Miguel Á. Carreira-Perpiñán

University of California, Merced

Names

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

Miguel Á. Carreira-Perpiñán (Preferred)
,
Miguel A. Carreira-Perpinan
,
Miguel Carreira-perpinan

Emails

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****@ucmerced.edu

Education & Career History

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Full Professor
University of California, Merced (ucmerced.edu)
2007Present
 

Advisors, Relations & Conflicts

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

PhD Advisee
Kuat Gazizov
****@ucmerced.edu
2022Present
 
PhD Advisee
Rasul Kairgeldin
****@ucmerced.edu
2022Present
 
PhD Advisee
Magzhan Gabidolla
****@ucmerced.edu
2020Present
 
PhD Advisee
Arman Zharmagambetov
****@ucmerced.edu
20172022
 
PhD Advisee
Suryabhan Singh Hada
****@ucmerced.edu
20162022
 
PhD Advisee
Yerlan Idelbayev
****@ucmerced.edu
20162021
 
PhD Advisee
Ramin Raziperchikolaei
****@rakuten.com
20132019
 
PhD Advisee
Pooya Tavallali
****@ucmerced.edu
20162018
 
PhD Advisee
Mohammadkazem Ebrahimpour
****@gmail.com
20162018
 
PhD Advisee
Guoxiang Zhang
****@ucmerced.edu
20152016
 
PhD Advisee
Max Vladymyrov
****@gmail.com
20112016
 
PhD Advisee
Mehdi Alizadeh
****@gmail.com
20132015
 
PhD Advisee
Mina Naghshnejad
****@gmail.com
20132014
 
Coauthor
Zhengdong Lu
****@gmail.com
20112014
 
PhD Advisee
Weiran Wang
****@ttic.edu
20082013
 
PhD Advisee
Ankur Kamthe
****@gmail.com
20072012
 
PhD Advisee
Mohsen Farhadloo
****@ucmerced.edu
20092011
 
PhD Advisee
Chao Qin
****@gmail.com
20052011
 
PhD Advisee
Jianwu Zeng
****@gmail.com
20092010
 
Postdoc Advisor
Geoffrey Hinton
****@cs.toronto.edu
20042004
 
Postdoc Advisor
Richard Zemel
****@cs.toronto.edu
20032004
 
Postdoc Advisor
Geoffrey J. Goodhill
****@uq.edu.au
20002002
 
PhD Advisor
Steve J. Renals
****@ed.ac.uk
19952000
 

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

model interpretability, explainable AI
2018Present
 
model compression
2015Present
 
decision trees and forests
2013Present
 
dimensionality reduction
20042015