HAIL

Handong Artificial Intelligence Lab.


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Welcome to the HAIL Research Group!

HAIL (Handong Artificial Intelligence Lab) is an active research group within the School of Computer Science and Electrical Engineering at Handong Global University, Korea. We are dedicated to pioneering advances in artificial intelligence, with research spanning deep learning, graph models, anomaly detection, and applied machine learning. Our mission is to drive innovation and excellence in the field of AI.

People

Principal Investigator

Charmgil Hong, Ph.D.


Graduate Students

Master's Students
Jihyeon Song, B.S.E. Harim Kim, B.S.E. Jihyun Moon, B.S.E.


Undergraduate Students

Post-Capstone Students
Jieun Kang, B.S.E. Yeongseo Go Hannah Hyesun Chun Ye Jun Kim
Students on Capstone Projects
Junghyun Ahn (KUBIC) Hyeeun Yeon (KUBIC) Donggun Park (VIDEX) Soyeon Park (VIDEX)
Yongbin Kwon (VIDEX) Seongbin Kim (MMM) Gyueun Park (MMM) Seungjun Yu (MMM)
Hakyoung An (RUL) Dajeong Lee (RUL) Hyewon Jeon (RUL) Heeseo Jeong (RUL)
Seonghyun Lee (LLLM) Gwangjin Jeong (LLLM) Yunseong Choe (LLLM) Seyeong Ha (LLLM)


Former Students

M.S. Graduates
Geonyeong Choi (2021-2024) - Ph.D. Student at the University of Pittsburgh
B.S.E. Contributors
Jaemin Jung (VIDEX, '23-'24) Soonyong Park (VIDEX, '23-'24) Jae Geun Jang (DANS, '23-'24) Hee Song Kim (DANS, '23-'24)
Seong Kyung Kim (DANS, '23-'24) Ye Jun Kim (DANS, '23-'24) Yeongseo Go (RUL, '23-'24) Hyemin Shin (RUL, '23-'24)
Chaewon Kim (SDS, '23-'24) Seeun Park (SDS, '23-'24) Ahhyun Kum (KUBIC, '23-'24) Haeun Yoon (KUBIC, '23-'24)
Hannah Hyesun Chun (KUBIC, '23-'24) Yohan Sohn (DANS, '23-'24) Yeseul Kim (DANS, '23-'24) Hanyoung Jeong (RUL, '22-'24)
Seokjun Kim (RUL, '22-'23) Chanju Lee (KUBIC, '22-'24) Minjoo Shin (KUBIC, '22-'23) Jeongyeon Yoo (KUBIC, '22-'23)
Hasung Cho (DANS, '22-'23) Hyeyoon Jung (DANS, '22-'23) Jihyun Moon (DANS, '22-'23) Myeong Ju Lim, R.N. (DANS, '22-'23)
Min Ji Park (DANS, '22-'23) Minchae Kim (VODE, '22-'24) Seohwee Park (VODE, '22-'23) Hyunmuk Kang (VODE, '22-'23)
Youngkwang Ko (VODE, '22-'23) Youngmin Kim (VODE, '22-'24) Soeun Shin (VODE, '22-'23) Jueun Kim (VODE, '21-'22)
Yewon Kim (VODE, '21-'22) Haram Baek (VODE, '21-'22) Harim Kim (VODE, '21-'22) Dokyeong Lee (VODE, '21-'22)
Da Hee Han (VODE, '21-'22) Ju Young Kwon (VODE, '21-'22) Jihyoung Jang (KUBIC, '21-'22) Hoyoon Choi (KUBIC, '21-'22)
Hyunsoo Kim (KUBIC, '21-'22) Dulguun Dorjlkham (DANS, '21-'22) Juwon Baek (DANS, '21-'22) Sueun Park (DANS, '21-'22)
Jihyeon Song (PCRISK, DANS, '21-'22) Inhee Kwak (KUBIC, '20-'21) Jihee (Eunsol) Park (KUBIC, '20-'21) Suah Park (KUBIC, '20-'21)
Jinwoo Nam (REPROD, PRICE, '20-'21) Kwangjae Kim (REPROD, PRICE, '20-'21) Joonyoung Choi (PRICE, '20-'21) Hyunsu Han (PRICE, '20-'21)
Joowon Park (OBDE, '20-'21) Pyeonggang Kim (OBDE, '20-'21) Jaewon Kim (OBDE, '20-'21) Hyoyoung Seok (PCRISK, DANS, '20-'21)
Jongmin Lee (PCRISK, '20-'21) Wanseo Jo (PCRISK, '20-'21) Jae Hong Cheon (PCRISK, '20-'21) Sinhui Kim (PCRISK, '20-'21)
Kiwon Moon (PCRISK, '20-'21) Hyejeong Hong (PCRISK, '20-'21) Junhyung Kim (MLC, '20-'21) Byungyoon Park (MLC, '20-'21)
Seong Min Lee (VODE, '20) Chan Kyung Kim (VODE, '20) Gi Cheol Kim (VODE, '20) Byung-Un Jeong (FACE, '20)
Ji-Won Kim (FACE, '20) Hyeyoung Kim (KUBIC, '19-'20) Miso Kim (KUBIC, '19-'20)

