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

Affiliations:
Fellow, ARC Centre of Excellence for Mathematical & Statistical Frontiers [link]
Fellow, Centre for Business Analytics, Melbourne Business School [link]

[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.

2015 : I have open positions for motivated PhD students and 1 postdoc in data integration.

Service

Funding

Other News

  • 07/2015: Keynote at the Australian Academy of Science Elizabeth and Frederick White Research Conference on Mining Data for Detection and Prediction of Failure in Geomaterials [link]
  • 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
    • Safiollah Heidari (w Raj Buyya 2015 - ). ML for distributed computing.
    • Yamuna Kankanige (w James Bailey 2015 - ). Liver transplant outcomes, Austin Health
    • Zay Aye - CompSci (w Rao Kotagiri 2014 - ). Metric learning.
    • Maryam Fanaeepour - CompSci (w Lars Kulik, Egemen Tanin 2014 - ). Location privacy.
    • Jiazhen He - CompSci (w James Bailey, Rui Zhang 2014 - ). Education analytics and MOOCs.
    • Zuhe Zhang - Maths & Stats (w Sanming Zhou 2014 - ). Differential privacy in Bayesian statistics.
  • Masters students
    • Current: Samuel Jenkins, Soundarya Mallemarapu, Xianjing Fan
    • Completed: Rui Hu, Justin Liang, Nouras Fatima, Zhe Lim (2014)
  • Interns from Microsoft Research

Teaching

  • Melbourne Business School, Master of Business Analytics, Statistical Learning: 2015 Winter
  • COMP90051 Statistical Machine Learning: Semester 2, 2013-
  • COMP10002 Foundations of Algorithms: Semester 1, 2014-

Publications

2015

2014

2012

2011 

2010

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2007

Pre 2007