This research paper explores the need for increased educational resources in cybersecurity, particularly within industrial control systems (ICS). By leveraging gamification strategies and containerized environments, students can engage in hands-on learning experiences that enhance their understanding of ICS security, adversarial thinking, and networked attack scenarios.

This research project explores strategies for rapid response and limited time-on-target threat hunting. By analyzing incident context, collected Cyber Threat Intelligence (CTI), and existing frameworks, the project aims to enhance traditional threat hunting approaches through novel hypothesis generation techniques.

Developed a resilient cyber range at Idaho Falls' RADICL Lab to provide students with hands-on experience in defense-in-depth network security. Designed and implemented a segmented network security plan, incorporating switching, routing protocols, and service monitoring using Cisco products.

Developed RACER, a fully automated cybersecurity training platform leveraging Ansible to set up a defense-in-depth network for students. Integrated open-source tools such as Nagios, Trac, Wazuh, Suricata, and RT-IR for real-time monitoring and incident response simulation.

Creating a variety of modalities to teach high school and college students about cybersecurity, computer architecture, operating systems, and software.

Developed an object oriented mobile and computer game in Unity that showcases programming design patterns, static and dynamic types, and business documentation.

Developed a mobile application that used Python to pull recipes from the internet and redefine the order of instructions to better increase productivity in the kitchen.

Developed a mobile application that read/writes to a SQL Database and communicates changes to an Arduino client using MQTT.