Dwight Horne

Software Engineering Manager, L3 Technologies
RHorne@smu.edu
linkedin.com/in/dwighthorne

Education

PhD Candidate, Computer Science, SMU
MS Security Engineering, SMU, 2010
MS Computer Science, Baylor University, 2004
BS Computer Science, Baylor University, 2002

Research Interests

Privacy enhanced technologies
Software security
Computer system security
Network security
Information assurance
Machine learning
Predictive analytics
Software engineering
HCI and the user experience
Software intellectual property, legal, and economic issues
Software process and quantitative methods

Awards

Outstanding Executive Student Award, Computer Science and Engineering, SMU
Outstanding Graduate Assistant Award, Computer Science, Baylor University
Top Star Individual Award for Exceptional Performance, L3 Technologies
Multiple “On the Spot” Awards, L3 Technologies
Multiple Achievement Awards, L3 Technologies

Research Experience/Projects

“The Prom Problem: Fair and Privacy Enhanced Matchmaking with Identity Linked Wishes”, PhD Dissertation
“Evaluating the Feasibility of Brain Wave Patterns as Physically Unclonable Functions (PUFs)”, Research Project
“A Comprehensive Analysis of PDF Reader Reliability via Fuzz Testing”, Research Project
“Quantum Cryptography – Can ‘spooky action at a distance’ yield unconditional security?”, Research Project
“An Analysis of Machine Learning Algorithms for Authentication of Online Conversations Based on Keyboard Dynamics and Language Metrics”, Research Project
“TexasBorderWatch@Home – Improving the Scalability of Texas Virtual BorderWatch℠ with Motion Detection Algorithms and Volunteer Computing”, Research Project
“Virtualization Security and Fault Tolerance: A Survey of the State-of-the-Art and Research Challenges”, Research Project
“Exploring Scalability with Shared Resources in the Multicore Era: Is the Future Lock Free?”, Research Project
“Evaluating the Effectiveness and Practicality of Using Design Metrics as Indicators of Software Security”, Research Project
“Integration of Security into the Computer Science Curriculum: The Time to Begin was Yesterday”, Research Project
“Exploring the Potential of Speech Recognition to Improve Efficiency in the Workplace”, MS Thesis

Professional Experience

Software Engineering Manager, L3 Technologies, 2014-Present
Senior Software Engineer, L3 Technologies, 2010-2014
Software Engineer I and II, L3 Technologies, 2004-2010
Teaching Assistant/Research Assistant, Baylor University, 2001-2004
Contractor, SEO and Web Development, CAD/CAM Services, Inc., 2001-2002
Network Technician, Resnet Network Team, Baylor University, 2001
Systems Management Intern, PepsiCo Business Solutions Group, 2001

Teaching Experience

Introduction to Unit Testing, L3 Technologies, 2010-2015
Practical C++11, Co-taught, L3 Technologies, 2012-2013
Led Work Study Groups, L3 Technologies, 2006-2014, including:
Fostering Innovation
xUnit Test Patterns
Software Defect Prevention
Innovative Leadership
C# for C++ Developers
Patterns for Parallel Programming
Contributed 1+ Sessions to Work Study Groups on Interface Oriented Design and Effective Java, L3 Technologies, 2007-2015
Teaching Assistant / Research Assistant, Baylor University, 2001-2004, courses included:
Principles of Software Design
Survey of Programming Languages
Introduction to Computer Science II
Foundations of Computing
Computer Programming Teacher, University for Young People (UYP), Baylor University, 2003

Articles/Publications

D. Horne and S. Nair, “Toward a Quantum Resistant SecretMatch™ Privacy Enhanced Technology – A Case Study”, In Proceedings of the 2019 International Conference on Security and Management, 2019.

D. Horne and S. Nair, “A New Privacy-Enhanced Technology for Fair Matchmaking with Identity Linked Wishes”, IEEE Systems Journal, IEEE, 2019.

D. Horne and S. Nair, “Privacy-Enhanced and Fair Matchmaking System – Applications and Analysis of Protocol, Architecture, and Performance”, In Proceedings of the 2017 International Conference on Security and Management (SAM 2017), CSREA Press.

D. Horne and S. Nair, “A Feasibility Evaluation of Privacy-Enhanced Matchmaking with Identity Linked Wishes”, In Proceedings of the 22nd Australasian Conference on Information Security and Privacy (ACISP 2017), Part II, LNCS 10343.

D. Horne and S. Nair, “The Prom Problem: Fair and Privacy-Enhanced Matchmaking with Identity Linked Wishes“, In Proceedings of the 2016 IEEE International Carnahan Conference on Security Technology (ICCST 2016), IEEE.

S. Nair and D. Horne, “METHOD AND SYSTEM FOR PRIVACY PRESERVING DISCLOSURE OF A SHARED, IDENTITY LINKED SECRET”, United State Patent Application, October 2016.

D. Horne, “Permissions”, article in Encyclopedia of cryptography and security, HCA Van Tilborg and S. Jajodia eds., Springer Science & Business Media, 2011.

D. Horne, “Hash Chain”, article in Encyclopedia of cryptography and security, HCA Van Tilborg and S. Jajodia eds., Springer Science & Business Media, 2011.