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Computer Science

D-Index
63
Citations
19388
World Ranking
2718
National Ranking
1350

Research.com Recognitions

  • 2016 - ACM Fellow For contributions to the field of theoretical computer science.
  • 2015 - Fellow of the American Academy of Arts and Sciences

Overview

Ravi Kannan is affiliated with Microsoft in the United States. Their research focuses primarily on dentistry, with a strong emphasis on orthodontics, oral surgery, and periodontics. They have contributed to a total of 51 publications in these fields and their subfields, including computational theory and mathematics as well as general dentistry.

The scientist's main research topics include:

  • Orthodontics and Dentofacial Orthopedics
  • Dental materials and restorations
  • Dental Research and COVID-19
  • Oral microbiology and periodontitis research
  • Dental Implant Techniques and Outcomes
  • Temporomandibular Joint Disorders
  • Dental Anxiety and Anesthesia Techniques

Ravi Kannan has published extensively in various journals, with frequent publications appearing in:

  • JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
  • Dental Press Journal of Orthodontics
  • arXiv (Cornell University)
  • Journal of Pharmacy And Bioallied Sciences
  • International Journal of Orthodontic Rehabilitation

Some recent publications include:

  • "Properties of Orthodontic Clear Aligner Materials - A Review" (2021), Journal of Evolution of Medical and Dental Sciences
  • "Reproducibility of linear and angular cephalometric measurements obtained by an artificial-intelligence assisted software (WebCeph) in comparison with digital software (AutoCEPH) and manual tracing method" (2023), Dental Press Journal of Orthodontics
  • "Survival rate and stability of surface-treated and non-surface-treated orthodontic mini-implants: a randomized clinical trial" (2023), Dental Press Journal of Orthodontics
  • "Evaluation of Antibacterial Effect of Hybrid Nano-coating of Stainless Steel Orthodontic Brackets on Streptococcus Mutans - An In vitro Study" (2024), Journal of Pharmacy And Bioallied Sciences
  • "Evaluation of the Ion release from nanoparticles coated orthodontic brackets - In vitro Study" (2022), International Journal of Orthodontic Rehabilitation

Their work has involved collaboration with frequent coauthors, including:

  • Sangeetha Duraisamy
  • Krishnaraj Rajaram
  • Poornima Jnaneshwar
  • Dilip Srinivasan
  • Sushil Chakravarthi

Ravi Kannan has been recognized for contributions to theoretical computer science and holds distinctions such as:

  • ACM Fellow (2016) for contributions to the field of theoretical computer science
  • Fellow of the American Academy of Arts and Sciences (2015)

Best Publications

  • On clusterings: Good, bad and spectral

    Ravi Kannan;Santosh Vempala;Adrian Vetta

  • A random polynomial-time algorithm for approximating the volume of convex bodies

    Martin Dyer;Alan Frieze;Ravi Kannan

  • Minkowski's convex body theorem and integer programming

    Ravi Kannan

  • Fast monte-carlo algorithms for finding low-rank approximations

    Alan Frieze;Ravi Kannan;Santosh Vempala

  • 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

  • Improved algorithms for integer programming and related lattice problems

    Ravi Kannan

  • Polynomial Algorithms for Computing the Smith and Hermite Normal Forms of an Integer Matrix

    Ravindran Kannan;Achim Bachem

  • Quick Approximation to Matrices and Applications

    Alan M. Frieze;Ravi Kannan

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

    Petros Drineas;Ravi Kannan;Michael W. Mahoney

  • On clusterings-good, bad and spectral

    R. Kannan;S. Vempala;A. Veta

  • Isoperimetric problems for convex bodies and a localization lemma

    R. Kannan;L. Lovász;M. Simonovits

  • Random walks and an O * ( n 5 ) volume algorithm for convex bodies

    Ravi Kannan;László Lovász;Miklós Simonovits

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

    Petros Drineas;Ravi Kannan;Michael W. Mahoney

  • Computing a nonnegative matrix factorization -- provably

    Sanjeev Arora;Rong Ge;Ravindran Kannan;Ankur Moitra

  • Chva´tal closures for mixed integer programming problems

    W. Cook;R. Kannan;A. Schrijver

  • The Spectral Method for General Mixture Models

    Ravindran Kannan;Hadi Salmasian;Santosh Vempala

  • Learning mixtures of arbitrary gaussians

    Arora Sanjeev;Ravi Kannan

  • Foundations of Data Science

    Avrim Blum;John Hopcroft;Ravindran Kannan.

  • Lattice translates of a polytope and the Frobenius problem

    Ravi Kannan

Frequent Co-Authors

Santosh Vempala
Santosh Vempala Georgia Institute of Technology
Alan Frieze
Alan Frieze Carnegie Mellon University
Petros Drineas
Petros Drineas Purdue University West Lafayette
Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley
Martin Dyer
Martin Dyer University of Leeds
Avrim Blum
Avrim Blum Toyota Technological Institute at Chicago
Marek Karpinski
Marek Karpinski University of Bonn
John E. Hopcroft
John E. Hopcroft Cornell University
Prasad Tetali
Prasad Tetali Carnegie Mellon University
Miklós Simonovits
Miklós Simonovits Alfréd Rényi Institute of Mathematics

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