Dr. Charles Edeki

Adjunct Professor
Dr. Charles Edeki

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.

PhD, Information Technology, Capella University, 2012
MS Computer Science, Long Island University, 2001
MS Bioinformatics, University of Maryland, 2015
MS Mathematics, Walden University, 2006
BS Liberal Arts, Excelsior College, 1998

Edeki, C. (2019). The Emerging Focus on Pharmacogenomics. International Journal of Biochemistry Research & Review, 27(2), 1-6. https://doi.org/10.9734/ijbcrr/2019/v27i230114
Prince, A. & Edeki, C. Usefulness of Agile Technique on Support Team. International Journal of Computer Science and Engineering, 2 (7), pages 5-8, 2015. ISSN: 2348-8387
Edeki, C. Real World Application of Data Mining: US Army Custom in Germany. International Journal of Computer Science and Engineering, 2 (6), pages 61-62, 2015. ISSN: 2348-8387.
Edeki, C. Automated User Interface Design for HEPA Filter Recertification. British Journal of Applied Science & Technology, 6(6), pages 652-656, 2015. DOI : 10.9734/BJAST/2015/15044. http://www.sciencedomain.org/issue.php?iid=769&id=5.
Datta, B. & Edeki, C. Object Oriented Applications: Integration, Quality Assurance, and Deployment. International Journal of Emerging Engineering Research and Technology, 2(9), pages 25-31, 2014.
Edeki, C. Biomedical Science: Animal testing in antibiotics production. International Journal of Research in Computer Application and Robotics, 2(7), pages 102-109, 2014.  http://ijrcar.com/Volume_2_Issue_7/v2i711.pdf
Edeki, C. Generating stem cells from non-embryonic tissue. International Journal of Research in Computer Application and Robotics, 2(6), pages 70-76, 2014.  http://ijrcar.com/Volume_2_Issue_6/v2i619.pdf
Edeki, C. Modularity and reuse. International Journal of Innovative Research in Science and Engineering, 2(5), pages 292-293, 2014.
Edeki, C. Telehealthcare: The impact of technology in medicine. International Journal of Research in Computer Application and Robotics, 2(3), pages 75-78, 2014. 
Edeki, C. Review of data mining process. Global Journal of Advanced Engineering Technologies, 2 (4), pages 310-313, 2013. http://www.gjaet.com/category/volume-2-issue-4/
Edeki, C. (2011). Classification of breast images cancer detection. In Proceedings of the IADIS Multi Conference on Computer Science and Information Systems, Rome, Italy, July 20-26, 2011.
Edeki, C. (2010). Data mining approach in reducing customer attrition.  Accepted by the 17th International Symposium on Mathematical Methods Applied to the Sciences.  February 16-19, 2010. The University of Costa Rica. San Jose, Costa Rica. By Dr. Javier Trejos (Chairman), javier.trejos [at] ucr.ac.cr.

  • Smart Computing
  • Data Analytics
  • Software Engineering

Contact

Office

Remote