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Fatemeh Hendijani Fard
Computer Science, Data ScienceOffice: SCI 266
Graduate student supervisor
Software engineering; machine learning; multiagent systems; data analytics.
Courses & Teaching
Computer science; data science.
I am interested in the applications of data science and machine learning for software engineering. Specifically I am working on the detection and prediction of defect/anomalous behaviour in software. This also requires using big data analysis in practice. Previously, I have worked on the detection of anomalous behaviour and emergent behaviour in MultiAgent Systems. Currently, we are analyzing software energy bugs in mobile applications from two perspectives: Software and Users. We analyze massive sets of data from GitHub for a personalized recommender system for GitHub users. The main analysis for this project comes from the similarity of software projects. Secondly, we are analyzing comments and reviews from social network platforms and other sites such as Twitter, and Google Play in addition to time series analysis of the users’ input to gain more insights about mobile applications’ energy bugs. This is combined with other application ranking input data from various resources such as Avast and Google Play to get a richer analysis for mobile applications. The corresponding visualization of the results will be published on the website in a few months.
PhD University of Calgary
MSc Amirkabir University
BSc Sharif University of Technology
Research Interests & Projects
- Mining Github repositories
- Natural language processing for software analytics
- Analyzing software defect databases
- Social media analysis in software analytics
- Analyzing mobile applications
Selected Publications & Presentations
Selected Grants & Awards
- CFI – JELF (under review)
- NSERC Discovery (under review)
- UBC Start-up Fund, 2018
- Izaak Walton Killam Memorial Scholarship, 2014 – 2016
- Alberta Innovates Technology Futures (AITF), 2013 – 2015
- Eyes High Leadership, 2013
- Research Productivity Awards, 2012 – 2015
Committee Member, ICSE SEIP 2019
Committee Member, IEEE Transactions on Cybernetics
Referee, Springer Lecture Notes in Social Networks