About me

Mohammed Ahmed Taiye
PhD · Researcher · AI Enthusiast · Linnaeus University, Växjö, Sweden
I am interested in conceptualizing and building intelligent systems that helps people learn, communicate, and make better decisions. My work sits at the intersection of AI, natural language processing, and education using technology as a meaningful tool to address real-world challenges.
I enjoy collaborating across disciplines and institutions to create research that is both rigorous and impactful.
NLP
Machine Learning
Learning Analytics
Generative AI
Digital Humanities
Health Informatics
"I believe the most effective solutions arise from the intersection of rigorous methodology, creative thinking, and clear communication helps us see our learners and world more clearly."
Collaboration network
Interactive visualisation — Research topic network
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Selected work — research projects
Generative AI
AWAITS (Academic Writing AI Tutoring System)
Linnaeus University Seed Fund · 2024 · Lead Researcher
A Generative AI chatbot using Retrieval-Augmented Generation (RAG) to enhance students' academic writing and critical thinking. Published in ACM SIGAPP.
EU Horizon Europe
Exten(DT)² — Design Thinking with Emerging Tech
Horizon Europe · Innovate UK · €3M+ · 2022–2026 · Technical Co-Lead
EU Horizon Europe and Innovate UK funded project integrating AI, AR, and design thinking into K-12 education. Co-lead for technical specifications.
Cultural Tech
Inkuis — Cultural Discovery Platform
Kamprad Family Foundation · 2022–2027 · WP4 Lead
A GenAI-powered platform connecting people with local cultural events in the Kronoberg region. Led WP4 Functional Requirements.
Health Data Science
HDS Next Level — Health Data Science
EU Digital Europe · Vinnova · 2024–2027 · WP3 Contributor
Part of the European Digital Innovation Hubs (EDIH) network. Supporting SMEs and public sector organisations to develop AI and health data innovation.
NLP Research
Multilingual Emotion Analysis
ACM ICMR 2025 · Lead Author
Large-scale NLP pipeline analysing emotional discourse across 1.5 million multilingual tweets on the Russo-Ukrainian conflict using RoBERTa and BERTopic.
Digital Humanities
Antiquity Geographic Regions Tool
Durham · MIT · LNU Huminfra · 2024 · Co-Developer
Interactive visualisation of place names from Antiquity journal abstracts (1927–2015). Collaboration between Durham University, MIT, Huminfra Sweden, and Linnaeus.
Academic journey & research output
AI & NLP
Education / AIEd
Data Science
Health Informatics
Digital Humanities
2017–2019
PhD Research — Semantic NLP & Anomaly Detection
6+ publications: semantic similarity, word sense disambiguation, text anomaly detection. Framework for semantic-based anomaly detection. UUM Generation Research Grant (SO Code 13436).
2018–2021
Data Science & Topic Modeling
LDA-based topic modeling on hospital Facebook posts. Graph-based sentence similarity. Blockchain applications in supply chain management. IoT knowledge among indigenous youngsters.
2021–2022
Remote Teaching & Flipped Learning
Active learning engagement during COVID-19. Flipped learning as disruptive approach. Postdoctoral research begins at Linnaeus University, Sweden.
2023
AI in K-12 Education (Most-cited: 303+ citations)
Swedish teachers' understanding of AI implications. Systematic review on vanishing gradient in deep networks. Educators' perceptions of AI and social-intelligent robots.
2023–2024
Data Science & Learning Analytics
Predictive modeling of student performance using LSTM. SVM for satellite image classification. Automated Dewey Decimal Classification of library metadata using Annif.
2024
Digital Humanities & Text Mining
Antiquity Geographic Regions Tool (Durham/MIT/Huminfra). Digital excavations: text mining for archaeology. Programming education and computational thinking in DH.
2024–2025
Generative AI & Multilingual NLP
AWAITS (RAG for academic writing). CHAT4ISP-AI. Multilingual emotion analysis on 1.5M tweets (ACM ICMR 2025). Intelligent patent processing with RAG.
2025
Game-Based Learning & Design Thinking
Play2Inform: ChoiCo game-based design thinking. K-12 students' sentiments on AI (IEEE ICETC). Beyond code: critical reasoning through interactive technologies.
