Papers
3
Total Citations
118
H-Index
3
About
Dr. Prayag Tiwari is a leading researcher at the intersection of artificial intelligence, the Internet of Medical Things (IoMT), and affective computing. His most impactful work, a 2023 study on "Consumer-Centric Internet of Medical Things for Cyborg Applications Based on Federated Reinforcement Learning," has already garnered 97 citations, showcasing its profound influence on next-generation digital healthcare. In this work, Tiwari pioneers the use of federated reinforcement learning to enable secure, privacy-preserving AI for cyborg applications—systems that integrate advanced AI robots with human medical procedures. He further advances human-machine interaction through his research on multi-modal sentiment classification, where his 2022 paper on "Affective Interaction" introduces attentive representation learning to decode subjective attitudes from diverse data streams like speech and text. Earlier in his career, Tiwari contributed to data engineering by improving ETL processes through query caching and scripting, laying a foundation for efficient data warehousing. His work is critical for building intelligent, empathetic systems—from autonomous vehicles to affective robots—that can understand and respond to human emotion while ensuring robust security in medical contexts.
Research Focus
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