Iqbal Hassan
Papers
1
Total Citations
11
H-Index
1
About
Iqbal Hassan is pioneering the integration of robotics and artificial intelligence to revolutionize mental health care, with a primary focus on Autism Spectrum Disorder (ASD) assessment and intervention. His most impactful work introduces a scalable Robot-Enhanced Therapy (RET) framework that leverages multimodal data—including behavioral, vocal, and physiological signals—combined with ensemble learning algorithms to deliver consistent, automated ASD evaluations. This breakthrough addresses the critical challenge of variability in traditional therapeutic practices, offering a standardized yet adaptable tool that can be deployed across diverse clinical settings. With 11 citations since its 2025 publication, Hassan’s framework has quickly garnered attention for its potential to democratize access to reliable autism diagnostics, reducing reliance on subjective human observation. His research sits at the intersection of human-robot interaction, affective computing, and precision medicine, demonstrating how intelligent systems can enhance therapeutic consistency while maintaining sensitivity to individual patient needs. By bridging engineering innovation with clinical psychology, Hassan is laying the groundwork for a new era of robot-assisted mental health interventions that are both scalable and deeply human-centered.
Research Focus
Key Achievements
Top Papers
- 1