Graduate Students

  • 1979, Yair Be’eri, “Methods and Algorithms for Model Selection for Stochastic Control Systems” (M.Sc.).
  • 1980, Doron Idleman, “Fixed – Gain Filter and Controller Design for Systems with Large Parameter Uncertainties” (M.Sc.).
  • 1981, Moshe Margalit, “Surface Fitting by Pseudo-Potential Base Functions” (M.Sc.).
  • 1982, Menashe Shakhar, “Impact Location Estimation of a Continuous Wave Transmitting Projectile Using an Array of Receivers”(jointly with Prof. Nadav Levanon) (M.Sc.).
  • 1986, Moshe Margalit, “Nonlinear Estimation Error Bounds with Application to Terrain Aided Navigation” (Ph.D.).
  • 1985, Gedalyahu Kalit, “Reduced Order Estimation of Linear Dynamical Systems” (M.Sc.).
  • 1991, Dario Ringach, “A Diffusion Mechanism for Obstacle Detection from Size-change Information” (M.Sc.).
  • 1991, Adir Even, “Pattern Recognition by Neural Networks” (M.Sc.).
  • 1991, Dror Salee, “Memory Capacity of Sparsely Encoded Networks” (M.Sc.).
  • 1993, Kalman Kaufman, “Learning Methods for Feedforward Networks” (M.Sc.).
  • 1993, Nathan Peterfreund, “Convergence Analysis and Trajectory Control of Nonlinear Neural Networks” (Ph.D.).
  • 1993, Gad Ben-Tal, “Range Estimation by Locally Connected Neural Networks” (M.Sc.).
  • 1994, Segev Vaserkroog, “Classification by Neural Networks with Application to Diamond Evaluation” (M.Sc.).
  • 1994, Dror Zur, “Radar Signal Separation by a Self Organizing Neural Network” (M.Sc.).
  • 1994, Zeev Rott, “A Statistical Approach to Neural Network Design” (Ph.D.).
  • 2001 Gregory Shakhnarovich, “Statistical Data Cloning for Machine Learning” (joint supervision with Dr. Ran El-Yaniv) (M.Sc.).
  • 2001, Yahalomit Simionovici, “Augmented Reality for Aiding the Neuro-Motor Impaired” (M.Sc.).
  • 2002, Lior Ron, “A visual Feedback System” (M.Sc).
  • 2002, Robert Pharham, “Learning Conflict Resolution between many Moving Agents by Neural Networks” (M.Sc.).
  • 2003, Mark Zlochin, “Differential Geometric Approach to Learning” (Ph.D.).
  • 2003, Kobi Luz, “Towards Time and Sample Efficiency in Active Learning ” (M.Sc., joint supervision with Dr. Ran El-Yaniv).
  • 2004, Tamer Salman, “Kernel Methods for Image Classification and Shape Categorization,” (M.Sc., joint supervision with Prof. Alfred Bruckstein).
  • 2004, Simon Polak, “Head Motion Prediction from EMG for Virtual Reality Applications” (M.Sc.).
  • 2005, Vadim Galperin, “On-line Error Correction in Head Motion Anticipation” (M.Sc.).
  • 2012, Tamer Salman, “Quantum Neural Computation and Associative Memory” (Ph.D.).
  • 2014, Avithal Elias, ”Statistical Analysis of Particle Transport and Interaction in Metastatic Cancer” (M.Sc., joint supervision with Prof. Daphne Weihs).
  • 2016, Ayal Shwatyz, “Effects of sensory feedback on brain activity during simple motor tasks”.