Integrating AI in Cybersecurity Higher Education: A Path to Workforce Readiness

Role: Co-Author / Researcher

Tools: Literature review, survey methodology, curriculum design frameworks, statistical analysis

Duration: Published May 2025

Publication: 

Roshanaei, M. and Jachura, M. (2025) Integrating AI in Cybersecurity Higher Education: A Path to Workforce Readiness. Journal of Intelligent Learning Systems and Applications, 17, 45-67. doi: 10.4236/jilsa.2025.172005. 

Description:

The paper titled “Integrating AI in Cybersecurity Higher Education: A Path to Workforce Readiness” explores how artificial intelligence (AI) can be effectively embedded into cybersecurity education programs. It identifies key challenges such as curriculum gaps, faculty skill limitations, and resource constraints, and proposes a multi-dimensional framework focused on hands-on training, industry collaboration, and curriculum redesign. 

Key Contributions:

• Conducted a comprehensive review of AI and cybersecurity education literature to highlight emerging industry needs.

• Developed a strategic framework for integrating AI into cybersecurity higher education curricula, including foundational courses, advanced modules, and capstone projects.

• Identified and analyzed barriers—such as faculty expertise and infrastructure limitations—that hinder AI adoption in cybersecurity programs.

• Proposed measurable outcomes to assess the impact of such educational interventions on workforce readiness and student success.

• Co-authored and published in the Journal of Intelligent Learning Systems and Applications, ensuring peer-reviewed recognition of the work. 

Outcome:

The publication has expanded discourse on AI-driven cybersecurity education, linking academic training with industry demand and reinforcing my expertise in educational research, cybersecurity curriculum development, and strategic use of AI in workforce preparation.

Exploring and Benchmarking Quantum-Safe Cryptography: A Practical Investigation into Post-Quantum Algorithms and Key Exchange Protocols

Role: Undergraduate Researcher – ACURA Quantum Cryptography Project

Tools: Python, Qiskit, OpenSSL, Wireshark, Quantum Key Distribution (QKD) Simulations, Post-Quantum Cryptography Algorithms

Duration: Fall 2023

Description:

As part of the ACURA undergraduate research program under Professor Joseph Oakes, this project explores the development and benchmarking of quantum-safe cryptographic solutions to secure communications against future quantum attacks. The research focuses on the implementation of post-quantum algorithms and Quantum Key Distribution (QKD) models, evaluating their practicality, scalability, and integration within classical network infrastructures. My role emphasizes hands-on experimentation, algorithmic testing, and coordination with fellow researchers to advance the project’s objectives in quantum-resistant cybersecurity.

Key Contributions:

• Implemented prototype encryption systems using Qiskit and OpenSSL to compare classical RSA/AES encryption with quantum-safe alternatives such as CRYSTALS-Kyber and Dilithium.

• Conducted performance and latency benchmarking of quantum-safe protocols within simulated network environments.

• Analyzed the trade-offs between computational complexity, energy efficiency, and security resilience under quantum threat models.

• Collaborated with team members to design experimental test plans and synthesize findings into presentations for faculty review.

• Co-led research meetings focused on aligning cryptographic implementation strategies with post-quantum standards proposed by NIST PQC.

Outcome:

The project advanced the understanding of quantum-resistant cryptography and contributed to the university’s ongoing research into quantum-safe communications. Through this experience, I strengthened my expertise in applied cryptography, research documentation, and technical leadership while contributing to the growing field of quantum cybersecurity.