (1) Multimodal and multi-source machine learning, including time-series, image, video, and text data; (2) Anomaly and outlier detection with a focus on video understanding and large-scale video indexing; and (3) Applications of (1) and (2) to the medical and industrial domains, including clinical decision support and electric vehicle battery analytics.

I am also interested in: (4) AI/ICT for Korean unification studies and data-driven capacity building for developing countries.

Refereed Publications

International venues

• Yujin Kim, Chongmyung Kwon, Seoeun Park, Charmgil Hong. Multimodal Drug Recommendation with Quantum Chemical Molecular Representations. International Conference on Database Systems for Advanced Applications (DASFAA). 2026. (to appear)
• Charmgil Hong, Doohee Chung, Jongyeong Kim, Heewon Jung. Quantum Deepflow: A Quantum-Integrated Forecasting Platform for Strategic Decisions in Raw Material Procurement. ACM International Conference on Information and Knowledge Management (CIKM). 2025. Paper Poster Video 1 Video 2
• Chongmyung Kwon, Yujin Kim, Seoeun Park, Yunji Lee, Charmgil Hong. MMM: Quantum-Chemical Molecular Representation Learning for Combinatorial Drug Recommendation. International Workshop on Predictive Intelligence In Medicine at MICCAI (PRIME-MICCAI). 2025. Paper Slides Code
• Soyeon Park, Heeseo Jeong, Soon Sun Kim, Jae Youn Cheong, Charmgil Hong. Transformer-Based Risk Estimation of HCC in Patients with Chronic Hepatitis B. International Workshop on Predictive Intelligence In Medicine at MICCAI (PRIME-MICCAI). 2025. Paper
• Harim Kim, Yuhan Wang, Minkyu Ahn, Heeyoul Choi, Yuyin Zhou, Charmgil Hong. Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). 2025. Paper Code
• Jihyun Moon, Charmgil Hong. Retrieval-Augmented VLMs for Multimodal Melanoma Diagnosis. International Skin Imaging Collaboration (ISIC) Skin Image Analysis Workshop at MICCAI. 2025. Paper Slides
• Jihyun Moon, Charmgil Hong. Multimodal Clinical Decision Support for Melanoma Diagnosis Using Retrieval-Augmented Generation and Vision-Language Models. IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS). 2025. Paper Slides
• Dong Gun Park, Soyeon Park, Chang Ha Lee, Hyunkyoo Choi, Charmgil Hong. Fine-Grained Video Indexing and Retrieval with Vision-Language Models. IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS). 2025. Paper Slides
• Hannah Hyesun Chun, Chanju Lee, Hyunkyoo Choi, Charmgil Hong. Bridging the Linguistic Divide: Developing a North-South Korean Parallel Corpus for Machine Translation. Pacific Asia Conference on Language, Information, and Computation (PACLIC 38). 2024. Paper Data Slides
• Harim Kim, Chang Ha Lee, Charmgil Hong. Transformer for Point Anomaly Detection. ACM International Conference on Information and Knowledge Management (CIKM). 2024. Paper Slides Code
• Jaemin Jung, Soonyong Park, Harim Kim, Chang Ha Lee, Charmgil Hong. Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review. International Joint Conference on Artificial Intelligence (IJCAI) Demo Track. 2024. Paper Code Video 1 Video 2
• Harim Kim, Minchae Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong. AREST: Attention-Based Red-Light Violation Detection for Safety Technology. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). 2024. Best Paper Award Paper
• Harim Kim, Chang Ha Lee, Charmgil Hong. VATMAN: Video Anomaly Transformer for Monitoring Accidents and Nefariousness. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). 2024. Paper Poster Code
• Geonyeong Choi, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Drug Induced Liver Injury Prediction with Injective Molecular Transformer. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2023. Paper
• Geonyeong Choi, Hyunwoo Yook, Jeong-Woo Han, Charmgil Hong. AWS: GNNs that Aggregate with Self-node Representation for Dehydrogenation Enthalpy Prediction. Asian Conference on Intelligent Information and Database Systems (ACIIDS). 2023. Paper
• Harim Kim, Chang Ha Lee, Charmgil Hong. Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder-Based Support Vector Data Description. Asian Conference on Intelligent Information and Database Systems (ACIIDS). 2023. Paper
• Dongjae Shin, Geonyeong Choi, Charmgil Hong, Jeong Woo Han. Surface Segregation Machine-Learned with Inexpensive Numerical Fingerprint for the Design of Alloy Catalysts. Molecular Catalysis. 2023. Paper
• Kyungmin Lee, Charmgil Hong, Eun-Ho Lee, WooHo Yang. Comparison of artificial intelligence methods for prediction of mechanical properties. IOP Conference Series: Materials Science and Engineering. 2020. Paper
• Gaurav Trivedi, Charmgil Hong, Esmaeel R. Dadashzadeh, Robert M. Handzel, Harry Hochheiser, Shyam Visweswaran. Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. International Journal of Medical Informatics. 2019. Paper
• Charmgil Hong, Milos Hauskrecht. Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data. International Florida Artificial Intelligence Research Society Conference (FLAIRS). 2018. Paper
• Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont. Outlier-based detection of unusual patient-management actions: An ICU study. Journal of Biomedical Informatics. 2016. Paper
• Charmgil Hong, Milos Hauskrecht. Multivariate Conditional Outlier Detection and Its Clinical Application. AAAI Conference on Artificial Intelligence (AAAI) Student Abstract. 2016. Paper
• Charmgil Hong, Milos Hauskrecht. Multivariate Conditional Anomaly Detection and Its Clinical Application. AAAI Conference on Artificial Intelligence (AAAI) Doctoral Consortium. 2015. Paper Slides Poster
• Charmgil Hong, Iyad Batal, Milos Hauskrecht. A Generalized Mixture Framework for Multi-label Classification. SIAM International Conference on Data Mining (SDM). 2015. Paper Slides Poster Code
• Charmgil Hong, Iyad Batal, Milos Hauskrecht. A Mixtures-of-Trees Framework for Multi-Label Classification. ACM International Conference on Information and Knowledge Management (CIKM). 2014. Paper Code
• Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht. An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SIAM International Conference on Data Mining (SDM). 2014. Paper
• Iyad Batal, Charmgil Hong, Milos Hauskrecht. An efficient probabilistic framework for multi-dimensional classification. ACM International Conference on Information and Knowledge Management (CIKM). 2013. Paper Slides Code

