Brad Clement is a senior member of the Artificial Intelligence
Group at the Jet Propulsion Laboratory in Pasadena, CA, where he
is developing methods for coordinating planning and scheduling for
single and multiple spacecraft/missions.  He leads projects on
distributed continual planning applied to simulated spacecraft and
rovers for Mars, on scheduling resource allocation for the Deep
Space Network, and on planning under uncertainty.  He received a
NASA Space Act Award for work on obtaining exponential speedups in
using abstraction in planning and scheduling applied to a rover
team. He received a Ph.D. degree in computer science and
engineering from the University of Michigan, Ann Arbor. His
research interests include planning and execution, multiagent
coordination, distributed systems, and AI in games.

Background in the tutorial area:
Has published a dissertation and several conference papers on
coordinating planning systems.  He leads projects on distributed
continual planning applied to simulated spacecraft and rovers for
Mars, on scheduling resource allocation for the Deep Space
Network, and on planning under uncertainty.  He received a NASA
Space Act Award for work on using abstraction in planning and
scheduling applied to a rover team.

Evidence of teaching experience:
   Tutorial on "Multiagent Planning: a Survey of Research and 
Applications."
     Bradley J. Clement, Keith Decker
     - IJCAI 2005
     - AAAI 2005 (2nd most attended out of 16)
     - AAMAS 2005
   PRIMA 2004 Agent School tutorial on "Multiagent planning":
     https://www.cs.auckland.ac.nz/prima04/school.php
     
http://ai.jpl.nasa.gov/public/home/bclement/papers/ma_planning_clement
.html

   Guest lecture on "AI and Space Exploration" for
     Advanced Topics in AI class, U. Southern California, Feb. 2002
   Teaching assistant for Discrete Structures class, U. Michigan  
Publications & presentations:
   http://ai.jpl.nasa.gov/public/home/bclement