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Research

Research. Education. Innovation. Security.

The Arizona Cybersecurity Academy does research where cybersecurity, artificial intelligence, and the human element meet. Our interest is in what happens when practitioners work alongside AI systems, and in how that changes the people, the processes, and the technology involved. That shapes what we study about the cybersecurity workforce: how people get into the field and how they develop once they are in it, from K-12 pathways and teacher preparation through university program design to the hands-on experience our cybersecurity clinics give students by serving communities and small businesses across Arizona. It also shapes our technical work on the systems that workforce will defend and use, including AI-driven security operations, vulnerability discovery, and the security of distributed AI in edge and critical environments.

Research by the Numbers

74
Publications

$3,324,178
Funding

7
Sponsors

Areas of Research

We conduct interdisciplinary research that explores:

  • Secure and trustworthy AI
  • Cyber defense
  • Cyber operations
  • Privacy
  • Resilience
  • Next-generation technologies

Arizona Cybersecurity Academy research translates cybersecurity innovation into practical solutions that protect people, organizations and communities.

2026

  • Xu, S., & Qian, Y. (2026). A Federated Trust Modeling Framework for Anomaly Detection in Zero Trust Edge Networks. ICC 2026 - IEEE International Conference on Communications, 1–6. https://doi.org/10.1109/ICC59461.2026.11587073 [UA access]
  • Tian, J., Xu, S., Gerstoft, P., Sarkar, M., Moore, A. A., Mercier, P., & Paolini, C. (2026). A Multi-Head Attention Transformer Model for Wearable In Situ Fall Detection. IEEE Access, 14, 85242–85262. https://doi.org/10.1109/ACCESS.2026.3697249 [UA access]
  • Ding, S., Xu, S., & Qian, Y. (2026, October 12). A Unified Collaborative Multi-Stage Defense Framework for Perception Inference. Proceedings of the IEEE Military Communications Conference (MILCOM). IEEE Military Communications Conference (MILCOM).
  • Xu, S., & Qian, Y. (2026). A Unified Federated Framework for Trust Management and Privacy-Preserving Anomaly Detection in Zero Trust Edge Networks. IEEE Journal of Selected Areas in Sensors, 3, 277–290. https://doi.org/10.1109/JSAS.2026.3709766 [UA access]
  • Saari, B., Berger, Y., Munoz, Y., Agnick, A., Wagner, P., & Honomichl, R. J. (2026). Adopting Artificial Intelligence: Cross-Sector Analysis of AI Adoption Risks. Journal of Cybersecurity Education, Research and Practice, 2026(1). https://doi.org/10.62915/2472-2707.1286 [UA access]
  • VanHoy, J., & Molinari, S. (with Straight, R.). (2026). AI Resilience: A Control Plane for Governing, Testing, and Proving Enterprise AI Survivability. Novella Publishers and BMC Professionals.
  • Xu, S., & Qian, Y. (2026, November). An enhanced dataset and benchmark suite for graph-based zero trust access classification. Proceedings of the IEEE Latin-American Conference on Communications (LATINCOM).
  • Wagner, P., & Honomichl, R. (2026). Applied Job Shadowing: Preparing High School Students for Cybersecurity Work Roles. INTED2026 Proceedings. 20th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2026.0068 [UA access]
  • Wagner, P., Honomichl, R., Beasley, C., Reid, T., Bradford, L., & Urbaszewski, A. (2026). Arizona’s CyberSupply: Identifying Gateway-to-Cybersecurity and Cybersecurity Courses and Pathways in Secondary Education. Cybersecurity Pedagogy and Practice Journal, 5(1), 41–51. https://doi.org/10.62273/qpfs6373 [UA access]
  • Wagner, P., Honomichl, R., & Xu, S. (2026). Bridging the Cybersecurity Skills Gap by Leveraging Cybersecurity Clinics: Developing the Arizona Cybersecurity Clinic. Cybersecurity Pedagogy and Practice Journal, 5(2), 4–33. https://doi.org/10.62273/vmfm4206 [UA access]
  • Chumley, E., Nair, A., Yaezenko, R., Payne, J., Kyles, V., Wagner, P., Honomichl, R. J., Straight, R., & Xu, S. (2026). Clinic-in-a-Box: A Portable, Software-Defined Cyber Range for Realistic, Scenario-Based Cybersecurity Training. Journal of Cybersecurity Education, Research and Practice, 2026(1), 1–16. https://doi.org/10.62915/2472-2707.1342 [UA access]
  • Wagner, P., & Honomichl, R. (2026). Clinic-in-a-Box: AI Generated Organizational Profiles for Scalable Cybersecurity Experiential Learning. NCAE-C Cyber Defense Track Proceedings. NCAE-C Cyber Defense (CD) Track. https://8505d155-f364-4b90-865e-959b0628f5da.usrfiles.com/ugd/8505d1_9e45d49080d142ae941ae6fdac82b871.pdf
  • Xu, S., & Qian, Y. (2026, November). Cross-domain robustness of trust-weighted aggregation in zero trust federated learning. Proceedings of the IEEE Latin-American Conference on Communications (LATINCOM).
  • Honomichl, R., & Wagner, P. (2026). Developing a Statewide Cybersecurity Education Community of Practice: Replicable Model for Expanding K-12 Cybersecurity Opportunities. INTED2026 Proceedings. 20th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2026.1004 [UA access]