Domestic venues

• Heeseo Jeong, Dajeong Lee, Kyujin Cho, Charmgil Hong. Predictive Data Analysis-Based Modeling of Future Electric Vehicle Driving Range. KIPS Transactions on Software and Data Engineering (KTSDE). 2026. Paper

• Heeseo Jeong, Kyujin Cho, Charmgil Hong. Electric Vehicle Range Prediction Based on Transformer and BMS Data. Annual Autumn Conference & Exhibition. Korean Society of Automotive Engineers. 2025. Paper
• Seonghyun Lee, Yunseong Choe, Jaehoon Ryu, Youngsool Moon, Charmgil Hong. A Framework for Automated Patent Claim Amendment in Response to Office Action Rejections Using Retrieval-Augmented Generation. Joint Conference on Human and Cognitive Language Technology, Korean Association for Corpus Linguistics (HCLT-KACL). 2025. Best Presentation Paper Award Paper
• Yunseong Choe, Seonghyun Lee, Sang Ho Lee, Charmgil Hong. Comparative Study of Data Processing Methods for BERT-Based Sentiment Analysis of Corporate News. Joint Conference on Human and Cognitive Language Technology, Korean Association for Corpus Linguistics (HCLT-KACL). 2025. Paper
• Heeseo Jeong, Dajeong Lee, Kyujin Cho, Charmgil Hong. A Large-scale BMS Data-driven Approach to Future Electric Vehicle Driving Range Prediction. Annual Symposium of KIPS (ASK) 2025. Best Paper Award Paper
• Hyewon Jeon, Charmgil Hong. Bayesian Additive Trees for Electric Vehicle Range Prediction and Performance Evaluation. Annual Symposium of KIPS (ASK) 2025. Paper
• Nita Li, Seyha Heng, Lay Seng, Jihyun Moon, Sokkhey Phauk, Charmgil Hong. Development of a Privacy-Focused Khmer Chatbot Based on Retrieval-Augmented Generation. Annual Symposium of KIPS (ASK) 2025. Paper

