|October 2021||Our work "Multi-Task Learning of Graph-based Inductive Representations of Music Content" is accepted at ISMIR 2021! Joint work with Federico Tomasi, Rishabh Mehrotra and Mounia Lalmas. Read here more about our work that was featured at the Spotify Research Blog.|
|March 2020||I am excited to receive an outstanding reviewer award for ICLR 2021!|
|December 2020||I am thrilled to announce I have successfully defended my PhD thesis. 🎉🎓|
|December 2020||Our work "News Monitor: A Framework for Querying News in Real Time" is accepted at the ECIR 2021! Joint work with Nikolaos Panagiotou and Dimitrios Gunopulos.|
|November 2020||Our work "Predictive Modeling of Infant Mortality" is accepted at the Data Mining and Knowledge Discovery journal! Joint work with Clemens Noelke, Nick Huntington, Dolores Acevedo-Garcia and Dimitrios Gunopulos.|
|February 2020||Excited to join the Geometric Computing Group advised by prof. Guibas at the Computer Science Department at Stanford University.|
Our work "Identifying Notable News Stories" is accepted at ECIR 2020! Joint work with Edgar Meij and Giorgio Stefanoni from my Bloomberg AI internship last year. 🎉
Update: Check out our paper and our presentation on YouTube to learn more.
|December 2019||Our proposal got accepted and we will be awarded with 75,000€ to build a system for "News Articles Monitoring and Analysis". Joint work with Nikolaos Panagiotou and prof. Gunopulos.|
|August 2019||Attended the KDD conference in Archorage, Alaska and presented our work about "Characterizing Infant Mortality Prediction" at the Applied Data Science for Healthcare workshop, as part of the KDD Health Day.|
|June 2019||Excited to start a research internship at Tech Research in Spotify London with Mounia Lalmas as my mentor! 🎧|
Saravanou A., Tomasi F., Mehrotra R. and Lalmas M., "Multi-Task Learning of Graph-based Inductive Representations of Music Content", International Society for Music Information Retrieval Conference (ISMIR) [paper][blog post]
Saravanou A., Katakis I., Valkanas G., Kalogeraki V., and Gunopulos D., "Revealing the Hidden Links in Content Networks: An Application to Event Discovery", ACM CIKM 2017 (Pan Pacific Singapore) [paper][poster][code]
Data Mining on Social Media to Detect Events and Disasters Supervisor: Prof. Gunopulos D.
Also, appeared in: Selected Theses of Bachelor and Master Students (UoA, 2015) (in english), p. 101-116 [book]
Product Review Summarization Supervisor: Prof. Gunopulos D.
Also, appeared in: Selected Theses of Bachelor and Master Students (UoA, 2013) (in greek), p. 59-73 [book]
Music Recommendations using Multi-Task Learning for Node Representations
Work done while I was a research intern at Personalization team at Spotify Tech Research. More details to be added soon, as this work is currently under review.
Node Representation Learning using Self-Supervision
This project started while I was doing a research visit at the Geometric Computing Group advised by prof. Guibas at Stanford University. This project is ongoing, stay tuned to learn more about our work!
Infant Mortality Prediction
News Monitor: A Framework for News Monitoring and Analysis
Ranking Notable News using Knowledge Graph Stuctures
Sub-Event Detection in Content Graphs
Event Detection in Social Networks
I have served as a teaching assistant in the following courses. For the majority of them, I was responsible for designing the student assignments/projects, leading the labs, holding office hours, grading the paperwork and examining the students.
Mining Big Datasets (Fall 2015, 2016, 2017, 2018, 2019, 2020)
Data Mining (Spring 2012, 2013, 2014, 2015, 2016, 2017, 2018)
Database Systems Implementation (Fall 2013, 2014, 2015, & 2020)
Design of Data Systems (Spring 2015, 2016, 2017)
Software Development (Fall 2014)
Software Engineering (Spring 2013)
Artificial Intelligence (Fall 2012, 2013)
Human-Computer Interaction (Fall 2011)