  • Straight, R., & Herron, J. (2026). Distributed Agency in AI-Enhanced Cybersecurity Education: A Posthuman Instructional Design Framework. Journal of The Colloquium for Information Systems Security Education, 13(1), 7. https://doi.org/10.53735/cisse.v13i1.229 [UA access]
  • Xu, S., & Qian, Y. (2026). Federated Quantum Kernel Learning for Decentralized Anomaly Detection in Zero Trust Edge Networks. 2026 International Conference on Quantum Communications, Networking, and Computing (QCNC), 1053–1057. https://doi.org/10.1109/QCNC69040.2026.00161 [UA access]
  • Straight, R. M. (2026). Grey Areas and Egress: Artifact-Based Collaborative Learning in Cybersecurity Ethics. Prompt: A Journal of Academic Writing Assignments, 10(2). https://doi.org/10.31719/pjaw.v10i2.280 [UA access]
  • Gunawardena, C., Moushi, O. M., Xu, S., & Qian, Y. (2026, September 22). Hybrid Misbehavior Detection for V2X: Compact Grid Features and Reward-Driven Q-Learning Against False Position Reports. Proceedings of the IEEE International Conference on Cybersecurity and AI-Based Systems (Cyber-AI). IEEE International Conference on Cybersecurity and AI-Based Systems (Cyber-AI).
  • Mapp, W., Wagner, P., & Pauli, J. (2026). Identifying Technology and Cybersecurity Competencies for Aspiring C-Suite Executives. INTED2026 Proceedings. 20th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2026.1204 [UA access]
  • Wagner, P., Honomichl, R., Xu, S., Straight, R., & Xu, L. (2026). Integrating AI into Cyber Operations Education: Design and Validation of a CyberAI Undergraduate Program. INTED2026 Proceedings. 20th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2026.0372 [UA access]
  • Langdon, K., Nicol, S., Poehlman, D., Versluis, K., Wagner, P., & Xu, S. (2026, November 4). LLM Signal Compression in Cybersecurity Log Analysis: Evaluating Hybrid AI Agent Architectures for SOC Triage. Proceedings of the Information Systems and Computing Academic Professionals (ISCAP) Conference. Information Systems and Computing Academic Professionals (ISCAP) Conference.
  • Addis, R., Porter, K., Ryan, J., Stull, M., Xu, S., Wagner, P., Honomichl, R., & Forsyth, S. (2026). LLM-based Intelligent Agents for Cybersecurity: A Tutorial and Survey of Automated Vulnerability Discovery. IEEE Access, 14, 100884–100917. https://doi.org/10.1109/ACCESS.2026.3707573 [UA access]
  • Xu, S., & Qian, Y. (2026). Quantum-Inspired Trust Scoring for Zero Trust Security: Concepts, Models, and Research Directions. IEEE Network, 40(4), 94–101. https://doi.org/10.1109/MNET.2025.3636805 [UA access]
  • Xu, S., & Qian, Y. (2026, November). Robustness of trust-weighted aggregation under adaptive adversaries, scalability, and noisy trust in federated learning. Proceedings of the IEEE Latin-American Conference on Communications (LATINCOM).
  • Straight, R., & Escamilla, A. (2026). Semantic Technologies for Cybersecurity Education Competencies: JSON-LD Implementation of Distributed Learning Analytics. Cybersecurity Pedagogy and Practice Journal, 5(1), 79–103. https://doi.org/10.62273/SCRC1853 [UA access]
  • Tran, R., Zhang, Y., Tao, L., Yang, N., Xu, S., Yin, Y., Xu, S., Zhang, W., & Xu, H. (2026, November 22). Structured Authority Injection: Persistent Human Authority for LLM-based Agent Systems. Proceedings of the IEEE International Conference on Parallel and Distributed Systems (ICPADS). IEEE International Conference on Parallel and Distributed Systems (ICPADS).
  • Straight, R. (2026). Systematic AI-human collaboration for worldbuilding in cybersecurity education: a practice-based framework. Proceedings of EdMedia 2026, 1313–1329. https://www.learntechlib.org/p/2129766
  • Straight, R. (2026). Teaching Within the Assemblage: A Reflexive Inquiry into Posthuman Cybersecurity Pedagogy. In CHAPTERS In Education (Vol. 2, pp. 115–144). Springer Nature Switzerland. https://doi.org/10.1007/60490_2026_13 [UA access]
  • Zuo, F., Xu, S., Ma, X., Qu, X., & Li, X. (2026). The Impact of AI Advancement on Software Development Labor Market: Empirical Evidence from the United States. IFIP Advances in Information and Communication Technology, 196–208. https://doi.org/10.1007/978-3-032-30809-2_14 [UA access]
  • Straight, R., Wagner, P., Honomichl, R., & Xu, S. (2026). WIP: Clinic-In-A-Box: AI-Powered Stakeholder Simulation for Cybersecurity Education. Proceedings of the 56th IEEE Frontiers in Education Conference. IEEE Frontiers in Education. https://fie-conference.org/2026
  • Xu, S., & Qian, Y. (2026). Zero Trust Architecture for Edge AI Security: A Framework for Distributed Intelligence Protection. IEEE Communications Magazine, 1–10. https://doi.org/10.1109/MCOM.001.2500749 [UA access]
  • Xu, S., & Qian, Y. (2026, October 12). Zero Trust Federated Learning via Trust-Weighted Robust Aggregation. Proceedings of the IEEE Military Communications Conference (MILCOM). IEEE Military Communications Conference (MILCOM).

