Isslam Alhasan

Ph.D. · Assistant Professor · Ethical AI & Predictive Analytics

My research sits at the intersection of two questions: what can data reveal about human behavior, and what responsibility comes with that power? I build predictive analytics models that take human complexity seriously, and I work on frameworks for ethical, responsible AI that ensure those models are transparent, fair, and accountable. The technical and the ethical are not in tension in my work. They are the same project.

Ethical AI Predictive Analytics Machine Learning Responsible AI Human Factors Algorithmic Fairness
Isslam Alhasan

Background

I'm an Assistant Professor with a Ph.D. in Computer and Information Technology (Data Science) from Purdue University. My work centers on two interconnected areas: building rigorous predictive analytics and machine learning models, and developing principles for ethical, responsible AI that ensure those models are transparent, fair, and accountable to the people they affect.

My doctoral research was the foundation: a cross-cultural study using mixed methods and predictive modeling to understand how cultural background and personality factors shape human behavior in high-stakes digital environments. That work grounded me in what it actually takes to build models that reflect how people behave in the real world rather than how we assume they do. I carried that question forward, and it now drives both the technical side of my work (designing models that are accurate and interpretable) and the ethical side (asking who bears the risk when those models are wrong). The applied thread running through it all is human factors: how culture, personality, and context shape the way people engage with technology and algorithmic systems.

Prior to academia, I worked as an Associate Consultant at Korn Ferry, applying predictive analytics to workforce strategy and organizational DEI at scale.


Education

  • Ph.D., Purdue University, 2023
  • M.S. Software Engineering, CSUF, 2018
  • B.S. Computer Science, CSUF, 2016

Research Interests

  • Ethical & responsible AI
  • Predictive analytics & machine learning
  • Algorithmic fairness & transparency
  • Human factors in AI systems
  • Cross-cultural trust in technology

Roles

  • Assistant Professor (current)
  • Associate Consultant, Korn Ferry
  • Graduate Research Assistant, Purdue University

Selected Publications

  • Cultural Risk Profiling for Predictive Cybersecurity, IEEE FLLM 2025
  • XGBoost for Thermal Runaway Detection, World EV Journal 2026
  • Human Factors in Cybersecurity (Dissertation, Purdue 2023)
  • SecTutor Intelligent Tutoring System, WISE 2022

Get in Touch

I'm open to research collaborations, speaking opportunities, and academic consulting. Feel free to reach out by email.