Besat Kassaie
Data Systems Group, David R. Cheriton School of Computer Science, University of Waterloo
200 University Avenue West
Waterloo, ON N2L 3G1 Canada
I am a postdoctoral researcher, supervised by Prof. Renée Miller, and a member of the Data Systems Group at the University of Waterloo.
My research interests primarily focus on data systems. I am particularly interested in challenges related to data intelligence, information extraction, unstructured data quality, and information retrieval.
I hold a PhD in Computer Science from the University of Waterloo, where my thesis, supervised by Prof. Frank Tompa, introduced and addressed the problem of updatability in document databases.
news
Sep 01, 2024 | I have started working as a postdoctoral researcher, focusing on data intelligence. |
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Sep 01, 2024 | I am excited that I have been selected to mentor a team of three computer science undergraduate students on their very first research project as part of the Early Undergraduate Research Experience Program (EREP) at the University of Waterloo. |
Jan 01, 2024 | I am excited to announce that I have started a visiting research position to work on a math retrieval project alongside Frank Tompa and Andrew Kane at the University of Waterloo. |
Dec 13, 2023 | Today, I had the opportunity to present our work on updatable information extraction at Ontario Database Day, hosted by McMaster University. It was an exciting experience to share our latest advancements and insights with the broader data science and database community. |
Oct 17, 2023 | This morning, I successfully defended my PhD thesis titled Update Aware Information Extraction. |
selected publications
- Autonomously Computable Information ExtractionProc. VLDB Endow., 2023
- Update-Aware Information ExtractionThe Cheriton School of Computer Science, 2023
- Computer-Assisted Cohort Identification in PracticeACM Trans. Comput. Heal., 2022
- Predictable and Consistent Information ExtractionIn Proceedings of the ACM Symposium on Document Engineering 2019, Berlin, Germany, September 23-26, 2019, 2019