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Center for Innovation and Research in Computing (CIRC)

Center for Innovation and Research in Computing (CIRC)

Written by: School of Computing Southern Adventist University
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About this listen

Welcome to the podcast of the Center for Innovation in Research and Computing, brought to you by the School of Computing at Southern Adventist University. Join us as we explore cutting-edge research and insightful discussions that inspire innovation in technology and computing.

Learn about our scientific publications from a digestible perspective!

https://www.southern.edu/academics/computing/circ.html

https://www.southern.edu/academics/computing/

https://www.southern.eduCopyright Harvey Alférez, Ph.D.
Episodes
  • Machine Learning Classification of Fossilized Pectinodon bakkeri Teeth Images: Insights into Troodontid Theropod Dinosaur Morphology
    Aug 21 2025
    In this episode, we explore a paper published by Jacob Bahn, Prof. Harvey Alférez, and Prof. Keith Snyder entitled Machine Learning Classification of Fossilized Pectinodon bakkeri Teeth Images: Insights into Troodontid Theropod Dinosaur Morphology.

    Bahn, J., Alférez, G.H., & Snyder, K. (2025). Machine learning classification of fossilized Pectinodon bakkeri teeth images: insights into troodontid theropod dinosaur morphology. Machine Learning and Knowledge Extraction, 7(2). https://doi.org/10.3390/make7020045

    This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing.
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    13 mins
  • Performance Comparison of Operations in the File System and in Embedded Key-Value Databases
    Jun 27 2025
    In this episode, we explore a paper published by Jesse Hines, Nicholas Cunningham, and Prof. Harvey Alférez entitled Performance Comparison of Operations in the File System and in Embedded Key-Value Databases.

    Hines, J., Cunningham, N., Alférez, G.H. (2023). Performance Comparison of Operations in the File System and in Embedded Key-Value Databases. In: Arai, K. (eds) Intelligent Computing. SAI 2023. Lecture Notes in Networks and Systems, vol 739. Springer, Cham. https://doi.org/10.1007/978-3-031-37963-5_27

    This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing.
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    25 mins
  • Using AutoML to Analyze the Effect of Attendance and Seat Location on University Student Grades
    May 27 2025
    In this episode, we explore a paper published by Ac Hýbl and Prof. Harvey Alférez entitled Using AutoML to Analyze the Effect of Attendance and Seat Location on University Student Grades.

    Hýbl, A., Alférez, G.H. (2024). Using AutoML to Analyze the Effect of Attendance and Seat Location on University Student Grades. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2023. Lecture Notes in Networks and Systems, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-031-47721-8_42

    This podcast is brought to you by the School of Computing at Southern Adventist University. If you’re interested in exploring the world of computing, from software development to data science and beyond, visit southern.edu/computing.
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    12 mins
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