معرفی
Dr. Greg Speegle serves as a Professor in the Department of Computer Science at Baylor University, where he teaches core courses including CSI 3335 (Introduction to Database Design) and CSI 5335 (Advanced Database) within the Online Master's in Computer Science program. His expertise anchors the program's database curriculum and contributes significantly to its academic rigor.
His educational foundation includes a Ph.D. in Computer Science from The University of Texas at Austin (1990) and a Bachelor of Science from Baylor University (1984), establishing deep institutional and academic roots.
Dr. Speegle's research centers on database systems and big data analysis, with specialized focus on automatic integration of big data tools and query processing optimization. He leads two major initiatives: CT³ (Central Texas Computational Thinking, Coding and Tinkering), which trains public-school teachers to become certified computer science educators, and the development of a general parallelization theory to advance automated computation beyond MapReduce limitations. This dual focus bridges theoretical computer science with practical educational and industrial applications.
Analysis of his 2018-2025 publications reveals dominant research trajectories in distributed systems (particularly automated code parallelization), deep learning applications for biometric identification in agriculture, and innovative online regression techniques for streaming data. His work consistently addresses scalability challenges in data processing while expanding computational thinking education through teacher training initiatives.
While specific grant details remain undisclosed, his CT³ project demonstrates active engagement in K-12 computer science education reform. No information is available regarding student advising or laboratory facilities in the provided materials.
