Sina Farsiu (Preferred)
Sina Farsiu
Duke University
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.
****@duke.edu
, ****@soe.ucsc.edu
Personal Links
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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.
Full Professor
Duke University (duke.edu)
2009 – Present
Postdoc
Duke University Medical Center (dukehealth.org)
2007 – 2009
PhD student
University of California, Santa Cruz (ucsc.edu)
2001 – 2005
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisee
Jessica Loo
****@duke.edu
2017 – 2022
Postdoc Advisee
Reza Rasti
****@duke.edu
2018 – 2020
PhD Advisee
Somayyeh Soltanian Zadeh
****@duke.edu
2015 – 2020
PhD Advisee
Theodore DuBose
****@gmail.com
2015 – 2019
PhD Advisee
David Cunefare
****@duke.edu
2014 – 2019
Postdoc Advisee
Leyuan Fang
****@gmail.com
2016 – 2017
Postdoc Advisee
Jose Lezama
****@google.com
2016 – 2017
Postdoc Advisee
Dibyendu Mukherjee
****@uwindsor.ca
2015 – 2016
Postdoc Advisee
Hussein Rabbani
****@gmail.com
2013 – 2014
Postdoc Advisee
Rolando Estrada
****@gmail.com
2013 – 2014
PhD Advisee
Stephanie Chiu
****@duke.edu
2009 – 2014
Postdoc Advisor
Cynthia Toth
****@duke.edu
2006 – 2007
Coauthor
Michael Elad
****@cs.technion.ac.il
2001 – 2005
PhD Advisor
Peyman Milanfar
****@gmail.com
2001 – 2005
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
Ganglion Cells
2018 – Present
Adaptive Optics
2007 – Present
Optical Coherence Tomography
2007 – Present