Nazmun Nahid

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About

Nazmun Nahid is a rising researcher at the intersection of human-robot interaction, artificial intelligence, and clinical psychology, with a focus on scalable, technology-driven solutions for healthcare and workplace well-being. Her most impactful work, an automated autism assessment framework using multimodal data and ensemble learning, proposes a transformative Robot-Enhanced Therapy (RET) model that addresses the critical need for consistent, scalable ASD diagnosis and intervention—garnering 11 citations since 2025. She also contributed to the Bento Packaging Activity Recognition Challenge (2022), demonstrating her expertise in activity recognition and sensor-based data analysis. In her 2024 review on psychological analysis in human-robot collaboration, Nahid systematically examines workplace stress factors across industrial, hospital, and construction settings, offering guidance for tailoring psychological tests to improve HRC outcomes. Her research uniquely bridges engineering and psychology, aiming to make robotic systems more adaptive, empathetic, and effective in real-world environments. With a growing citation record and contributions to both foundational challenges and applied frameworks, Nahid is establishing herself as a thoughtful voice in socially assistive robotics and human-centered AI.