Dr. Dae Wook (Wooky) Kim
Assistant Professor of Computer Information Sciences; Director, Computer Information Systems Program
School:
School of Arts, Sciences, and Education
Department:
Department of Mathematics, Computer Science, & Physics
Office Location:
Jeffries Hall 136
Office Hours:
- Monday: 1:50 – 2:50 pm (in office)
- Tuesday and Thursday: 10:00 am – 11:00 am (in office)
- Friday: 10:00 – 12:00 pm (online)
- Additional by appointment
Educational Background
- Ph.D. in Computer Science & Engineering (2017), Wright State University, Dayton, OH
- Dissertation: Data-Driven Network-Centric Threat Assessment
- M.S. in Computer Science (2007), Syracuse University, Syracuse, NY
- B.S. in Computer Science & Engineering (2003), Michigan State University, East Lansing, MI
Professional Experience
- Assistant Professor of Computer Information Science (September 2024 – Current)
- Georgian Court University, Lakewood, NJ
- Assistant Professor of Computer Science (2023 – May 2024)
- Vaughn College of Aeronautics and Technology, Flushing, NY
- Assistant Professor of Computer Science (2022 – 2023)
- Governors State University, University Park, IL
- Assistant Professor of Computer Science (2017 – 2022)
- Eastern Kentucky University, Richmond, KY
Research / Creativity Interest Area
Research Area
- Machine Learning
- Cybersecurity
- Data Science and Analytics
- Trevor Rice, Dae Wook Kim, Mengkun Yang, “Developing a GUI Application: GPU-Accelerated Malicious Domain Detection”, Proceedings of the 2023 ACM Southeast Conference (Acceptance rate: 45%).
- Eun Hee Ko, Dae Wook Kim, and Gosu Kim “Influence of Emojis on User Engagement in Brand-Related User Generated Contents”, Computers in Human Behavior 136 (2022): 107387 (Impact Factor: 8.957).
- Yu Li, Xiaotian Wang, Dae Wook Kim, Junjie Zhang, and Rui Dai, “Designing Self-Destructing Wireless Sensors With Security and Performance Assurance”, Computer Networks 141 (2018): 44-56 (Impact Factor: 5.493).
- Yu Li, DaeWook Kim, Junjie Zhang, and Derek Doran, “Detecting Suspicious Members in An Online Emotional Support Service”, In International Conference on Security and Privacy in Communication Systems, pp. 22-42. Springer, Cham, 2018 (Acceptance rate: 33/108 = 30.5%).
- Dae Wook Kim and Junjie Zhang, “Deriving and Measuring DNS-Based Fingerprints”, Journal of Information Security and Applications 36 (2017): 32-42 (Impact Factor: 4.96).
- Mingxuan Sun, Guangyue Xu, Junjie Zhang, and Dae Wook Kim, “Tracking You through DNS Traffic: Linking User Sessions by Clustering with Dirichlet Mixture Model”, In Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, pp. 303-310. ACM, 2017 (Acceptance rate: 27%).
- Yadong Zhou, Dae Wook Kim, Junjie Zhang, Lili Liu, Huan Jin, Hongbo Jin, and Ting Liu, “Pro-Guard: Detecting Malicious Accounts in Social-Network-Based Online Promotions”, IEEE Access (2017): 1990-1999. (Impact Factor: 3.476).
- Dae Wook Kim and Junjie Zhang, “You Are How You Query: Deriving Behavioral Fingerprints from DNS Traffic”, In International Conference on Security and Privacy in Communication Systems, pp. 348-366. Springer, Cham, 2015 (Acceptance rate: 30/108 = 27.7%).
- Dae Wook Kim, Peiying Yan, and Junjie Zhang, “Detecting fake anti-virus software distribution webpages”, Computers & Security 49 (2015): 95-106 (Impact Factor: 5.105).
- Dae Wook Kim and Mehmet M. Dalkilic, “Analysis of Proximity Networks from Multiple Mobile Sensor Data”, International Journal of Future Computer and Communication 2, no. 3 (2013): 155 (Impact Factor: 0.9).
- Eun-Jeong Ko, Dae Wook Kim, Eun Hee Ko, “Social and Commercial Values in Loan Narratives: Reinforcing Value Power Through Emotional Intensity”, the GRCME, New Brunswick, New Jersey, August 7, 2024.
- Trevor Rice, Dae Wook Kim, Mengkun Yang, “Developing a GUI Application: GPU-Accelerated Malicious Domain Detection”, the ACM Southeast conference, Richmond, Kentucky, April 13, 2023.
- Aaron Lin, Bailey Marlow, Alex Dixon, and Dae Wook Kim, “USA Used Car Price Prediction Using Machine Learning”, the 20th Posters-at-the-Capitol, Frankfort, Kentucky, March 3, 2022.
- Dae Wook Kim, “EKU: Artificial Intelligence in Data Science Program”, Virtual Career Fair, Berea College, KY, November 16, 2021.
- Collin Crowthers, John Booker, and Dae Wook Kim, “Using Machine Learning for Predicting Customer Engagement on Social Media”, the 107th Kentucky Academy of Science Virtual Annual Meeting, November 5-6, 2021.
- Alex Dixon and Dae Wook Kim and Eun Hee Ko, “Efficient Clustering for User’s Brand Sentiments Analysis on Online Social Media”, 54th National Collegiate Honors Council (NCHC) Annual Conference, New Orleans, Louisiana, November 8, 2019.
- Dae Wook Kim, “Spam Filtering using Machine Learning”, Kentucky HTCIA Meeting, Kentucky State Police Electronic Crime Branch, Frankfort, KY, June 28, 2018.
- Dae Wook Kim, “You Are How You Query: Deriving Behavioral Fingerprints from DNS Traffic”, 11th EAI International Conference on Security and Privacy in Communication Networks, Dallas, TX, October 28, 2015.
Additional Information
Grant Awarded
- Georgian Court University Faculty Mini Grant ($453.90), November 2024