Adam Gyenge PhD student (mathematics) Eötvös Loránd University MSc in mathematics and computer science Budapest University of Technology and Economics CV

Teaching (mostly in Hungarian):

• Mathematics A3, 2011/12/1
• Introduction to computer science II., 2007/2008/1 (excercise session)
• Theory of algorithms, 2006/2007/2 (excercise session, jointly with Marcell Szabó)
  

Research interests:

• Topology and geometry: algebraic topology, differential geometry, low-dimensional topology, algebraic geometry
  

Publications:

• Adam Gyenge, On the topology of the exceptional Lie group G₂, MSc thesis (mathematics), 2011. pdf
  
• Adam Gyenge, Janne Sinkkonen, András A. Benczúr, An efficient block model for clustering sparse graphs, MLG 2010 - 8th International Workshop on Mining and Learning with Graphs (in conjunction with KDD 2010), 2010. pdf
  
• Adam Gyenge, Malliavin calculus and its applications, BSc thesis (mathematics), 2010. pdf
• Adam Gyenge, Bayesian clustering of block structured relational data, MSc thesis (computer science), 2009. pdf
  
• Juuso Parkkinen, Adam Gyenge, Janne Sinkkonen, Samuel Kaski, A block model suitable for sparse graphs, MLG 2009 - 7th International Workshop on Mining and Learning with Graphs, 2009. pdf
• Adam Gyenge, Statistical methods for the investigation of scale-free networks, Student’s Conference of Budapest University of Technology and Economics, 2007 (in Hungarian)
  Paper, talk, software

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