Sergey M. Plis

Georgia State University

Names

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

Sergey M. Plis
,
Sergey Plis

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.

****@mrn.org
,
****@gmail.com
,
****@gsu.edu

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.

Associate Professor
Georgia State University (gsu.edu)
2019Present
 
Assistant Professor
The Mind Research Network (mrn.org)
20102018
 
PhD student
University of New Mexico (unm.edu)
20022007
 
PhD student
Los Alamos National Laboratory (lanl.gov)
20022007
 

Advisors, Relations & Conflicts

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

Coauthor
David Danks
****@cmu.edu
20132018
 
Coauthor
Devon Hjelm
****@gmail.com
20132018
 
Coauthor
Kyunghyun Cho
****@umontreal.ca
20162016
 
Coauthor
Tulay Adali
****@umbc.edu
20142016
 
Coauthor
R. devon Hjelm
****@gmail.com
20132016
Coauthor
Vamsi Potluru
****@gmail.com
20072015
 
Coauthor
Ronald Phlypo
****@inria.fr
20142014
 
Coauthor
Mustafa Çetin
****@gmail.com
20142014
 
Coauthor
Ronald Phlypo
****@umbc.edu
20142014
 
Coauthor
Ruslan Salakhutdinov
****@cs.toronto.edu
20132014
 
Coauthor
Morten Mã¸rup
****@imm.dtu.dk
20092009
 
Postdoc Advisor
Terran Lane
****@gmail.com
20072009
 

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
20152018
 
natural language processing
20152018
 
causal learning
20072018
 
graphical models
20072018
 
neuroimaging
20012018
 
signal processing
20012018
 
matrix factorization
20072012