Research output per year
Research output per year
Personal profile
In Korean
김경훈 교수(IT대학 컴퓨터학부)
Education
o (1998) B.A., POSTECH, Korea
o (2000) M.S., POSTECH, Korea
o (2005) Ph.D., POSTECH, Korea
o (2000) M.S., POSTECH, Korea
o (2005) Ph.D., POSTECH, Korea
Professional Experience
o (2005 ~ 2007) Postdotoral Researcher, The University of Melbourne, Australia
o (2007 ~ 2020) Professor, Gyeongsang National University, Jinju, Korea
o (2020 ~ Present) Professor, Kyungpook National University, Daegu, Korea
o (2007 ~ 2020) Professor, Gyeongsang National University, Jinju, Korea
o (2020 ~ Present) Professor, Kyungpook National University, Daegu, Korea
Research Interests
Real-time systems, Scheduling algorithm design, Cloud computing resource scheduling, Avionics systems, Computer security
Major Research Achievements
o A Fine-grained Secure Service Provisioning Platform for Hypervisor Systems
o Development of Multi-quadrotor Simulator based on Real-time Hypervisor Systems
o Towards Overhead-Free Interface Theory for Compositional Hierarchical Real-Time Systems
o Development of Multi-quadrotor Simulator based on Real-time Hypervisor Systems
o Towards Overhead-Free Interface Theory for Compositional Hierarchical Real-Time Systems
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Energizing the fog: a systematic survey on task scheduling strategies for energy optimization
Nagabushnam, G., Choi, Y. & Kim, K. H., Oct 2025, In: Cluster Computing. 28, 6, 375.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Faddeer: a deep multi-agent reinforcement learning-based scheduling algorithm for aperiodic tasks in heterogeneous fog computing networks
Nagabushnam, G. & Kim, K. H., Oct 2025, In: Cluster Computing. 28, 6, 385.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
FAMASO: fog-adaptive multi-agent scheduling optimization
Nagabushnam, G., Kim, K. H. & Choi, Y., Sep 2025, In: Cluster Computing. 28, 8, 533.Research output: Contribution to journal › Article › peer-review
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FODAS: A Novel Reinforcement Learning Approach for Efficient Task Scheduling in Fog Computing Network
Nagabushnam, G., Choi, Y. & Kim, K. H., 2024, 2024 9th International Conference on Fog and Mobile Edge Computing, FMEC 2024. Quwaider, M., Alawadi, S. & Jararweh, Y. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 46-53 8 p. (2024 9th International Conference on Fog and Mobile Edge Computing, FMEC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
7 Scopus citations -
FANET Routing Protocol Analysis for Multi-UAV-Based Reconnaissance Mobility Models
Kim, T., Lee, S., Kim, K. H. & Jo, Y. I., Mar 2023, In: Drones. 7, 3, 161.Research output: Contribution to journal › Article › peer-review
Open Access40 Scopus citations