DR Ben Rubinstein

DR Ben Rubinstein

Positions

  • Big Data (Scalable Learning, Data Integration)
  • Computer Security & Privacy (Cybersecurity, Data Privacy)
  • Statistical Machine Learning

Overview

OverviewText1

  • Dr. Rubinstein 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, Rubinstein 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. Rubinstein 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.   

Affiliation

Member of

  • Association for the Advancement of Artificial Intelligence. Member 2014 -

Publications

Selected publications

Research

Investigator on

Additional Grant Information

  • Microsoft Research Azure Machine Learning Award, 2015 Amazon AWS Machine Learning Grant, 2013   

Awards

Education and training

  • PhD, University of California - Berkeley 2010
  • MCompSci, University of Melbourne 2009
  • BEng (hons), University of Melbourne 2003
  • BSc, University of Melbourne 2003

Awards and honors

  • Tall Poppy in Science Award, 2016
  • Excellence in Research Award (2014), Department of Computing and Information Systems, University of Melbourne, 2014
  • Gold Star Award, Microsoft Research, 2011
  • Siebel Scholars Award - UC Berkeley, Siebel Foundation, 2009
  • Yahoo! Key Scientific Challenges Prize in Adversarial Machine Learning, Yahoo! Research, 2009
  • Best Poster Award, International Symposium on Recent Advances in Intrusion Detection, 2008
  • UC Regents, University Fellowship, UC Berkeley, 2004
  • Elizabeth and Vernon Puzey Postgraduate Scholarship in Engineering, University of Melbourne, 2003
  • ICT Scholarship, State Government of Victoria, 2003
  • IEEE Computer Society Lance Stafford Larson Scholarship - Outstanding Paper Award, IEEE, 2002

Supervision

Available for supervision

  • Y

Supervision Statement

  • Dr Rubinstein actively supervises PhD and Masters students in Machine Learning in both basic theoretical projects and applications in security, privacy, databases and broadly.