The Data Science Research Group at the Department of Computer and Systems Sciences (DSV) of Stockholm University focuses on core data science resarch as well as on application areas where data science can assist in providing useful insights for decision making. The group focuses on the formulation of novel data science problems and the development of algorithmic methods and methodological workflows for achieving scalable solutions in core application areas within social sciences and humanities.
The group has three main focus research themes: sequential and temporal mining, explainable and federated learning, and machine learning applications. For a comprehensive list of our research topics please visit our research page.
Our group is involved in several national and international projects. A selection of our ongoing projects can be found below. For a comprehensive list of our projects please visit our projects page.
October 31, 2023
[PhD Defense of Luis Quintero] Luis Quintero will have his PhD thesis defense on the 28th of November 2023 at 09:00. His thesis is entitled “User Modeling for Adaptive Virtual Reality Experiences: Personalization from Behavioral and Physiological Time Series”. The main opponent will be Jefrey Lijffijt, and his examiners will be Indre Zliobaite, Per Carlbring, Tapio Takala, and Robert Ramberg (suppleant). Link to thesis
October 25, 2023
[PhD Defense of Zed Lee] Zed Lee will have his PhD thesis defense on the 24th of November 2023 at 13:00. His thesis is entitled “Z-series Mining and learning from complex sequential data”. The main opponent will be Toon Calders, and his examiners will be Tijl De Bie, Elisa Fromont, Mattias Villani, and Hercules Dalianis (suppleant). Link to thesis
April 14, 2023
[Predoc Seminar of Zed Lee] Our PhD Student Zed Lee will have his predoc seminar on “Z-Series: Mining and learning from complex sequential data” on the 21st of April 2023 at 10:00. The predoc seminar consists of a presentation by the doctoral student and the opposition from professors Elisa Fromont and Hercules Dalianis.
October 28, 2022
[Half-Time Seminar of Alejandro Kuratomi] Our PhD Student Alejandro Kuratomi will have his half-time seminar on “Improving Machine Learning Interpretability - Algorithms and Applications” on the 9th of November 2022 at 10:00. The half-time seminar consists of a presentation by the doctoral student and a question and answers session involving the half-time committee, Eirini Ntoutsi and Rahim Rahmani.
SPV (Swedish Pensions Agency)