• Heeseo Jeong, Hakyoung An, Hyewon Jeon, Dajeong Lee, Charmgil Hong. Prediction and Analysis of Geomagnetic Disturbances Using LSTM and Attention Mechanisms. Korea Software Congress (KSC) 2024. Best Student Paper Award Paper
• HyeEun Yeon, Charmgil Hong. Development of a Domain-Specialized Large Language Model for North Korea and Unification: Building a Generative AI Chatbot Using PEFT and RAG Techniques. Korea Software Congress (KSC) 2024. Paper
• Yeongseo Go, Hyemin Shin, Hanyoung Jeong, Taewoo Kim, Kyujin Cho, Charmgil Hong. Predictive Analysis of Electric Vehicle Range Using Real-Driving Data Considering Regenerative Braking. Annual Autumn Conference & Exhibition. Korean Society of Automotive Engineers. 2024. Paper
• Jieun Kang, Kyujin Cho, Charmgil Hong. Application of a Transformer-Based Model for Predicting Electric Vehicle Energy Efficiency Using Real BSM and CAN Data. Annual Autumn Conference & Exhibition. Korean Society of Automotive Engineers. 2024. Paper
• Hannah Hyesun Chun, Chanju Lee, Hyunkyoo Choi, Charmgil Hong. Machine Translation and Analysis of South and North Korean Using a Parallel Corpus. Joint Conference on Human and Cognitive Language Technology, Korean Association for Corpus Linguistics (HCLT-KACL). 2024. Paper
• Harim Kim, Yeseul Kim, Yohan Sohn, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Prediction of Drug-Induced Liver Injuries Using Transformer. KIISE Transactions on Computing Practices (KTCP). 2024. Paper
• Jihyeon Song, Soon Sun Kim, Ji Eun Han, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. Improving Prediction of Chronic Hepatitis B TreatmentResponse Using Molecular Embedding. Journal of KIISE. 2024. Paper
• Geonyeong Choi, Hyunwoo Yook, Jeong-Woo Han, Charmgil Hong. Prediction of Dehydrogenation Enthalpy Using Graph Isomorphism Network. Journal of KIISE. 2024. Paper
• Jihyun Moon, Seong Kyung Kim, Hee Song Kim, Soon Sun Kim, Ji Eun Han, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. Prediction of Drug Adverse Reactions in Chronic Hepatitis B Patients Using FT-Transformer. Korea Computer Congress (KCC). 2024. Paper

• Jae Geun Jang, Ye Jun Kim, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Analysis of 5-Year Hepatocellular Carcinoma Prediction Models for Chronic Hepatitis B Patients. Korea Software Congress (KSC). 2023. Best Student Paper Award Paper
• Chanju Lee, Hyunkyoo Choi, Charmgil Hong. Generation of Parallel Corpus for South and North Korean Languages and Its Application to Neural Machine Translation. Korea Software Congress (KSC). 2023. Paper
• Hanyoung Jeong, Seokjun Kim, Yeongseo Go, Hyemin Shin, Taewoo Kim, Kyujin Cho, Charmgil Hong. Real-World BMS Signal-Based Driving Range Prediction for Electric Vehicles. Korea Software Congress (KSC). 2023. Best Student Paper Award Paper
• Minchae Kim, Seohwee Park, Hyunmuk Kang, Youngkwang Ko, Youngmin Kim, Soeun Shin, Chang Ha Lee, Charmgil Hong. A Benchmark Test of 3-Dimensional Convolutional Neural Networks on Video Action Recognition. Korea Software Congress (KSC). 2023. Paper
• Harim Kim, Yeseul Kim, Yohan Sohn, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Prediction of Drug-Induced Liver Injuries Using Transformer. Korea Software Congress (KSC). 2023. Best Presentation Award Paper
• Jihyeon Song, Soon Sun Kim, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. An Improved Prediction of Antiviral Treatment Response in Chronic Hepatitis B Using Molecular Graph Embeddings. Korea Computer Congress (KCC). 2023. Best Paper Award Paper
• Seokjun Kim, Hanyoung Jeong, Doohee Chung, Charmgil Hong. Demand Forecasting Using SHAP Analysis and Cluster-Based Transfer Learning. Korea Computer Congress (KCC). 2023. Best Student Paper Award Paper

