Shomik Jain
Papers
6
Total Citations
270
H-Index
4
About
Shomik Jain is a researcher specializing in socially assistive robotics (SAR), human-robot interaction, and AI-driven personalization for therapeutic applications, with a particular focus on improving outcomes for children with autism spectrum disorders (ASD). His work sits at the intersection of machine learning, affective computing, and long-term in-home robot deployments, addressing a critical gap in accessible and scalable interventions for neurodiverse children. Jain's most influential contribution, "Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders" (2019, 133 citations), pioneered methods for adapting robot behavior over extended real-world deployments — a significant leap beyond controlled lab settings. His follow-up work on modeling engagement during long-term interventions (2020, 94 citations) further advanced the field's ability to autonomously recognize and respond to children's behavioral cues. More recently, his research on affect-aware SAR tutors (2022, 33 citations) tackles the complex challenge of perceiving atypical cognitive-affective signals unique to children with ASD. Collectively, Jain's research has amassed over 270 citations, establishing him as an emerging voice in the effort to make therapeutic robotics more intelligent, personalized, and practically deployable for vulnerable populations.
Research Focus
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Top Papers
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