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E-Learning


Laura Ricci
Associate Professor
 

Department of Computer Science, University of Pisa
Largo Bruno Pontecorvo, 3, I-56127, Pisa, Italy
email: ricci(AT)di.unipi.it
skype: lauraemiliaricci 
phone: +39 050 22127.68, 
fax: +39 050 22127.26

question time: 
thursday, 15.00-18.00 PM


Highlights
Conferences and Special Issues:


Recently Accepted papers

  •   Blockchain Based Access Control Services, Damiano Di Francesco Maesa, Paolo Mori, Laura Ricci, IEEE Symposium on Recent Advances on Blockchain and its Applications, Halifax, Canada, August 2018
  • BITKER: a P2P kernel client for Bitcoin, Damiano Di Francesco Maesa, Matteo Franceschi, Barbara Guidi and Laura Ricci, 7th International Workshop on Peer-to-Peer Architectures, Networks and Systems (PANS 2018), in conjunction with HPCS 2018, July 16 - July 20, 2018, Orleans, France
  • Service Provisioning in Mobile Environments through Opportunistic Computing, M. Conti, D. Mascitti, A. Passarella, L. Ricci,  IEEE Transaction on Mobile Computing, accepted for pubblication
  • A survey on privacy in decentralized online social networks, A. De Salve, P. Mori, L. Ricci, Elsevier Computer Science Review, 27.
  • A Logical Key Hierarchy based approach to preserve content privacy in Decentralized Online Social Networks , A. De Salve, R. Di Pietro, P. Mori, L, Ricci accepted for pubblication in  IEEE Transaction on Dependable and Secure Computing,
  • Area of Interest Management in Massively Multiplayer Online Games, E. Carlini, L. Ricci,  Encyclopedia of Computer Graphics and Games, Springer
  • Aggregation Techniques for the Internet of things: a Survey B. Guidi, L. Ricci, submitted for the book “Internet of Things for Smart Urban Ecosystems
  • Detecting Artificial Behaviours in the Bitcoin Users Graph,  D. Di Francesco Maesa, A. Marino, L. Ricci,  accepted for pubblication in Online Social Networks and Media, Elsevier, October 2017
  •  Data driven analysis of Bitcoin properties: exploiting the users graph, D. Di Francesco Maesa, A. Marino, L. Ricci, accepted for pubblication in International Journal of Data Science and Analytics.
  • NG-Dbscan: Scalable Density-Based Clustering for Arbitrary Data, with M.Dell'Amico, A.Lulli, P.Michiardi,  VLDB 2017PVLDB, Proceedings of the VLDB Endowment, Volume  10, Munich, August 2017.
  • Connected Components in Large Graphs by Vertex Pruning with Emanuele Carlini, Patrizio Dazzi, Alessandro Lulli, Claudio Lucchese, Transaction on Parallel and Distributed Systems (Rating ANVUR A)
  • Model driven generation of mobility traces for Distributed Virtual Environments with TRACE, E.Carlini, A. Lulli, L.Ricci, accepted for pubblication in Concurrency and Computations: Practice and Experience.
  • Evaluation of structural and temporal properties of ego networks for data availability in DOSNs, A.De Salve, B. Guidi, L. Ricci, Mobile Social Networks and Applications, 2017
  • A data aggregation strategy for the Internet of Things, A. De Salve, B. Guidi,  SYNASC 2017, 19-th Int. Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Timisoara, September 2017
  • Evaluating the impact of friend in predicting user's availability in Online Social Networks, A. De Salve, P. Mori, L. Ricci, First International Workshop on Personal Analytics and Privacy, PAP 2017, in conjunction with  ECML PKDD 2017

Teaching
PhD Students
Current Students 
Former Students
  • Emanuele Carlini - researcher, tenure track, HPC-Lab, ISTI, CNR, Pisa.
  • Andrea De Salve, post doc at IIT, CNR, Pisa
  • Luca Genovali - enterprise manager 
  • Barbara Guidi - post doc at the Department of Computer Science, Pisa, 
  • Alessandro Lulli - post doc at SmartLab, DIBRIS Department, University of Genova
  • Davide Mascitti - Biobeats, start-up University of Pisa.
Available Thesis
Some proposals for Master/Bachelor Thesis:
  • Blockchain technology: Bitcoin transactions analysis, application of blockchain in non conventional areas
  • Social Networks: privacy and availability in Distributed Online Social Networks, Social Data Analysis
  • Big Data Analysis: Distributed Algorithms for Big Data on Apache SPARK
For further information, send an e-mail to a ricci(AT)di.unipi.it, or contact me during question time (on thursday 15.00-18.00 PM).
Projects