• Dulguun Dorjlkham, Juwon Baek, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Min Seo Shim, Kyoung Jin Lee, Tae Hyun Kim, Chi Yong Ban, Charmgil Hong. Predicting In-Hospital Drug-Induced Liver Injuries Using Long-Short Term Memory. Korea Software Congress (KSC). 2022. Paper
• Jihyoung Jang, Hoyoon Choi, Gun-woo Lee, Myung-seok Choi, Charmgil Hong. An Automated Production System Design for Natural Language Processing Models Using Korean Pre-trained Model. Annual Conference on Human and Cognitive Language Technology (HCLT). 2022. Paper
• Geonyeong Choi, Charmgil Hong. Ensemble of Graph Neural Networks for Predicting Drug Induced Liver Injuries. Korea Computer Congress (KCC). 2022. Paper
• Harim Kim, Charmgil Hong. Outlier Detection-Based Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder. Korea Computer Congress (KCC). 2022.
• Jihyeon Song, Charmgil Hong. Treatment Response Prediction for Hepatitis B Infection Using GRU-D. Korea Computer Congress (KCC). 2022. Paper
• Jihyoung Jang, Charmgil Hong. Automated Topic Classification of the News Articles on North Korea and Korean Unification. Korea Computer Congress (KCC). 2022. Best Student Paper Award Paper

• Hangyel Sun, Myeonghee Lee, Charmgil Hong, Injung Kim. Vehicle Image Data Augmentation by GAN-based Viewpoint Transformation. Journal of KIISE. 2021. Paper
• Hyoyoung Seok, Wanseo Jo, Charmgil Hong. Pancreatic Cancer Risk Prediction Using Bayesian Networks. Korea Computer Congress (KCC). 2021. Best Student Paper Award Paper
• Jongmin Lee, Hyoyoung Seok, Charmgil Hong. Pancreatic Cancer Risk Analysis with Non-linear Cox Proportional Hazard Models. Korea Computer Congress (KCC). 2021. Paper
• Junhyung Kim, Byungyoon Park, Charmgil Hong. Multi-Label Classification with Auxiliary Features from 1D-CNN. Korea Computer Congress (KCC). 2021. Paper

• Joowon Park, Pyeonggang Kim, Jaewon Kim, Charmgil Hong. Methodology for Automatic Firearm Detection Model Generation Using YOLOv4. Korea Software Congress (KSC). 2020. Paper
• Seong Min Lee, Chan Kyung Kim, Gi Cheol Kim, Charmgil Hong. Faint Detection in Surveillance Videos Using an Outlier Detection Approach. Korea Software Congress (KSC). 2020. Paper
• Hyeyoung Kim, Miso Kim, Eunji Won, Charmgil Hong. A Case of Study on the Design and Implementation of a Big Data Search Engine for North Korea and Unification Literature. Korea Computer Congress (KCC). 2020. Paper
• Jun Hyung Kim, Charmgil Hong. An Application of a Deep Hazard Model on Cancer Risk Prediction. Korea Computer Congress (KCC). 2020. Paper
• Byungyoon Park, Joonyoung Choi, Charmgil Hong. A Functional Extension of an Open-Source Software for Structured Multi-Label Classification. Korea Computer Congress (KCC). 2020. Best Student Paper Award Paper Code
• Inhee Kwak, Jihee (Eunsol) Park, Charmgil Hong. Analysis of the Relation Between Solar Wind and the Disturbance of the Geomagnetic Field. Korea Computer Congress (KCC). 2020. Paper
• Byung-Un Jeong, Ji-Won Kim, Charmgil Hong. Design of Machine Learning and Augmented Reality-Based Personal Color Diagnostic System. Spring Conference of Korea Entertainment Industry Association. 2020. Best Paper Award Paper

