Faculty/Staff Directory
Dr. Myungjae Kwak
478.757.6682
Department Chair & Professor
Credentials: Ph.D.
| Locations: (Campus & Office) |
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| Biography: | Myungjae Kwak, Ph.D., is Department Chair, Professor, and Peyton Anderson Endowed Chair in the Department of Computer Science at Middle Georgia State University, where he also serves as Director of the Center for Software Innovation and Applied AI. His academic background spans information systems, computer science, and economics, with a Ph.D. in Information Systems and Technology from Claremont Graduate University. His teaching and curriculum development focus on software engineering, data science and analytics, artificial intelligence, machine learning, and database systems, across undergraduate, master’s, and doctoral programs. His research interests include data analytics and AI, biomedical informatics, IoT and wireless sensor networks, text and data mining, and AI-driven intelligent tutoring systems for programming education, supported by external funding from organizations such as the National Science Foundation and Affordable Learning Georgia. He has published extensively in journals and conferences in computer information systems, networking, data science, and biomedical informatics, and he is deeply engaged in editorial and professional service to the computing and information systems community. |
| Syllabi: | |
| Courses: | Spring 2026 • CSCI 2300 Experiential Learning in CS • CSCI 4750 Senior Capstone |
| Education: (All institutions attended and degrees or credentials earned) | Dr. Myungjae Kwak Department Chair, Professor, and Peyton Anderson Endowed Chair • Ph.D., Information Systems and Technology - Claremont Graduate University (CGU) • M.S., Information Systems and Technology - Claremont Graduate University (CGU) • M.E., Computer Science - Information & Communications University (currently KAIST, South Korea) • B.S., Economics - Hankuk University of Foreign Studies (Seoul, South Korea) |
| Professional Experience: | • Nexon America Inc. – Lead Software Engineer / Team Leader • Electronics and Telecommunications Research Institute (ETRI) – Senior Researcher • The Bank of Korea – Economist |
| Publications and Scholarships: (Last 5 Years) | Jenkins, J., Kim, J., Kwak, M., & Seol, J. (2024). Wireless technologies for environmental monitoring: A network perspective. Journal of Computer Information Systems, 1–16. https://doi.org/10.1080/08874417.2024.2399099 Feroz, K., & Kwak, M. (2024). Digital transformation (DT) and artificial intelligence (AI) convergence in organizations. Journal of Computer Information Systems, 1–17. https://doi.org/10.1080/08874417.2024.2424372 Kim, J., Kwak, M., & Jenkins, J. (2024). Reliable image transmission over LoRa networks. Issues in Information Systems, 25(1), 199–207. https://doi.org/10.48009/1_iis_2024_117 Feroz, K., & Kwak, M. (2024). Data science and digital transformation for sustainability. Issues in Information Systems, 25(1), 221–234. https://doi.org/10.48009/1_iis_2024_119 Lee, J. L., Kim, J., & Kwak, M. (2023). Performance Evaluation of Co-Channel Interference on Wireless Networks. Journal of Computer Information Systems, 63(6), 1301-1315. Kwak, M., Jenkins, J., & Kim, J. (2023). Adaptive programming language learning system based on generative AI. Issues in Information Systems, 24(3). Kwak, M., et al. (2022). Metabolite Fragmentation Visualization. Journal of Systemics, Cybernetics and Informatics, 20(5), 138-147. Chen, C., Ractham, P., & Kwak, M. (2022). Achieving Entrepreneurial Success for Student Ventures under Uncertainty. Journal of Computer Information Systems, 1-13. Kwak, M., Kang, K., & Wang, Y. (2022). Methods of metabolite identification using MS/MS data. Journal of Computer Information Systems, 62(1), 12-18. Kim, J., Jenkins, J., Seol, J., & Kwak, M. (2022). Extending data transmission in the multi-hop LoRa network. Issues in Information Systems, 23(3), 292-304. Clemente, C. & Kwak, M. (2022). Utilizing Data Science and Analytics in Predicting Campus Placement. Issues in Information Systems, 23(3), 53-63. Wang, Y., Xu, B., Kwak, M., & Zeng, X. (2021). A noise injection strategy for graph autoencoder training. Neural Computing and Applications, 33(10), 4807-4814. |
| Professional Affiliations: | Associate Editor - Journal of Computer Information Systems |
| Awards and Honors: | • Peyton Anderson Endowed Chair, 2024 - present • Dean's Award for Outstanding Scholarship 2014, 2015, 2017, 2019,2022 • Dean's Award for Outstanding Service 2014, 2018, 2019, 2020, 2021 • Dean's Award for Outstanding Teaching 2015, 2018 |
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