The SPARTA Lab is currently looking for self-motivated students seeking a Ph.D. in Computer Science and interested in pursuing research in topics related to computational social science, online privacy, and Internet measurement. Send an email to "rishab[-]nithyanand[at]uiowa[dot]edu" with the subject "you NEED to hire me!" if you're interested in working with us and have a demonstrably strong background in any of the following areas: computer networking, statistics, text analytics, or experiment design.

The Security, Privacy, and Anonymity Research Team at UIowa is a group of researchers who enjoy working towards improving security, privacy, anonymity, and transparency. Beyond technical solutions, we are also interested in achieving a better understanding of the underlying economic, social, legal, and ethical issues which make security, privacy, anonymity, and transparency challenging to achieve. We are part of the Department of Computer Science at The University of Iowa.

Current Researchers


Rishab Nithyanand Assistant Professor

Ph.D. students

Hussam Habib Fall 2019 -
Maaz Bin Musa Fall 2019 -
Adnan Ahmed Fall 2021 -
Sarmad Chandio Fall 2021 -

M.Sc. students

Lucas Ausberger Spring 2022 -

B.Sc. students

Research Themes

Advertising & Tracking

We perform measurements and analysis to uncover how your data is shared between different entities in the online advertising and tracking ecosystem.

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IPv6 Censorship

We study how nations around the world are deploying information controls mechanisms on the IPv6 Internet. We use this knowledge to improve the state-of-the-art in censorship circumvention mechanisms and tools.

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Platform Auditing

We conduct large-scale audits of online platforms to understand how they impact their users.

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Next-generation Networking

We conduct measurements to improve our understanding of next-generation networking protocols such as IPv6, MultiPath TCP, and satellite communication.

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Online Radicalization

We identify the different ways in which the Internet can be used to radicalize vulnerable individuals and design intervention techniques to prevent online radicalization.

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