Research output per year
Research output per year
Personal profile
Professional Information
Dr M. Atif Qureshi, based in TU Dublin, is a lecturer in Data Analytics. Atif is an active funded researcher, and his research focuses on natural language processing, machine learning, explainable artificial intelligence, disinformation space, and social media analytics. Among his recent noticeable contribution, Atif has completed an exploratory search project used by medical professionals under SFI COVID-19 rapid response call. Among his research contributions, his work is referenced on Wikipedia's Word Embedding article as a pioneer contribution in the Explainable AI discourse. Before the current appointment, Atif had contributed as technical lead to EU, EI, SFI funded projects and licensed an outcome to a leading media organisation of Ireland in the space of social media analytics. Atif is passionate about applied research and has authored over 40+ peer-review research publications.
Research interests
Data Analytics, Text Mining, Business Analytics, Knowledge Graphs
Education/Academic qualification
PhD, National University of Ireland, Galway
Award Date: 1 Sep 2015
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges
Wang, S., Qureshi, M. A., Miralles-Pechuan, L., Huynh-The, T., Gadekallu, T. R. & Liyanage, M., 2024, In: IEEE Open Journal of the Communications Society. 5, p. 2490-2540 51 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Explainable AI in Healthcare: Systematic Review of Clinical Decision Support Systems
Aziz, N. A., Manzoor, A., Qureshi, M. D. M., Qureshi, M. A. & Rashwan, W., 10 Aug 2024Research output: Other contribution
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Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate
Qureshi, M. A., Younus, A. & Caton, S., 2024, Web Engineering - 24th International Conference, ICWE 2024, Proceedings. Stefanidis, K., Systä, K., Matera, M., Heil, S., Kondylakis, H. & Quintarelli, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 34-48 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14629 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Using Explainable AI (XAI) for Identification of Subjectivity in Hate Speech Annotations for Low-Resource Languages
Sawant, M., Younus, A., Caton, S. & Qureshi, M. A., 10 Sep 2024, OASIS 2024 - Proceedings of the 2024 Workshop on Open Challenges in Online Social Media, Held in conjunction with the 35th ACM Conference on Hypertext and Social Media, HT 2024. p. 10-17 8 p. (OASIS 2024 - Proceedings of the 2024 Workshop on Open Challenges in Online Social Media, Held in conjunction with the 35th ACM Conference on Hypertext and Social Media, HT 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
ChatGPT: A tool to embrace or ban in Academia?
Qureshi, M. A., 20 Jun 2023, In: Irish Journal of Academic Practice. 11, 1Research output: Contribution to journal › Article › peer-review
Open Access