I am a PhD candidate at Northeastern University and part of the DATA Lab. I am very fortunate to be adviced by Prof. Reneé J. Miller.

My research interests lie in Data Integration, specifically in identifying, extracting, and classifying semantic properties of data values in the context of large heterogenous data lakes as well as web tables.

I am currently looking for full time jobs as a Data Scientist or Machine Learning Engineer!

Publications

• A Large Scale Test Corpus for Semantic Table Search.
  Aristotelis Leventidis, Martin Pekár Christensen, Matteo Lissandrini, Laura Di Rocco, Katja Hose, Renée J. Miller
  To Appear on SIGIR 2024

• DomainNet: Homograph Detection and Understanding in Data Lake Disambiguation.
  Aristotelis Leventidis, Laura Di Rocco, Wolfgang Gatterbauer, Renée J. Miller, Mirek Riedewald.
  In ACM Transactions on Database Systems 48, no. 3 (2023): 1-40.
  [Paper]

• DomainNet: Homograph Detection for Data Lake Disambiguation.
  Aristotelis Leventidis, Laura Di Rocco, Wolfgang Gatterbauer, Renée J. Miller, Mirek Riedewald.
  In Proceedings of the 24th International Conference on Extending Database Technology, {EDBT} 2021, Nicosia, Cyprus.
  Won EDBT 2021 Best Paper Award
  [Paper]

• QueryVis: Logic-based diagrams help users understand complicated SQL queries faster.
  Aristotelis Leventidis, Jiahui Zhang, Cody Dunne, Wolfgang Gatterbauer, HV Jagadish, Mirek Riedewald.
  In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 2303-2318. 2020.
  Won SIGMOD 2021 Most Reporducible Paper Award
  [Paper]

• Evaluating the effect of timeline shape on visualization task performance.
  Sara Di Bartolomeo, Aditeya Pandey, Aristotelis Leventidis, David Saffo, Uzma Haque Syeda, Elin Carstensdottir, Magy Seif El-Nasr, Michelle A Borkin, Cody Dunne.
  In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-12. 2020
  [Paper]

• Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation.
  David Saffo, Aristotelis Leventidis, Twinkle Jain, Michelle A Borkin, Cody Dunne.
  In Computer Graphics Forum, vol. 39, no. 3, pp. 455-468. 2020.
  [Paper]

• PERSEUS-HUB: interactive and collective exploration of large-scale graphs.
  Jin, Di, Aristotelis Leventidis, Haoming Shen, Ruowang Zhang, Junyue Wu, and Danai Koutra.
  In Informatics, vol. 4, no. 3, p. 22. MDPI, 2017.
  [Paper]