Ali Behrouz (Preferred)
Ali Behrouz
University of British Columbia
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.
****@cs.ubc.ca
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.
MS student
University of British Columbia (cs.ubc.ca)
2020 – 2023
Undergrad student
Sharif University of Technology, Sharif University of Technology (ce.sharif.edu)
2015 – 2020
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Family
Farnoosh Hashemi
****@ubc.ca
Present
Coauthor
Sadaf Sadeghian
****@cs.ubc.ca
2023 – Present
Coauthor
Margo Seltzer
****@cs.ubc.ca
2020 – Present
Coauthor
Milad Rezaei Hajidehi
****@cs.ubc.ca
2023 – 2023
Coauthor
Mathias Lécuyer
****@ubc.ca
2022 – 2022
Coauthor
Cynthia Rudin
****@cs.duke.edu
2020 – 2022
Coauthor
Laks V.S. Lakshmanan
****@cs.ubc.ca
2020 – 2022
Coauthor
Meeyoung Cha
****@ibs.re.kr
2019 – 2019
Coauthor
Donghee Yvette Wohn
****@gmail.com
2019 – 2019
Coauthor
Jeasurk Yang
****@u.nus.edu
2019 – 2019
Coauthor
Krishnendu Chatterjee
****@ist.ac.at
2018 – 2018
Coauthor
Amir Kafshdar Goharshady
****@cse.ust.hk
2018 – 2018
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
Hypergraphs
2022 – Present
ML in Healthcare
2022 – Present
Brain Networks
2021 – Present
Fairness in Graph Learning
2021 – Present
Explainability in Graph Learning
2021 – Present
Machine Learning on Graphs
2020 – Present
Optimization
2020 – Present
Social Network Analysis
2020 – Present