Adnan Hoq

📢 About

My name is Adnan Hoq. I am a fourth year Ph.D. candidate in the Computer Science and Engineering Department at the University of Notre Dame. My research lies at the intersection of artificial intelligence, computational social science, and digital behavior, focusing on understanding how people interact with and are influenced by digital information ecosystems. I study the role of AI systems, particularly Large Language Models, in shaping human behavior, decision-making, and information consumption online. My work emphasizes human-centered design, platform transparency, and fairness, aiming to inform the development of AI-driven systems and online interfaces that empower users. By combining insights from AI, social science, and cognitive theory, I seek to advance understanding of digital behavior, improve user experiences, and guide the responsible design and deployment of AI technologies.

👨🏻‍🎓 Education

• Ph.D. in Computer Science and Engineering (Anticipated Graduation: 2027)
• M.S. in Computer Science and Engineering (Graduation: 2025)
• B.S. in Mathematics and Computer Science (Graduation: 2019)

👔 Experience

• IBM Graduate Research Fellow, IBM-University of Notre Dame (2025-Present)
• Research Assistant, University of Notre Dame (2022-Present)
• Data Scientist Lead, Tarifica (2019-2022)
• Data Science Student Researcher (DS3), Microsoft (2018)
• Full Stack Developer, NYU Tandon School of Engineering (2018-2019)
• Software & Data Consultant, NYC Department of Health and Mental Hygiene (2018)
• Deep Learning Summer Research Student, Tsinghua University (2018)
• Web Developer & Instructor, Win to Learn Inc. (2018)

📑 Publications

• Hoq, A., Facciani, M. J., & Weninger, T. (2025). Empowering Perception: Assessing The Impact of Feedback and Educational Intervention On Image Manipulation Detection. Harvard Kennedy School (HKS) Misinformation Review. https://doi.org/10.37016/mr-2020-175
• Hoq, A., Facciani, M. J., & Weninger, T. (2026). AI Credibility Signals Outrank Institutions and Engagement in Shaping News Perception on Social Media. In Proceedings of the AAAI Conference on Artificial Intelligence, 2026. (Under Revision Review)
• Hibshman, J. I., Hoq, A., & Weninger, T. (2025). SCHENO: Measuring Schema vs. Noise in Graphs. IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2025.3543032
• Karrie J. Koesel, Peitong Reinoso, Adnan Hoq, Tim Weninger. The Propagandist’s Global Playbook, American Political Science Association, Philadelphia, PA September 5-8, 2024.
• Hofman, J. M., Goldstein, D. G., Sen, S., Poursabzi-Sangdeh, F., Allen, J., Dong, L. L., Fried, B., Gaur, H., Hoq, A., Mbazor, E., Moreira, N., Muso, C., Rapp, E., & Terrero, R. (2021). Expanding the scope of reproducibility research through data analysis replications. Organizational Behavior and Human Decision Processes, 164, 192–202. https://doi.org/10.1016/j.obhdp.2020.11.003

🏅 Awards

• IBM Graduate Research Fellow (2025-2026)
• LASER Scholarship (2025-2026)
• LUCY Scholar (2024-2026)
• Valedictorian (2019)
• Summa Cum Laude (2019)
• Kappa Gamma Pi (2019)
• Delta Epsilon Sigma (2019)
• Sigma Iota Chi (2015-2019)
• Dean’s List (2015-2019)
• ACES Scholarship (2015-2019)
• Full Tuition Presidential Scholarship (2015-2019)

🤝🏻 Leadership

• Journal of Data and Societal Endeavors (JDSE) (2024-Present)
• LASER Scholar (2025-2026)
• LUCY Scholar (2024-2026)
• Teaching Asssistant - University of Notre Dame (2022-2023)
• Teaching Assistant - St Joseph's University (2019)
• Student Liaison - Faculty Technology Committee (2017-2019)
• Vice President - SJCNY Computer Club (2016-2018)

📫 Contact