Haoran Zhang

Papers

Total Citations

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About

Haoran Zhang is a rising researcher in the fields of autonomous systems, pedestrian behavior modeling, and human-robot interaction. His work focuses on the critical challenge of enabling autonomous vehicles and robots to safely navigate complex, crowded environments by accurately predicting pedestrian movements. Zhang’s major contribution lies in developing models that capture the nuanced, heterogeneous, and dynamic nature of social interactions between individuals—a key limitation in prior trajectory forecasting approaches. His most cited paper, "Modeling interpretable social interactions for pedestrian trajectory" (2024, 8 citations), introduces a framework that not only predicts future paths but does so in an interpretable manner, offering insights into the underlying social cues driving movement. This work is foundational for enhancing road safety and traffic management. Though early in his career, Zhang’s research has already garnered attention for its potential to bridge the gap between raw data and human-understandable machine reasoning, positioning him as a promising voice in the development of safer, more socially aware autonomous systems.