Kasra Mokhtari

Shiraz University, Pennsylvania State University

Papers

Total Citations

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About

Kasra Mokhtari’s research bridges the gap between autonomous systems and human-robot interaction, with a focus on robotic perception, dynamic modeling, and social behavior analysis. His early work in *Dynamic Modeling of an Out-Pipe Inspection Robot and Experimental Validation using Image Processing* (9 citations) established a foundation for precision robotics in infrastructure monitoring, combining mechanical design with vision-based validation. Transitioning into autonomous driving, Mokhtari created *The Pedestrian Patterns Dataset* (6 citations), a unique resource capturing social and pedestrian behavior over repeated, time-varied traversals of fixed routes. This dataset enables researchers to model predictable movement patterns, directly improving the safety and decision-making of self-driving vehicles. More recently, his study *Your Robot Is Watching 2: Using Emotion Features to Predict the Intent to Deceive* (4 citations) explores a cutting-edge frontier: detecting human deception through emotional cues. By demonstrating that robots can infer deceptive intent from facial expressions and vocal tones, Mokhtari advances trust-aware collaboration between humans and social robots. His work is notable for its interdisciplinary approach—merging mechanical engineering, computer vision, and affective computing—to create robots that not only navigate physical environments but also understand the nuanced intentions of the people around them.