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Biography
Professor Hussain Mahdi (Abdulhussain E. Mahdi) is the Leader of the Text Analytics & Knowledge Organisation (TAKO) Research Group at the Department of Electronic and Computer Engineering, University of Limerick (UL), Ireland (http://tako.ul.ie). He is Director of the Regional Peer-Supported Learning Centre UL and Joint Director of the ICT Learning Centre UL. He is a Chartered Engineer (CEng), Member of the Institution of Engineering and Technology and Member of the Engineering Council (1994-2017). Prof. Mahdi is a Graduate in Electrical Engineering from the University of Basrah (BSc 1st class 1978) and earned his PhD in Electronic Engineering at the University of Wales Bangor, UK in 1990. He is also a SEDA Accredited Teacher of Higher Education (SEDA & University of Plymouth, UK 1998). His current research focuses on text data mining & analytics, knowledge organisation & linked data, information retrieval & information extraction, as well as signal, speech, and NLP. His research interests also include learning analytics, inquiry-based learning, collaborative and student-centred active learning. He has authored and co-authored more than 150 peer-reviewed journal articles, book chapters, and conference papers, and has edited two books.
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Combining words and concepts for automatic arabic text classification
Alahmadi, A., Joorabchi, A. & Mahdi, A. E., 2018, Arabic Language Processing: From Theory to Practice - 6th International Conference, ICALP 2017, Proceedings. Bouzoubaa, K., Hamdani, A., Lachkar, A., Lachkar, A., Mazroui, A. & Lekhouaja, A. (eds.). Springer Verlag, p. 105-119 15 p. (Communications in Computer and Information Science; vol. 782).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improving the visibility of library resources via mapping library subject headings to Wikipedia articles
Joorabchi, A. & Mahdi, A. E., 7 Feb 2018, In: Library Hi Tech. 36, 1, p. 57-74 18 p.Research output: Contribution to journal › Article › peer-review
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KEYSTONE Activities and Results Overview on Enabling Mobility & Fostering Collaborations Through STSM
Mahdi, A. E., 2018, Semantic Keyword-Based Search on Structured Data Sources - 3rd International KEYSTONE Conference, IKC 2017, Revised Selected Papers and COST Action IC1302 Reports. Szymanski, J. & Velegrakis, Y. (eds.). Springer Verlag, p. 239-259 21 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10546 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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On the origin of detected signals and performance of our displacement current contactless sensor
Mahdi, A. E. & Faggion, L., 15 Aug 2016, In: Sensors and Actuators, A: Physical. 247, p. 415-417 3 p.Research output: Contribution to journal › Letter › peer-review
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Text mining stackoverflow: An insight into challenges and subject-related difficulties faced by computer science learners
Joorabchi, A., English, M. & Mahdi, A. E., 7 Mar 2016, In: Journal of Enterprise Information Management. 29, 2, p. 255-275 21 p.Research output: Contribution to journal › Article › peer-review