Faculty Profiles
Erik Goodman
Professor
Research Interests
- computational biology
- evolution
- evolutionary computation
- wireless networks
Research Biography
Goodman's principal research interest is evolutionary computation, and in particular, heterogeneous parallel genetic algorithms and genetic programming. His work in the 1990's on using genetic algorithms for automating the design of structures for crashworthiness and noise was so successful that Goodman and Averill co-founded a company, Red Cedar Technology, to refine the technology, use it to solve industrial design problems, and introduce software to industry for solving those problems themselves.
Selected Publications
- Hu, J., E. Goodman, S. Li, and R. Rosenberg, "Automated Synthesis of Mechanical Vibration Absorbers Using Genetic Programming," Artificial Intelligence in Engineering Design and Manufacturing, Vol. 22, No. 3, 2008, pp. 207-217
- Fan, Z., J. Wang, S. Archiche, E. Goodman, and R. Rosenberg, "Structured Synthesis of MEMS Using Evolutionary Approaches," Journal of Applied Computing, 8, pp. 579-589, January 2008.
Selected Achievements and Awards
- 2009 Michigan Distinguished Professor of the Year, named by Presidents Council, State Universities of Michigan
- Founding Chair, ACM Special Interest Group on Genetic and Evolutionary Computation (SIGEVO), 2005
- MSU Alumni Club of Mid-Michigan Quality in Teaching Award, 2007
- Outstanding Faculty and Staff Award from Resource Center for Persons with Disabilities, 2005