World's Best Scientists 2026 revealed!

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Computer Science

D-Index
82
Citations
40968
World Ranking
933
National Ranking
508

Research.com Recognitions

  • 2011 - ACM AAAI Allen Newell Award For fundamental, paradigm-changing contributions to computer science and biological sciences, most notably bringing together models of immune systems, automated diversity, and network epidemiology, with significant impact on real computer and biological systems research and practice.

Overview

Stephanie Forrest is affiliated with Arizona State University in the United States. Their research primarily centers on computer science, with a strong focus on artificial intelligence, software, information systems, molecular biology, and computer vision and pattern recognition. Forrest's work spans multiple interconnected subfields, contributing to various areas within computer science.

The main topics within Forrest's body of research include:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Evolutionary Algorithms and Applications
  • Advanced Malware Detection Techniques
  • Advanced Neural Network Applications
  • Security and Verification in Computing
  • Software Reliability and Analysis Research

Frequent coauthors of Forrest include:

  • Westley Weimer (12 collaborations)
  • Adam Doupé (6 collaborations)
  • Kirtus G. Leyba (5 collaborations)
  • Jhe-Yu Liou (5 collaborations)
  • Carole-Jean Wu (5 collaborations)

Their research has been published in a variety of venues, with notable publications in:

  • arXiv (Cornell University), 8 papers
  • Proceedings of the National Academy of Sciences, 3 papers
  • Nature Machine Intelligence, 2 papers
  • IEEE Transactions on Dependable and Secure Computing, 2 papers
  • ACM Transactions on Evolutionary Learning and Optimization, 2 papers

Some representative recent papers authored or coauthored by Forrest include:

  • "The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities," published in 2020 in Artificial Life
  • "A biological perspective on evolutionary computation," published in 2021 in Nature Machine Intelligence
  • "Wastewater Monitoring Raises Privacy and Ethical Considerations," published in 2021 in IEEE Transactions on Technology and Society
  • "Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection," published in 2021 in PLoS Computational Biology
  • "GEVO," published in 2020 in ACM Transactions on Architecture and Code Optimization

Forrest has been recognized with the ACM AAAI Allen Newell Award in 2011. The award citation notes contributions bridging computer science and biological sciences, specifically highlighting models of immune systems, automated diversity, and network epidemiology, as well as their impact on systems research and practice.

Best Publications

  • Self-Nonself Discrimination in a Computer

    Stephanie Forrest;Alan S. Perelson;Lawrence Allen;Rajesh Cherukuri

  • A Sense of Self for Unix Processes

    Stephanie Forrest;Steven A. Hofmeyr;Anil Somayaji;Thomas A. Longstaff

  • Intrusion detection using sequences of system calls

    Steven A. Hofmeyr;Stephanie Forrest;Anil Somayaji

  • Detecting intrusions using system calls: alternative data models

    C. Warrender;S. Forrest;B. Pearlmutter

  • Genetic algorithms: principles of natural selection applied to computation

    Stephanie Forrest

  • Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms

    Terry Jones;Stephanie Forrest

  • Computer immunology

    Stephanie Forrest;Steven A. Hofmeyr;Anil Somayaji

  • GenProg: A Generic Method for Automatic Software Repair

    C. Le Goues;ThanhVu Nguyen;S. Forrest;W. Weimer

  • Architecture for an Artificial Immune System

    Steven A. Hofmeyr;Stephanie A. Forrest

  • Email networks and the spread of computer viruses.

    M. E. J. Newman;Stephanie Forrest;Stephanie Forrest;Justin Balthrop

  • Automatically finding patches using genetic programming

    Westley Weimer;ThanhVu Nguyen;Claire Le Goues;Stephanie Forrest

  • The royal road for genetic algorithms: Fitness landscapes and GA performance

    Melanie Mitchell;Stephanie Forrest;John H. Holland

  • Building diverse computer systems

    S. Forrest;A. Somayaji;D.H. Ackley

  • An immunological approach to change detection: algorithms, analysis and implications

    Patrik D'haeseleer;Stephanie Forrest;Paul Helman

  • A systematic study of automated program repair: fixing 55 out of 105 bugs for $8 each

    Claire Le Goues;Michael Dewey-Vogt;Stephanie Forrest;Westley Weimer

  • Relative Building-Block Fitness and the Building-Block Hypothesis

    Stephanie Forrest;Melanie Mitchell

  • Randomized instruction set emulation to disrupt binary code injection attacks

    Elena Gabriela Barrantes;David H. Ackley;Stephanie Forrest;Trek S. Palmer

  • Principles of a computer immune system

    Anil Somayaji;Steven Hofmeyr;Stephanie Forrest

  • When will a Genetic Algorithm Outperform Hill Climbing

    Melanie Mitchell;John H. Holland;Stephanie Forrest

  • An immunological model of distributed detection and its application to computer security

    Stephanie Forrest;Steven Andrew Hofmeyr

  • Genetic algorithms

    Stephanie Forrest

Frequent Co-Authors

Westley Weimer
Westley Weimer University of Michigan–Ann Arbor
Alan S. Perelson
Alan S. Perelson Los Alamos National Laboratory
Claire Le Goues
Claire Le Goues Carnegie Mellon University
Melanie Mitchell
Melanie Mitchell Santa Fe Institute
Derek J. Smith
Derek J. Smith University of Cambridge
Deepak Kapur
Deepak Kapur University of New Mexico
Tyler Moore
Tyler Moore University of Tulsa
Jack W. Davidson
Jack W. Davidson University of Virginia
Miles P. Davenport
Miles P. Davenport University of New South Wales
Jennifer Rexford
Jennifer Rexford Princeton University

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