Bryson Payne
Papers
3
Total Citations
321
H-Index
2
About
Bryson Payne is a leading researcher at the intersection of artificial intelligence, cybersecurity education, and computational pedagogy. His most influential work, an extensive 2020 study on artificial intelligence within the interplay between natural and artificial computation, has garnered over 312 citations. This landmark paper explores how machine and deep learning are reshaping society across the economy, education, and lifestyle, positioning Payne as a key voice in the data science revolution. Beyond AI, Payne is deeply committed to broadening participation in computing. His 2017 paper on teaching Python to middle-school students in rural Georgia—despite its modest 7 citations—reflects his hands-on approach to addressing the predicted 8 million IT job openings, including 1 million in cybersecurity. Payne further innovated in cybersecurity education with his 2018 work on "GenCyberScrum," a modified Scrum framework that empowers students to self-manage their learning goals within the NSA-NSF GenCyber program. Through this blend of high-impact theoretical contributions and practical, student-centered initiatives, Payne demonstrates a rare ability to advance both the science of AI and the art of teaching it to the next generation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Learning to Program in Python – by Teaching It!7 citations · 2017
- 3