Cheng-Chih Chu, Ph.D.
Dr. Cheng-Chih (Chester) Chu received his B.S. in Control
Engineering from National Chiao-Tung University in Taiwan,
M.S. in Electrical Engineering and Ph.D. in Control Science
from University of Minnesota, Minneapolis, Minnesota. He
joined the Jet Propulsion Laboratory, California Institute
of Technology in 1987 and is currently the Technical Group
Supervisor for the Simulation and Verification Group in Autonomy
and Control Section. His research interests are in the area
of robust control, control of flexible structures, feature
recognition and tracking, autonomous rendezvous, and high
performance distributed simulation technology. Dr. Chu is
a member of IEEE.
Johnny Chang (Parallel Computing,
Johnny Chang is a software engineer and a member of the
technical staff of Simulation and Verification Group at the
Jet Propulsion Laboratory. At JPL, he is currently involved
in developing high-performance distributed and parallel simulation
software supporting DST (Distributed Spacecraft Technology),
SIM (Space Interferometry Mission) and MSL (Mar Science Laboratory).
He has also worked on various JPL projects, including mission
concept study of cooperative autonomous sensor herds for
Titan exploration, LAMP (Laser Mapper) rendezvous software,
pattern light surface reconstruction, and automated C. elegans
motion tracking. He received his B.S from U.C. Berkeley in
Computer Science and Electrical Engineering in 2000, and
his M.S. in Computer Science from University of Illinois
at Urbana-Champaign in 2002.
Bryan J. Martin, Ph.D.
Dr. Martin is a Senior Staff Engineer in the Engineering
and Science Directorate, Avionic Systems and Technology Division,
Autonomy and Control Section, Simulations and Verification
group at the Jet Propulsion Laboratory. He received both
his M.S. (in 1993) and Ph.D. (in 1996) from the Department
of Mechanical and Aerospace Engineering at the University
of California at Irvine. He subsequently worked as the Principle
Engineer at Southwest Aerospace in southern California on
hardware and software related to the simulation and tracking
of autonomous air vehicles, also serving as a visiting lecturer
at UC Irvine, prior to coming to JPL. Currently, he leads
a research program in high-fidelity, distributed simulation
for formation flying, and also leads the Control Simulation
Testbed task for the Real-Time Control subsystem of the Space
Interferometry Mission. Dr. Martin's research interests include
geometric methods in mechanics, multi-body dynamics, motion
planning and optimization, and robotics.
Garett Sohl, Ph.D. (High-Fidelity
Garett Sohl received his B.S. in mechanical engineering
from Rice University in 1993. He then attended the University
of California, Irvine where he received a masters degree
(1997) and Ph.D. (2000) in mechanical and aerospace engineering.
His Ph.D. thesis, entitled " Optimal Motions for Underactuated
Manipulators", employs a Lie algebra based recursive
dynamics formulation to optimizing motions for a general
class of multi-body, branched chains. He has an extensive
background in multi-body dynamic simulation. He is currently
employed as a staff engineer at the Jet Propulsion Laboratory
where he provides simulation and modeling support for the
ROAMS rover simulation task as well as researching technologies
for formation flying simulation applications.
Scott Ploen, Ph.D (Multi-rate Integration
Dr. Scott R. Ploen is a Senior Engineer in the Guidance
and Control Analysis Group at the Jet Propulsion Laboratory.
He received his B.S. in Bioengineering (with honors) from
the Department of Applied Mechanics and Engineering Sciences
(AMES) at the University of California, San Diego in 1991.
He received both his M.S. in 1994 and Ph.D. in 1997 from
the Department of Mechanical and Aerospace Engineering at
the University of California, Irvine. Dr. Ploen's research
interests include geometric methods in mechanics, multibody
dynamics, robotics, and nonlinear geometric control theory.
He is currently a visiting lecturer at UC Irvine and is a
member of IEEE, ASME, AIAA, ASEE, and SIAM.