Valerie Sessions
Affiliate Professor
Department(s)
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Cybersecurity, Bachelor of Technology (BT), Computer Science, Bachelor of Technology (BT), Cybersecurity, College of Science and Mathematics, Master of Science in Computer Science (MS), Master of Science in Information Technology (MSIT)Credentials
Doctor of Philosophy, Department of Computer Science and Engineering, University of South Carolina, December 2006.
Dissertation: Incorporating Data Set Quality Assessments into Learning Algorithms for Bayesian Networks. Advisor: Dr. Marco Valtorta
Master of Science, Computer and Information Science, University of Charleston/The Citadel. December 2002.
Bachelor of Science, Computer Science, College of Charleston. Minor in Physics, Minor in Mathematics. May 2001.
Education Coursework (18 hours), Charleston Southern University
COMPTIA Security+ Certification August 24, 2021.
Project Management Institute (PMI) Agile certification. December 1, 2022.
Systems Security Engineering-Capabilities Maturity Model (SSE-CMM) Appraiser for the International Systems Security Engineering Association (ISSEA) 2018-Present
About Valerie Sessions
Valerie Sessions serves as an Affiliate Professor at Charleston Southern University, supporting data mining and creative teamwork courses, as well as accreditation efforts for computer science and engineering programs. She is also employed by the Navy Information Warfare Center (NIWC) Atlantic as a computer scientist, where her recent work includes collaboration with the Chief Digital and Artificial Intelligence Office (CDAO) in support of AFRICOM initiatives. Her research interests include AI solutions for Electronic Security Systems (ESS) and video analytics, as well as data quality and video management systems. Dr. Sessions earned her Ph.D. in Computer Science and Engineering from the University of South Carolina. She serves on the boards of Charleston Women in Tech, Women in Industry Day (WIID), and the Palmetto Roost.
"I go the extra mile by giving students the space to thrive and rise to lead—not just in technology and engineering, but in all aspects of their work and lives as servant leaders. I love seeing what God does through their creativity and leadership when they apply what they’ve learned and use their skills to make a real impact."
Recent Scholarly Work & Publications
Sessions, V., J. Grieves, and S. Perrine. A Classification Algorithm Utilizing the Lempel-Ziv Complexity Score for Missing Data. Proceedings of the 2nd International Conference on Innovations in Computing Research. Madrid, Spain. September 2023.
Sessions, V., T. Boone, and S. Phillips. Upgrading the Network: How an Infrastructure Upgrade Led to a more Connected Faculty and Staff. CCCU International Forum. Dallas, Texas. January 2018.
Sessions, V. and S. Perrine and J. Greives. A Technique for Incorporating Data Missing Not at Random (MNAR) into Bayesian Networks. Proceedings of the 21st International Conference on Information Quality, 2016. Ciudad Real, Spain.
Sessions, V. and S. Perrine. Methods for Adjusting Expected Value of Information (EVPI) Under Situations of Data Missing Not at Random (MNAR). Proceedings of the 18th International Conference on Information Quality, 2013. 189-200.
Sessions, V and M. Havens. On the Design Of Mobile Form Input Apps that Incorporate Data Quality Best Practices (Poster Session). Proceedings of the 18th Americas Conference on Information Systems. August 9-11th.
Sessions, V. and C. Nuhn. A Discussion of Methods for the Detection of Errors in a Power Law Distribution. Proceedings of the 13th Annual International Conference on Information Quality. November 12-14, 2010.
Sessions, V. and M. Valtorta. Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm. Journal of Data and Information Quality (JDIQ). Vol 1 Issue 3. December 2009.
Sessions, V. Employing the TDQM Methodology for Law Enforcement: An Assessment of the SC Sex Offender Registry. The Proceedings of the 12th International Conference of Information Quality. 2007. 519-537.
Sessions, V. and M. Valtorta. The Effects of Data Quality on Machine Learning Algorithms. The Proceedings of the 11th International Conference on Information Quality. 2006. 485-498.