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 that 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!
2023-present: Ph.D. candidate 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