Peter Kairouz

Peter Kairouz 

Postdoctoral Research Fellow
Electrical Engineering
Stanford University
+1 (217) 550-2697
kairouzp@stanford.edu
Hosts: Ayfer Ozgur and Ram Rajagopal

News

Biography

I am a postdoctoral scholar at Stanford University. I received my MS in ECE, MS in Maths, and PhD in ECE from the University of Illinois at Urbana-Champaign. For my masters, I was mainly interested in signal processing and wireless communication. I interned twice at Qualcomm (in 2012 and 2013), and was awarded The 2012 Roberto Padovani Scholarship from Qualcomm's Research Center. For my PhD, I chose to work on privacy-preserving machine learning and anynomous broadcasting over networks, winning the Best Paper Award at SIGMETRICS 2015. I recently interned at Google, where I designed privacy-aware machine learning algorithms. My research interests span the areas of data and network sciences, privacy-preserving data analysis, machine learning, and information theory.

Education

University of Illinois at Urbana-Champaign

  • Ph.D. in Electrical and Computer Engineering, May 2016

  • M.S. in Applied Mathematics, May 2016

  • M.S. in Electrical and Computer Engineering, December 2012

American University of Beirut

  • B.E. in Electrical and Computer Engineering, June 2010

Awards

University of Illinois at Urbana-Champaign

  • The 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching

Association for Computing Machinery (ACM)

  • Best Paper Award at ACM SIGMETRICS 2015, with Giulia Fanti, Sewoong Oh, and Pramod Viswanath

Qualcomm Incorporated

  • Qualcomm Innovation Fellowship Finalist Award 2015, with Giulia Fanti

  • The 2012 Roberto Padovani Scholarship

American University of Beirut

  • Distinguished ECE Graduate Award, 2010

  • Benjamin Franklin Scholarship from the United States Agency for International Development, 2006

  • Graduated with High Distinction, 2006

Research Experience

Information Systems Laboratory, Stanford University

  • On-device Intelligence and Context-Aware Privacy, September 2016 - Present

Coordinated Science Laboratory, University of Illinois

  • Metadata Privacy and Privacy-Preserving Learning, January 2013 - August 2016

Google Research, Google Incorporated

  • Privacy Preserving Machine Learning Algorithms, May 2015 - August 2015

Qualcomm Research, Qualcomm Incorporated

  • Interference-Aware Rate Control for Small Cells, May 2013 - September 2013

Coordinated Science Laboratory, University of Illinois

  • Multi-Input Multi-Output Communications over Optical Networks, August 2010 - December 2012

Qualcomm Research, Qualcomm Incorporated

  • Variable Block Length Coding for LTE Systems, May 2012 - September 2012

Center for Automation Research, University of Maryland

  • Face Recognition Algorithms for Large Datasets, June 2009 - September 2009

Teaching Experience

Conferences Organized