2025

  • Cordill, B., Fang, D., & Xu, S. (2025). A Comprehensive Survey of Security and Privacy in UAV Systems. IEEE Access, 13, 117843–117866. https://doi.org/10.1109/ACCESS.2025.3583985 [UA access]
  • Wagner, P., & Honomichl, R. (2025). Addressing the Critical Need for Experiential Learning within Cybersecurity Education. 2025 CAE in Cybersecurity Community Symposium, Cyber Defense Track Proceedings. 2025 CAE in Cybersecurity Community Symposium. https://131b1d64-a91b-4e72-9201-2d47ce0a189a.filesusr.com/ugd/eeb746_3d952ac09d53483db53a49b7cb327293.pdf
  • Grabowski, A., & Xu, S. (2025). Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection. Journal of Cybersecurity Education, Research and Practice, 2025(1), 25–36. https://doi.org/10.62915/2472-2707.1247 [UA access]
  • Kipers, J., Wagner, P., & Honomichl, R. J. (2025). Arizona’s Experiential Learning Opportunities: Regional Security Operations Centers and Cybersecurity Clinics. Journal of Cybersecurity Education, Research and Practice, 2025(1). https://doi.org/10.62915/2472-2707.1255 [UA access]
  • Wagner, P., Honomichl, R., Xu, S., & Mapp, E. (2025, November 5). Bridging the Cybersecurity Skills Gap by Leveraging Cybersecurity Clinics: Developing the Arizona Cybersecurity Clinic. Proceedings of the Information Systems and Computing Academic Professionals (ISCAP) Conference. Information Systems and Computing Academic Professionals (ISCAP) Conference. https://iscap.us/proceedings/2025/pdf/6391.pdf
  • McCully, G. A., Hastings, J. D., Xu, S., & Fortier, A. (2025). Comparing Unidirectional, Bidirectional, and Word2vec Models for Discovering Vulnerabilities in Compiled Lifted Code. 2025 13th International Symposium on Digital Forensics and Security (ISDFS), 1–6. https://doi.org/10.1109/ISDFS65363.2025.11012025 [UA access]
  • Straight, R. (2025). Cyber Dimensions: Immersive Case Studies Across Digital Domains (1st ed.). Kendall Hunt. https://he.kendallhunt.com/product/cyber-dimensions-immersive-case-studies-across-digital-domains
  • Straight, R. M. (2025). Cyber Dimensions: Open Educational Resource Toolkit (Version 1.0) [Computer software]. GitHub. https://github.com/ryanstraight/cyber-dimensions-oer
  • Kaza, S., Taylor, B., Wagner, P., Banik, S., El-Sheikh, E., Zaleppa, P., Hamman, S., Sajid, M. S. I., Levy, Y., Nestler, V., Samtani, S., & Tague, P. (2025). CyberAI: Knowledge Area Frameworks for Cybersecurity Programs in the Age of Artificial Intelligence. Proceedings of the 26th ACM Annual Conference on Cybersecurity & Information Technology Education, 24–28. https://doi.org/10.1145/3769694.3771142 [UA access]
  • Wagner, P., & Barton, C. (2025). Cybersecurity Apprenticeships: Case-Study of a Four-Year Youth Apprenticeship Program. Cybersecurity Pedagogy and Practice Journal, 4(1), 13–23. https://doi.org/10.62273/uqkc5113 [UA access]
  • Honomichl, R., & Wagner, P. (2025). Developing Critical Industry Skills through Integration of Risk Assessment Curriculum in High School Career and Technical Education Courses. INTED2025 Proceedings. 19th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2025.0610 [UA access]
  • Xu, S., & Qian, Y. (2025). Dynamic Trust Scoring for Zero Trust at the Edge: A Multi-Factor, Context-Aware Approach. 2025 IEEE Conference on Communications and Network Security (CNS), 1–6. https://doi.org/10.1109/CNS66487.2025.11195044 [UA access]
  • VanHoy, J. (2025). Employee and Employer Perceptions Regarding Cybersecurity Education During the Hiring Process [PhD dissertation]. Dakota State University.
  • Hartono, D., Fang, D., & Xu, S. (2025). ENIDSGAN: An Efficient GAN-Based Framework for Adversarial Robustness Evaluation in ML-Based Network Intrusion Detection Systems. 2025 IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 528–533. https://doi.org/10.1109/AIoT66900.2025.00080 [UA access]
