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.

Expertise

Back to staff profile

Prize And Awards

SICSA Artificial Intelligence & Data Science Theme Leader: Recipient; 2023
BCS-IRSG Inclusion Officer: Recipient; 2021
SICSA Data Science Theme Leader: Recipient; 2018
Honorary Lecturer, School of Computing Science, University of Glasgow: Recipient; 2017
Outstanding Reviewer Award: Recipient; 2017
Strathclyde Global Talent Programme Chancellor’s Fellowship: Recipient; 2017

More prizes and awards

Publications

Back to staff profile

Publications

Prediction of the realisation of an information need : an EEG Study: McGuire Niall, Moshfeghi Yashar; Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24) The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024); https://doi.org/10.1145/3626772.3657981
Prediction of the realisation of an information need : an EEG study: McGuire Niall, Moshfeghi Yashar; The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024)
GOLD : geometry problem solver with natural language description: Zhang Jiaxin, Moshfeghi Yashar; 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (2024)
More technology? Evaluating the effectiveness of smart thermostats: Prochacki Pat, Thomas Daniel, Moreno-Rangel Alejandro, Moshfeghi Yashar; UKIEG Annual Conference 2024 UKIEG Annual Conference 2024, pp. 22-23 (2024)
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 (2024)
Text-based sentiment analysis in finance : synthesising the existing literature and exploring future directions: Todd Andrew, Bowden James, Moshfeghi Yashar; Intelligent Systems in Accounting, Finance and Management Vol 31 (2024); https://doi.org/10.1002/isaf.1549

More publications

Teaching

Back to staff profile

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

Back to staff profile

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

Alzheimer's Association International Conference (AAIC) 2024: Participant; 28/7/2024
Scottish Dementia Research Consortium Annual Conference 2024: Participant; 14/6/2024
SINAPSE Annual Scientific Meeting 2024: Participant; 12/6/2024
Alzheimer’s Association International Conference 2023 (AAIC®): Participant; 16/7/2023
15th SINAPSE Annual Scientific Meeting: Participant; 14/6/2023
Scottish Dementia Research Consortium Annual Conference 2023: Participant; 25/4/2023

More professional activities

Projects

Participatory Harm Auditing Workbenches and Methodologies (PHAWM): Moshfeghi, Yashar (Principal Investigator) Azzopardi, Leif (Co-investigator) Ruthven, Ian (Co-investigator); 01-Jan-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-Jan-2022 - 01-Jan-2027
EPSRC iCase PhD Studentships: Moshfeghi, Yashar (Principal Investigator); 01-Jan-2020 - 01-Jan-2023
Strathclyde Doctoral School Centre in FinTech – Awarded internally through competition: Moshfeghi, Yashar (Principal Investigator); 01-Jan-2020 - 01-Jan-2023
Using Chatbot Technology To Assure Quality Knowledge Capture From Space: Vasile, Massimiliano (Principal Investigator) Azzopardi, Leif (Co-investigator) Minisci, Edmondo (Co-investigator) Moshfeghi, Yashar (Co-investigator); 01-Jan-2020 - 31-Jan-2024
EPSRC SEA PhD Funding – Awarded internally through competition: Moshfeghi, Yashar (Principal Investigator); 01-Jan-2019 - 01-Jan-2022