Juliana Freire
Professor of Computer Science, Engineering, and Data Science
Research Areas:
- Big data
- Data analysis and visualization
- Provenance management and analytics
- Computational reproducibility
- Scientific data management
- Large-scale information integration
- Data quality
- Web information retrieval and analysis
- Web crawling
- Spatio-temporal analytics
Awards:
- American Association for the Advancement of Science (AAAS) Fellowship (2023)
ACM Fellowship (2014) - ACM Sigmod Contributions Award, Workshop on Computational Methods in Online Misbehavior (Cyber Safety) for A proactive fake news domain discovery system using real-time social media feeds (2020)
- ACM SIGMOD Most Reproducible Paper Award for Data Polygamy: The Many-Many Relationships Between Urban Spatio-Temporal Data Sets (2018)
- ACM SIGSOFT International Conference on Mining Software Repositories (MSR) Distinguished Paper Award
- International Conference ON Mining Software Repositories (MSR) Foss Impact Paper Award (2019)
- American Association for the Advancement of Science (AAAS) Fellowship (2022)
- Google Research Collabs; International Workshop on Traffic Measurements for Cybersecurity (WTMC); IEEE Symposium on Security and Privacy for Discovering and Measuring Malicious URL Redirection Campaigns from Fake News Domains (2021)