Ahmad Esmaeili

Ahmad Esmaeili's work centers on multi-agent systems (software components called 'agents' that act somewhat independently and coordinate with each other) and machine learning, including distributed and holonic (hierarchically organized) approaches to learning, as well as deep neural networks applied to tasks like recognizing human activity from wearable sensor data. The bibliographic record also includes publications on power distribution systems and unrelated agricultural genetics topics, which may reflect co-authorship on other researchers' projects or shared author names rather than a single coherent research focus. Prospective students should note the mixed subject matter when evaluating fit with their own interests.

Publication output has been variable but generally increased over the last decade, rising from near zero around 2017 to a peak of 6 in 2023, with a mean of about 3.4 papers per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026