Arash Molavi Kakhki

PhD student - Researcher - Nerd - Wanderer

about me

My name is Arash Molavi Kakhki (a.k.a Kakhk), I am a PhD student in Computer Science at Northeastern University, working under Professors Alan Mislove and Dave Choffnes . My research interest broadly lies in the areas of networking, network measurements, and online privacy. You can see a selected number of my current/past projects here.


Identifying traffic differentiation in mobile networks

Arash Molavi Kakhki, Abbas Razaghpanah, Anke Li, Hyungjoon Koo, Rajesh Golani, David Choffnes, Phillipa Gill, Alan Mislove. In Proceedings of the 15th ACM Internet Measurement Conference (IMC'15), Tokyo, Japan, October 2015.
[PDF] [BibTex] [Project page]

Systems and methods for securing online content ratings (patent)

Arash Molavi Kakhki, Alan Mislove. Application number US 14/210,214.
[PDF] [BibTex] [Project page]

Identifying traffic differentiation on cellular data networks (poster -- 2nd place at Student Research Competition)

Arash Molavi Kakhki, Abbas Razaghpanah, Rajesh Golani, David Choffnes, Phillipa Gill, Alan Mislove. Proceedings of the 2014 ACM conference on SIGCOMM, August 2014.
[PDF] [BibTex] [Project page]

Iolaus: Securing online content rating systems

Arash Molavi Kakhki, Chloe Kilman-Silver, and Alan Mislove. Proceedings of the 22nd International World Wide Web Conference (WWW13), Rio de Janeiro Brazil, May 2013.
[PDF] [BibTex] [Project page]

Measuring Personalization of Web Search

A. Hannak, P. Sapiezynski, A. Molavi Kakhki, B. Krishnamurthy, D. Lazer, A. Mislove, and C. Wilson. Proceedings of the 22nd International World Wide Web Conference (WWW13), Rio de Janeiro Brazil, May 2013.
[PDF] [BibTex] [Project page]

Using the Middle to Meddle with Mobile (Non-refereed)

Ashwin Rao, Arash Molavi Kakhki, Abbas Razaghpanah, Amy Tang, Shen Wang, Justine Sherry, Phillipa Gill, Arvind Krishnamurthy, Arnaud Legout, Alan Mislove, and David Choffnes. Tech. Report NEU-CCS-2013-12-10, CCIS, Northeastern University, December 2013. (PDF)
[PDF] [BibTex] [Project page]

Mitigating multiple identity attacks on content rating systems (poster)

Arash Molavi Kakhki, Aniko Hannak, Alan Mislove, and Ravi Sundaram. 23rd ACM Symposium on Operating Systems Principles (SOSP11), Cascais, Portugal, Oct 2011.
[PDF] [BibTex] [Project page]

A comparison of linear and non-linear transmitter and receiver antenna array processing for interference nulling and diversity with non-zero CSI feedback delay

Arash Molavi Kakhki, and H. Reza. Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly (IWCMC 2009).
[PDF] [BibTex]


Verisign Labs, Reston, USA. Research Intern (Summer 2014)

Analysis and characterization of drop-and-catch domain registration ecosystem.

Telefonica, Barcelona, Spain. Research Intern (Summer 2013)

Designed and Implemented an information market which provides users with privacy and gives them control over their browsing data and enables them to selectively sell this data to data aggregators.

Selected projects

Differentiation detector
[project page]

Have you ever wondered if your ISP is slowing down certain traffic relative to others? Unfortunately, you mobile device and carriers currently give you little or no way to tell if this is the case. In fact, with the recently passed FCC rules for net neutrality, it is possibly illegal for mobile carriers to block, shape or modify nearly any kind of network traffic. With Differentiation Detector, we give you a way to test if this is happening to your traffic.

Information Market
[project page]

In this study, we take a step towards realizing a system for online privacy that is mutually beneficial to users and online advertisers: an information market. This system not only maintains economic viability for online services, but provides users with financial compensation to encourage them to participate. We prototype and evaluate an information market that provides privacy and revenue to users while preserving and sometimes improving their Web performance.

[project page]

Iolaus is a system that leverages the underlying social network of online content rating systems to defend against such attacks. Iolaus uses two novel techniques: (a) weighing ratings to defend against multiple identity attacks and (b) relative ratings to mitigate the effect of “bought” ratings.

[project page]

The increasing personalization is leading to concerns about Filter Bubble effects, where certain users are simply unable to access information that the search engines’ algorithm decides is irrelevant. we develop a methodology for measuring personaliza- tion in Web search results.

Personalization tools
[project page]

Development of a browser extension to highlight personalized search results on Google. Development of JavaScript reimplementation of the Geolocation API which was used in this paper to explore the impact of location-based personalization on Google Search results.


Systems and Networks

Guest lectured on network neutrality (Spring 2015).
Guest lectured on TCP congestion control (Spring 2014).
Guest lectured on C debugging (Spring 2013).
Guest lectured on Memory Management (Fall 2012).
Guest lectured on BitTorrent (Spring 2012)

Algorithms and Data Structures

Teaching assistant (Fall 2011).


PhD in computer science (present).

College of Computer and Information Science, Northeastern University.

MS in Communications and Signal Processing.

Department of Electrical Engineering, Imperial College London.

BS in Electrical Engineering.

Department of Electrical Engineering, Sharif University of Technology