Dr Yashar Moshfeghi
Reader
Computer and Information Sciences
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.
Prize And Awards
- Honorary Senior Research Fellow, School of Computing Science, University of Glasgow
- Recipient
- 9/2024
- BAE Stars Award
- Recipient
- 9/2024
- SICSA Director of Research
- Recipient
- 2024
- SICSA Artificial Intelligence & Data Science Theme Leader
- Recipient
- 2023
- BCS-IRSG Inclusion Officer
- Recipient
- 2021
- SICSA Data Science Theme Leader
- Recipient
- 2018
Publications
- Random Forest Classifiers to predict psychotic symptoms in Alzheimer's disease
- Scarfo Sara, Moshfeghi Yashar, McGeown William
- Alzheimer's & Dementia: The Journal of the Alzheimer's Association Vol 20 (2025)
- https://doi.org/10.1002/alz.092242
- FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer’s disease
- Roy Om, Moshfeghi Yashar, Ibanez Agustin, Lopera Francisco, Parra Mario A, Smith Keith
- Network Neuroscience Vol 8, pp. 1467-1490 (2024)
- https://doi.org/10.1162/netn_a_00411
- Neuroanatomical correlates and predictors of psychotic symptoms in Alzheimer's disease : a systematic review and meta-analysis
- Scarfo Sara, Marsella Antonella MA, Grigoriadou Loulouda, Moshfeghi Yashar, McGeown William
- Neuropsychologia Vol 204 (2024)
- https://doi.org/10.1016/j.neuropsychologia.2024.109006
- On the role of activation functions in EEG-to-text decoder
- Lamprou Zenon, Tenedios Iakovos, Moshfeghi Yashar
- 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in conjunction with the 4th Advanced Course and Symposium on Artificial Intelligence and Neuroscience, ACAIN 2024 (2024)
- Mental workload assessment using deep learning models from EEG Signals : a systematic review
- Kingphai Kunjira, Moshfeghi Yashar
- IEEE Transactions on Cognitive and Developmental Systems, pp. 1-27 (2024)
- https://doi.org/10.1109/TCDS.2024.3460750
- GeoEval : benchmark for evaluating LLMs and multi-modal models on geometry problem-solving
- Zhang Jiaxin, Li Zhong Zhi, Zhang Ming Liang, Yin Fei, Liu Cheng Lin, Moshfeghi Yashar
- 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 Findings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 1258-1276 (2024)
- https://doi.org/10.18653/v1/2024.findings-acl.73
Teaching
Current Modules:
- Fundamentals of Machine Learning for Data Analytics
- Advance Machine Learning Techniques
Past Modules:
- Big Data Fundamentals
- Big Data Tools and Techniques
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.
Professional Activities
- Shaping Dementia Care with Generative AI
- Host
- 10/2024
- Dementia in the Age of Gen-AI
- Host
- 27/9/2024
- Alzheimer's Association International Conference (AAIC) 2024
- Participant
- 28/7/2024
- Generative AI Mini Symposium
- Organiser
- 7/2024
- Scottish Dementia Research Consortium Annual Conference 2024
- Participant
- 14/6/2024
- SINAPSE Annual Scientific Meeting 2024
- Participant
- 12/6/2024
Projects
- £1,230 - Funded by Festival of Social Sciences - Shaping Dementia Care with Generative AI
- Moshfeghi, Yashar (Principal Investigator) Rogers, Claire (Post Grad Student)
- 01-Aug-2024 - 31-Oct-2024
- £300 - Funded by Explorathon - Dementia in the Age of Gen-AI
- Moshfeghi, Yashar (Principal Investigator) Rogers, Claire (Post Grad Student)
- 11-Jun-2024 - 27-Sep-2024
- £913.29 - Externally Funded by SICSA - Generative AI Mini Symposium
- Moshfeghi, Yashar (Principal Investigator) Rogers, Claire (Post Grad Student)
- 01-Jun-2024 - 09-Sep-2024
- Participatory Harm Auditing Workbenches and Methodologies (PHAWM)
- Moshfeghi, Yashar (Principal Investigator) Azzopardi, Leif (Co-investigator) Ruthven, Ian (Co-investigator)
- 01-May-2024 - 31-Jan-2028
- Industrial CASE Account - University of Strathclyde 2021 | McGuire, Niall
- Moshfeghi, Yashar (Principal Investigator) Goodfellow, Martin (Co-investigator) McGuire, Niall (Research Co-investigator)
- 01-Sep-2022 - 01-Mar-2027
- Strathclyde Doctoral School Centre in FinTech – Awarded internally through competition
- Moshfeghi, Yashar (Principal Investigator)
- 01-Oct-2020 - 01-Oct-2023
Contact
Dr
Yashar
Moshfeghi
Reader
Computer and Information Sciences
Email: yashar.moshfeghi@strath.ac.uk
Tel: 548 3256