Fatemeh Fard

Dr. Fatemeh Hendijani Fard is an Assistant Professor at the University of British Columbia. With a background in anomaly detection of MultiAgent Systems, she is working on intelligent techniques and tools to help software engineers. Her recent research focuses on machine learning and natural language processing to analyze software artefacts including user feedback and source code. The first one is dedicated to building tools for mobile app software developers using transfer learning and self- supervised learning. Examples of such works include integrating user feedback from multiple sources to gain insights about the status of the app, semantic analysis of the reviews, and extracting topics for version sensitive data. The other theme of her projects is on neural source code representation, with applications on comment generation and code search.

Dr. Fard has been the reviewer of multiple conferences and journals and has organized big data analysis workshops, including the Big Data Analytics, Industry and Academics at UBC Okanagan in 2019. She has worked on different industry-partnered projects and her group is working closely with companies on their research requirements. Dr. Fard is one of the instructors teaching data science courses in the Master of Data Science program, and she return back to the community by mentoring women looking to get into a career in AI .