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Systems research on the performance, reliability, and security of kernel, middleware, n-tier, and microservices. Data management research on the data quality and integrity of structured, semi-structured, and unstructured data. Big data analytics research on the integration of heterogeneous data sets with a range of variety and veracity properties.
Teaching Real-Time Embedded Systems and Introduction to Enterprise Computing. Technical focus on the Principles of Conservation of Money and Conservation of QoS (quality of service) in both enterprise IT and real-time embedded systems. Additional goal of autonomous learning with skills to help students succeed and thrive in our rapidly evolving technological environment.
Calton Pu, Mirae Kim, Teresa Derrick-Mills, and Lewis Faulk. "Challenges and Experiences in Data Integration to Support Research on Nonprofit Organizations.” ACM Transactions on Internet Technologies (TOIT), vol. 25, issue 3, 2025.
Calton Pu, and Lewis Faulk, “Collaborative Research on Nonprofits: Broadening Knowledge with New Data Management”. 2025 IEEE Conference on Collaboration and Internet Computing (CIC 2025).
Calton Pu, Anmol Agarwal, Tianyu Chen, and Lewis Faulk, “Information Integration in Social Science Research: Advances with LLMs in the NAIP Project”. 2025 IEEE Conference on Information Reuse and Integration (IRI 2025).
Q. Wang, X. Gu and C. Pu, "A Study of Response Time Instability of Microservices at High Resource Utilization in the Cloud." 2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI 2024).