Research output per year
Research output per year
Personal profile
Education
ㅇ(1998). B.S., KAIST
ㅇ(2000) M.S., KAIST
ㅇ(2006) Ph.D., KAIST
ㅇ(2000) M.S., KAIST
ㅇ(2006) Ph.D., KAIST
Professional Experience
ㅇ (Mar. 2023~Present) Tenured professor, School of Computing, KAIST, Daejeon
ㅇ (Mar. 2020~Feb.2023) Tenured Associate professor, School of Computing, KAIST, Daejeon
ㅇ (Mar. 2017~Feb. 2000) Tenured Associate professor, Daegu Gyeongbuk Institute of Science and Technology (DGIST),
ㅇ (Mar. 2011~Feb. 2017.) Assistant professor / Associate professor, Daegu Gyeongbuk Institute of Science and Technology (DGIST)
ㅇ (Oct. 2009~Feb. 2011) Postdoctoral Research Staff, Department of Advanced Optimization, Computer Science, IBM Almaden Research Center, USA,
ㅇ (Oct. 2007~Sept. 2009) Postdoctoral Research Associate, Data Mining Research Group, Department of Computer Science, University of Illinois at Urbana-Champaign, USA,
ㅇ (Sept. 2006~Sept. 2007) Postdoctoral Fellow, Database and Multimedia Lab, Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST)
ㅇ (Mar. 2020~Feb.2023) Tenured Associate professor, School of Computing, KAIST, Daejeon
ㅇ (Mar. 2017~Feb. 2000) Tenured Associate professor, Daegu Gyeongbuk Institute of Science and Technology (DGIST),
ㅇ (Mar. 2011~Feb. 2017.) Assistant professor / Associate professor, Daegu Gyeongbuk Institute of Science and Technology (DGIST)
ㅇ (Oct. 2009~Feb. 2011) Postdoctoral Research Staff, Department of Advanced Optimization, Computer Science, IBM Almaden Research Center, USA,
ㅇ (Oct. 2007~Sept. 2009) Postdoctoral Research Associate, Data Mining Research Group, Department of Computer Science, University of Illinois at Urbana-Champaign, USA,
ㅇ (Sept. 2006~Sept. 2007) Postdoctoral Fellow, Database and Multimedia Lab, Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST)
Research interests
Database, data mining, machine learning, and bioinformatics
Major Research Achievements
o GPU-powered ultra-fast, ultra-large-scale graph database systems
o Graph-relational database systems
o Vector-relational database systems
o Large-scale, high-performance full-graph GNN systems
o Effective and efficient retrieval-augmented generation (RAG) methods
o Large-scale matrix and tensor computation systems
o High-efficiency, high-accuracy primer design algorithms for qPCR experiments
o Graph-relational database systems
o Vector-relational database systems
o Large-scale, high-performance full-graph GNN systems
o Effective and efficient retrieval-augmented generation (RAG) methods
o Large-scale matrix and tensor computation systems
o High-efficiency, high-accuracy primer design algorithms for qPCR experiments
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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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A federated learning framework for arbitrary spatio-temporal graph neural networks
Yoon, H., Chon, K. W. & Kim, M. S., 26 Dec 2025, In: Engineering Applications of Artificial Intelligence. 162, 112801.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Chimera: A system design of dual storage and traversal-join unified query processing for SQL/PGQ
Lee, G., Park, J. & Kim, M. S., 2025, In: Proceedings of the VLDB Endowment. 18, 2, p. 279-292 14 p.Research output: Contribution to journal › Conference article › peer-review
3 Scopus citations -
Development and validation of a multi-stage self-supervised learning model for optical coherence tomography image classification
Shim, S., Kim, M. S., Yae, C. G., Kang, Y. K., Do, J. R., Kim, H. K. & Yang, H. L., 1 May 2025, In: Journal of the American Medical Informatics Association. 32, 5, p. 800-810 11 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
FlexGNN: A High-Performance, Large-Scale Full-Graph GNN System with Best-Effort Training Plan Optimization
Bae, J., Han, D. & Kim, M. S., 3 Aug 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 59-70 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
GFlux: A Fast GPU-Based Out-of-Memory Multi-Hop Query Processing Framework for Trillion-Edge Graphs
Oh, S., Yoon, H., Han, D. & Kim, M. S., 2025, Proceedings - 2025 IEEE 41st International Conference on Data Engineering, ICDE 2025. IEEE Computer Society, p. 932-945 14 p. (Proceedings - International Conference on Data Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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Korea Advanced Institute of Science and Technology (KAIST) Researchers Update Current Study Findings on Science (Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis)
Kim, M. H., Kim, M. J., Kim, M.-S. & Kim, K. M.
22/05/25
1 item of Media coverage
Press/Media
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Findings from Korea Advanced Institute of Science and Technology (KAIST) Yields New Data on Biosensors (Highly Wrinkled Reduced Graphene Oxide Nanocomposite Coating for a Multiplexed Electrochemical Biosensor)
Park, S., Kim, M. H., Lee, C. J., Kim, M. J., Kim, M.-S. & Kim, Y. K.
21/05/25
1 item of Media coverage
Press/Media
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Korea Advanced Institute of Science and Technology (KAIST) Reports Findings in Quantum Dots [Chiroferromagnetic Quantum Dots for Chiroptical Synapse (ChiropS)]
Im, S. G., Kim, M. H., Yeom, J., Kim, M. J., Kim, M.-S. & Kim, K. M.
18/04/25
1 item of Media coverage
Press/Media
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Korea Advanced Institute of Science and Technology (KAIST) Reports Findings in Liquid State Machines (A Neuransistor with Excitatory and Inhibitory Neuronal Behaviors for Liquid State Machine)
Kim, Y.-J., Kim, M. H., Kim, M. J., Kim, Y. C., Kim, Y.-G., Kim, M.-S. & Kim, K. M.
18/04/25
1 item of Media coverage
Press/Media