Contact

Phone: 470-578-7243

Email: rjone318@kennesaw.edu

Office Location: M 108

Office Hours:
Mondays 2:00 PM and 6:30 PM Tuesdays 2:00 PM and 7:30 PM

Research

 

Jones, R. (2024, November). Revolutionizing Cybersecurity with Deep Learning: Securing NLP Models and IoT Environments. Capitol Technology University. Laurel, MD

Jones, R. (2023, October). Harnessing the Power and Speed of Machine Learning to Advance Cybersecurity. Capitol Technology University. Laurel, MD.

Jones, R. (2016, June). The Role of Telecommuting in the Information Technology Industry and Work-Life Balance: A Multiple Case Study. National University, San Diego, Ca.

University of Havana, Study Abroad, Havana, Cuba 2014; Northcentral University PhD, Coalition for Research to Practice

Universidad Autónoma de Coahuila Oficial, Cultural Study Abroad, Saltillo, Mexico 1994; Grambling State University Study abroad Spanish cultural of Mexicans

Publications 

Jones, R. K. & Jones, J. A. (2026). AI and the Future of Teacher Certification and Credentialing. In H. Zangana, C. Nobles, & M. Omar (Eds.), Harnessing AI for Teacher Support and Professional Development (pp. 317-352). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-5951-9.ch010

Jones, R. K. (2026). Virtual Mentorship and AI-Powered Peer Learning Networks. In H. Zangana, C. Nobles, & M. Omar (Eds.), Harnessing AI for Teacher Support and Professional Development (pp. 33-66). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-5951-9.ch002

Jones, R. K. (2026). The Future of Autonomous Forensic Agents and AI-Augmented Investigators. In H. Zangana, J. & M. Omar (Eds.), AI in Digital Forensics and Cybercrime Investigation: Methods, Ethics, and Emerging Technologies (p.30). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-6536-7.ch010

Jones, R. K. (2026). Digital Twin Technology in Simulating Cybercrime Scenarios. In H. Zangana, J. & M. Omar (Eds.), AI in Digital Forensics and Cybercrime Investigation: Methods, Ethics, and Emerging Technologies (p.24). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-6536-7.ch004

Jones, R. K. (2025). Policy Implications of Gene Editing and Biotechnology Regulation. In H. Zangana, J. Al-Karaki, & M. Omar (Eds.), Navigating Law and Policy in STM Enterprises: Ethical Governance, Regulation, and Innovation Strategy (pp. 317-350). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-4862-9.ch012

Jones, R., (2025).Advanced Defense Techniques : Beyond Traditional Security MeasuresIn H Zangana (Ed.),Defense in Depth: Modern Cybersecurity Strategies and Evolving Threats(pp.153-177). Wiley-IEEE PressISBN: 978-1-394-34072-9

Jones, R, (2025). Source Code Analysis With Deep Neural Networks in M Omar & H Zangana & D.Mohammed (Eds.), Integrating Artificial Intelligence Cybersecurity and Forensic Practices   (pp.355-378). IGI Global  DOI: 10.4018/979-8-3373-0558-2.ch012

Jones, R, (2025). Techniques and Approaches for Leveraging LLMs in Security Analysis  in M Omar & H Zangana (Eds.), Application of Large Language Models (LLMs) for Software Vulnerability Detection  (pp. 75-104), IGI Global DOI: 10.4018/979-8-3693-9311-6.ch003 

Jones, R, (2025). Integration of LLMs With Traditional Security Tools in M Omar & H Zangana        (Eds.), Application of Large Language Models (LLMs) for Software Vulnerability Detection  (pp.295-334) IGI Global DOI: 10.4018/979-8-3693-9311-6.ch008

Jones, R., (2025). Malware Analysis and Classification Using Deep Learning in Models H Zangana & J AI-Karari & M Omar (Eds.), Revolutionizing Cybersecurity With Deep Learning and Large Language (pp.165-200) IGI Global DOI: 10.4018/979-8-3373-3296-3.ch006

Jones, R., (2025). AI Automated Incident Response and Threat Mitigation Using AI in Models H Zangana & J AI-Karari & M Omar (Eds.), Revolutionizing Cybersecurity With Deep Learning and Large Language (pp.201-236) IGI Global DOI: 10.4018/979-8-3373-3296-3.ch007

Jones, R. K. (2025). Algorithmic Bias and Fairness in Biomedical and Health Research. In H. Zangana & M. Omar (Eds.), Ensuring Secure and Ethical STM Research in the AI Era (pp. 287-324). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-4252-8.ch008

Jones, R., Omar, M, (2024). Codeguard Utilizing Advanced Pattern Recognition In Language Models Land Forces Academy Review Land Forces Academy Review 29(1):108-118 DOI: 10.2478/raft-2024-0011

Jones, R., Omar, M., Mohammed, D., Nobles, C., Dawson, M. (2023).IoT Malware Detection with GPT Models 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)    DOI: 10.1109/CSCE60160.2023.00288

Jones, R, (2024). Redefining Security with Cyber AI in M Omar & H Zangana (Eds.)  Enhancing IoT Security Leveraging Advanced Deep Learning Architectures in Proactive Botnet Detection and Network Resilience (P.16) IGI Global  DOI: 10.4018/979-8-3693-6517-5.ch004

Rongxuan Song† , Jun Wu∗†, Qianqian Pan, Muhammad Imran, Niddal Naser, Rebet Jones, Christos Verikoukis  "Zero-Trust Empowered Decentralized Security Defense against Poisoning Attacks in SL-IoT: Joint Distance-Accuracy Detection Approach," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 2766-2771, DOI: 10.1109/GLOBECOM54140.2023.10437789

Jones, R., Omar, M, (2024). Revolutionizing Cybersecurity: The GPT-2 Enhanced Attack Detection and Defense (GEADD) Method for Zero-Day Threats DOI: https://doi.org/10.34010/injiiscom.v5i2.12741

Omar, M., Jones, R., Burrell, D. N., Dawson, M., Nobles, C., Mohammed, D., & Bashir, A. K. (2023). Harnessing the Power and Simplicity of Decision Trees to Detect IoT Malware. In D. Burrell (Ed.), Transformational Interventions for Business, Technology, and Healthcare (pp. 215-229). IGI Global Scientific DOI: 10.4018/979-8-3693-1634-4.ch013 

Jones, R, (2024). Beyond Traditional Learning: Leveraging BERT for Enhanced Android Malware Detection, in D. Burrell(Ed.), Multisector Insights in Healthcare, Social Sciences, Society, and Technology (pp.208-228). IGI Global DOI: 10.4018/979-8-3693-3226-9

Jones, R, (2024). The Impact of AI on Secure Cloud Computing: Opportunities and ChallengesThe Indonesian Journal of Computer Science  13(4):108-118 DOI: https://doi.org/10.33022/ijcs.v13i4.4383

Jones, R., & Omar, M., (2023). Detecting IoT Malware with Knowledge Distillation Technique 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)                              DOI 10.1109/CSCE60160.2023.00026

Jones, R., Omar, M., Mohammed, D., Dawson, M. (2023). Harnessing the Power of GPT Model to Generate Adversarial. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) DOI 10.1109/CSCE60160.2023.00279

Jones, R., Omar, M., Mohammed, D., Nobles, C., Dawson, M. (2023).Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity. 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) DOI 10.1109/CSCE60160.2023.00074
 

 

 

 




©