Workshops/Symposiums (Non-archival)

• Charmgil Hong, Jong-Bok Kim, Seulkee Park, Yunseong Choe. Conceptual Metaphors in Food Reviews: LLM-Based Implications for Korean Discourse. Workshop at the 39th Pacific Asia Conference on Language, Information and Computation: The Language of Food in Asia. 2025.
• Seoeun Park, Yujin Kim, Charmgil Hong. A Study on Drug-Drug Interaction Prediction and Drug Recommendation Using Quantum Chemistry-Based Multimodal Molecular Representations. Korean Society of Medical and Biological Engineering. Fall, 2025. Best Paper Award
• Jihyun Moon, Soon Sun Kim, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. Turning LLMs into Clinical Decision Supporters: Optimizing Prompt Structure for Drug Side Effect Prediction in Chronic Hepatitis B Patients. The Liver Week (TLW) 2025.
• Seongbin Kim, Seungjun Yu, Gyueun Park, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Quantum Chemical Features Meet Clinical Data for DILI Prediction: Integrating Electronic Density Distribution of Antibiotics with Patient EMR Data. The Liver Week (TLW) 2025.
• Gwangjin Jeong, Yunseong Choe, Seyeong Ha, Seonghyun Lee, Sang Ho Lee, Charmgil Hong. A Study on RAG-based Automated Claims Amendment Framework for Patent Application Process Support. Korean Institute of Intelligent Systems (KIIS) Spring Conference 2025.

• Jihyun Moon, Soon Sun Kim, Ji Eun Han, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. A Study on Prompts for LLM-based Drug Side Effect Prediction in Chronic Hepatitis B Patients. Korean Society of Medical and Biological Engineering. Fall, 2024. Best Paper Award
• Soyeon Park, Charmgil Hong. A Study on Pneumonia Diagnosis Model Using X-Ray Images on EfficientNet. Korean Society of Medical and Biological Engineering. Fall, 2024.
• Harim Kim, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Personalized Prediction of Drug-Induced Liver Injury Using the Transformer Architecture. The Liver Week (TLW) 2024. Best Presentation Award
• Ye Jun Kim, Jae Geun Jang, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Analysis of a Machine Learning-Based Predictive Model for Hepatocellular Carcinoma in Chronic Hepatitis B Patients. The Liver Week (TLW) 2024.
• Geonyeong Choi, Charmgil Hong. Analysis of Drug Inducing Liver Injury: A Graph-Based Machine Learning Approach. The Liver Week (TLW) 2024.
• Ye Jun Kim, Jae Geun Jang, Soon Sun Kim, Jae Youn Cheong, Charmgil Hong. Analysis of a Machine Learning-Based Predictive Model for Hepatocellular Carcinoma in Chronic Hepatitis B Patients. Korean Society of Medical Informatics, Spring. 2024.
• Harim Kim, Minchae Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong. Red-Light Violation Detection Using Attention Mechanism in Dashcam Footage. Korea Multimedia Society, Spring. 2024.
• Hannah Hyesun Chun, Haeun Yoon, Ahhyun Kum, Chanju Lee, Hyunkyoo Choi, Charmgil Hong. Development of a Korean Parallel Corpus and a Machine Translation Model for South and North Korean. Korea Multimedia Society, Spring. 2024. Best Paper Award
• Chaewon Kim, Seeun Park, Harim Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong. A Method for Lane Recognition and Departure Detection Using Dashcam Videos. Korea Multimedia Society, Spring. 2024. Best Paper Award