Projects

Discover our groundbreaking projects that are shaping the future of AI and transforming our lives.

ML Method Dev

Developing advanced neural network methodologies to enhance machine learning applications and performance.

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Medical & Clinical AI

Creating AI solutions to improve healthcare through precise diagnosis and personalized treatment.

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Anomalies in Surveillance

Facilitating AI systems to identify and analyze unusual behaviors in real-time surveillance footage.

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Battery Remaining Useful Life

Designing predictive models to accurately forecast the remaining value and lifespan of batteries.

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Publications

Explore our published papers that include our research findings.

International

  • Hannah Hyesun Chun, Chanju Lee, Hyungyu 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. (to appear)
  • Harim Kim, Chang Ha Lee, Charmgil Hong. Transformer for Point Anomaly Detection. ACM International Conference on Information and Knowledge Management (CIKM). 2024. Paper 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
  • 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

Domestic (Korean)

  • 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.
  • 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.
  • Hannah Hyesun Chun, Chanju Lee, Hyungyu 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.
  • 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.
  • 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, Hyungyu 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
  • 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

  • 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 Presentation 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.
  • Hyesun Chun, Haeun Yoon, Ahhyun Kum, Chanju Lee, Hyungyu 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.
  • 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.

Awards

Celebrate our achievements and recognitions that highlight our commitment to excellence in AI research.

  • Jihyun Moon et al. Best Paper Award (Gold). Korean Society of Medical and Biological Engineering. November 2024.
  • Harim Kim et al. Best Paper Award. 20th IEEE International Conference on Advanced Video and Signal-Based Surveillance. July 2024.
  • Jihyun Moon. Generative AI Competition. VAIV x KCC (Korean Computer Congress). June 2024.
  • Harim Kim et al. Best Presentation Award. The Liver Week. June 2024.
  • Hyesun Chun, Haeun Yoon, Ahhyun Kum, Chanju Lee et al. Best Paper Award. Korea Multimedia Society. May 2024.
  • Chaewon Kim, Seeun Park, Harim Kim et al. Best Paper Award. Korea Multimedia Society. May 2024.
  • Jae Geun Jang, Ye Jun Kim et al. Best Student Paper Award. KSC (Korean Software Congress). December 2023.
  • Hanyoung Jeong, Seokjun Kim, Yeongseo Go, Hyemin Shin et al. Best Student Paper Award. KSC (Korean Software Congress). December 2023.
  • Harim Kim, Yeseul Kim, Yohan Sohn et al. Best Paper Award. KSC (Korean Software Congress). December 2023.
  • Jihyeon Song et al. Best Paper Award. KCC (Korean Computer Congress). June 2023.
  • Seokjun Kim, Hanyoung Jeong et al. Best Student Paper Award. KCC (Korean Computer Congress). June 2023.
  • Jihyoung Jang et al. Best Student Paper Award. KCC (Korean Computer Congress). June 2022.
  • Geonyeong Choi et al. Best Paper Award. Korean Society of Medical Informatics. June 2022.
  • Harim Kim et al. Best Capstone Project in AI Award. Korea Multimedia Society. May 2022.
  • Hyoyoung Seok, Wanseo Jo et al. Best Student Paper Award. KCC (Korean Computer Congress). June 2021.
  • Byungyoon Park, Joonyoung Choi et al. Best Student Paper Award. KCC (Korean Computer Congress). June 2020.
  • Byung-Un Jeong, Ji-Won Kim et al. Best Paper Award. Spring Conference of Korea Entertainment Industry Association. May 2020.