Dr. Minjun Kim

Visiting Assistant Professor, Management, Information Systems & Analytics (MISA)

Minjun Kim is a SUNY Plattsburgh alum who graduated with a B.A. in Economics in 2014. He earned his Ph.D. in Systems Science, specializing in Network Science and Complex Systems, from SUNY Binghamton in 2024. During his Ph.D. program, Minjun began his professional career at an early-stage startup focused on conversational AI. He played a key role in developing AI-driven contact centers, reducing customer support costs for major brands such as Verizon, HBO, Oral-B, and others. His work involved building AI systems from the ground up using machine learning technologies, enhancing the firm’s intellectual property, and bringing their products to market.

After exiting the startup, Minjun transitioned to consulting in the analytics and cognitive division, where he led AI projects that delivered innovative solutions and improved operational efficiency for global enterprises. In addition to his consulting work, he has returned to SUNY Plattsburgh as a visiting assistant professor, teaching management information systems and analytics courses while mentoring the next generation of data professionals.

Education
- Ph.D. in Systems Science, State University of New York at Binghamton
- B.A. in Economics, State University of New York at Plattsburgh
Teaching Areas
- Data analytics
Research Areas
- Network scientific approaches to business applications
Recent Publications
- Generation and influence of eccentric ideas on social networks. Scientific Reports 13, 20433 (2023). doi: 10.1038/s41598-023-47823-0
- Visualizing Collective Idea Generation and Innovation Processes in Social Networks. IEEE Transactions on Computational Social Systems, vol. 10, no. 5, pp. 2234-2243, Oct. (2023). doi: 10.1109/TCSS.2022.3184628
- The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection. Proceedings of NetSci-X (2020): Sixth International Winter School and Conference on Network Science. NetSci-X 2020. Springer Proceedings in Complexity. Springer. doi: 10.1007/978-3-030-38965-9_16
- Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization. Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas. CSSSA 2020. Springer Proceedings in Complexity. Springer. doi: 10.1007/978-3-030-77517-9_20
- Predicting stock market movements using network science: an information theoretic approach. Appl Netw Sci 2, 35 (2017). doi: 10.1007/s41109-017-0055-y
- Systems and methods for navigating nodes in channel based chatbots using natural language understanding. US Patent number 10659403. (2020).