Dr. Sikha Bagui

  • Position:  Professor
  • Department:  Computer Science
  • Office Location:  Building 4, Room 227
  • Campus: 8504743022


Dr. Sikha Bagui, Professor, is a co-author of several books on SQL and Database Design. Her books have also been translated into several different languages and have international editions. Dr. Bagui has also published over 40 peer-reviewed publications. Her research areas can broadly be classified as database design, data mining and statistical computing. Bagui’s findings have been published in Pattern Recognition, International Journal of Data Warehousing and Mining, Data Science Journal, International Journal of Intelligent Information Technology and Database Systems, and more. Bagui, a UWF faculty member since 1999, has taught numerous courses, including Advanced Database Systems, Data Mining, Database Systems, Database Administration, Data Structures, Java Programming, and more.

Degrees & Institutions:

Ed.D., Curriculum & Instruction: Math & Stat / Science/ Computer Science, University of West Florida
M.B.A., University of Toledo
B.S., Cuttington University (Liberia)


My research interests are in the areas of database design and modeling, as well as data mining and statistical computing as applied to Big Data on the Hadoop system. In data mining, my primary area of concentration is on association rule mining, and pattern analysis in Big Data.

Classes Taught:

    • Database Systems
    • Data Mining
    • Database Administration
    • Advanced Database Systems
    • Seminar  in SOA
    • Java Programming
    • Data Structures and Algorithms
    • Visual Programming
    • Advanced Visual Programming
    • Systems Documentation
    • Multimedia Systems
    • Business Systems Design
    • Microcomputer Application Packages
    • Intro to Management Information Systems
    • COBOL I
    • COBOL II

Special Interests:

Big Data Analytics, Hadoop Optimization, Database Design, Data Mining


    Bagui, S., and Spratlin, S. (2017). A Review of Data Mining Algorithms on Hadoop’s MapReduce, International Journal of Data Science, in press.

    Bagui, S., Xingang, F., Kalaimmanan, E., Bagui, S., and *Sheehan, J. (2017). Comparison of Machine Learning Algorithms for classification of VPN and non-VPN Network Traffic Flow Using Time-Related Features, Journal of Cyber Security Technology, 1(2), 108-126.

    Bagui, S., Xingang F. and Bagui, S. (2017). "Improving Virtual Screening Predictive Accuracy of Human Kallikrein 5 inhibitors using Machine Learning Models, Computational Biology and Chemistry, 69, 110-119.

    Cox, A., Guzman, I., Crommer, K., Bagui, S. (2017). Virtual world, Virtual Reality, and Augmented Reality: Different Types, Different Users, Different Purchase Intentions, Journal of Virtual Worlds Research, 10(1), 1-21.

    Bagui, S. and *Devulapalli, K. (2018). A Comparison of Hive’s Optimization Techniques, International Journal of Big Data Intelligence (IJBDI), 5(4), 243-257.

Keywords: computer science, SQL, enhanced computer program comprehension, relational database, cosine-type measures, information systems, service-oriented architecture, database, data mining, statistical computing