• Hasung Cho, Hyeyoon Jung, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Improving in Adverse Effects Predictions Induced by Long-Term Antiviral Therapy for Chronic Hepatitis B Patients Using Drug Ontologies. Korean Society of Medical Informatics, Fall. 2023.
• Jihyeon Song, Soon Sun Kim, Ji Eun Han, Hyo Jung Cho, Jaeyoun Cheong, Charmgil Hong. Enhanced Prediction of Antiviral Treatment Response in Chronic Hepatitis B Utilizing Molecular Graph Embeddings. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2023.
• Jihyun Moon, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Analysis of Variable Importance Using Machine Learning for Predicting Adverse Drug Reactions in Patients with Chronic Hepatitis B. Korean Society of Medical Informatics, Spring. 2023.
• Myeong Ju Lim, Min Ji Park, Eunsol Park, Jae Youn Cheong, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Charmgil Hong. Predicting Abnormal Liver Enzyme Levels in Antiviral Patients Using a Multi-Layer Bidirectional Long Short-Term Memory Architecture. Korean Society of Medical Informatics, Spring. 2023.
• Jihyeon Song, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Jae Youn Cheong, Charmgil Hong. Improving the Predictive Accuracy of Antiviral Response for Chronic Hepatitis B Patients Using Molecular Graph Representation. Korean Society of Medical Informatics, Spring. 2023.

• Harim Kim, Hyo Jung Cho, Jae Youn Cheong, Charmgil Hong. Lenvatinib Efficacy Prediction Using Liver CT Images and a Pre-trained 3D-CNN. Korean Society of Medical Informatics, Fall. 2022.
• Juwon Baek, Geonyeong Choi, Jae Youn Cheong, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Min-Seo Shim, Charmgil Hong. Development of Drug Induced Liver Injury Prediction Model Based on Electronic Medical Record and Machine Learning. Korean Society of Medical Informatics, Fall. 2022.
• Jihee (Eunsol) Park, Byung-Ho Nam, Charmgil Hong. Prediction of Pancreatic Cancer Risk Using Deep Survival Analysis Models. Korean Society of Medical Informatics, Fall. 2022.
• Geonyeong Choi, Jae Youn Cheong, Hyo Jung Cho, Soon Sun Kim, Hyewon Jo, Charmgil Hong. Learning Molecular Embeddings for the Prediction of Drug Induced Liver Injury Using Graph Neural Networks. Korean Society of Medical Informatics, Spring. 2022. Best Paper Award
• Jihyeon Song, Jae Youn Cheong, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Min-Seo Shim, Kyoung Jin Lee, Chi Yong Ban, Charmgil Hong. Prediction of Antiviral Treatment Response in Chronic Hepatitis B Using Machine Learning. Korean Society of Medical Informatics, Spring. 2022.
• Sueun Park, Hyoyoung Seok, Jae Youn Cheong, Soon Sun Kim, Hyo Jung Cho, Ji Eun Han, Min-Seo Shim, Kyoung Jin Lee, Chi Yong Ban, Charmgil Hong. Prediction of Adverse Effects Induced by Long-Term Antiviral Therapy for Chronic Hepatitis B. Korean Society of Medical Informatics, Spring. 2022.
• Harim Kim, Charmgil Hong. Trespass Detection in Surveillance Videos Using VAE-SVDD with 3D-CNN. Korea Multimedia Society, Spring. 2022. Best Capstone Project in AI Award
• Da Hee Han, Ju Young Kwon, Charmgil Hong. Identifying Strange Behaviors in Surveillance Videos Using 3D CNN and Statistical Outlier Detection. Korea Multimedia Society, Spring. 2022.
• Dokyeong Lee, Charmgil Hong. Abnormal Behavior Detection and Visualization on Surveillance Videos. Korea Multimedia Society, Spring. 2022.
• Hyunmuk Kang, Youngkwang Ko, Youngmin Kim, Seohwee Park, Soeun Shin, Charmgil Hong. Literature Survey on 3D CNN Models for Video Action Recognition. Korea Multimedia Society, Spring. 2022.
• Hoyoon Choi, Charmgil Hong. Neural Machine Translation Using South Korean-North Korean Parallel Corpus. Korea Multimedia Society, Spring. 2022.
• Seong Min Lee, Chan Kyung Kim, Gi Cheol Kim, Charmgil Hong. Automatic Detection Software Design for Anomalous Behavior in Surveillance Videos Using 3-Dimensional Convolutional Network. Korea Multimedia Society, Summer. 2020.

