Igor Kleiner homepage

Igor Kleiner    (Homepage)

I am Ph.D. student and a lecturer in stochastic processes at the

 University of Haifa, Israel. 

contacts: igkleiner@gmail.com

Research interests

My research combines an interest in images processing and probabilistic algorithms, data mining and statistic learning. Also I specialized in operational research, probability theory and stochastic analysis.

  Publications: 

• ·         Recycled Incomplete Identification Procedures for Blood Screening Shaul K. ·         Recycled Incomplete Identification Procedures for Blood Screening Shaul K. Bar-Lev, Onno Boxma, Igor Kleiner, David Perry, Wolfgang Stadje (submitted)
  ·         A numerical study of small parameters behavior of some families of distributions. Shaul K. Bar-Lev. Benzion Boukai, Igor Kleiner (submitted)
  ·         Applying property testing to an image classification problem Igor Kleiner 2014
  International conference the radio-electronic devices and systems for the infocommunication technologies» (REDS-2014)
  ·         Applying property testing to test binary images on being half plane. Igor Kleiner 2014, The 16-th International Conference DIGITAL SIGNAL PROCESSING AND ITS APPLICATIONS
  ·         Applying Property Testing to an Image Partitioning Problem with: Daniel Keren     
  IEEE – Pattern analysis 2011
  ·         Pattern Recognition in the Brain and in Computational Sciences with: Daniel Keren and Edi Barkai

Teaching

• 2016: Probability and stochastic procceses for Logistics M.A. - Haifa university (lecturer)
• 2015: Probabilistic methods for computer science. Dean of students, Haifa university
• 2013: Dynamic programming, Infowatch, Russia
• 2013: Critical thinking, Infowatch, Russia
• 2011-2012: Visitor lecturer, Ort Braude College:
• stochastic processes
• probability
• discrete mathematics 2
• 2004-2007 Teacher assistent, computer science faculty, Haifa university
• numerical analysis
• infinite sets theory
• logic
• introduction to algorithms
• computational models
• probabilistic methods
• dynamic programming