Giulia Fanti
Assistant Professor, Electrical and Computer Engineering
Courtesy Appointment, Computer Science Department
Giulia Fanti is an assistant professor of Electrical and Computer Engineering at Carnegie Mellon University. Her research interests span the algorithmic foundations of blockchains, distributed systems, privacy-preserving technologies, and machine learning. She is a fellow for the World Economic Forum’s Global Future Council on Cybersecurity, and has received a best paper award at ACM Sigmetrics and an NSF Graduate Research Fellowship. She obtained her Ph.D. in EECS from U.C. Berkeley and her B.S. in ECE from Olin College of Engineering.
Algorithmic Foundations of Blockchains
Education
2015 Ph.D., Electrical Engineering & Computer Science, University of California - Berkeley
2012 MS, Electrical Engineering & Computer Science, University of California - Berkeley
2010 BS, Electrical & Computer Engineering, Olin College of Engineering
Affiliations
Media mentions
CyLab Security and Privacy Institute
First round of Future Enterprise Security Initiative funded projects announced
CyLab’s Future Enterprise Security Initiative is underway as the first round of funded proposals has been announced.
CyLab Security and Privacy Institute
CyLab’s Giulia Fanti receives 2022 Rising Star Award
ACM SIGMETRICS named CyLab’s Giulia Fanti the recipient of the 2022 Rising Star Research Award for her “fundamental and interdisciplinary research on scalable systems for data sharing that ensures security and privacy.”
CyLab Security and Privacy Institute
NSF awards CMU researchers $3M to accelerate next-gen networking, computing
CyLab researchers will use nearly $3 million in funding from the National Science Foundation (NSF) to help develop intelligent, resilient and reliable next-generation (NextG) networks.
CyLab Security and Privacy Institute
CyLab researchers awarded AI security funding
CyLab’s Giulia Fanti, Corina Pasareanu, and Vyas Sekar have been awarded research funding from the C3.ai Digital Transformation Institute.
CyLab Security and Privacy Institute
“Adulting” for cybersecurity, GANs, and more: CyLab’s 2022 seed funding awardees
Over $400K in seed funding has been awarded to 18 different faculty and staff across seven departments at Carnegie Mellon to support security and privacy research.
CyLab Security and Privacy Institute
CyLab’s Giulia Fanti named a 2021 Intel “Rising Star”
The prestigious award recognizes 10 promising early-career academic researchers who lead some of the most important technology research of our time.
CyLab Security and Privacy Institute
CyLab names 2021 Presidential Fellows
Four high-achieving CyLab Ph.D. students pursuing security and/or privacy-related research have been awarded CyLab Presidential Fellowships.
CyLab Security and Privacy Institute
Third round of Secure and Private IoT Initiative funded projects announced
Carnegie Mellon CyLab’s Secure and Private IoT Initiative (IoT@CyLab) has announced its third round of funding, which will support 12 Internet of Things (IoT)-related projects for one year.
CyLab Security and Privacy Institute
CMU-Africa and CyLab aim to improve financial inclusion in emerging economies
Carnegie Mellon University (CMU) CyLab and CMU-Africa have established the CyLab-Africa initiative, which aims to improve the cybersecurity of financial systems in Africa and other emerging economies.
Alfred P. Sloan Foundation
Fanti and Lucia Receive 2021 Sloan Research Fellowship
ECE’s Giulia Fanti and Brandon Lucia are recipients of the 2021 Sloan Research Fellowship, which honors early career scholars whose achievements put them among the very best scientific minds working today.
CyLab
Fanti, Sekar, and Lin quoted on privacy research
ECE Ph.D. student Zinan Lin created a new tool that helps maintain online privacy when companies work together. His advisors are ECE’s Vyas Sekar and Giulia Fanti.
CyLab Security and Privacy Institute
New tool simplifies data sharing, preserves privacy
According to a new study authored by researchers in Carnegie Mellon University’s CyLab and IBM, a new tool can help circumvent the privacy issue in data sharing.