Aravind Srinivasan

Amazon

Names

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Aravind Srinivasan

Emails

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****@cs.umd.edu
,
****@umd.edu

Personal Links

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Education & Career History

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Amazon Scholar
Amazon (amazon.com)
2019 – Present
 
Full Professor
University of Maryland, College Park (umd.edu)
2001 – Present
 
Member of Technical Staff
Bell Labs (bell-labs.com)
1998 – 2001
 
Faculty Member
National University of Singapore (nus.edu.sg)
1995 – 1998
 
Member
Institue for Advanced Study, Princeton (ias.edu)
1993 – 1994
 
Postdoc
DIMACS (dimacs.rutgers.edu)
1993 – 1994
 
PhD student
Cornell University (cornell.edu)
1989 – 1993
 
Undergrad student
Indian Institute of Technology Madras (iitm.ac.in)
1985 – 1989
 

Advisors, Relations & Conflicts

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

PhD Advisee
Juan Luque
****@umd.edu
2022 – Present
 
PhD Advisee
Seyed Abdulaziz Esmaeili
****@cs.umd.edu
2021 – Present
 
PhD Advisee
Sharmila Duppala
****@umd.edu
2021 – Present
 
PhD Advisee
Sanna Madan
****@nih.gov
2021 – Present
 
PhD Advisee
Aviva Prins
****@gmail.com
2019 – Present
 
PhD Advisee
Nathaniel Grammel
****@cs.umd.edu
2017 – Present
 
PhD Advisee
Leonidas Tsepenekas
****@gmail.com
2017 – Present
 
Coauthor
Geoffrey Moores
****@terpmail.umd.edu
2018 – 2020
 
PhD Advisee
Brian Brubach
****@gmail.com
2014 – 2020
 
Coauthor
Thomas Pensyl
****@ncsu.edu
2013 – 2020
 
PhD Advisee
Karthik Abinav Sankararaman
****@gmail.com
2014 – 2019
 
PhD Advisee
Pan Xu
****@gmail.com
2013 – 2019
 
PhD Advisee
Amit Chavan
****@gmail.com
2013 – 2018
 
PhD Advisee
Khoa Trinh
****@gmail.com
2012 – 2017
 
PhD Advisee
David G. Harris
****@gmail.com
2011 – 2015
 
Coauthor
Ioana Bercea
****@cs.umd.edu
2011 – 2013
 
PhD Advisee
Bo Han
****@gmail.com
2007 – 2012
 
PhD Advisee
Thomas DuBois
****@gmail.com
2006 – 2011
 
PhD Advisee
David Levin
****@cs.umd.edu
2006 – 2010
 
PhD Advisee
Srinivasan Parthasarathy
****@us.ibm.com
2001 – 2006
 
PhD Advisee
Nan Wang
****@gmail.com
2001 – 2005
 
PhD Advisor
David Shmoys
****@cornell.edu
1991 – 1993
 

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

Fairness
Present
 
Concentration inequalities
Present
 
Continuous optimization
Present
 
Randomized algorithms
Present
 
Theory of machine learning, sample complexity
Present
 
Algorithms, combinatorial optimization
Present
 
Network sparsification
Present
 
Neural network architecture search
Present