Projects per year
Personal profile
Personal Statement
I am a Reader (Associate Professor) in Artificial Intelligence and Data Science at the University of Strathclyde, where I have founded and lead the NeuraSearch Laboratory. Our laboratory bridges human intelligence to artificial intelligence by operating at the forefront of Neuroscience, Data Science, and AI.
Within the NeuraSearch Laboratory, our focus is on the development of cutting-edge Recommender Systems and Information Retrieval Systems. We specialize in harnessing Natural Language Processing, Language Modeling, Machine Learning, and Deep Learning techniques to create innovative solutions. Specifically, we concentrate on identifying, understanding, and modelling brain activities related to complex information search processes.
These innovative areas of research have yielded more than 90 publications to date, including peer-reviewed journals and full conference papers. Our research has a wider appeal beyond academia, fostering collaborations with various companies through initiatives like KTP, KE, and consultancy projects.
If you are a highly motivated individual seeking opportunities for PhD, Post-doc, Fellowships (e.g. Newton International Fellowship, Marie-Curie Postdoctoral Fellowship, etc.) or short-term projects (e.g., ERASMUS, Commonwealth, etc.) within the dynamic environment of the NeuraSearch Laboratory, I encourage you to reach out. Your enthusiasm for advancing knowledge in these fields would be a valuable addition to our collaborative and forward-thinking team.
Research Interests
My research vision has been to develop the underlying and core technology of "pro-active" information systems, which has an essential and challenging data science task: accurately infer and predict the immediate information needs of users by processing, analysing, and learning from abundant big data gathered from various sources including brain activation data gathered via MRI and EEG devices. My research interests and expertise are in line with Neuroscience, Information Retrieval, Natural Language Processing, Data Mining, Machine Learning and Deep Learning. My interests, however, are extended beyond Information Retrieval and pertain to rigorously understanding the world of Data Science and Artificial Intelligence.
Teaching Interests
Current Modules:
- Fundamentals of Machine Learning for Data Analytics
- Advance Machine Learning Techniques
Past Modules:
- Big Data Fundamentals
- Big Data Tools and Techniques
Education/Academic qualification
Postgraduate Certificate in Academic Practice (PGCAP), University of Glasgow
Award Date: 2 Mar 2016
Doctor of Philosophy, Computer Science – Information Retrieval , University of Glasgow
Award Date: 1 Mar 2012
Master in Science, Computer Science, University of Glasgow
Award Date: 30 Aug 2007
External positions
Honorary Senior Research Fellow, University of Glasgow
2024 → …
Honorary Lecturer, University of Glasgow
2017 → 2024
Keywords
- Information Retrieval
- Brain Computer Interfaces
- Neuroscience
- Artificial Intelligence
- Data Science
- Information Science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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Collaborations and top research areas from the last five years
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£24,868 - ESRC IAA - Children’s Right to Clean Air in Education: Embedding Indoor Air Quality Monitoring in Schools and Nurseries
Moshfeghi, Y. (Co-investigator), Sharpe, T. (Principal Investigator) & Farooq, M. Z. (Researcher)
1/04/26 → 31/12/26
Project: Internally funded project
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£14,926.50 - ESRC-IAA Inclusive Innovation for Gen-AI: Training Development Project
Moshfeghi, Y. (Principal Investigator), McGeown, W. (Co-investigator) & Rogers, C. (Researcher)
2/02/26 → 31/12/26
Project: Internally funded project
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Electroencephalography subject detection: opportunity or threat?
McGuire, N. & Moshfeghi, Y., 30 May 2026, In: Human-centric Computing and Information Sciences. 16, 15 p., 30.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Downloads (Pure) -
On the use of electroencephalography in query performance prediction
Tenedios, I., McGuire, N. & Moshfeghi, Y., 29 May 2026, (E-pub ahead of print) In: ACM Transactions on Information Systems. p. 1-33 33 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure)
Datasets
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Data for "Learning the limits: how data, diversity, and representation control machine-learning predictions of reorganisation energy"
Zollner, M. (Creator), Nematiaram, T. (Contributor) & Moshfeghi, Y. (Contributor), University of Strathclyde, 12 Feb 2026
DOI: 10.15129/fbb78cbc-64e5-4c24-983a-d258a1e92367
Dataset
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EEG-QPP: An EEG-enhanced Query Performance Prediction Dataset
McGuire, N. (Creator), Tenedios, I. (Creator) & Moshfeghi, Y. (Creator), University of Strathclyde, 12 May 2026
DOI: 10.15129/f6d3c23b-22c5-484e-880d-b767de7afc5f
Dataset
Prizes
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ACM SIGIR Conference Outstanding Reviewer Award
Moshfeghi, Y. (Recipient), 2025
Prize: Prize (including medals and awards)
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BAE PhD of the Year (Nomination)
McGuire, N. (Recipient) & Moshfeghi, Y. (Recipient), 2024
Prize: Prize (including medals and awards)
Activities
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SINAPSE Annual Scientific Meeting
Rogers, C. (Speaker), McGeown, W. (Participant) & Moshfeghi, Y. (Participant)
16 Jun 2026Activity: Presenting or Organising an Event › Participation in conference
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Designing Glasgow's Heritage chatbots
Kist, C. (Presenter), Barrie, D. (Presenter) & Moshfeghi, Y. (Presenter)
10 Jun 2026 → 12 Jun 2026Activity: Public Engagement and Outreach › Public Events