Philip K. McKinley is a professor of Computer Science and
Engineering at Michigan State University
and a faculty member in MSU's Ecology, Evolutionary Biology and Behavior (EEBB) program.
He has conducted research on group communication and cooperative
behavior in several contexts, including
and autonomic computing.
Recently, McKinley and his colleagues have applied evolutionary computation to develop
robust distributed algorithms,
and collective behaviors for robots and other agents.
In turn, these investigations have led to advances in the study of
complex behaviors in natural organisms.
is an associate professor of Electrical and Computer
Engineering and is the Director of the Smart Microsystems
Laboratory at MSU. His expertise is in electroactive polymer
(EAP) sensors and actuators,
modeling and control of smart materials,
control of autonomous robots. In
particular, he is interested in harnessing evolutionary computing
to understand and develop bio-inspired autonomous robots and
their swarms, and applying them to real-world applications such
as aquatic environmental sensing.
- Dr. Janette Boughman is
an associate professor of Zoology
and is also a faculty member in the EEBB program.
Her principal research interests are in speciation and the evolution of
communication. She has studied social
communication and cooperation in bats
and signaling, speciation, and social behaviors in stickleback fish.
In this project, her expertise in the behavior of biological organisms
informs evolutionary computational approaches and the design
of behaviors in robots, which in turn will be deployed to study animal behavior.