Ph.D. students

I am always looking for highly-motivated PhD students, especially students interested in privacy and security for Big Data, IoT and service computing. Send me an email with your resume, if interested.

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Recent publications

A. Bartoli, B. Carminati, E. Ferrari, and E. Medvet. A Language and an Inference Engine for Twitter Filtering Rules,  IEEE/WIC/ACM WI, to appear.

S. Jaradat, N. Dokoohaki,  M. Matskin, E. Ferrari. Trust And Privacy Correlations in Social Networks A Deep Learning Framework. IEEE/ACM ASONAM 2016, to appear.

P. Colombo, E. Ferrari. Towards Towards Virtual Private NoSQL Datastore, ICDE 2016.

N. Laleh, B. Carminati, E. Ferrari. Risk Assessment in Social Networks based on User Anomalous Behaviour. IEEE Transactions on Dependable and Secure Computing (TDSC), to appear.

D. A. Albertini, B. Carminati, E. Ferrari. An extended access control mechanism exploiting data dependencies.  International Journal of Information Security (IJS), Springer. February 2016.


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IBM Faculty Award

I received an IBM Faculty Award for my proposal “Privacy-preserving Big Data Analytics” (research done in collaboration with Pietro Colombo).

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I have  been named  IEEE Fellow for contributions to security and privacy for data and applications

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I have  been named  2011 ACM Distinguished Scientist.  See the press release at the ACM Web Site.

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Google award

I received a Google research award for my proposal “Privacy Preference Mining: combining social search technologies and data mining tools to protect the privacy of On-line social network users”.

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IEEE interview

Check my interview with the IEEE Computer Society.

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IEEE award

Elena Ferrari has been selected as the recipient of an IEEE Computer Society Technical Achievement Award for pioneering contributions to Secure Data Management.

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