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.

Rang Nguyen (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.

****@comp.nus.edu.sg
,
****@gmail.com
,
****@vinai.io

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)
2020Present
 
Researcher
VinAI Research (vinai.io)
20202022
 
Lecturer
Bach Khoa University (HCMUT) (hcmut.edu.vn)
20182020
 
Lecturer
Ho Chi Minh City University of Technology (hcmut.edu.vn)
20182020
 
Research Fellow
National University of Singapore (nus.edu.sg)
20162018
 
Postdoc
National University of Singapore (nus.edu.sg)
20162018
 
PhD student
National University of Singapore (nus.edu.sg)
20122016
 
Undergrad student
Bach Khoa University (HCMUT) (hcmut.edu.vn)
20052010
 
Undergrad student
Ho Chi Minh City University of Technology (hcmut.edu.vn)
20052010
 

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
20172018
 
PhD Advisor
Gim Hee Lee
****@nus.edu.sg
20172018
 
Postdoc Advisor
Michael S. Brown
****@eecs.yorku.ca
20162017
 
PhD Advisor
Michael Brown
****@eecs.yorku.ca
20122016
 
PhD Advisor
Michael S. Brown
****@eecs.yorku.ca
20122016
 
Coauthor
Michael Brown
****@comp.nus.edu.sg
20112014

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
2012Present
 
Computer Vision
2012Present
 
Machine Learning
2012Present
 
Image Processing, Computer Vision
20122022