Margaret (Maggie) Eppstein
Professor Emeritus, Department of Computer Science
Research Professor
- Ph.D., Civil & Environmental Engineering - University of Vermont
- M.S., Computer Science - University of Vermont
- B.S., Zoology - Michigan State University
Department of Computer Science
BIO
Professor Eppstein has a very interdisciplinary educational background and interests, with a BS in biology, an MS in computer science, and a PhD in environmental engineering. She joined the Computer Science faculty in 1983 and became Department Chair in 2012. She is a tireless champion for breaking down disciplinary barriers in education and research. In 2006 she became founding director of the , and in 2010 she led the working group that succeeded in making Complex Systems one of ¶¶Òõ̽̽'s three Transdicsiplinary Research Initiatives.
Her active research program in computational modeling and analysis of complex systems spans a wide range of physical, biological, sociological, and technological systems and has been funded by a variety of federal agencies including NSF, NIH, DOT, DOE, and USGS. She has developed and taught 19 different computer science courses at all levels, and is currently teaching two popular graduate classes (also taken by some strong undergraduate students); CS 352 Evolutionary Computation (Fall semester) and CS 302 Modeling Complex Systems (Spring semester).
Courses
- CS 050 - Seminar for New CS Majors
- CS/CSYS 302 - Modeling Complex Systems
Area(s) of expertise
Complex systems modeling and analysis, including evolutionary and agent-based computing, artificial neural networks, complex networks, etc., with applications in a variety of biological, physical, technological, and social domains.
Bio
Professor Eppstein has a very interdisciplinary educational background and interests, with a BS in biology, an MS in computer science, and a PhD in environmental engineering. She joined the Computer Science faculty in 1983 and became Department Chair in 2012. She is a tireless champion for breaking down disciplinary barriers in education and research. In 2006 she became founding director of the , and in 2010 she led the working group that succeeded in making Complex Systems one of ¶¶Òõ̽̽'s three Transdicsiplinary Research Initiatives.
Her active research program in computational modeling and analysis of complex systems spans a wide range of physical, biological, sociological, and technological systems and has been funded by a variety of federal agencies including NSF, NIH, DOT, DOE, and USGS. She has developed and taught 19 different computer science courses at all levels, and is currently teaching two popular graduate classes (also taken by some strong undergraduate students); CS 352 Evolutionary Computation (Fall semester) and CS 302 Modeling Complex Systems (Spring semester).
Courses
- CS 050 - Seminar for New CS Majors
- CS/CSYS 302 - Modeling Complex Systems
Areas of Expertise
Complex systems modeling and analysis, including evolutionary and agent-based computing, artificial neural networks, complex networks, etc., with applications in a variety of biological, physical, technological, and social domains.