  • Bertone, B., Wagner, P., & Pauli, J. (2025). Experiential Learning: Innovative Approaches to Post-Secondary Cybersecurity Education. Journal of Cybersecurity Education, Research and Practice, 2025(1). https://doi.org/10.62915/2472-2707.1254 [UA access]
  • McCully, G. A., Hastings, J. D., & Xu, S. (2025). Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code. Lecture Notes in Networks and Systems, 350–365. https://doi.org/10.1007/978-3-032-09694-4_27 [UA access]
  • Leiterman, S., Dark, M., Wagner, P., Sharevski, F., Dai, J., Honomichl, R., Pailen, L., Elmaghraby, A., Homan, F., Sun, S., & Huff, P. (2025). NCTA’s Role in Credentialing High School Teachers to Expand Availability and Access to High School Cybersecurity Courses. 2025 CAE in Cybersecurity Community Symposium, Cyber Defense Track Proceedings. 2025 CAE in Cybersecurity Community Symposium. https://131b1d64-a91b-4e72-9201-2d47ce0a189a.filesusr.com/ugd/eeb746_3d952ac09d53483db53a49b7cb327293.pdf
  • Montes, M., & Xu, S. (2025). PhishBusters: A Comprehensive Approach to Phishing Awareness Training in Organizational Settings. Cybersecurity Pedagogy and Practice Journal, 4(2), 36–50. https://doi.org/10.62273/JUZT9288 [UA access]
  • Xu, S., & Qian, Y. (2025). Quantum-Inspired Trust Scoring for Zero Trust Security: A Simulation-Based Approach. 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 46–49. https://doi.org/10.1109/QCE65121.2025.10291 [UA access]
  • Straight, R., Lowery, J., Poehlman, D., & Yowika, W. (2025). Reshaping Cybersecurity Ethics Education: Evaluating a Posthumanist Pedagogy Using Human/AI Co-Generated Case Studies. Cybersecurity Pedagogy and Practice Journal, 4(1), 24–34. https://doi.org/10.62273/DTJD9647 [UA access]
  • Meoak, J., & Xu, S. (2025). Static Malware Analysis for Incident Response: Developing a Tactical Aid with EMBER. Journal of Cybersecurity Education, Research and Practice, 2025(1), 16–23. https://doi.org/10.62915/2472-2707.1223 [UA access]
  • McCully, G. A., Hastings, J. D., & Xu, S. (2025). TEDVIL: Leveraging Transformer-Based Embeddings for Vulnerability Detection in Lifted Code. IEEE Access, 13, 76894–76913. https://doi.org/10.1109/ACCESS.2025.3565980 [UA access]
  • Pillay, S., Walia, E., Yoeurng, C., Fang, D., & Xu, S. (2025). Temporal-Spatial Feature Modification Attacks Against Machine Learning-Based Network Intrusion Detection Systems. 2025 22nd Annual International Conference on Privacy, Security, and Trust (PST), 1–6. https://doi.org/10.1109/PST65910.2025.11268880 [UA access]
  • Wagner, P., Dark, M., Honomichl, R., Sharevski, F., & Leiterman, S. (2025). The National Cybersecurity Teaching Coalition: Expanding Cybersecurity Education Opportunities. Journal of Cybersecurity Education, Research and Practice, 2025(1). https://doi.org/10.62915/2472-2707.1231 [UA access]
  • Honomichl, R., & Wagner, P. (2025). The Need for Highly Trained and Qualified K12 Teachers to Address the Growing Demand for Cybersecurity Professionals. INTED2025 Proceedings. 19th International Technology, Education and Development Conference. https://doi.org/10.21125/inted.2025.0611 [UA access]
  • Hardgrove, I., & Xu, S. (2025). Towards Intelligent Fuzzing: Leveraging Large Language Models for Improved Software Security. Lecture Notes in Networks and Systems, 404–419. https://doi.org/10.1007/978-3-032-09694-4_31 [UA access]
  • Xu, S., & Qian, Y. (2025). Zero Trust Architecture for Securing Edge AI and Federated Learning in Edge Computing. IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 1–2. https://doi.org/10.1109/INFOCOMWKSHPS65812.2025.11152832 [UA access]

