Note: I am a United States Permanent Resident with full work authorization and no need for employer sponsorship.
About Me
Welcome to my academic webpage!
I am a Ph.D. candidate in Information Systems at the DeGroote School of Business, McMaster University, advised by Professor Milena Head. My research examines socio-technical challenges at the intersection of human–AI interaction and digital misinformation on social media, focusing on human information processing, trust formation, and decision-making under uncertainty. To investigate these issues, I employ a multi-method empirical approach, leveraging behavioral experiments, NeuroIS, and computational data science to develop theory-driven insights that guide trustworthy technology design and strengthen user resilience to online deception. I analyze this data using advanced statistical methods for hypothesis testing and computational techniques, including machine learning and explainable AI (XAI) for pattern recognition. I welcome discussions about research, teaching, and collaboration opportunities.
At McMaster Digital Transformation Research Centre (MDTRC), I have conducted experimental and data-driven studies in consumer behavior, digital user experience (UX) analytics, and human–computer interaction (HCI), integrating behavioral and neurophysiological data. I have also contributed to developing grant proposals, securing external research funding, supporting industry partnerships, and mentoring MBA and undergraduate students. My data science research experience at Capital One has also provided me with practical exposure to the governance and deployment of AI and machine learning in risk modeling and fraud detection. These experiences have strengthened my research leadership, methodological rigor, and interdisciplinary collaboration capabilities.
Research Interests
Topic:
Human-AI Interaction, Digital Misinformation on Social Media, AI Governance & Ethics, Aging and Digital Divide, Behavioral Information Systems, Human-Computer Interaction (HCI)
Methodology:
Behavioral Experiments, Quantitative Analysis, Survey Research, Statistical Modeling, Applied Econometrics, Causal Inference, Explainable AI (XAI), Interpretable Machine Learning, Content Analysis and Text Mining, NeuroIS (Eye-Tracking & Physiological Measures)
Education
Ph.D. in Business Administration – Information Systems Sep. 2021 – May 2026 (exp.)
McMaster University; DeGroote School of Business, Hamilton, ON, Canada
M.Sc. in Transportation Systems Engineering Sep. 2019 – Apr. 2021
Michigan State University; East Lansing, MI, US
Graduate Certificate in Computational Modeling and Data Science Sep. 2019 – Dec. 2020
Michigan State University; East Lansing, MI, US
B.Sc. in Civil Engineering Sep. 2014 – Feb. 2019
Sharif University of Technology; Tehran, Iran