Qasid Saleem
Papers
2
Total Citations
14
H-Index
2
About
Qasid Saleem is a leading researcher at the intersection of human-robot interaction, artificial intelligence, and gerontechnology. His work focuses on developing intelligent, empathetic systems to support active and healthy aging. Saleem’s major contributions lie in the technical architecture and conversational design of virtual coaching systems for older adults. His highly cited 2024 paper on the e-VITA project, which has garnered 8 citations, provides critical insights into building a robust, cross-cultural virtual coaching platform funded by the EU and Japan. In another influential work with 6 citations, Saleem pioneered a novel system that integrates a curated Natural Language Understanding (NLU) engine with a Large Language Model (LLM) like GPT-3.5, all within a humanoid robot. This system enables reflective dialogues that effectively promote positive behavioral change. By combining rigorous technical engineering with a deep understanding of user needs, Saleem is helping to shape a future where AI companions can provide meaningful, motivational support, directly addressing the societal challenge of providing adequate care for a rapidly aging global population.
Research Focus
Key Achievements
Top Papers
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