2024

  • Straight, R. (2024). Beyond Human-Centric Models in Cybersecurity Education: A Pilot Posthuman Analysis of the NICE Workforce Framework for Cybersecurity. Journal of Cybersecurity Education, Research and Practice, 2024(1). https://doi.org/10.62915/2472-2707.1210 [UA access]
  • Wagner, P., & Alharthi, D. (2024). Comprehensive Cybersecurity Programs: Case-Study Analysis of a Four-Year Cybersecurity Program at a Secondary Education Institution. Cybersecurity Pedagogy and Practice Journal, 3(1), 37–63. https://doi.org/10.62273/hvqa9947 [UA access]
  • Straight, R. (2024). Decentering the Human: A Posthuman Approach to Cybersecurity Education. 2024 Cyber Awareness and Research Symposium (CARS), 1–6. https://doi.org/10.1109/CARS61786.2024.10778862 [UA access]
  • Straight, R. (2024). Doing Postphenomenology in Cybersecurity Education: A Methodological Invitation. Cybersecurity Pedagogy and Practice Journal, 3(1), 64–72. https://doi.org/10.62273/TWSH7587 [UA access]
  • Dark, M., Daugherty, J., Bain, L., Benmouna, N., Bliss, G., Burke, D., Dai, J., Homan, F., Huff, P., Leiterman, S., Mello-Starke, S., Stevens, N., Sullivan, S., Sun, S., Tu, M., Wagner, P., & Zwach, S. (2024). E3C: A Report of Early College Cybersecurity Credit [National report to the National Security Agency (grant H98230-22-1-0310)]. National Cybersecurity Teaching Academy / TeachCyber. https://teachcyber.org/e3c/
  • Wagner, P., & Mapp, W. (2024). Identifying Information Technology (IT) and Cybersecurity Executives’ Competencies to Support Comprehensive Cybersecurity Programs. European Conference on Cyber Warfare and Security, 617–625. https://doi.org/10.34190/eccws.23.1.2317 [UA access]
  • Straight, R., Lowery, J., Poehlman, D., & Yowika, W. (2024). Preparing Posthumanist Perspectives on AI-Human Collaboration in Developing Cyber Ethics Curricula. 2024 Proceedings of the ISCAP Conference, v10 n6144, 1–9. https://iscap.us/proceedings/2024/pdf/6144.pdf
  • Straight, R. (2024). Reconceptualizing Cybersecurity Tools as Educational Actors in the Posthuman Era. EDULEARN24 Proceedings, 9822–9828. https://doi.org/10.21125/edulearn.2024.2365 [UA access]

2023

2026

  • Wagner, P., Honomichl, R., Xu, S., & Hu, X. (2026). AI, Cybersecurity, and Digital Literacy Through Cybersecurity Clinics [Workshop]. iConference 2026.
  • Wagner, P., & Honomichl, R. (2026). Cybersecurity Awareness, AI and Digital Literacy for Libraries [Workshop]. Yavapai County Library.
  • Honomichl, R., & Wagner, P. (2026). Cybersecurity Awareness, AI, and Digital Literacy for Libraries [Workshop]. Arizona State Summer Library Institute.
  • Straight, R., Gunder, A., & Herron, J. (2026). Instructional design with AI as co-learner: Posthumanism in action. In UPCEA digital teaching & learning conference [Conference presentation]. UPCEA digital teaching & learning conference.

