Dr. Charles Edeki has a Ph.D. in Information Technology, his specialty is Data Mining, Statistical Learning, and Bioinformatics, his dissertation topic was “A Comparative Study of Data Mining and Statistical Learning Techniques for Prediction of Cancer Survivability”. Dr. Edeki is a qualified and experienced Computer Science, Statistics, and Math Instructor with a research interest in Bioinformatics, Data Mining, and Statistical Learning Algorithms. He started his teaching career in 1999 as a Tutor at Hawaii Pacific University in Honolulu – Hawaii after separating from the US Army and since then, teaching has been his profession. He has taught and is still teaching undergraduate and graduate level courses, such as Introduction to Computing, Python, C++, Java programming languages, JavaScript, operating system, programming language concepts, calculus 1 and II, college algebra and statistics, graduate level data structure and algorithms, statistics, data mining, data science, software engineering, database management system courses. He has served as a dissertation committee member at University of the Cumberlands Ph.D. in IT program.

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