David Coufal Researcher at Department of Machine Learning Institute of Computer Science, The Czech Academy of Sciences Pod Vodárenskou věží 2, 182 07 Praha 8, Czech Republic office: 428 phone: (+420) 2 6605 3421 david.coufal cs.cas.cz

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Research interests:

• machine learning, deep neural networks
  
• fuzzy computing, radial fuzzy systems
  
• function approximation and kernel methods
  
• stochastic processes, sequential Monte Carlo methods
  

Projects:

• Capabilities and limitations of shallow and deep networks,
  Provider: Czech Science Foundation, GA18-23827S (1/18 -- 12/20)
  
• Collaboration on the Fermilab experiments,
  Provider: Ministry of Education, Youth and Sports of the Czech Republic, No. CZ.02.1.01/0.0/0.0/16_013/0001787 (3/18 -- 3/20)
  
• National Competence Center -- Cybernetics and Artificial Inteligence,
  Provider: Technology agency of the Czech Republic, No. TN01000024 (1/19 -- 12/20)
  

Education:

• MSc degree in Technical Cybernetics from University of Pardubice, 1996 - Simulační model výroby ε-kaprolaktamu (in Czech)
• PhD degree in Technical Cybernetics from University of Pardubice, 2003 - Radial Implicative Fuzzy Inference Systems
• MSc degree in Probability and Statistics from Charles University, 2013 - Sequential Monte Carlo Methods
• PhD degree in Probability and Statistics from Charles University, 2018 - Kernel Methods in Particle Filtering

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• Publications