Dr. Byunggu Yu is a distinguished professor in the Department of Computer Science and Information Technology at the University of the District of Columbia, specializing in databases, data engineering, artificial intelligence, and artificial consciousness, with a rich history of leadership in academic and research initiatives, including a faculty appointment at the National Institute of Standards and Technology and groundbreaking work in AI and environmental monitoring.
Experience
Education
Doctor of Philosophy in Computer Science, Illinois Institute of Technology
Roles
Professor, Department of Computer Science and Information Technology, 2007-Present Faculty Appointee, National Institute of Standards and Technology, 2013-18 Chair, Department of Computer Science and Information Technology, 2008-14
Courses Taught
Database Systems Design Principle of Database Systems ST: Data Engineering ST: Quantum Computing ST: Artificial Consciousness Advanced Database Systems Research Thesis/Dissertation Master’s Thesis and Project Senior Projects I and II
Expertise
Curriculum development; program management; project development
Research Focus / Works in Progress
Databases; data engineering; data science; artificial intelligence; artificial consciousness
Leadership
Faculty Appointee, National Institute of Standards and Technology, Faculty Appointee, 2013-18 Chair, Department of Computer Science and Information Technology, UDC, 2008-14
Jang, K., Kim, J., & Yu, B. (2021). On analyzing churn prediction in mobile games. In Proceedings of The ACM International Conference on Machine Learning Tech https://doi.org/10.48550/arXiv.2104.05554.
Selected Presentations
Yu, B., & Kim, J. (2024). Personality of AI. The 23rd International Conference on Artificial Intelligence and Soft Computing.
Wendt, V., Yu, B., Kelly, C., & Kim, J. (2024). Knee or ROC. The 23rd International Conference on Artificial Intelligence and Soft Computing.
Yu, B., & Kim, J. (2021).Using a neural network to detect anomalies given N-gram profile.International Symposium on Cyber Security Cryptology and Machine Learning, Be'er Sheva, Israel.
Selected Grants
United States Air Force. (2023). Adversarial perturbation filters for survivable aritifical intelligence. National Science Foundation. (2015). Automation and optimization of aquaponics for urban food production. National Science Foundation. (2009). Collaborative research: A partnership for developing the IA workforce. National Science Foundation. (2009). Environmental urban runoff monitoring.
