Here is a selection of recent and representative dissertations by graduates of the PhD in Information Science program:
Xidao Wen (2020): Algorithms, applications and systems towards interpretable pattern mining from multi-aspect data.
Di Lu (2020): Connecting online and offline worlds: the impact of cross-boundary artifact on hybrid communities.
Runhua Xu (2020): Functional encryption based approaches for practical privacy-preserving machine learning.
Kozniewski, Marcin (2019): Self-Confidence Measures of a Decision Support System Based on Bayesian Networks.
Guerra Hollstein, Julio Daniel (2018): Open Learner Models for Self-Regulated Learning: Exploring the Effects of Social Comparison and Granularity.
Guo, Qiulei (2018): A Methodology with Distributed Algorithms for Large-Scale Human Mobility Prediction.