Gary Cantrell
(he/him/his)
Associate Teaching Professor
Education
- PhD in Computer Science, Mississippi State University
- MS in Computer Science, Mississippi State University
- BS in Computer Science, Mississippi State University
Biography
Gary Cantrell is an associate teaching professor at the Khoury College of Computer Sciences at Northeastern University. He earned his bachelor’s, master’s, and PhD degrees in computer science from Mississippi State University.
Cantrell has been published in many areas such as the 2019 International Conference on Computational Science and Computational Intelligence and the Journal of Digital Forensics.
Prior to joining Northeastern, he founded the Dixie State University Computer Crime lab and worked as a professor at Dixie State University and Southern Utah University. Cantrell also worked as a lab manager and primary instructor for the Mississippi State University Computer Crime Institute.
Recent publications
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The Five Levels of Data Destruction: A Paradigm for Introducing Data Recovery in a Computer Science Course
Citation: G. Cantrell and J. Runs Through, "The Five Levels of Data Destruction: A Paradigm for Introducing Data Recovery in a Computer Science Course," 2019 International Conference on Computational Science and Computational Intelligence (CSCI), 2019, pp. 133-138, doi: 10.1109/CSCI49370.2019.00029. -
Teaching Data Carving Using The Real World Problem of Text Message Extraction From Unstructured Mobile Device Data Dumps
Citation: Cantrell, Gary D., and Joan Runs Through. "Teaching Data Carving Using The Real World Problem of Text Message Extraction From Unstructured Mobile Device Data Dumps." Journal of Digital Forensics, Security and Law 14.4 (2020): 4. -
4 Year Comparison Of Undergraduate Students Provided Personal Laptop Computers: Initial Research
Citation: G. Cantrell and H. Aljafer, "4 Year Comparison of Undergraduate Students Provided Personal Laptop Computers: Initial Research," 2020 International Conference on Computational Science and Computational Intelligence (CSCI), 2020, pp. 948-952, doi: 10.1109/CSCI51800.2020.00176.