Professional Summary

  • Shomir Wilson is an Assistant Professor of Computer Science in the Department of Electrical Engineering and Computing Systems at the University of Cincinnati. His professional interests span pure and applied research in natural language processing, privacy, and artificial intelligence.

    Shomir was previously a Project Scientist, a Postdoctoral Fellow, and a Lecturer in Carnegie Mellon University's School of Computer Science. A major focus of his work was the Usable Privacy Policy Project, an NSF-funded effort to use crowdsourcing, machine learning, and natural language processing to make websites' privacy practices understandable and actionable for internet users. He also spent a year as an NSF International Research Fellow in the University of Edinburgh's School of Informatics.

    Shomir received his Ph.D. in Computer Science from the University of Maryland in 2011. Twice during graduate school he was awarded fellowships from the NSF's East Asia and Pacific Summer Institutes, which supported him as a visiting researcher at Macquarie University in Sydney, Australia and the National University of Singapore. He received bachelor's degrees in Computer Science, Mathematics, and Philosophy from Virginia Tech in 2005.

Education

  • B.S.: Virginia Tech, 2005
  • B.S.: Virginia Tech, 2005
  • B.A.: Virginia Tech, 2005
  • M.S.: University of Maryland, 2008
  • Ph.D.: University of Maryland, 2011

Research/Clinical Interests

  • Visit http://shomir.net for more information on my research and a list of my publications.

    Much of my research follows a theme that I call user-oriented natural language processing: breaking down lengthy, complex texts that computing users are obligated to read, and automatically finding the salient details that affect them most. This theme brings together natural language processing (NLP), data science, artificial intelligence, digital libraries, privacy, usability, and linguistics.

    My recent work with the Usable Privacy Policy Project has used a combination of crowdsourcing, NLP, and machine learning to extract key details from websites' and mobile apps' privacy policies. I am also interested in privacy in online social networks, and within that topic area I have published on location sharing and post deletion.

    A line of research that I call "the metalanguage project" is also part of my recent work. This is an effort to automatically identify instances of metalanguage (i.e., statements about language use or production) in text and extract from them direct, precise information about artifacts of communication.

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Positions and Work Experience
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  • 2011-2013,Postdoctoral Fellow,Carnegie Mellon University,Pittsburgh, PA
  • 2013-2014,NSF International Research Fellow,University of Edinburgh,Edinburgh, Scotland
  • 2014-2016,Project Scientist / Lecturer,Carnegie Mellon University,Pittsburgh, PA
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Research Grants
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  • 1121941-372288 / CNS-133059609/01/2016-02/28/2018. National Science Foundation. TWC SBE: OPTION: FRONTIER: COLLABORATIVE: TOWARDS EFFECTIVE WEB PRIVACY NOTICE AND CHOICE: A MULTI-DISCIPLINARY PERSPECTIVE, PI, Active.
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Keywords
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  • natural language processing, privacy, artificial intelligence
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