Giulia Fanti

Ph.D. student, Electrical Engineering and Computer Science, U.C. Berkeley

I'm a fifth-year graduate student at UC Berkeley. My research is on privacy-preserving information access and dissemination. My adviser is Professor Kannan Ramchandran.

I have also been fortunate to work with Professor Pramod Viswanath, Professor Sewoong Oh, Dr. Barath Raghavan, and Dr. Gerald Friedland throughout my graduate studies, as well as Professor Oscar Mur-Miranda during my undergraduate studies.


Privacy-preserving information access and dissemination

Ph.D. research

Recent years have brought ever-increasing levels of censorship and monitoring of electronic communications. The goal of this work is to design privacy-preserving tools that enable people to anonymously disseminate and consume content. In particular, I am interested in a range of settings, including low-connectivity scenarios (e.g., when governments turn off key communication infrastructure like the Internet and cellular networks). I am also interested in private information search and retrieval over publicly-available databases, with the goal of moving toward provably privacy-preserving search engines.

Signal processing for graph signals

Graph-structured data arises frequently in modern applications, including in social graphs, sensor networks, and biological networks. The goal of this work is to develop a framework for dealing with signals that are defined over arbitrary graphs, analogous to classical signal processing defined over regular domains (e.g. spatial grid, discrete-time).

Privacy-preserving media retrieval

M.S. research

Current content-based media search techniques can reveal a great deal of information to servers processing such requests. We propose and evaluate a scheme for privacy-preserving media retrieval that reveals no information about the client's query to the server. This could be useful in privacy-preserving surveillance systems, for instance.

Wireless power transfer

Undergraduate research

Recent years have seen renewed interest in wireless power transfer. In this work, we model and characterize the efficiency properties of wireless power transfer using magnetically-coupled resonators.





Probability and Random Processes, Convex Optimization, Statistical Learning, Network Security, Information Theory, Coding Theory, Wireless Communication, Linear System Theory, Signals and Systems, Digital Signal Processing


Signals and Systems

U.C. Berkeley (2013-2014)

Discrete Signal Processing

U.C. Berkeley (Spring 2015)

Alternative energy and social justice

Berkeley High School (2012-2013)


Contact me at gfanti AT eecs DOT berkeley DOT edu.

My resume can be found here.