Ozgur Yilmaz

University of British Columbia

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Ozgur Yilmaz (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@math.ubc.ca

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Full Professor
University of British Columbia (ubc.ca)
2014Present
 
Associate Professor
University of British Columbia (ubc.ca)
20092014
 
Assistant Professor
University of British Columbia (ubc.ca)
20042009
 
Postdoc
University of Maryland, College Park (umd.edu)
20022004
 
Postdoc
Princeton University (princeton.edu)
20012002
 
PhD student
Princeton University (princeton.edu)
19972001
 
Undergrad student
Bogazici University (boun.edu.tr)
19921997
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

PhD Advisee
Aaron Berk
****@math.ubc.ca
2015Present
 
PhD Advisee
Xiaowei Li
****@math.ubc.ca
2015Present
 
PhD Advisee
Kateryna Melnykova
****@gmail.com
20122021
 
PhD Advisee
Oscar Lopez
****@gmail.com
20132019
 
PhD Advisee
Arman Arian
****@gmail.com
20122019
 
PhD Advisee
Navid Ghadermarzy
****@gmail.com
20132018
 
PhD Advisee
Rayan Saab
****@ucsd.edu
20062010
 
Postdoc Advisor
John Benedetto
****@math.umd.edu
20022004
 
PhD Advisor
Ingrid Daubechies
****@math.duke.edu
19972002
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

deep learning
2019Present
 
compressed sensing, matrix and tensor completion
2006Present
 
quantization, analog-to-digital conversion, frame theory
1999Present