Ognjen Rudovic
Massachusetts Institute of Technology, Imperial College London
Papers
10
Total Citations
403
H-Index
8
About
Ognjen Rudovic is a pioneering researcher at the intersection of affective computing, machine learning, and socially assistive robotics, with a particular focus on improving therapeutic interventions for children with Autism Spectrum Disorder (ASD). His most influential work explores how robots and AI systems can autonomously recognize and respond to children's engagement and emotional states during therapy sessions, addressing a critical challenge in autism care. His landmark cross-cultural study on measuring engagement in robot-assisted autism therapy (2017, 128 citations) established foundational methods for quantifying children's behavioral responses, while his CultureNet framework (2018, 83 citations) demonstrated the power of deep learning for estimating engagement from facial expressions in children with atypical behavioral patterns. Rudovic has further advanced the field through personalized, active learning approaches that adapt to individual children over time, and has tackled critical data privacy concerns in human-robot interaction through his RoboChain secure data-sharing framework. His long-term vision of affect-aware socially assistive robot tutors reflects a commitment to creating truly adaptive, ethically responsible AI-driven therapies. With over 400 cumulative citations, his work continues to shape the future of intelligent, human-centered robotics in clinical and educational settings.
Research Focus
Key Achievements
Top Papers
- 1Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study128 citations · 2017
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- 4RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction36 citations · 2018
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- 6NAO-Dance Therapy for Children with ASD29 citations · 2017
- 7RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction23 citations · 2018
- 8Sentiment apprehension in human-robot interaction with NAO17 citations · 2015
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