Tianhao She

Papers

Total Citations

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About

Tianhao She is a pioneering researcher at the intersection of social robotics and artificial intelligence, dedicated to developing assistive technologies for children with autism spectrum disorder (ASD). Her primary research areas include human-robot interaction, deep learning, and therapeutic robotics, with a focused mission to enhance the social and communicative abilities of children with ASD. She’s major contributions involve designing and implementing deep learning algorithms to improve the conversational and language capabilities of humanoid robots, specifically the NAO and LEO platforms. In her highly cited 2021 work, "Enhance the Language Ability of Humanoid Robot NAO through Deep Learning to Interact with Autistic Children," she demonstrated how AI-driven robots can facilitate early intervention, a critical factor in improving long-term quality of life for children with ASD. Her 2018 study, "Improving LEO Robot Conversational Ability via Deep Learning Algorithms for Children with Autism," tackled the core symptom of social difficulties by addressing deficits in joint attention. With each paper garnering 13 citations, She’s work is recognized for its practical, compassionate application of deep learning, offering a scalable, engaging tool for therapists and families. Her research stands as a testament to using advanced technology to foster human connection and developmental growth.