Explainable Analytics Group
TU Dublin
Nominated Award:
Best Application of AI in an Academic Research Body
Website of Company (or Linkedin profile of Person):
https://www.linkedin.com/in/m-atif-qureshi-229a4929/
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 via the use of Explainable Artificial Intelligence.
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 and 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.
Reason for Nomination:
Dr Muhammad Atif Qureshi’s research in AI has been at the forefront of making an impact in Irish society which began in 2020 during the height of COVID19 pandemic when he won funding under Science Foundation Ireland’s rapid response call. This call funded researches that could make a potentially long-lasting impact within Irish healthcare and help emergency responders towards AI solutions to help facilitate their progress towards solving COVID19 crisis in Ireland – the solution developed by Dr M. Atif Qureshi Rapid Cues for Exploratory Search 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 AI-based knowledge discovery techniques enabling users to explore COVID-19 concepts easily. A demo of the project can be found at
https://www.youtube.com/watch?v=67yCmwWAjN8
Currently an advanced version of the search system is being deployed over HSE (Health Service Executive) Ireland’s library information systems in an attempt to deal with future health emergency situations.
More recently Dr Qureshi won funding from Irish Research Council for a project titled InEire: Towards an Inclusive Ireland through an Economic Assessment of Anti-Immigrant Sentiment in Ireland. Some details of this project can be found here https://www.tudublin.ie/research/news/tu-dublin-researcher-dr-muhammad-atif-qureshi-awarded-irc-funding-.html – chiefly this project is an ongoing effort to bridge artificial intelligence and social science by assessing the situation of anti-immigrant sentiment in Ireland. Immigration is a complex phenomenon with broad implications for various segments of society. On the one hand it serves as an impetus for equal economic opportunities while also creating some upheaval in societies where heavy immigration takes place. A consequence of this “economic conundrum” is growing anti-migrant sentiment and the resulting political conflict of charged animosity that for example was witnessed during Brexit and President Donald Trump’s Presidency. Ireland has also been a victim of this sentiment as reported in a 2018 report by Irish Human Rights and Equality Commission and Economic & Social Research Institute. There has however been no comprehensive analysis of the factors behind such sentiment and its consequences mainly due to lack of comprehensive data on these. This project is an attempt at building such a collection of data while also providing comprehensive insights into the implications of this data through data analytics.
InEire involves development of an explainable artificial intelligence web monitoring tool that can identify concerns of immigrants in real-time via natural language processing and text mining techniques. Chiefly the highlight of this particular project is use of AI-based knowledge reasoning methods particularly from within domain of natural language processing to study the various aspects of migrants’ integration in Irish society, and what concerns natives share from time to time.
The pdf attached contains two publications that have already been published in prestigious scientific venues; one of the publications is under InEire project (funded by Ireland’s largest research funding body Irish Research Council) and the other under RCES project (funded by Science Foundation Ireland).
File upload:
https://aiawards.ie/wp-content/uploads/ninja-forms/4/dratifqureshi_researchgroup_publications.pdf