Dr Yashar Moshfeghi

Reader

Computer and Information Sciences

Contact

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.

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Publications

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
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)
On ensemble learning for mental workload classification
McGuire Niall, Moshfeghi Yashar
Machine Learning, Optimization, and Data Science Third Symposium on Artificial Intelligence and Neuroscience Lecture Notes in Computer Science Vol 14506, pp. 358-372 (2024)
https://doi.org/10.1007/978-3-031-53966-4_27
On channel selection for EEG-based mental workload classification
Kingphai Kunjira, Moshfeghi Yashar
Machine Learning, Optimization, and Data Science Third Symposium on Artificial Intelligence and Neuroscience Lecture Notes in Computer Science Vol 14506, pp. 403-417 (2024)
https://doi.org/10.1007/978-3-031-53966-4_30
What song am I thinking of?
McGuire Niall, Moshfeghi Yashar
Machine Learning, Optimization, and Data Science Third Symposium on Artificial Intelligence and Neuroscience Lecture Notes in Computer Science Vol 14506, pp. 418-432 (2024)
https://doi.org/10.1007/978-3-031-53966-4_31

More publications

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Teaching

Current Modules: 

  • Fundamentals of Machine Learning for Data Analytics
  • Advance Machine Learning Techniques

Past Modules:

  • Big Data Fundamentals
  • Big Data Tools and Techniques
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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

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
Strathclyde Doctoral School Centre in FinTech – Awarded internally through competition
Moshfeghi, Yashar (Principal Investigator)
01-Jan-2020 - 01-Jan-2023
EPSRC iCase PhD Studentships
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
Strathclyde Doctoral School Centre in DS4SIE – Awarded internally through competition
Moshfeghi, Yashar (Principal Investigator)
01-Jan-2019 - 01-Jan-2022
Doctoral Training Partnership 2018-19 University of Strathclyde | Meggetto, Francesco
Moshfeghi, Yashar (Principal Investigator) Revie, Crawford (Co-investigator) Meggetto, Francesco (Research Co-investigator)
01-Jan-2019 - 11-Jan-2024

More projects

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Contact

Dr Yashar Moshfeghi
Reader
Computer and Information Sciences

Email: yashar.moshfeghi@strath.ac.uk
Tel: 548 3256