Current Students



(source Prof.  Hochbaum)


  • Tehila Asheri, Data Driven Algorithms for Early Water Contamination in Water Supply Systems.
  • Asaf Nebenzal, Mathematical methods for Generating Accurate Dense Spatio-Temporal Maps of Air Pollutants from Sparse Sensing (PhD in Applied Math).
  • Idit Belachsen, Machine Learning methods for water quality assessment.


  • Dana Drahler, Air Quality Measurements Analysis Algorithms.
  • Uria Luzon, Spatiotemporal data-driven models for precise irrigation, with Yafit Cohen (ARO)
  • Noam Ginio, Data-driven models for sedimentation in seaports, Haifa case study.

Past Students



(source Prof. Hochbaum)



  • Yaela N. Golumbic, Public Participation in Air Quality Research in Haifa: Theory into Practice, with Ayelet Baram-Tsabari.
  • Noa Avni, Algorithms for development and management of regional water systems under multiple uncertainties, with Uri Shamir.
  • Gabriel Raviv, Modeling of Near Misses Related to Crane Work at Construction Sites and their Safety Risk Potential, with (primary advisor) Aviad Shapira, 6/2016.
  • Uri Lerner, Mathematical Data Analysis Methods for Air-Quality Wireless Distributed Environmental Sensor Networks, 1/2017.


  • Ella Levi, Online Oxidization of low concentrations of CP for enhancing bio sensors for early detection in drinking water. 
  • Levi Frolich, Spectral Methods for Analysis of Bacteria Counts in Water Wells, with (secondary Advisor) Dalit Vizel-Ohayon (MEKOROT).
  • Daphna Yogev, Identification of water leakage using consumption patterns of domestic end users.
  • Oren Rubinstein, Video based Identification and analysis of High-way traffic flow models.
  • Shai Moshenberg, Imputation of missing air pollution data using spectral methods.
  • Tamar Yacobi, Development and Utilization of New Methods for Urban Air-Pollution Monitoring.