Gyeongdeok Kim

Contact

Email: kimkunduk@gm.gist.ac.kr
LinkedIn: gyeongdeok-kim-16a871287

Summary

Ph.D. candidate at Gwangju Institute of Science and Technology (GIST), Artificial Intelligence Graduate School, Haptic Assistive Media (HAM) Lab.
Research Interests: Human-Computer Interaction (HCI), Accessibility for People with Disabilities, Haptics

Experience

Electronics and Telecommunications Research Institute (ETRI)

Student Intern | July 2019 – August 2019

• Performed statistical analysis of crime data for early recognition of dangerous situations.
• Developed a crime visualization program, registered under copyright.
• Published related research at IEEE ICTC 2020.

Korea University of Technology and Education

Undergraduate Student Researcher | January 2019 – May 2020

• Preprocessed point cloud data and classified plant equipment shapes using deep learning techniques.
• Developed object detection methods for recognizing equipment in plant facilities.

Gwangju Institute of Science and Technology

Graduate Student Researcher | January 2021 – Present

• Conducted independent research under the supervision of Professor Gunhyuk Park.

Education

Korea University of Technology and Education
Bachelor's Degree, Mechanical Engineering & Computer Science

Gwangju Institute of Science and Technology
Ph.D. Program in Artificial Intelligence (in progress)

Publications

• Bandwidth Selection of Kernel Density Estimation for GIS-based Crime Occurrence Map Visualization
  Yongjin Kim, Gyeongdeok Kim, Yongtae Lee, Kwangho Jang
  IEEE International Conference on ICT Convergence (ICTC), 2020
• Emotional and sensory ratings of vibration Tactons in the lab and crowdsourced settings
  Chungman Lim, Gyeongdeok Kim, Yatiraj Shetty, Troy McDaniel, Hasti Seifi, Gunhyuk Park
  International Journal of Human-Computer Studies, 2025
• I-Scratch: Independent Slide Creation With Auditory Comment and Haptic Interface for the Blind and Visually Impaired
  Gyeongdeok Kim, Chungman Lim, Gunhyuk Park
  Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
• Can a Machine Feel Vibrations?: Predicting Roughness and Emotional Responses to Vibration Tactons via a Neural Network
  Chungman Lim, Gyeongdeok Kim, Su-Yeon Kang, Hasti Seifi, Gunhyuk Park
  IEEE Transactions on Haptics