Security systems fail where a person has to decide. I measure that point directly.

Where I am

I completed my Ph.D. in Computer Science at Texas A&M University in August 2026, advised by Prof. Nitesh Saxena in the Security and Privacy in Emerging Systems (SPIES) laboratory. My dissertation, A Neuro-Behavioral Framework for Measuring and Mitigating Human Vulnerability in Cybersecurity, brings three studies together around a single question: what happens to security decisions when the human operator is tired, deceived, or working with a tool that assumes more expertise than they have.

Before the doctorate I taught at university level for several years and spent close to six years in telecommunications and security-systems engineering, including more than three years as CTO of an engineering practice. I am currently seeking a faculty or research position.

Doctorate

Ph.D., Computer Science, Texas A&M University, 2026

Undergraduate

B.Sc., Computer and Communication Engineering, International Islamic University Chittagong

Based in

College Station, Texas

Three lines of work

They share one method: instrument the person, not only the system, and treat the resulting signal as evidence rather than anecdote.

• Measurement

  Human reliability under adverse conditions

  How cognitive fatigue and synthetic media degrade security judgment, measured with EEG, gaze, and behavioral data in controlled within-subject designs.

• Usable security

  When the tool asks too much

  Longitudinal study of technically prepared students using PGP encryption in a real course, and the accessibility gaps that appear when trust indicators are read by a screen reader rather than seen.

• Applied AI

  Evaluating machine reasoning

  Building and validating evaluation pipelines that use large language models to reason over security research corpora — and studying when people over-trust fluent, confident, incorrect output.

Recent

In the classroom

I have taught face-to-face, online, and hybrid courses, in two different national educational systems, to university students and to mixed-ability adult learners. My working standard is that students understand an idea when they can explain it clearly, apply it, recognize where it fails, and say what they learned from that failure.

I have supervised five undergraduate theses and senior projects from proposal through defense; two of those students now work with me as collaborators and co-authors.

Get in touch

The fastest route is email. I am glad to hear from prospective collaborators, students, and search committees.

Email

imanulhuq@gmail.com

CV

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