I am a third year Ph.D. student at the Institute for Software Research at Carnegie Mellon University. I am fortunate to be advised by Dr. Travis Breaux.
I am broadly interested in applying natural language processing techniques to solve software engineering problems. More specifically, my research work focuses on developing techniques to extract and analyze privacy requirements using crowdsourcing, natural language processing, and user studies.
During my PhD so far, I have developed a hybridized task re-composition framework, that semi-automatically extracts privacy goals that describe a website's data practices. I have also worked on developing a theory of vagueness and privacy risk perception, with our collaborators, Prof. Joel Reidenberg and Dr. Thomas Nortan.
I have been working on developing an empirically validated framework for understanding and measuring perceived privacy risk.
|May 2017||Our papers on automated hypernymy extraction and on the case study on data purposes have been accepted to RE 2017.|
|March 2017||I am on the program committee for AIRE 2017 workshop. Please consider submitting a paper! .|
|Feb 2017||Our work on developing a framework for understanding and measuring privacy risk has been accepted for discussion at Privacy Law Scholars Conference 2017.|
|Dec 2016||Our TOSEM paper on extracting privacy goals using hybridized task re-composition framework has been invited for presentation at ICSE 2017.|
|16 Nov 2016||Our paper on ambiguity in privacy policies and its impact on regulations is awarded Honorable Mention for Privacy Papers for Policymakers (Press Release).|
|18 Oct 2016||Presented our work on perceived privacy risk at the C3E workshop at Georgia Institute of Technology, Atlanta.|
|16 Sep 2016||Our paper on vagueness and risk perception was nominated for best paper award at RE'16 in Beijing.|
|15 Sep 2016||I will be presenting our paper on vagueness and risk perception at RE 2016, in Beijing (China) on 15 September 2016.|
|Summer 2016||Mentored an (awesome!) undergraduate REU student, Morgan Evans. Developed a technique to automatically identify and extract information type hyponymy relationships in privacy policies.|
|21 Mar 2016||Our paper on extracting privacy goals using hybridized task re-composition framework has been accepted for publication to TOSEM journal first edition.|