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.
Stephanie Forrest mainly investigates Artificial intelligence, Programming language, Genetic algorithm, Computer virus and Anomaly detection. Her studies in Artificial intelligence integrate themes in fields like Fitness landscape, Machine learning and Immune system. Stephanie Forrest focuses mostly in the field of Programming language, narrowing it down to matters related to Genetic programming and, in some cases, Delta Debugging, Software engineering, Software bug, Software maintenance and Source lines of code.
Her work carried out in the field of Genetic algorithm brings together such families of science as Algorithm and Measure. Stephanie Forrest interconnects Change detection, Structure and World Wide Web, Email address in the investigation of issues within Computer virus. Her research investigates the connection between Anomaly detection and topics such as Psychology of self that intersect with issues in Cryptography.
Her primary scientific interests are in Artificial intelligence, Theoretical computer science, Immune system, Computer security and Machine learning. She has researched Artificial intelligence in several fields, including Genetic algorithm, Fitness function and Computation. She has included themes like Evolutionary computation and Set in her Theoretical computer science study.
Her research in Evolutionary computation focuses on subjects like Genetic programming, which are connected to Software. Her work in Immune system addresses issues such as Antigen, which are connected to fields such as Vaccination. Her study in Computer security is interdisciplinary in nature, drawing from both Computer network and The Internet.
Her primary areas of investigation include Software, Evolutionary computation, Theoretical computer science, Software engineering and Computer security. The study incorporates disciplines such as Energy consumption, Genetic programming and Engineering management in addition to Software. Her Theoretical computer science study incorporates themes from Constructive proof and Test input.
The concepts of her Software engineering study are interwoven with issues in Maintenance engineering, Software system, Software development and Benchmark. Her studies deal with areas such as File sharing and Objectivity as well as Computer security. The study of Software analytics is intertwined with the study of Artificial intelligence in a number of ways.
Stephanie Forrest mainly investigates Ant colony, Creativity, Artificial life, Natural and Evolutionary computation. Her Ant colony study integrates concerns from other disciplines, such as Strongly connected component, Multi-agent system, Computation and Cellular automaton. Her Creativity research overlaps with Oral tradition, Narrative, Code, Experimental evolution and Cognitive science.
Combining a variety of fields, including Artificial life, Surprise and Digital evolution, are what the author presents in her essays.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Self-nonself discrimination in a computer
Stephanie Forrest;Alan S. Perelson;Lawrence Allen;Rajesh Cherukuri.
ieee symposium on security and privacy (1994)
A sense of self for Unix processes
Stephanie Forrest;Steven A. Hofmeyr;Anil Somayaji;Thomas A. Longstaff.
ieee symposium on security and privacy (1996)
Intrusion detection using sequences of system calls
Steven A. Hofmeyr;Stephanie Forrest;Anil Somayaji.
Journal of Computer Security (1998)
Detecting intrusions using system calls: alternative data models
C. Warrender;S. Forrest;B. Pearlmutter.
ieee symposium on security and privacy (1999)
Stephanie Forrest;Steven A. Hofmeyr;Anil Somayaji.
Communications of The ACM (1997)
Genetic algorithms: principles of natural selection applied to computation
Architecture for an Artificial Immune System
Steven A. Hofmeyr;Stephanie A. Forrest.
Evolutionary Computation (2000)
Email networks and the spread of computer viruses.
M. E. J. Newman;Stephanie Forrest;Stephanie Forrest;Justin Balthrop.
Physical Review E (2002)
Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms
Terry Jones;Stephanie Forrest.
international conference on genetic algorithms (1995)
GenProg: A Generic Method for Automatic Software Repair
C. Le Goues;ThanhVu Nguyen;S. Forrest;W. Weimer.
IEEE Transactions on Software Engineering (2012)
Profile was last updated on December 6th, 2021.
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