2025–Present
Emerging Research (In-view publications)
Sentiment-based fraud detection in Fintech. Mental health risk factors in students (data-driven). LLM integration in Nigerian universities. YouTube content policy emotional analysis.
2024–2027
Health Informatics & EDIH Network
HDS Next Level: supporting SMEs and public sector AI adoption in health. TLDraw for health expert workflow simulation.
Academic years
2015 – 2019
Ph.D. in Computer Science
Universiti Utara Malaysia, Kedah, Malaysia
DoctorateSpecialisation in Natural Language Processing, semantic text analysis, anomaly detection, and word sense disambiguation. Produced 6+ publications across international conferences.
2013 – 2014
M.Sc. in Information Technology
Universiti Utara Malaysia, Kedah, Malaysia
MastersAdvanced study in IT systems, software engineering, and information management. Built foundations for doctoral research in computational linguistics.
2007 – 2010
B.Sc. in Computer Science
University of Ilorin, Kwara State, Nigeria
UndergraduateFoundation degree covering algorithms, data structures, software development, and systems design.
2004 – 2007
National Diploma in Mathematics, Statistics & Computer Science
Kaduna Polytechnic, Kaduna, Nigeria
DiplomaStrong interdisciplinary foundation in quantitative methods and computing principles.
2004
West African Examination Council (WAEC)
Secondary School Certificate
MatriculationCompleted secondary education with a focus on sciences and mathematics.
Educational Scholarships / Sponsorships / Grants
2015-2018
UUM Post Graduate Student Scholarship Scheme (262 BSPG-UUM)
Universiti Utara Malaysia
Full ScholarshipCompetitive university scholarship awarded to outstanding doctoral candidates.
2016
Global Based Learning Program (GBPL)
Shibaura Institute of Technology, Tokyo, Japan
SponsorshipsFully sponsored international research and cultural exchange program in Tokyo, Japan.
2018
UUM Generation Research Grant Scheme (SO Code 13436)
Universiti Utara Malaysia
Research GrantCompetitive research grant supporting innovative work in NLP and semantic analysis.
"Learning never exhausts the mind — it fuels the curiosity that drives discovery across disciplines and continents."
Work experience
2025 – Present
Researcher
Linnaeus University (LNU), Sweden
Teaching and research across Programming, Text Mining/Analytics, AI/ML, AIEd, and Health Informatics.
2021 – 2025
Postdoctoral Fellow
Linnaeus University (LNU), Sweden
Teaching and research in Digital Humanities, AIEd, and Health Informatics. Conducted research articles and collaborated on national and international projects.
2020 – 2021
Lecturer
Air Force Institute of Technology (AFIT), Nigeria
Taught Computer Science and Cybersecurity. Coordinated research projects and organised seminars for faculty.
2016 – 2019
Research Assistant
Universiti Utara Malaysia (UUM), Malaysia
Engaged in research activities, wrote Python code, and conducted NLP research tasks during doctoral studies.
Community service
Peer
Review2021–Present
Review2021–Present
Reviewer — ACM · IEEE · Springer
International Venues
Active peer reviewer for leading AI and educational technology publication venues.
Seminar
Leadership2020–2021
Leadership2020–2021
Seminar & Training Organiser
AFIT, Nigeria
Organised seminars and training sessions for faculty teachers within and outside the department.
Open
Science2022–Present
Science2022–Present
Open Access Advocate
Zenodo · DiVA
Archiving datasets, tools, and publications openly on Zenodo and DiVA.
MentoringOngoing
Mentoring/Counselling and Guidance
Voluntary Support
Supporting young researchers, mentoring, and providing guidance counselling. Voluntary sessions on research and study application process (SOP).
Hobbies
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SprintingEvening miles
ReadingSci-fi & AI
Travel3 continents
GamingStrategy & puzzle
Get in touch
Email
ahmedtaiye.mohammed@lnu.se
Best for collaboration enquiries
Institution
Linnaeus University, Sweden
Växjö campus
Office
H312, Linnaeus University
Växjö, Sweden
Technical competencies
AI & NLP (92%)
Data Viz (88%)
Programming (78%)
Platforms (85%)
Teaching (90%)
Languages & Frameworks
AI & NLP
Data Visualisation
Platforms & Tools