Ph.D. in Computer and Information Technology (Data Science)

Purdue University · West Lafayette, IN

Dissertation: Human Factors in Cybersecurity: A Cross-Cultural Study on Trust

M.S. in Software Engineering

California State University, Fullerton · Fullerton, CA

B.S. in Computer Science

California State University, Fullerton · Fullerton, CA

Assistant Professor

Zayed University · College of Technological Innovation, Department of Computing and Applied Technology · Abu Dhabi, UAE

• Taught undergraduate courses: Artificial Intelligence, Information Security Management, Human-Computer Interaction, IT in Global Cultures, and Introductory IT.
• Supervised and mentored senior capstone project students in research, development, and IT solution implementation.
• Designed and delivered lectures, case studies, glass engagements, and assessments integrating theory and practice.
• Integrated real-world predictive analytics and data science applications into coursework to enhance industry readiness.

Associate Consultant, Operational Strategies & People Analytics

Korn Ferry · West Lafayette, IN

• Conducted Python-driven market analysis identifying global locations to support business expansion strategies.
• Developed predictive models to optimize talent acquisition and workforce planning.
• Created a resource allocation optimization tool, improving project delivery and operational efficiency.
• Advanced DEI initiatives with data-driven diversity metrics to track and improve organizational inclusion.
• Designed and maintained real-time dashboards and KPI frameworks to enhance data-driven decision-making.

Graduate Research & Teaching Assistant

Purdue University · West Lafayette, IN

• Conducted cybersecurity research focusing on Industrial Control Systems (ICS) workforce needs and knowledge mapping.
• Developed a concept map for ICS cybersecurity, published in IEEE Frontiers in Education.
• Co-instructed graduate courses: Research Methods, Social Engineering, Cybersecurity Fundamentals I & II.
• Co-authored and published SecTutor, an intelligent tutoring system for secure programming (WISE 2022).
• Advised graduate students on research methodologies, technical writing, and industry certifications.

Data Researcher & Analyst

UPS – The Data Mine · Purdue University · West Lafayette, IN

• Developed predictive models to identify high-value investment opportunities for UPS.
• Conducted data-driven market analysis using Python, Power BI, and Agile methodologies.
• Presented research findings at The Data Mine Symposium 2022.

Graduate Instructor

California State University, Fullerton · Fullerton, CA

• Taught graduate courses covering software architecture, design, and testing.
• Designed interactive lesson plans ensuring student engagement and comprehension.
• Provided guidance on academic research methods and technical communication.

Software Engineer

Early-Stage Startup · Irvine, CA

• Contributed to the full software development lifecycle in an Agile environment.
• Implemented CI/CD strategies and conducted code reviews and automated testing.

Computer Science Teacher

Ansar Academy · Anaheim, CA

• Developed and taught CS curricula for elementary, middle, and high school students.
• Taught programming fundamentals and technology industry trends.

Human Factors in Cybersecurity: A Cross-Cultural Study on Trust

Doctoral Dissertation · Purdue University · 2023 · DOI: 10.25394/PGS.23271581.v1

Mapping the Landscape of Industrial Control Systems Cybersecurity: A Delphi Study

Co-authored · IEEE Frontiers in Education (FIE 2021) · DOI: 10.1109/FIE49875.2021.9637386

Curriculum Guidance Document: Industrial Control Systems Cybersecurity

Co-authored · CERIAS, Purdue University · CERIAS Report

SecTutor: An Intelligent Tutoring System for Secure Programming

Co-authored · Book chapter in Information Security Education – Adapting to the Fourth Industrial Revolution · IFIP / WISE 2022, pp. 17-28 · DOI: 10.1007/978-3-031-08172-9_2

Toward Proactive Cybersecurity: A Cultural Risk Profiling Framework for Predictive Cybersecurity Analytics

Isslam Alhasan · 2025 3rd International Conference on Foundation and Large Language Models (FLLM) · Vienna, Austria · DOI: 10.1109/FLLM67465.2025.11391026

XGBoost-Powered Predictive Analytics for Early Identification of Thermal Runaway in Lithium-Ion Batteries

Alhasan, I. and Alrashdan, M.H.S. · World Electric Vehicle Journal, Vol. 17, No. 2, Art. 68 · DOI: 10.3390/wevj17020068