2025

  • Straight, R. (2025). AI as co-learner: Posthuman approaches to graduate education. In MSU denver GRADTALK [Conference presentation]. MSU denver GRADTALK.
  • Straight, R., Honomichl, R., & Wagner, P. (2025, December 9). True Teamwork: Building Human-AI Partnerships for Tomorrow’s Cyber Challenges [Concurrent Session]. NICE K12 Cybersecurity Education Conference.

2024

  • Straight, R., & Gunder, A. (2024, April 11). Pondering a Posthuman Pedagogy: Redefining “Learner” in the AI Era [Conference presentation]. OLC Innovate 2024.
  • Straight, R., & Gunder, A. (2024). Posthuman learners: The student-AI hybrid. In Transforming the teaching & learning environment [Conference presentation]. Transforming the teaching & learning environment.

  • AZ Cyber Pathways Research Practice Partnership. National Science Foundation. 2025. $279,310. Erwin, C. (PI); Caspary, K. (Co-PI); Wagner, P. (Key Personnel).
  • CyberAI Curriculum Mapping and CLARK Development. National Security Agency (via Towson University). 2025. $75,193. Wagner, P. (PI); Honomichl, R., Straight, R., Xu, S., Xu, L. (Co-PIs).
  • Security Control Assessor and Vulnerability Assessment Analyst work-role training (CyberSkills2Work). United States Department of Defense (via University of West Florida). 2025-2028. $311,601. Wagner, P. (PI); Xu, S. (Co-PI).
  • Southern Arizona Cybersecurity Workforce Alliance (RAMPS). National Institute of Standards and Technology. 2025. $199,100. Felix, M. (PI); Bevington, A., Ball, A. (Co-PIs); Keely, J., Wagner, P. (Key Personnel).
  • 2024 DoD Cyber Scholarship Program and Capacity Building: Security Assessments for Experiential Learning in Ecosystems with Area and Regional Needs (SAFE LEARN). National Security Agency. 2024-2026. $342,794. Denno, J. (PI); Lucero, A. (Co-PI); Wagner, P. (Key Personnel, PI SAFE LEARN); Honomichl, R. (Key Personnel, Co-PI SAFE LEARN) $146,760 of the award is allocated to SAFE LEARN..
  • 2024 DoD GenCyber Grant. National Security Agency (via Dakota State University). 2024-2026. $89,973. Honomichl, R. (PI); Wagner, P. (Co-PI).
  • Arizona Cybersecurity Academy: K-20+ Education, Training and Awareness, Workforce Development, Research, and Policy. Institute of Computation and Data Enabled Insight (ICDI), University of Arizona. 2024-2025. $40,000. Wagner, P. (PI, Founder, Director).
  • National Cybersecurity Teaching Academy 3.0. National Security Agency (via University of Arkansas at Little Rock). 2024-2027. $827,219. Wagner, P. (PI); Honomichl, R. (Co-PI); Kontak, N. (Key Personnel).
  • Research Leadership Institute Seed Funding to Support 10-Year Plan. Research, Innovation, and Impact (RII), University of Arizona. 2024. $7,500. Wagner, P. (PI).
  • Supporting Communities and Small Businesses by Conducting Risk and Vulnerability Assessments through Student Experiential Learning Opportunities (Arizona Cybersecurity Clinic). Google (Tides Foundation). 2024-2030. $1,000,000. Wagner, P. (PI); Honomichl, R., Mapp, W., Xu, S. (Co-PIs); Kontak, N. (Key Personnel).
  • The 502 Project: Building Gateways to the Cybersecurity Community. National Security Agency (via University of South Florida). 2024. $29,988. Wagner, P. (PI).
  • Arizona CyberPatriot Camps. Center for the Future of Arizona. 2023. $30,000. Wagner, P. (PI).
  • CyberSupply Data Collection Project. Center for the Future of Arizona. 2023. $6,500. Wagner, P. (PI).
  • Middle School CTE Accelerator. Luminary Labs LLC. 2023-2024. $85,000. Honomichl, R. (PI); Wagner, P. (Co-PI).

Named Sponsors

Named Sponsor Logos

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