Hello, I am Harim Kim.

I am currently working on my master’s degree in the Department of Computer Science and Electrical Engineering at Handong Global University. My research interests include the development of deep learning networks and algorithms based on the characteristics of data. I am currently working under the guidance of Prof. Charmgil Hong in Handong Artificial Intelligence Lab. (HAIL), and I am searching potential research labs for my Ph.D. studies.

Education

• Master of Computer Science (Currently 4th Semester)
  • Handong Global University, Pohang, South Korea
  • Expected Graduation: July, 2025
• Bachelor of Computer Science
  • Handong Global University, Pohang, South Korea
  • Graduated: February, 2023

Research Interest

• My focus is on developing models that effectively perform anomaly detection on tabular and video data. Additionally, I am passionate about advancing multimodal AI for tasks involving dashcam video data, medical image/drug data, and more.
• Recently, my study has centered on multimodal learning, self-supervised learning, graph representation learning, and trustworthy AI.

Work Experience

• Graduate Research Assistant
  • Handong Global University, Pohang, South Korea
  • Advisor: Charmgil Hong
  • March 2023 - Present
• Research Intern
  • ETRI (Electronics and Telecommunications Research Institute), Daejeon, South Korea
  • January 2023 - February 2023 (1.5 month)

Volunteer Experience

• Student Volunteer, IJCAI (International Joint Conferences on Artificial Intelligence)
  • August 2024
• Teaching Assistant, Data Science Camp in Cambodia, UNESCO UNITWIN
  • August 2023

Refereed Publications

• International Venues
  • Harim Kim, Chang Ha Lee, Charmgil Hong. Transformer for Point Anomaly Detection. ACM International Conference on Information and Knowledge Management (CIKM). 2024. (paper,github)
  • 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)
  • 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. (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)
  • 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)
• Domestic Venues
  • 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. (in press)
  • 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.
  • Harim Kim, Yuseok Bae, Joong-won Hwang. Distance-Based Confidence Calibration Method Robust to Open Set Classfication. Korea Computer Congress (KCC). 2023.
  • Harim Kim, Charmgil Hong. Outlier Detection-Based Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder. Korea Computer Congress (KCC). 2022.

Workshops/Symposiums

• 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.
• 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.
• 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.
• 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.
• Harim Kim, Charmgil Hong. Trespass Detection in Surveillance Videos Using VAE- SVDD with 3D-CNN. Korea Multimedia Society, Spring. 2022.

Awards

• Best Paper Award. 20th IEEE International Conference on Advanced Video and Signal-Based Surveillance. July 2024.
• Best Presentation Award. The Liver Week. June 2024.
• Best Paper Award. Korea Multimedia Society, Spring. May 2024.
• Best Paper Award. KSC (Korean Software Congress). December 2023.
• Best Capstone Project in AI Award. Korea Multimedia Society, Spring. May 2022.
• 1st Prize, the Capstone Design. Handong Global University. June 2022.