Personal profile
Research Interests
Dr. Markus Hofmann is currently Senior Lecturer at the Technological University Dublin in Ireland where he focuses on the areas of data mining, text mining, data exploration and visualisation as well as business intelligence. He holds a Ph.D. from Trinity College Dublin, an MSc in Computing (Information Technology for Strategic Management) from the Dublin Institute of Technology and a BA in Information Management Systems. He has taught extensively at undergraduate and postgraduate level in the fields of Data Mining, Information Retrieval, Text/Web Mining, Data Mining Applications, Data Pre-processing and Exploration and Databases. Dr. Hofmann published widely at national as well as international level and specialised in recent years in the areas of Data/Text Mining, learning object creation, and virtual learning environments. Further he has strong connections to the Business Intelligence and Predictive Analytics sector both on an academic as well as industry level.
Dr. Hofmann has worked as technology expert together with over 30 different organisations in recent years including companies such as Intel, RapidMiner and many successful start-ups. Most of his involvement was on the innovation side of technology services and products where his contributions had significant impact on the success of such projects.
He is a member of the Register of Expert Panellists of Quality and Qualifications Ireland, external examiner for three third level institutes and a specialist in undergraduate and post graduate course development. He has been internal as well as external examiner of postgraduate thesis submissions. He was also general, local and technical chair of national and international conferences. Dr. Hofmann is the editor two data science books published by Chapman & Hall.
Professional Information
Data Science, Text Analysis, Data Exploration
Education/Academic qualification
PhD
Award Date: 1 Jan 2008
PhD
Award Date: 1 Jan 2008
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Collaborations and top research areas from the last five years
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Association Rules Mining: A Method for Pattern Discovery on Sign Language Corpus Data
Smith, R. & Hofmann, M., Jul 2025, proceedings of the thirteenth international Corpus Linguistics conference (CL2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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LLMs in Open and Closed Book Examinations in a Final Year Applied Machine Learning Course (Early Findings).
Quille, K., Gordon, D., Hofmann, M., Becker, B. A., Harte, M., Nolan, K., Faherty, R., Hensman, S. & O’Leary, C., 8 Jul 2024, p. 822. 1 p.Research output: Contribution to conference › Poster › peer-review
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Machine vs Machine: Large Language Models (LLMs) in Applied Machine Learning High-Stakes Open-Book Exams
Quille, K., Alattyanyi, C., Becker, B. A., Faherty, R., Gordon, D., Harte, M., Hensman, S., Hofmann, M., García, J. J., Kuznetsov, A., Marais, C., Nolan, K., Nicolai, C., O’Leary, C. & Zero, A., 2024, In: Revista de Educación a Distancia. 24, 78, 4.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Automated extraction of genes associated with antibiotic resistance from the biomedical literature
Brincat, A. & Hofmann, M., 2022, In: Database. 2022, 2022, baab077.Research output: Contribution to journal › Article › peer-review
Open Access -
English Language Spelling Correction as an Information Retrieval Task Using Wikipedia Search Statistics
Goslin, K. & Hofmann, M., 2022, 2022 Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). European Language Resources Association (ELRA), p. 458-464 7 p. (2022 Language Resources and Evaluation Conference, LREC 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review