Catalin Ionescu (Preferred)
, catalin ionescu
Catalin Ionescu
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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.
****@google.com
, ****@ins.uni-bonn.de
Personal Links
Add links to your profiles on other sites. (Optional)
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.
Postdoc
Google (google.com)
2016 – Present
PhD student
university of bonn (uni-bonn.de)
2009 – 2016
PhD student
imar (imar.ro)
2009 – 2016
PhD student
University of Bonn (uni-bonn.de)
2008 – 2015
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Cristian sminchisescu
****@math.lth.se
Present
Coauthor
Cristian Sminchisescu
****@math.lth.se
2009 – 2015
Coauthor
Joao Carreira
****@gmail.com
2014 – 2014
Coauthor
Joao Carreira
****@berkeley.edu
2011 – 2014
Coauthor
Liefeng Bo
****@tti-c.org
2011 – 2014
Coauthor
Fuxin Li
****@cc.gatech.edu
2011 – 2014
Coauthor
Joao Carreira
****@eecs.berkeley.edu
2011 – 2014
Coauthor
Joao Carreira
****@isr.uc.pt
2011 – 2014
Coauthor
Liefeng Bo
****@tti-c.org
2011 – 2014
Coauthor
Atul Kanaujia
****@cs.rutgers.edu
2011 – 2014
Coauthor
Atul Kanaujia
****@objectvideo.com
2011 – 2014
Coauthor
Cristian Sminchisescu
****@ins.uni-bonn.de
2011 – 2014
Coauthor
Fuxin Li
****@oregonstate.edu
2010 – 2011
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
reinforcement learning
2015 – Present