Muhammad Atif Qureshi
Assistant Professor in Data Analytics, TU Dublin
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Dr M. Atif Qureshi is a lecturer in Data Analytics and a research leader at Explainable Analytics Group, which focuses on bridging business and technology problems.
Atif has contributed to the various projects funded by SFI, IRC, EI, and EU as a principal investigator and technical lead. He is also a research collaborator with ADAPT and CeADAR.
His research interests are explainable artificial intelligence, natural language processing, medicinal information retrieval, machine learning, disinformation space, and social media. Atif is passionate about applied research, has authored over 40+ peer-review research publications, and licensed an outcome to a leading media organisation in Ireland in social media analytics. One of his research is a pioneer contribution in Explainable AI discourse and Word Embedding and is cited on Wikipedia under “Word embedding” and “Explainable artificial intelligence” articles.
Rapid Cues for Research: COVID-19 Exploratory Search System Using Taxonomies
RCES, Rapid Cues for Exploratory Search is a human-centric search system developed in an attempt to navigate scientific literature related to COVID-19. It is analogous to a telescope that can rapidly discover concepts related to COVID-19 and speed up the process of finding the needle in the haystack of the knowledge pool. It is built on top of knowledge discovery techniques enabling users to explore COVID-19 concepts easily.
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