Benjamin RubinsteinBenjamin Rubinstein
Senior Lecturer 
(equiv US Assistant Professor)
Dept. Computing & Information Systems
The University of Melbourne, Australia 


[firstname].i.p.[lastname]@gmail.com
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Office 7.21 Doug McDonell Building

Juliet & Ella   Liam   Lachlan

 
Interests: Statistical Machine Learning, Security & Privacy, Databases, Industry Engagement, Strategy

Bio: Ben joined the University of Melbourne in 2013 as a R@MAP appointee, as a Senior Lecturer in Computing and Information Systems. Previously he gained four years of US industry experience in the research divisions of Microsoft, Google, Intel and Yahoo!; followed by a short stint at IBM Research Australia. As a full-time Researcher at Microsoft Research, Silicon Valley for close to 3 years, Ben shipped production systems for entity resolution in Bing and the Xbox360 (driving huge success accounting for revenues in the $100m's); he actively researches topics in machine learning, security, privacy, and databases. Ben earned the PhD in Computer Science from UC Berkeley under Peter Bartlett in 2010, collaborating closely with the SecML group, at the boundary of machine learning and security.

Service

Funding

Other News

  • 12/2014: Excellence in Research Award 2014, Dept CIS, University of Melbourne
  • 11/2014: Facebook (Menlo Park) talk Data Integration through the Lens of Statistical Learning

Students

  • PhD students
    • Zay Aye - CompSci (w Rao Kotagiri 2014 - )
    • Maryam Fanaeepour - CompSci (w Lars Kulik, Egemen Tanin 2014 - )
    • Jiazhen He - CompSci (w James Bailey, Rui Zhang 2014 - )
    • Zuhe Zhang - Maths & Stats (w Sanming Zhou 2014 - )
  • Masters students
    • Samuel Jenkins, Soundarya Mallemarapu - UoM CompSci (Masters 2014 - )
    • Rui Hu, Justin Liang, Nouras Fatima, Zhe Lim - UoM CompSci (Masters 2014)
  • Interns from Microsoft Research

Teaching

  • Melbourne Business School, Master of Business Analytics, Statistical Learning: 2015 Winter
  • COMP90051 Statistical & Evolutionary Learning (co-taught): Semester 2, 2013-
  • COMP10002 Foundations of Algorithms: Semester 1, 2014-

Publications

2015

  • Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, and J. Doug Tygar, book Adversarial Machine Learning: Computer Security and Statistical Machine Learning, Cambridge University Press, to appear 2015
  • Zhe Lim and Benjamin I. P. Rubinstein, Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching, in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'2015), January 2015, to appear [datasets]
  • Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, and Rui Zhang, Identifying At-Risk Students in Massive Open Online Courses, in Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'2015), January 2015, to appear

2014

2012

2011 

2010

2009

2008

2007

Pre 2007