CV

Basics

Name Besat Kassaie
Label Postdoctoral Researcher
Email bkassaie@uwaterloo.ca
Summary I am involved in research focused on data intelligence and data lakes. I assist with the drafting of grant proposals and academic papers.

Work

  • 2024.01 - 2024.09
    Postdoctoral Researcher
    The Cheriton School of Computer Science, University of Waterloo
    Research focused on data intelligence and data lakes.
  • 2023.01 - 2023.09
    Visiting Researcher
    The Cheriton School of Computer Science, University of Waterloo
    Served as a co-investigator on the math retrieval project, devising effective queries from texts containing mathematical formulas and content.
  • 2019.01 - 2023.01
    Graduate Research Assistant
    Innovation Lab, University of Waterloo
    Developed a platform that searches documents with text and mathematical content using a pen-based interface.
  • 2015.01 - 2019.01
    Graduate Teaching Assistant & Graduate Research Assistant
    The Cheriton School of Computer Science, University of Waterloo
    Assisted in multiple undergraduate courses in Data Structures & Algorithms, Database Systems, and Introduction to Computer Science.
  • 2014.01 - 2014.12
    Senior Research Engineer
    AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH (A*STAR), Singapore
    Developed a machine-learning-based approach to design a sleep quality assessment tool for McLaren.
  • 2013.01 - 2014.01
    Information Technology Consultant
    ITFORCE, Singapore
    Consultant on software engineering projects.
  • 2009.01 - 2013.01
    Senior Data Engineer
    MCLS, Iran
    Senior Data Engineer in a large-scale data integration project.

Education

  • 2015.01 - 2023.01
    PhD
    The Cheriton School of Computer Science, University of Waterloo
    Computer Science
    • PhD Thesis: Update-Aware Information Extraction
    • Thesis Advisor: Prof. Frank William Tompa
    • Committee Members: Prof. Doan, Prof. Ilyas, Prof. Kerschbaum, Prof. Gurfinkel
  • 2005.01 - 2009.01
    MENG
    Science and Research Branch, Azad University, Iran
    Software Engineering
    • Masters Thesis: Application of Textual Corpus in Ontology Matching
    • Thesis Advisor: Prof. Amir Masoud Rahmani
  • 2001.01 - 2005.01
    BENG
    Iran University of Science and Technology, Iran
    Software Engineering
    • Undergrad Research Advisor: Prof. Mohsen Sharifi

Awards

Publications

Skills

Programming Languages
Java
Scala
Python
Information Extraction Languages
AQL
JAPE
Search Engines
Apache Lucene

Languages

English
Fluent
Farsi
Native
Turkish
Native
Arabic
Basic

Interests

Data Systems
Unstructured Data Management
Natural Language Processing
Information Extraction
Unstructured Data Quality
Information Retrieval
Mathematical Information Retrieval
Applied Machine Learning
Health Informatics
Large Language Models for Data Systems

Projects