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Roberto Tamassia

Roberto Tamassia

D-Index & Metrics

Computer Science

D-Index
73
Citations
24752
World Ranking
1569
National Ranking
819

Research.com Recognitions

  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - ACM Fellow For contributions to graph drawing, algorithms and data structures and to computer science education.
  • 2009 - IEEE Fellow For contributions to graph drawing and computer-science education
  • 2006 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering the field of graph drawing and for outstanding contributions to the design of graph and geometric algorithms

Overview

Roberto Tamassia is affiliated with Brown University in the United States and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, cryptography, and data security. Their research spans various subfields and topics related to data management, privacy, and algorithms.

Their recent publications reflect work primarily in privacy-preserving technologies and secure data handling methods. Notable papers include:

  • "The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures," 2022, Proceedings of the 2022 International Conference on Management of Data
  • "Attacks on Encrypted Response-Hiding Range Search Schemes in Multiple Dimensions," 2023, Proceedings on Privacy Enhancing Technologies
  • "Time- and Space-Efficient Aggregate Range Queries over Encrypted Databases," 2022, Proceedings on Privacy Enhancing Technologies
  • "Range Search over Encrypted Multi-Attribute Data," 2022, Proceedings of the VLDB Endowment
  • "The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures," 2020, arXiv (Cornell University)

Frequent collaborators in their research include Evangelia Anna Markatou, Zachary Espiritu, Francesca Falzon, Evgenios M. Kornaropoulos, and Silei Ren.

The primary venues in which they have published include:

  • Proceedings on Privacy Enhancing Technologies
  • Proceedings of the 2022 International Conference on Management of Data
  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)

Roberto Tamassia's main fields of study are centered in computer science, particularly artificial intelligence, with additional focus on management science and operations research, computational theory and mathematics, and signal processing.

Their key research topics encompass:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Internet Traffic Analysis and Secure E-voting
  • Data Quality and Management
  • Bayesian Modeling and Causal Inference
  • Complexity and Algorithms in Graphs
  • Data Management and Algorithms

Throughout their career, Roberto Tamassia has received several distinctions, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2012
  • ACM Fellow, 2012, for contributions to graph drawing, algorithms and data structures and to computer science education
  • IEEE Fellow, 2009, for contributions to graph drawing and computer-science education
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society, 2006, for pioneering the field of graph drawing and for outstanding contributions to the design of graph and geometric algorithms

Best Publications

  • Graph Drawing: Algorithms for the Visualization of Graphs

    Giuseppe Di Battista;Peter Eades;Roberto Tamassia;Ioannis G. Tollis

  • Algorithms for drawing graphs: an annotated bibliography

    Giuseppe Di Battista;Peter Eades;Roberto Tamassia;Ioannis G. Tollis

  • Dynamic provable data possession

    Chris Erway;Alptekin Küpçü;Charalampos Papamanthou;Roberto Tamassia

  • On embedding a graph in the grid with the minimum number of bends

    Roberto Tamassia

  • Data Structures and Algorithms in Java

    Michael T. Goodrich;Roberto Tamassia

  • Automatic graph drawing and readability of diagrams

    R. Tamassia;G. Di Battista;C. Batini

  • Handbook of Graph Drawing and Visualization

    Roberto Tamassia

  • A unified approach to visibility representations of planar graphs

    Roberto Tamassia;Ioannis G. Tollis

  • Dynamic Provable Data Possession

    C. Chris Erway;Alptekin Küpçü;Charalampos Papamanthou;Roberto Tamassia

  • On the Computational Complexity of Upward and Rectilinear Planarity Testing

    Ashim Garg;Roberto Tamassia

  • External-memory graph algorithms

    Yi-Jen Chiang;Michael T. Goodrich;Edward F. Grove;Roberto Tamassia

  • Algorithms for plane representations of acyclic digraphs

    Giuseppe Di Battista;Roberto Tamassia

  • On-Line Planarity Testing

    Giuseppe Di Battista;Roberto Tamassia

  • Deterministic Rendezvous in Graphs

    Anders Dessmark;Pierre Fraigniaud;Andrzej Pelc

  • Planar grid embedding in linear time

    R. Tamassia;I.G. Tollis

  • Authenticated Data Structures

    Roberto Tamassia

  • Privacy-preserving group data access via stateless oblivious RAM simulation

    Michael T. Goodrich;Michael Mitzenmacher;Olga Ohrimenko;Roberto Tamassia

  • Incremental planarity testing

    G. Di Battista;R. Tamassia

  • Algorithm Design: Foundations, Analysis, and Internet Examples

    Michael T. Goodrich;Roberto Tamassia

  • A layout algorithm for data flow diagrams

    C. Batini;E. Nardelli;R. Tamassia

  • External-Memory Graph Algorithms

    Yi-Feng Chian;Michael T. Goodrich;Edward Grove;Roberto Tamassia

Frequent Co-Authors

Michael T. Goodrich
Michael T. Goodrich University of California, Irvine
Giuseppe Di Battista
Giuseppe Di Battista Roma Tre University
Ioannis G. Tollis
Ioannis G. Tollis University of Crete
Giuseppe Liotta
Giuseppe Liotta University of Perugia
Danfeng Yao
Danfeng Yao Virginia Tech
Jeffrey Scott Vitter
Jeffrey Scott Vitter University of Mississippi
Franco P. Preparata
Franco P. Preparata Brown University
Michael Mitzenmacher
Michael Mitzenmacher Harvard University
Peter Scheuermann
Peter Scheuermann Northwestern University

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