Soroush Nasiriany

University of Texas, Austin

Names

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

Soroush Nasiriany (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.

****@cs.utexas.edu
,
****@gmail.com

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.

PhD student
University of Texas, Austin (utexas.edu)
2020Present
 
MS student
University of California Berkeley (berkeley.edu)
20192020
 
Undergrad student
University of California Berkeley (berkeley.edu)
20152019
 

Advisors, Relations & Conflicts

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

Coauthor
Ajay Mandlekar
****@stanford.edu
2021Present
 
Coauthor
Josiah Wong
****@stanford.edu
2021Present
 
Coauthor
Chen Wang
****@stanford.edu
2021Present
 
Coauthor
Danfei Xu
****@stanford.edu
2021Present
 
Coauthor
Roberto Martín-Martín
****@stanford.edu
2021Present
 
Coauthor
Fei-Fei Li
****@stanford.edu
2021Present
 
Coauthor
Silvio Savarese
****@cs.stanford.edu
2021Present
 
Coauthor
Huihan Liu
****@utexas.edu
2021Present
 
PhD Advisor
Yuke Zhu
****@cs.utexas.edu
2020Present
 
Coauthor
Ashvin Nair
****@berkeley.edu
20192020
 
Coauthor
Glen Berseth
****@gmail.com
20192020
 
Coauthor
Vitchyr H. Pong
****@berkeley.edu
20182020
 
Coauthor
Sergey Levine
****@eecs.berkeley.edu
20162020
 

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

Imitation Learning
2021Present
 
Robot Manipulation
2018Present
 
Reinforcement Learning
20182021