Ahmed Taiye Mohammed

Dr. Mohammed Ahmed Taiye holds a Postdoctoral research fellowship at the Department of Cultural Sciences the Faculty of Arts and Humanities at Linnaeus University Vaxjo, Sweden.

He obtained both his Masters and his Ph.D. degree from the Northern University of Malaysia (UUM). His thesis is titled "An enhanced Sequential Exception Technique for semantic-based text anomaly detection". He has published articles in the field of text mining link and has produced several video tutorials on how to use Orange and Python for text analytics.

Teaching

Digital Humanities Research Methods (4dh410)

Programming for Digital Humanities, 4ME502

Digital Humanities, Master Thesis - two year master level - 30 hp - Växjö

22VT - 4DH426 - Linked Data for Cultural Heritage and the Humanities - 7,5 hp

21HT - 4ME501 - Programming for Digital Humanities - 15 hp

22VT - 4ME503 - Interactive Technologies for Digital Humanities

22HT - 4ME304 - Social Media Ecosystems - 7,5 hp

22HT - 1DV515 - Data Mining in Practice - 7,5 hp

22HT - 4XN020 - Artificiell intelligens inom vård och omsorg - möjligheter och utmaningar - 7,5 hp

22VT - 5IK50E - Degree Project in Informatics at Master level - 30 hp

23VT - 5DH10E - Digital Humaniora, master examensarbete

Research

Dr Mohammed is currently investigating various approaches and possible solutions for challenges related to Digital Humanities. Special focus is given to the exploration of text mining and AI techniques and their applications within the field of DH. He is also involved in a research activity exploring the use and application of AI in education as well as aspects connected to Computational Thinking and programming for non-engineer students https://lnu.se/en/research/searchresearch/computational-thinking-and-coding-skills-in-schools-cocos/.

Commissions

https://extendt2.eu/the-team/

My research groups

E-health – Improved Data to and from Patients The research in the e-health area within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) will result in novel ways for…

My ongoing research projects

Publications

Article in journal (Refereed)

Velander, J., Mohammed, A.T., Otero, N., Milrad, M. (2024). Artificial Intelligence in K-12 Education : eliciting and reflecting on Swedish teachers' understanding of AI and its implications for teaching & learning. Education and Information Technologies : Official Journal of the IFIP technical committee on Education. 29. 4085-4105.
Status: Published
Golub, K., Suominen, O., Mohammed, A.T., Aagaard, H., Osterman, O. (2024). Automated Dewey Decimal Classification of Swedish library metadata using Annif software. Journal of Documentation.
Status: Epub ahead of print
Sarah, T.A., Wleed, A.A., Mohammed, A.T. (2023). Comparison of Some Acoustic Noise Models and Their Effect on the Acoustic Diagnosis of Social Media Fingerprints. Journal of Techniques. 5 (2). 206-213.
Status: Published
Yusuf, B., Mohammed, A.T., Milrad, M. (2022). An overview of remote teaching : employing active learning to engage students during COVID-19 pandemic in higher education. International Journal of Education, Psychology and Counseling. 7 (46). 364-383.
Status: Published

Article in journal (Other academic)

Yusuf, B., Mohammed, A.T. (2021). A flipped learning environment : a disruptive approach for traditional classrooms?. International Journal of Education, Psychology and Counseling. 6 (42). 83-93.
Status: Published

Conference paper (Refereed)

Haroon-Sulyman, S.O., Mohammed, A.T., Kamaruddin, S.S., Ahmad, F.K. (2024). Systematic Literature Review and Bibliometric Analysis on Addressing the Vanishing Gradient Issue in Deep Neural Networks for Text Data. Computing and Informatics : 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part I. 168-181.
Mansor, N.S., Awang, H., Malami, S.T.S., Zolkafli, A., Mohammed, A.T., et al. (2024). Support Vector Machine for Satellite Images Classification Using Radial Basis Function Kernel Method. Computing and Informatics : 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part I. 301-312.
Velander, J., Mohammed, A.T., Otero, N., Milrad, M., Zijlema, A. (2023). Reflections on Methods for Eliciting Teachers Understanding, Attitudes and Emotions About AI. Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference. 124-135.
Kamaruddin, S.S., Ahmad, F.K., Mohammed, A.T. (2022). LDA Based Topic Modeling on Hospital Facebook Posts. Recent Advances in Soft Computing and Data Mining. SCDM 2022. 140-149.