E. Ologunde Case file

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Academic background

Doctoral, graduate and undergraduate training in cybersecurity and computer science, from Ilorin to Washington, DC.

01

Degrees

In plain English: my degrees, from an associate degree in computer science to the engineering doctorate I expect to finish in September 2027.

  1. Expected
    September 2027

    Doctor of Engineering, Cybersecurity Analytics

    The George Washington University, School of Engineering and Applied Science · Washington, DC · In progress

    • Research areas: explainable AI, AI-enabled security governance, adversarial machine learning defenses, Zero Trust architecture with NIST RMF alignment, and risk quantification in enterprise and educational environments.
    • SEAS 8414, Analytical Tools for Cyber: built Breakwater, an end-to-end security-analytics pipeline against a containerized OT/IoT simulation network. Read about Breakwater.
    • Also completed: SEAS 8415, Applied Cryptography and Data Protection; SEAS 8499, Praxis Development.
    • Now: SEAS 8188, Praxis Research, from fall 2026.
  2. May 2024

    M.S., Cyber Forensics

    University of Baltimore · Baltimore, MD · GPA 3.9

    • Digital forensics and incident response, with Python-based security analytics.
    • SOC operations and HITRUST compliance.
    • Graduate research on cryptographic protocols for secure voting, strategic risk acceptance and incident response governance.
  3. October 2019

    B.S., Computer Science and Education (dual major)

    University of Ilorin · Ilorin, Nigeria

    • Dual major: computer science foundations combined with pedagogical training.
    • Core coursework: software engineering, data structures, algorithms, educational technology and instructional design.
  4. August 2014

    A.S., Computer Science

    Kwara State Polytechnic · Ilorin, Nigeria

02

Professional development

In plain English: short courses and training I completed on top of my degrees.

  • 2026Howard AI Network (powered by AWS): Agentic AI Bootcamp; Faculty Bootcamp on Building AI Curriculum Across Disciplines; Workshop on Writing Competitive Proposals
  • 2026AWS Machine Learning University Educators Consortium, including the faculty poster showcase and the AI/ML Teaching and Research Symposium at Tuskegee University
  • 2026CIN train-the-trainer series: CompTIA CySA+ (V4)
  • 2026Argonne AI STEM Learning Forum
  • 2024SANS AI Cybersecurity Forum: AI and ML-based threat hunting

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