Martin Svoboda

Martin Svoboda is a Lecturer at the Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague. His work focuses on multi-model data management, social network analysis, and XML/linked data processing.

• University: Charles University
• School: Faculty of Mathematics and Physics
• Department: Department of Software Engineering
• Role: Lecturer

Education:

• Doctoral Thesis: Correction of Invalid Trees with Respect to Regular Tree Grammars (2015)
• Master's Thesis: Processing of Incorrect XML Data (2010)
• Bachelor's Thesis: Information System for Small User Group Collaboration (2007)

Research Interests encompass:

• Unified multi-model data processing
• Influence maximization in social networks
• Graph data efficiency
• Big Data and NoSQL systems
• Querying/indexing linked data
• XML document correction

Publications highlight trends in multi-model data unification, XML correction techniques, and social network analysis, with a strong emphasis on category theory and graph-based approaches.

Scientific Recognition:

• Dean’s Award for Best Master Thesis (2010)
• Best Poster Award at Reasoning Web Summer School (2012)

Projects include grants from the Czech Science Foundation (20-22276S, 2010–2012), Technology Agency of the Czech Republic (TH03010276, 2018–2020), and international collaborations like NoSQL-Net (Germany, 2014).