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Evimaria Terzi
AboutAt BU I am a member of the Data Management Lab@BU. My research interests are in the area of machine learning and algorithmic data mining
with emphasis Research HighlightsMy Google Scholar page is here. My most recent research statement is here (updated Dec. 2025) My most recent CV is here (updated Dec. 2025) Awards and FundingMy research is funded by the following sources: Microsoft Faculty Fellowship (2010) NSF Award: “ SCOPE: A smart-city Cloud-based Open Platform and Ecosystem", (2014-2017) Nokia Fellowship Nokia Visiting Professor Fellowship for visiting Aalto
University, Helsinki, Finland; (7000 euros), 2016 NSF Award: “Team Engineering: Algorithms and Practical Applications” (2018-2021) Hariri Institute Faculty grant: “ Team Formation: Algorithms and Practical
Applications”, (in collaboration with BU Spark), ($ 40K), 2018 Gifts from Yahoo! and Google. StudentsI am working with the following students: Iasonas Nikolaou (PhD student) Karan Vombatkere (PhD student) Angelos Poulis (PhD student) Kevin Quinn (PhD student) AlumniSofia Nikolakaki (PhD 2020, Research Scientist at Apple) Harshal Chaudhari (PhD 2021, Engineer at Etsy) Charalampos Mavroforakis (PhD 2018,
currently engineer at Facebook) Behzad Golshan (PhD 2016, currently at Google) Natali Ruchansky (PhD 2016, currently at Netflix) Dora Erdos (PhD 2014, currently lecturer
and undergraduate program director at BU) Esther Galbrun (post-doc, now a Researcher in INRIA) Theodoros Lappas (post-doc, now an Assistant Professor at
Economic University of Athens) George Brova (MA/BA student, now at AWS) Recent papers
TeachingThis semester (Fall 2025) I am teaching CS 565: ‘‘Algorithmic Data Mining" targeting advanced undergraduate and graduate students. My office hours are: Wed: 12pm-1pm and Thur: 9am-11am. In Spring 2025 (and Summer 2025), I have taught a new course called ‘‘Algorithms to Live By", based on the book by Brian Christian and Thomas L. Griffiths. This class targeted CS majors, minors and friends and offered an understanding of how computer-science concepts are applied to everyday life. Service |