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Yashar Moshfeghi

Using Data Science and in particular Information Retrieval, Big Data and Applied Machine Learning, I seek to develop the underlying and core technology for “pro-active” information systems. My research is directed at addressing a critical and challenging data science task: to processing, analysing, and learning from the abundant streams of heterogeneous data about individuals and their environment gathered from recent technological advances such as MRI, EEG, Internet-enabled wearable devices, smartphones, social media and smart cities.

Education

  • PGCAP 2016

    Postgraduate Certificate in Academic Practice

    The University of Glasgow, Glasgow, United Kingdom

  • Ph.D. 2012

    Ph.D. in Computer Science – Information Retrieval

    The University of Glasgow, Glasgow, United Kingdom

  • M.Sc. 2007

    M.Sc. Computer Science (with Merit) – Information Retrieval

    The University of Glasgow, Glasgow, United Kingdom

Academic Positions

  • PresentDec 2020

    Associate Professor

    Department of Computer & Information Sciences, University of Strathclyde

  • PresentAug 2017

    Honorary Lecturer

    School of Computing Science, University of Glasgow

  • Nov 2020July 2017

    Chancellor’s Fellow / Lecturer

    Department of Computer & Information Sciences, University of Strathclyde

  • Jun 2017Nov 2014

    Research Associate

    Urban Big Data Centre, University of Glasgow

  • Oct 2014Jul 2012

    Research Assistant

    School of Computing Science, University of Glasgow

  • Dec 2011Oct 2011

    Visiting Researcher

    Yahoo! Research Lab in Barcelona, Spain

  • Jan 2010Oct 2007

    Research Student

    School of Computing Science, University of Glasgow

I always like to look on the optimistic side of life, but I am realistic enough to know that life is a complex matter.

Awards, and Grants

  • 2018
    Large Scale H2020 - Research Infrastructure for Science and Innovation Studies 2 (RISIS II)
    Role: Co-Investigator – Year: 2018 – Duration: 48 months – Total amount of 6,8000,000 Euros (Total for Strathclyde 244,000 Euros) –The Strathclyde share will be divided 50/50 with Abdullah Gök (at Strathclyde Business School, acting as a Principle Investigator) and I (Department of Computer and Information Sciences, acting as a Co-Investigator)
  • 2018
    KTP Application with BiP Solutions
    Role: Co-Investigator – Year: 2018 – Duration: 2 years – 244,255 pounds (divided 50/50 with Leif Azzopardi)
  • 2018
    Large DataLab Project with BiP Solutions
    BiP Tracker – Search and Recommendation – Role: Principle Investigator – Year: 2018 – Duration: 4 months (Approved) – 30,000 pounds
  • 2017
    Outstanding Reviewer at ACM Special Interest Group on Information Retrieval (SIGIR) in 2017
  • 2017
    Awarded a highly competitive five-year Chancellors Fellowship in Data Science (2017-2022)
  • 2017
    Small DataLab Project with BiP Solutions
    Initial Analysis of Search and Recommendation Functionality [Completed] – Role: Co Investigator – Year: 2017 – Duration: 1 months (Approved) – 5,000 pounds
  • 2017
    LTDF - Learning and Teaching Development Fund
    Investigation of student anxiety/stress and evaluation of online anxiety/stress reduction resources for student support – Role: co-investigator with Dr. Maria Gardani – Year: 2017 – Duration: 8 months (Approved) – £2,925 pounds
  • 2017
    Innovation Voucher Project with Newsline Company
    Automating News Curation Pipelines (Innovation Vouchers – £5K) [Completed] – Role: Principle investigator – Year: 2017 – Duration: 2 years (Approved) – 5,000 pounds
  • 2016
    Best Paper at ACM Special Interest Group on Information Retrieval (SIGIR) in 2016
    Moshfeghi, Y., Triantafillou, P. and Pollick, F.E., 2016, July. Understanding information need: An fmri study. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (pp. 335-344). ACM.
  • 2016
    ELIAS - Science Meeting Funding - Lucene4IRevaluation
    Developing IR Evaluation Resources using Lucene – Role: co-investigator with Dr. Leif Azzopardi – Year: 2016 – Duration: 2-day Workshop (Approved) – 7,650 Euros
  • 2015
    School of Computing Science Research Funding
    Summer Research Project – Clinically-aware Assistive Text Input for Electronic Health Records – Role: Principle investigator – Year: 2016 – Duration: 3 months (Approved) – 2,500 pounds
  • 2015
    EPSRC - Summer Vacation Scholarship
    Understanding the City with Urban Informatics – Role: Principle investigator – Year: 2016 – Duration: 3 months (Approved) – 2,500 pounds
  • 2014
    Awarded Postgraduate Certificate in Higher Education (PGCAP) Certificate
  • 2014
    Open Glasgow Hackathon
    The Transport Future Hack – Role: Project Manager – Year: 2014 – Duration: 2 days – Won 20,000 pounds seed money to further develop of our project
  • 2013
    Best Paper at European Conference in Information Retrieval (ECIR) in 2013
    Moshfeghi, Y., Pinto, L.R., Pollick, F.E. and Jose, J.M., 2013, March. Understanding relevance: an fMRI study. In European Conference on Information Retrieval (pp. 14-25). Springer, Berlin, Heidelberg.
  • 2013
    EPSRC - Summer Research Projects
    Sponsored Search Advertising Models – Role: Principle investigator – Year: 2013 – Duration: 3 months (Approved) – 2,500 pounds
  • 2012
    Obtained PhD in Information Retrieval in 2012
  • 2010
    Best Poster at European Conference in Information Retrieval (ECIR) in 2010
    Piwowarski, B., Frommholz, I., Moshfeghi, Y., Lalmas, M. and Van Rijsbergen, K., 2010, March. Filtering documents with subspaces. In European Conference on Information Retrieval(pp. 615-618). Springer, Berlin, Heidelberg.