Matthew Hudnall

  • December 17th, 2018
Matthew Hudnall
Experts, Faculty, ISM, MIS Ph.D Faculty, Primary Personnel
Department:Information Systems, Statistics and Management Science
Title:Associate Director of the Institute of Business Analytics
Building:Bidgood Hall
Education:Ph.D., Computer Science, University of Alabama
M.S., Computer Science, University of Alabama
B.S., Mathematics, Troy University


Business, Cyber, Cybersecurity

Focus and Current Research

Matthew Hudnall has worked for the past 16 years as the deputy director for the center of
advanced public safety at the University of Alabama. He is now an assistant director in the
Culverhouse Institute of Business Analytics.

Dr. Hudnall’s research focuses on large-scale government decision support systems, cyber
security of state and federal government systems and integration of cybersecurity from project
inception through development and into production, as well as the development of new and
innovative data analytics approaches to legacy data collection systems.

Honors Achievements & Affiliations

Traffic Records Forum Best Practices Award – 2016

National Highway Traffic Safety Administration (NHTSA) Subject Matter Expert (SME) &
Traffic Records Assessor for Vehicle and Driver systems for the states of Ohio,
Minnesota, Colorado, Florida, Missouri, Pennsylvania, Illinois, New Mexico, and
Connecticut, Kentucky

Voting member of the Global Justice Information Sharing Initiative’s Federated ID &
Privilege Management Team

ACM CSEC (Association for Computing Machinery - Computer Science Education
Coalition) 2017 Data Security Committee Member

Selected Publications

Hudnall, M, Parrish, A., Vrbsky, S. (2017) “MailTrust – Attribute-Based Dynamic
Encrypted Email”, Proc. IEEE 2017 International Conference on Technologies for
Homeland Security, IEEE.

M. York, M. Hudnall, and K. G. Ricks, “Advanced Mobile Applications for Law
Enforcement,” International Journal of Computers and Applications, vol. 20, no. 2, pp.
127–136, 2013.

Mitchell, M, Hudnall, M., Brown, D., Cordes, D., Smith, R., Parrish, A. (2007) “A host
architecture for automobile license plate recognition”, Intelligence and Security
Informatics, IEEE, DOI: 10.1109/ISI.2007.379539