World's Best Scientists 2026 revealed!

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Computer Science

D-Index
34
Citations
5836
World Ranking
12068
National Ranking
470

Overview

Lila Kari is affiliated with the University of Waterloo in Canada and has a research portfolio spanning the fields of Biochemistry, Genetics and Molecular Biology as well as Computer Science. Their work integrates concepts from molecular biology and computational theory to address complex biological problems.

The scientist's main research fields include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Within these fields, Kari has contributed to subfields such as:

  • Molecular Biology
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Infectious Diseases

Their primary topics of research concentrate on genomic and bioinformatics challenges, including:

  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Fractal and DNA sequence analysis
  • DNA and Biological Computing
  • Semigroups and Automata Theory
  • Advanced Graph Theory Research
  • Algorithms and Data Compression

Lila Kari's frequent publication venues reflect this interdisciplinary approach, with notable contributions appearing in:

  • Theoretical Computer Science
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • PLoS ONE
  • Bioinformatics

Significant recent papers illustrate the blend of computational and biological research:

  • "Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study," 2020, PLoS ONE
  • "Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "DeLUCS: Deep learning for unsupervised clustering of DNA sequences," 2022, PubMed Central
  • "Environment and taxonomy shape the genomic signature of prokaryotic extremophiles," 2023, Scientific Reports
  • "As good as it gets: a scaling comparison of DNA computing, network biocomputing, and electronic computing approaches to an NP-complete problem," 2021, New Journal of Physics

Kari frequently collaborates with other researchers, with the following being common coauthors in their work:

  • Kathleen A. Hill
  • Gurjit S. Randhawa
  • Pablo Millán Arias
  • Maximillian P. M. Soltysiak
  • Fatemeh Alipour

Best Publications

  • Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study.

    Gurjit S. Randhawa;Maximillian P. M. Soltysiak;Hadi El Roz;Camila P. E. de Souza

  • The many facets of natural computing

    Lila Kari;Grzegorz Rozenberg

  • The evolution of cellular computing: nature’s solution to a computational problem

    Laura F Landweber;Lila Kari

  • Contextual Insertions/Deletions and Computability

    Lila Kari;Gabriel Thierrin

  • DNA computing, sticker systems, and universality ?

    Lila Kari;Gheorghe Păun;Grzegorz Rozenberg;Arto Salomaa

  • Computationally universal P systems without priorities: two catalysts are sufficient

    Rudolf Freund;Lila Kari;Marion Oswald;Petr Sosík

  • DNA Computing Based on Splicing: The Existence of Universal Computers

    Rudolf Freund;Lila Kari;Gheorghe Paun

  • Theory of Evolutionary Computation: Recent Developments in Discrete Optimization

    Unknown

  • The spectrum of genomic signatures: from dinucleotides to chaos game representation

    Yingwei Wang;Kathleen Hill;Shiva Singh;Lila Kari

  • Test Tube Distributed Systems Based on Splicing

    Erzsébet Csuhaj-Varjú;Lila Kari;Gheorghe Paun

  • L Systems

    Lila Kari;Grzegorz Rozenberg;Arto Salomaa

  • Coding properties of DNA languages

    Salah Hussini;Lila Kari;Stavros Konstantinidis

  • Universal Molecular Computation in Ciliates

    Laura F. Landweber;Lila Kari

  • An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes.

    Stephen Solis-Reyes;Mariano Avino;Art Poon;Lila Kari

  • At the crossroads of DNA computing and formal languages: Characterizing recursively enumerable languages using insertion-deletion systems.

    Lila Kari;Gheorghe Paun;Gabriel Thierrin;Sheng Yu

  • DNA computing based on splicing: universality results.

    Csuhaj-Varjú E;Freund R;Kari L;Păun G

  • Using DNA to solve the bounded Post correspondence problem

    Lila Kari;Greg Gloor;Sheng Yu

  • On language equations with invertible operations

    Lila Kari

  • On a special class of primitive words

    Elena Czeizler;Lila Kari;Shinnosuke Seki

  • Computational power of gene rearrangement.

    Lila Kari;Laura F. Landweber

  • On the decidability of self-assembly of infinite ribbons

    L. Adleman;J. Kari;L. Kari;D. Reishus

Frequent Co-Authors

Gheorghe Paun
Gheorghe Paun Romanian Academy
Arto Salomaa
Arto Salomaa Turku Centre for Computer Science
Oscar H. Ibarra
Oscar H. Ibarra University of California, Santa Barbara
Grzegorz Rozenberg
Grzegorz Rozenberg Leiden University
Laura F. Landweber
Laura F. Landweber Columbia University
Gregory B. Gloor
Gregory B. Gloor University of Western Ontario
Leonard M. Adleman
Leonard M. Adleman University of Southern California
Przemyslaw Prusinkiewicz
Przemyslaw Prusinkiewicz University of Calgary
Donald Sannella
Donald Sannella University of Edinburgh
Koji Nakano
Koji Nakano Hiroshima University

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