Kyung-Joon Park

Emailkjpdgist.ackr

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Research activity per year

Education

- 2005 Ph.D., Seoul National University
- 2000 M.S., Seoul National University
- 1998 B.S., Seoul National University

Professional Experience

- 2011-present Professor, Department of EECS, DGIST
- 2006-2010 Postdoctoral Research Associate, UIUC
- 2005-2006 Samsung Electronics, Korea

Research Interests

- Cyber-physical systems
- Industrial communications
- Smart manufacturing

Major Research Achievements

- Design of resilient networking for CPS
- Associate Editor, IEEE Transactions on Industrial CPS
- Gold Prize, 4th Samsung Inside Edge International Thesis Competition

URL

https://csi.dgist.ac.kr/

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86 Article
45 Conference contribution
6 Editorial
4 Paper
More

An Analytical Latency Model of the Data Distribution Service in ROS 2
Park, H. S., Lee, S., Um, D., Ryu, H. & Park, K. J., 2025, INFOCOM 2025 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., (Proceedings - IEEE INFOCOM).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations
Cyber-Physical AI: Systematic Research Domain for Integrating AI and Cyber-Physical Systems
Lee, S., Chae, J., Jeon, H., Kim, T., Hong, Y. G., Um, D. S., Kim, T. & Park, K. J., 22 Apr 2025, In: ACM Transactions on Cyber-Physical Systems. 9, 2, 19.
Research output: Contribution to journal › Article › peer-review

Open Access
5 Scopus citations
DIDoS: Disturbance-induced Denial-of-service Attack in Networked Cyber-physical Systems
Kim, S., Lee, S. & Park, K. J., Nov 2025, In: International Journal of Control, Automation and Systems. 23, 11, p. 3257-3267 11 p.
Research output: Contribution to journal › Article › peer-review
From issues to routes: A cooperative costmap with lifelong learning for Multi-AMR navigation
Chae, J., Lee, S., Seo, H. & Park, K. J., Nov 2025, In: Journal of Industrial Information Integration. 48, 100941.
Research output: Contribution to journal › Article › peer-review
Integrating ROS 2 and Physical AI: Architecture and Challenges
Lee, S., Chae, J. & Park, K. J., 2025, ICUFN 2025 - 16th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, p. 9-11 3 p. (International Conference on Ubiquitous and Future Networks, ICUFN).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Findings from Daegu Gyeongbuk Institute of Science and Technology (DGIST) Advance Knowledge in Pharmacology (Zebrafish EEG predicts the efficacy of antiepileptic drugs)
Kim, S. & Park, K.-J.
27/12/22
1 item of Media coverage
Press/Media

Kyung-Joon Park

Personal profile

Education

Professional Experience

Research Interests

Major Research Achievements

URL

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

An Analytical Latency Model of the Data Distribution Service in ROS 2

Cyber-Physical AI: Systematic Research Domain for Integrating AI and Cyber-Physical Systems

DIDoS: Disturbance-induced Denial-of-service Attack in Networked Cyber-physical Systems

From issues to routes: A cooperative costmap with lifelong learning for Multi-AMR navigation

Integrating ROS 2 and Physical AI: Architecture and Challenges

Findings from Daegu Gyeongbuk Institute of Science and Technology (DGIST) Advance Knowledge in Pharmacology (Zebrafish EEG predicts the efficacy of antiepileptic drugs)

Kyung-Joon Park

Personal profile

Education

Professional Experience

Research Interests

Major Research Achievements

URL

Fingerprint

Collaborations and top research areas from the last five years

Research output

An Analytical Latency Model of the Data Distribution Service in ROS 2

Cyber-Physical AI: Systematic Research Domain for Integrating AI and Cyber-Physical Systems

DIDoS: Disturbance-induced Denial-of-service Attack in Networked Cyber-physical Systems

From issues to routes: A cooperative costmap with lifelong learning for Multi-AMR navigation

Integrating ROS 2 and Physical AI: Architecture and Challenges

Press/Media

Findings from Daegu Gyeongbuk Institute of Science and Technology (DGIST) Advance Knowledge in Pharmacology (Zebrafish EEG predicts the efficacy of antiepileptic drugs)