Rang Nguyen (Preferred)
Rang Nguyen
VinAI Research
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.
****@comp.nus.edu.sg
, ****@gmail.com
, ****@vinai.io
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.
Research Scientist
VinAI Research (vinai.io)
2020 – Present
Researcher
VinAI Research (vinai.io)
2020 – 2022
Lecturer
Bach Khoa University (HCMUT) (hcmut.edu.vn)
2018 – 2020
Lecturer
Ho Chi Minh City University of Technology (hcmut.edu.vn)
2018 – 2020
Research Fellow
National University of Singapore (nus.edu.sg)
2016 – 2018
Postdoc
National University of Singapore (nus.edu.sg)
2016 – 2018
PhD student
National University of Singapore (nus.edu.sg)
2012 – 2016
Undergrad student
Bach Khoa University (HCMUT) (hcmut.edu.vn)
2005 – 2010
Undergrad student
Ho Chi Minh City University of Technology (hcmut.edu.vn)
2005 – 2010
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Postdoc Advisor
Gim Hee Lee
****@comp.nus.edu.sg
2017 – 2018
PhD Advisor
Gim Hee Lee
****@nus.edu.sg
2017 – 2018
Postdoc Advisor
Michael S. Brown
****@eecs.yorku.ca
2016 – 2017
PhD Advisor
Michael Brown
****@eecs.yorku.ca
2012 – 2016
PhD Advisor
Michael S. Brown
****@eecs.yorku.ca
2012 – 2016
Coauthor
Michael Brown
****@comp.nus.edu.sg
2011 – 2014
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
Image Processing
2012 – Present
Computer Vision
2012 – Present
Machine Learning
2012 – Present
Image Processing, Computer Vision
2012 – 2022