World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13684
World Ranking
4274
National Ranking
2014

Research.com Recognitions

  • 2009 - ACM Senior Member

Overview

Petros Drineas is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple disciplines, primarily focusing on biochemistry, genetics, molecular biology, and computer science.

Their work includes contributions in the following main fields of study:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Within these areas, the subfields of study that characterize their research include:

  • Genetics
  • Molecular Biology
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computational Mechanics

The main topics covered by Drineas' work involve:

  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Matrix Theory and Algorithms
  • Bioinformatics and Genomic Networks
  • Sparse and Compressive Sensing Techniques
  • Genetic and phenotypic traits in livestock
  • Stochastic Gradient Optimization Techniques

Recent publications of Petros Drineas include:

  • "Polygenic risk score-based phenome-wide association study identifies novel associations for Tourette syndrome," 2023, Translational Psychiatry
  • "Integrating Linguistics, Social Structure, and Geography to Model Genetic Diversity within India," 2021, Molecular Biology and Evolution
  • "PheWAS and cross-disorder analysis reveal genetic architecture, pleiotropic loci and phenotypic correlations across 11 autoimmune disorders," 2023, Frontiers in Immunology
  • "Enhancing neuroimaging genetics through meta-analysis for Tourette syndrome (ENIGMA-TS): A worldwide platform for collaboration," 2022, Frontiers in Psychiatry
  • "Constructing Compact Signatures for Individual Fingerprinting of Brain Connectomes," 2021, Frontiers in Neuroscience

Drineas has frequently collaborated with other researchers, notably:

  • Peristera Paschou
  • Gregory Dexter
  • Agniva Chowdhury
  • Pritesh Jain
  • Aritra Bose

The venues where Drineas has published most frequently consist of:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • SIAM Journal on Matrix Analysis and Applications
  • Translational Psychiatry
  • Molecular Biology and Evolution

Petros Drineas was honored as an ACM Senior Member in 2009.

Best Publications

  • On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning

    Petros Drineas;Michael W. Mahoney

  • CUR matrix decompositions for improved data analysis

    Michael W. Mahoney;Petros Drineas

  • Clustering Large Graphs via the Singular Value Decomposition

    P. Drineas;A. Frieze;R. Kannan;S. Vempala

  • Fast Monte Carlo Algorithms for Matrices II: Computing a Low-Rank Approximation to a Matrix

    Petros Drineas;Ravi Kannan;Michael W. Mahoney

  • Relative-Error $CUR$ Matrix Decompositions

    Petros Drineas;Michael W. Mahoney;S. Muthukrishnan

  • Fast Monte Carlo Algorithms for Matrices I: Approximating Matrix Multiplication

    Petros Drineas;Ravi Kannan;Michael W. Mahoney

  • Faster least squares approximation

    Petros Drineas;Michael W. Mahoney;S. Muthukrishnan;Tamás Sarlós

  • Fast approximation of matrix coherence and statistical leverage

    Petros Drineas;Malik Magdon-Ismail;Michael W. Mahoney;David P. Woodruff

  • An improved approximation algorithm for the column subset selection problem

    Christos Boutsidis;Michael W. Mahoney;Petros Drineas

  • Fast Monte Carlo Algorithms for Matrices III: Computing a Compressed Approximate Matrix Decomposition

    Petros Drineas;Ravi Kannan;Michael W. Mahoney

  • PCA-correlated SNPs for structure identification in worldwide human populations.

    Peristera Paschou;Elad Ziv;Esteban G Burchard;Shweta Choudhry

  • Sampling algorithms for l2 regression and applications

    Petros Drineas;Michael W. Mahoney;S. Muthukrishnan

  • Randomized Dimensionality Reduction for $k$ -Means Clustering

    Christos Boutsidis;Anastasios Zouzias;Michael W. Mahoney;Petros Drineas

  • RandNLA: randomized numerical linear algebra

    Petros Drineas;Michael W. Mahoney

  • Clustering in large graphs and matrices

    P. Drineas;Alan Frieze;Ravi Kannan;Santosh Vempala

  • Feature selection methods for text classification

    Anirban Dasgupta;Petros Drineas;Boulos Harb;Vanja Josifovski

  • Atomic-level characterization of the ensemble of the Aβ(1-42) monomer in water using unbiased molecular dynamics simulations and spectral algorithms.

    Nikolaos G. Sgourakis;Myrna Merced-Serrano;Christos Boutsidis;Petros Drineas

  • Tensor-CUR Decompositions for Tensor-Based Data

    Michael W. Mahoney;Mauro Maggioni;Petros Drineas

  • Energy minimization via graph cuts: settling what is possible

    D. Freedman;P. Drineas

  • Sampling algorithms for l 2 regression and applications

    Petros Drineas;Michael W. Mahoney;S. Muthukrishnan

  • Near-Optimal Column-Based Matrix Reconstruction

    Christos Boutsidis;Petros Drineas;Malik Magdon-Ismail

  • Fast approximation of matrix coherence and statistical leverage

    Petros Drineas;Malik Magdon-ismail;David Woodruff;Michael W. Mahoney

Frequent Co-Authors

Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley
Malik Magdon-Ismail
Malik Magdon-Ismail Rensselaer Polytechnic Institute
Yiorgos Makris
Yiorgos Makris The University of Texas at Dallas
Ravi Kannan
Ravi Kannan Microsoft (United States)
David P. Woodruff
David P. Woodruff Carnegie Mellon University
Subbaratnam Muthukrishnan
Subbaratnam Muthukrishnan Kansas State University
Kenneth K. Kidd
Kenneth K. Kidd Yale University
George Stamatoyannopoulos
George Stamatoyannopoulos University of Washington
Ananth Grama
Ananth Grama Purdue University West Lafayette
John A. Stamatoyannopoulos
John A. Stamatoyannopoulos University of Washington

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