What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Operating system
- Programming language
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 most cited work include:
- Intrusion detection using sequences of system calls (1230 citations)
- A sense of self for Unix processes (1157 citations)
- Detecting intrusions using system calls: alternative data models (1021 citations)
What are the main themes of her work throughout her whole career to date?
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.
She most often published in these fields:
- Artificial intelligence (18.22%)
- Theoretical computer science (16.19%)
- Immune system (13.77%)
What were the highlights of her more recent work (between 2016-2021)?
- Software (7.69%)
- Evolutionary computation (6.48%)
- Theoretical computer science (16.19%)
In recent papers she was focusing on the following fields of study:
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.
Between 2016 and 2021, her most popular works were:
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (69 citations)
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (24 citations)
- Strategic aspects of cyberattack, attribution, and blame (18 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Programming language
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.
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