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 11, 2025 | Our paper Exploiting Query Reformulation and Reciprocal Rank Fusion in Math-Aware Search Engines received the Best Paper Award at ACM DocEng 2025. This achievement was made possible through a collaborative effort with Prof. Frank Tompa and Dr. Andrew Kane. |
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| Dec 12, 2024 | I presented our latest results on Updatable Extracted Views and their application to improving unstructured data quality at Ontario Database Day. This work was a collaborative effort with Prof. Frank Tompa.” |
| Sep 01, 2024 | I have started working as a postdoctoral researcher, focusing on data intelligence. |
| 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. |
selected publications
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Autonomously Computable Information ExtractionProc. VLDB Endow., 2023 - Exploiting Query Reformulation and Reciprocal Rank Fusion in Math-Aware Search EnginesIn Proceedings of the 2025 ACM Symposium on Document Engineering, 2025
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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