Dr. Erez Shmueli

Biography

Dr. Erez Shmueli is a senior lecturer and the head of the Big Data Lab at the department of Industrial Engineering at Tel-Aviv University and a research affiliate at the MIT Media Lab. He received his BA degree (with honors) in Computer Science from the Open University of Israel and MSc and PhD degrees in Information Systems Engineering from Ben-Gurion University of the Negev and spent two years as a post-doctoral associate at the MIT Media Lab. His research interests include Big Data, Complex Networks, Computational Social Science, Machine Learning, Recommender Systems, Database Systems, Information Security and Privacy. His professional experience includes being a programmer and a team leader in the Israeli Air-Force and, a project manager in Deutsche Telekom Laboratories at Ben-Gurion University of the Negev, a co-founder of two startups (Babator and SafeMode), and a consultant (among the rest to Microsoft and the municipality of Ashdod).

Interests

  • Big Data
  • Complex Networks
  • Computational Social Science
  • Machine Learning
  • Recommender Systems
  • Database Systems
  • Information Security and Privacy

Education

  • Ph.D. 2012

    Ph.D. in Information Systems Engineering

    Ben-Gurion University of the Negev, Israel

  • M.Sc. 2005

    M.Sc. in Information Systems Engineering

    Ben-Gurion University of the Negev, Israel

  • B.A. 2001

    B.A. in Computer Science

    The Open University, Israel

Academic Positions

  • Present2014

    Senior Lecturer (Assistant Professor)

    Tel-Aviv University, Department of Industrial Engineering

  • Present2014

    Research Affiliate

    Massachusetts Institute of Technology, Media Lab

  • 20142012

    Postdoctoral Associate

    Massachusetts Institute of Technology, Media Lab

Current Courses

  • Spring2019

    Big Data Technologies and Datasets

    This course surveys emerging technologies (and the theory behind them) for strong, processing and analyzing Big Data.

  • Spring2019

    Information Retrieval and Recommender Systems

    The course surveys the main theoretical and practical aspects of the emerging fields Information Retrieval and Recommender Systems.

Upcoming Courses

  • Fall2019

    Database Systems Design

    The main goal of this course is to present an in-depth introduction to DBMSs, with an emphasis on how to design a database and use a DBMS effectively.