Kim, Jinoh individual record
Associate Professor
Positions:
overview

I am an Associate Professor in the Department of Computer Science and Information Systems at the Texas A&M University-Commerce since Fall 2012. My research interests spans systems and networks in computer science, including distributed systems, network monitoring, measurements and management, big-data computing and analytics, and high-performance computing.

education and training
selected publications
Academic Articles17
  • Nakashima, M., Sim, A., Kim, Y., Kim, J., & Kim, J (2021). Automated Feature Selection for Anomaly Detection in Network Traffic Data. ACM Transactions on Management Information Systems. 12(3), 1-28.
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  • Baek, S., Kwon, D., Suh, S. C., Kim, H., Kim, I., & Kim, J (2021). Clustering-based label estimation for network anomaly detection. Digital Communications and Networks. 7(1), 37-44.
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  • Choi, J., Gu, Y. u., & Kim, J (2020). Learning-based dynamic cache management in a cloud. Journal of Parallel and Distributed Computing. 145, 98-110.
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  • Tharp, J., Suh, S. C., Cho, H., & Kim, J (2019). Improving signature quality for network application identification. Digital Communications and Networks. 5(3), 139-146.
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  • Kim, J., Sim, A., Tierney, B., Suh, S., & Kim, I (2019). Multivariate network traffic analysis using clustered patterns. Computing. 101(4), 339-361.
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Chapters3
  • Suh, S. C., Bandi, H., Kim, J., & Tanik, U. J (2020). Case Study: STEM Contribution in Indian IT Clusters. STEM in the Technopolis: The Power of STEM Education in Regional Technology Policy. 285-296. Springer International Publishing.
  • Kim, J., Chou, J., & Rotem, D (2011). Energy Proportionality and Performance in Data Parallel Computing Clusters. ALGORITHMS AND DATA STRUCTURES, PROCEEDINGS. Lecture Notes in Computer Science. 414-431. Springer Berlin Heidelberg.
  • Weissman, J. B., Kumar, V., Chandola, V., Eilertson, E., Ertoz, L., Simon, G., Kim, S., & Kim, J (2007). DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. ALGORITHMS AND DATA STRUCTURES, PROCEEDINGS. Computational Science – ICCS 2007. 1222-1229. Springer Berlin Heidelberg.
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Conference Papers30
  • Fan, W., Kim, J., Kim, I., Zhou, X., & Chang, S (2021). Performance Analyses for Applying Machine Learning on Bitcoin Miners. 2021 International Conference on Electronics, Information, and Communication (ICEIC), 2021 International Conference on Electronics, Information, and Communication (ICEIC). 00, 1-4.
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  • Kim, J., Sim, A., Kim, J., & Wu, K (2020). Botnet Detection Using Recurrent Variational Autoencoder. GLOBECOM 2020 - 2020 IEEE Global Communications Conference, GLOBECOM 2020 - 2020 IEEE Global Communications Conference. 00, 1-6.
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  • Weinger, B., Kim, J., Sim, A., Nakashima, M., Moustafa, N., & Wu, K. J (2020). Enhancing IoT Anomaly Detection Performance for Federated Learning. 2020 16th International Conference on Mobility, Sensing and Networking (MSN), 2020 16th International Conference on Mobility, Sensing and Networking (MSN). 00, 206-213.
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  • Al Olaimat, M., Lee, D., Kim, Y., Kim, J., & Kim, J (2020). A Learning-based Data Augmentation for Network Anomaly Detection. 2020 29th International Conference on Computer Communications and Networks (ICCCN), 2020 29th International Conference on Computer Communications and Networks (ICCCN). 00, 1-10.
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  • Nakashima, M., Sim, A., & Kim, J (2020). Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities. Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing. 53-56.
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Email
Jinoh.Kim@tamuc.edu
First Name
Jinoh
Last Name
Kim