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Computer Science

D-Index
50
Citations
12055
World Ranking
5550
National Ranking
2536

Overview

George Kollios is a researcher affiliated with Boston University in the United States. Their work spans multiple fields, chiefly within computer science and physics and astronomy. The primary focus areas include artificial intelligence, statistical and nonlinear physics, signal processing, and information systems.

The scientist's research topics demonstrate a concentration on complex network analysis techniques, data management and algorithms, and advanced clustering algorithms. Additional areas of interest cover cryptography and data security, privacy-preserving technologies in data, and blockchain technology applications and security.

George Kollios has contributed to several publications in recognized venues. Notable recent papers include:

  • "Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures," 2023, Proceedings of the VLDB Endowment
  • "Efficient Correlation Clustering Methods for Large Consensus Clustering Instances," 2023, arXiv (Cornell University)

Collaborations have been a component of their research output, with frequent co-authors including Nathan Cordner, Lina Qiu, Georgios Kellaris, Nikos Mamoulis, and Kobbi Nissim.

The distribution of publications is mainly in computer science-focused venues, with contributions to both the Proceedings of the VLDB Endowment and the arXiv repository hosted by Cornell University.

Best Publications

  • Discovering similar multidimensional trajectories

    M. Vlachos;G. Kollios;D. Gunopulos

  • Approximate aggregation techniques for sensor databases

    J. Considine;F. Li;G. Kollios;J. Byers

  • Dynamic authenticated index structures for outsourced databases

    Feifei Li;Marios Hadjieleftheriou;George Kollios;Leonid Reyzin

  • On indexing mobile objects

    George Kollios;Dimitrios Gunopulos;Vassilis J. Tsotras

  • On trip planning queries in spatial databases

    Feifei Li;Dihan Cheng;Marios Hadjieleftheriou;George Kollios

  • Mining, indexing, and querying historical spatiotemporal data

    Nikos Mamoulis;Huiping Cao;George Kollios;Marios Hadjieleftheriou

  • MRShare: sharing across multiple queries in MapReduce

    Tomasz Nykiel;Michalis Potamias;Chaitanya Mishra;George Kollios

  • Generic Attacks on Secure Outsourced Databases

    Georgios Kellaris;George Kollios;Kobbi Nissim;Adam O'Neill

  • Efficient biased sampling for approximate clustering and outlier detection in large data sets

    G. Kollios;D. Gunopulos;N. Koudas;S. Berchtold

  • Approximating multi-dimensional aggregate range queries over real attributes

    Dimitrios Gunopulos;George Kollios;Vassilis J. Tsotras;Carlotta Domeniconi

  • Discovering clusters in motion time-series data

    J. Alon;S. Sclaroff;G. Kollios;V. Pavlovic

  • Non-linear dimensionality reduction techniques for classification and visualization

    Michail Vlachos;Carlotta Domeniconi;Dimitrios Gunopulos;George Kollios

  • k-nearest neighbors in uncertain graphs

    Michalis Potamias;Francesco Bonchi;Aristides Gionis;George Kollios

  • Spatio-temporal aggregation using sketches

    Yufei Tao;G. Kollios;J. Considine;F. Li

  • Efficient Indexing of Spatiotemporal Objects

    Marios Hadjieleftheriou;George Kollios;Vassilis J. Tsotras;Dimitrios Gunopulos

  • BoostMap: A method for efficient approximate similarity rankings

    V. Athitsos;J. Alon;S. Sclaroff;G. Kollios

  • Extraction and clustering of motion trajectories in video

    D. Buzan;S. Sclaroff;G. Kollios

  • Nearest Neighbor Queries in a Mobile Environment

    George Kollios;Dimitrios Gunopulos;Vassilis J. Tsotras

  • Authenticated indexing for outsourced spatial databases

    Yin Yang;Stavros Papadopoulos;Dimitris Papadias;George Kollios

  • Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations

    Ke Yi;Feifei Li;G. Kollios;D. Srivastava

  • Efficient Processing of Top-k Queries in Uncertain Databases

    Ke Yi;Feifei Li;G. Kollios;D. Srivastava

  • Authenticated Index Structures for Outsourced Databases

    Feifei Li;Marios Hadjileftheriou;George Kollios;Leonid Reyzin

Frequent Co-Authors

Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Marios Hadjieleftheriou
Marios Hadjieleftheriou AT&T (United States)
Feifei Li
Feifei Li Alibaba Group (China)
Vassilis J. Tsotras
Vassilis J. Tsotras University of California, Riverside
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Stan Sclaroff
Stan Sclaroff Boston University
Leonid Reyzin
Leonid Reyzin Boston University
Dimitris Papadias
Dimitris Papadias Hong Kong University of Science and Technology
Nick Koudas
Nick Koudas University of Toronto
Ke Yi
Ke Yi Hong Kong University of Science and Technology

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