Mehryar Abbasi
Papers
1
Total Citations
4
H-Index
1
About
Mehryar Abbasi is a researcher at the forefront of inclusive human-robot interaction (HRI), dedicated to dismantling bias in robotic perception systems. Her primary research areas span socially assistive robotics, affective computing, and fairness in artificial intelligence. Abbasi’s most notable contribution is her pioneering work on using Sim2Real transfer learning to address the critical underrepresentation of diverse populations in emotion expression recognition. In her highly cited 2022 paper, she demonstrates how synthetic data can train robots to perceive human emotions more equitably across different ethnicities, genders, and ages—directly challenging the well-documented failures of facial perception systems for marginalized groups. This work has garnered significant attention, with citations highlighting its potential to reshape ethical AI design. Abbasi’s research not only advances technical robustness but also champions social justice in technology, making her a rising voice in the movement toward truly inclusive robotics. Her achievements underscore a commitment to ensuring that the next generation of artificial agents serve all people fairly, without perpetuating systemic inequities.
Research Focus
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Top Papers
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