Anahita Jamshidnejad
Papers
12
Total Citations
94
H-Index
7
About
Anahita Jamshidnejad is a robotics and artificial intelligence researcher whose work sits at the intersection of intelligent control systems, human-robot interaction, and autonomous decision-making. She has made significant contributions to the design of socially assistive robots (SARs), developing adaptive fuzzy logic frameworks that personalize robotic care for individuals with dementia, autism spectrum disorder, and other conditions requiring therapeutic support. Her pioneering introduction of socially assistive drones for dance movement therapy represents a particularly innovative extension of this field. Jamshidnejad has also advanced the theoretical grounding of social robotics through dynamic mathematical models of Theory of Mind, enabling robots to reason about and predict human mental states for more meaningful interactions. Beyond assistive technologies, her research addresses autonomous search-and-rescue robotics, where she has developed novel model predictive control formulations and hierarchical fuzzy-logic architectures that improve mission efficiency under real-world uncertainty. Her work on social norm-aware robots further reflects a commitment to human-centered design. With a growing body of cited work — including papers accumulating over 90 citations collectively — Jamshidnejad is establishing herself as a versatile and impactful voice in intelligent, human-aware robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dynamic Mathematical Models of Theory of Mind for Socially Assistive Robots12 citations · 2023
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- 6SONAR: An Adaptive Control Architecture for Social Norm Aware Robots7 citations · 2024
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- 10Mathematical Models of Theory of Mind2 citations · 2022