معرفی
Dr. Prashant Khare is a Researcher at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on Natural Language Understanding, Machine Learning, and Social Data Science, with applications to organizational communication, crisis information analysis, and internet standards. He has contributed to datasets like LEDA for decision dialogue analysis and explores linguistic markers of influence in online organizations. His work bridges computational methods with real-world challenges in communication and crisis management.
Key research interests include dialogue modeling, NLP for organizational contexts, and cross-lingual crisis data classification. He has analyzed social graphs of technical communities like the IETF and studied the co-spread of misinformation during global health crises. His technical contributions span RFC errata analysis, decision detection algorithms, and semantic validity assessment in linked open data.
Though no formal awards are listed, his publications reflect sustained engagement with interdisciplinary challenges at the intersection of computer science and social systems. His research often involves collaboration with industry and standards bodies, as seen in his work on RFC deployment and large-organization email analysis.
