Nelly Fazio

Associate Professor

Main Affiliation

Computer Science

Additional Departments/Affiliated Programs

Graduate Center

Areas of Expertise/Research

  • Cryptography

Building

NAC

Office

8/201

Phone

212-650-5151

Fax

212-650-5381

Nelly Fazio

Profile

Nelly  Fazio  is  an  Associate  Professor  in  the  Computer  Science
Departments at the City College  and the Graduate Center of CUNY.  Her
fields of interest include Cryptography and Information Security, with
a focus  on foundations (public-key  and non-commutative cryptography)
and applications (content protection,  access control, and security in
military scenarios).  Her  research is funded in part  by the National
Science  Foundation, by  the U.S.   Army Research  Laboratory  and the
U.K. Ministry of Defence, and by several CUNY research grants.

Dr.  Fazio's awards include  a 2013  NSF CAREER  award, an  NYU Sandra
Bleistein  Prize  for  "notable  achievement  by a  woman  in  Applied
Mathematics or Computer Science", an EU Marie Curie Fellowship, and an
honorable mention  for the NYU  Janet Fabri Prize for  an "outstanding
dissertation in Computer Science".

Dr.  Fazio received  her Ph.D.  from  New York  University, under  the
supervision  of Prof.   Yevgeniy  Dodis.  Her  doctoral training  also
included research visits at  Stanford University, at the Ecole Normale
Superieure  in  Paris, France,  and  at  Aarhus Universitet,  Denmark.
Before  joining CUNY,  Dr.  Fazio  was  a postdoctoral  fellow in  the
Content Protection group at IBM Almaden Research Center and a visiting
researcher  in the  Cryptography Research  group at  IBM  T.J.  Watson
Research center.

Courses Taught

At City College of CUNY:

  • Algorithms
  • Cryptography
  • Computer Security

At the Graduate Center of CUNY:

  • Modern Cryptography
  • Cryptographic Protocols

Research Interests

Cryptography and Information Security.

Additional Information

Affiliations

  • The City College of New York Department of Computer Science
  • CAISS Center The Graduate Center Department of Computer Science