• Charmgil Hong, Siqi Liu, Milos Hauskrecht. Detection of Unusual Input-Output Associations. SIAM Workshop on Dimension Reduction. 2017.
• Charmgil Hong, Rumi Ghosh, Soundar Srinivasan. Dealing with Class Imbalance Using Thresholding. KDD 2016 Workshop on Outlier Definition, Detection, and Description on Demand. 2016. Paper
• Charmgil Hong, Milos Hauskrecht. Analysis of Temporal Clinical Patterns using Hidden Markov Models. ICML 2012 Workshop on Clinical Data Analysis. 2012. Paper Poster

Articles

• Charmgil Hong. Who Are We Becoming in Human–AI Interaction (AI와 상호작용의 공간에서 우리는 누구인가). Faith and Life. 2026. Article
• Charmgil Hong, Chanju Lee, Minjoo Shin, Jeongyeon Yoo. KUBiC: Korean Unification Bigdata Center (KUBiC: 통일빅데이터센터). The Magazine of the IEIE. 2024. Article
• In Ho Song, Jaechun Won, Semee Kim, Yong Joon Choi, Myung Hee Jun, Monica Jeong, Jieun Jung, Ducksu Seo, Jihyoun Park, Charmgil Hong. Why Not a Unified Korea? (Why not? 통일한국!) ISBN: 9791167258663. Knowledge Community. 2025. Metainfo

Dissertation

• Multivariate Data Modeling and Its Applications to Conditional Outlier Detection. Doctoral Dissertation, University of Pittsburgh. 2017. Link

Intellectual Property

Patents

• R. Ghosh, C. Hong, and S. Srinivasan. “Value Addition Dependent Data Mining Techniques for Assembly Lines.” US Patent Application No. 15/342,677.
• Personal Color Diagnosis Method and System Based on Machine Learning and Augmented Reality (머신러닝 및 증강현실 기반의 퍼스널 컬러 진단 방법 및 시스템). Korean Patent No. 10-2425873
• Real Time Data-Based Electric Vehicle Driving Range Prediction Method Using Electric Vehicle Telematics Data and BMS Data (전기자동차의 텔레매틱스 데이터 및 BMS 데이터를 활용한 실데이터 기반 전기자동차 주행 가능거리 예측 방법). Korean Patent No. 10-2789791
• Apparatus and Method for Predicting Side Effect of Hepatitis B Antiviral Drug (B형 간염 항바이러스제 부작용 예측 장치 및 그 방법). Korean Patent No. 10-2883323
• Demand Forecasting Method Using Optimization Techniques (최적화 기법을 이용한 수요 예측 방법). Korean Patent No. 10-2884044
• Pre-Training and Transfer Learning Used Demand Forecasting Apparatus and Its Method (사전학습과 전이학습을 이용한 수요 예측 장치 및 그 방법). No. 10-2023-0121050 (pending)
• Prediction Method Using Pre-Training and Transfer Learning and a Target Prediction Framework for Performing the Method (사전학습 및 전이학습을 이용한 타겟 예측 방법 및 이를 수행하는 타겟 예측 프레임워크). No. 10-2023-0172099 (pending)
• Dashcam Video Analysis Network for Enhanced Safe Driving (안전운전 강화를 위한 블랙박스 영상 분석 네트워크). No. 10-2023-0185288 (pending)

Invention disclosures

• C. Hong, D. Fradkin, and A. Chakraborty. “Multi-Target Regression Using Canonical Correlation Analysis.” Invention disclosure No. 2015E16593US, Siemens.
• H. Hochheiser, S. Visweswaran, G. Trivedi, C. Hong, R. Handzel, and E. Dadashzadeh. “Automation of Useful Secondary Findings From Radiology and Pathology Reports.” Invention disclosure No. 04737, University of Pittsburgh.
• M. Hauskrecht, G. Clermont, G. F. Cooper, S. Malakouti, C. Hong, Z. Luo, M. P. Barren, and S. Liu. “Real-time Clinical Monitoring and Alerting System.” Invention disclosure No. 04995, University of Pittsburgh.

Contact

• (first_name)@handong.edu
• LinkedIn: charmgil

---

Page design by AS