The LDSA research team focuses on applying data mining, machine learning, and network analysis techniques to address real-world societal and industrial problems. We develop novel data analytics and machine learning techniques, particularly for text mining, social network analysis, figurative language detection, rumor detection, sentiment and emotion analysis, health informatics, and data-driven cybersecurity. Curating and analyzing large-scale data using data mining and machine learning techniques to extract actionable patterns for enabling business intelligence, data-driven economy, and open-source intelligence is a common theme in our research.

In support of academic research, LDSA intends to contribute to a number of open-source, open-science, and open-data-resource communities. Consider joining our group if you are interested in studying and working on applied machine learning and complex networks analysis. Industry, government, and organizations can collaborate with us to find data-centric solutions to their problems.