Hadis Arefanjazi

Bio

As AI becomes embedded in critical decision workflows, understanding and mitigating the effects of human attention constraints is increasingly important. My work addresses a fundamental and timely challenge in modern AI-enabled systems: how a human decision-maker should optimally allocate limited cognitive attention across multiple, continuously arriving, and noisy information sources, many of which are increasingly generated or mediated by AI systems. These results provide fundamental insights into how bounded rationality and information constraints shape long-horizon decision behavior.

Education

Spring 2023: PhD in Electrical Engineering, Binghamton University, USA

2018-2021: M.S. in Control Engineering, University of Isfahan, Iran

2014-2018: B.S. in Electrical Engineering, University of Kashan, Iran

Publications

H. Arefanjazi, M. Ataei, M. Ekramian, A. Montazeri, “A robust distributed observer design for Lipschitz nonlinear systems with time-varying switching topology,” Journal of the Franklin Institute, vol. 360, no. 14, pp. 10728–10744, 2023. Franklin

H. Arefanjazi, E. Akyol, “On Myopia in Rationally Inattentive Dynamic Information Acquisition,” in Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2025. Allerton

H. Arefanjazi, E. Akyol, “Dynamic Information Acquisition Under Rational Inattention,” in American Control Conference (ACC), Jan 21, 2026.

H. Arefanjazi, E. Akyol, “Robust Dynamic Attention Allocation in Human–AI Collaboration under Rational Inattention,” arXiv preprint, 2025.