Fotis Psallidas

Current: PhD in Computer Science, CS@CU
M.Sc., Computer Science, Columbia University
B.Sc., Computer Science, Dept. of I&T at U.O.A.
Mobile Contact +1 646 318 8835
Office 530 West 120th Street, CEPSR 704
e-Contact fotis [at] cs.columbia.edu
Curriculum Vitae [pdf]

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Projects

Research Areas
  • Provenance Management Systems
  • Interactive Data Exploration
  • Data Visualization and Declarative Analytics

Publications
F. Psallidas, Physical Plan Instrumentation in Databases: Mechanisms and Applications
PhD Thesis, 2019
F. Psallidas and E. Wu, Smoke: Fine-Grained Lineage at Interactive Speed
In Proceedings of VLDB Endowment, vol. 11, no. 6, pages 719 - 732, 2018 [Technical Report] [Slides (pdf) (pptx)] [Poster]
F. Psallidas and E. Wu, Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications
In Proceedings of the 2018 ACM SIGMOD International Conference on Management of Data, 2018 [Video (no sound)]
F. Psallidas and E. Wu, Provenance for Interactive Visualizations
In Proceedings of the 3rd Workshop on Human-in-the-Loop Data Analytics, HILDA, 2018 [Slides] [Poster]
E. Wu, F. Psallidas, Z. Miao, H. Zhang, L. Rettig, Y. Wu, and T. Sellam Combining Design and Performance in a Data Visualization Management System
In Proceedings of the 2017 Conference on Innovative Database Research, CIDR, 2017.
F. Psallidas, B. Ding, K. Chakrabarti, and S. Chaudhuri S4: Top-k Spreadsheet-Style Search for Query Discovery
In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 2015.
F. Psallidas, H. Becker, M. Naaman, and L. Gravano Effective Event Identification in Social Media
In IEEE Data Engineering Bulletin -- Special Issue of Social Media Analytics, 2013.
F. Psallidas, A. Ntoulas, and A. Delis SocWeb: Efficient Monitoring of Social Network Activities
In Proceedings of the 2013 International Conference on Web Information System Engineering, 2013. [slides]
K. Tsakalozos, S. Evangelatos, F. Psallidas, M. Vieira, V. Tsotras, and A. Delis. DiVA: using Application-specific Policies to "Dive" lnto Vector Approximations.
The Computer Journal, 2015.

Posters, Tech Reports, and Demos

Teaching

Portfolio