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DR. TAD HOGG
Virtual 3D nanorobots could lead to real cancer-fighting
technology said
Adriano Cavalcanti,
Bijan Shirinzadeh,
Robert Freitas, Jr., and
Tad Hogg, representing institutions in Melbourne, Australia, and
the U.S.,
have published their simulation procedure in a recent issue of
Nanotechnology. Just as 3D simulations previously helped engineers
greatly accelerate developmental research in the semiconductor
industry, Cavalcanti and colleagues hope that virtual nanorobots,
virtual biomolecules and virtual arteries will accelerate the progress
of nanorobot development.
"The software NCD (nanorobot control design) is a system implemented to
serve as a test bed for nanorobot 3D prototyping," Cavalcanti, CEO of
the Center for Automation in Nanobiotech and researcher at Monash
University in Melbourne, told PhysOrg.com. "It is an advanced
nanomechatronics simulator that provides physical and numerical
information for nanorobot task-based modeling. Serving as a fast
development platform for medical nanorobots investigation, the NCD
simulations show how to interact and control a nanorobot inside the
body."
"One of the major factors for successfully developing nanorobots is to
bring together professionals with interdisciplinary views of science
and technologies," Cavalcanti said. "It is necessary to keep your eyes
open for chemistry, materials engineering, electronics, computing,
physics, mechanics, photonics, pharmaceutics, and medicine
technologies. Our work is advancing progressively because we have
experts from different backgrounds participating. We all pursue a
common interest in working together to build medical nanorobots."
Tad Hogg, Ph.D. is a researcher at Hewlett-Packard Labs. His research
interests include economic mechanisms such as ideas futures to improve
organizations' decision-making, experimental economics, distributed
controls for microscopic robots built from molecular electronics and
applications of quantum computing. Prior to coming to HP, he was at
Xerox PARC where his work included an early market-based distributed
computer system and robust controls for reconfigurable robots.
Tad holds a Ph.D. in physics from Stanford University and a B.S. in
physics from Caltech and has written over 100 technical articles and
book chapters on topics including human-subject experiments on
eBay-like reputation mechanisms, quantum computer-based auctions and
nanomedicine applications. He has served on the editorial boards of the
Journal of Artificial Intelligence Research,
International Journal of Modern Physics, and
Autonomous Agents and Multi-Agent Systems.
Tad authored
Coordinating Microscopic Robots in Viscous Fluids
and
Robust Self-Assembly Using Highly Designable Structures, and
coauthored
Mobile Microscopic Sensors for High-Resolution in vivo
Diagnostics,
Taking risk away from risk taking: decision insurance in
organizations,
How Well Do People Play a Quantum Prisoner's Dilemma?,
Controlling Tiny Multi-Scale Robots for Nerve Repair,
Experimental Study of Reputation Mechanisms in an Exchange
Economy,
Defect-tolerant Logic with Nanoscale Crossbar Circuits,
Assembling Nanoscale Circuits with Randomized Connections,
and
Experimental Implementation of an Adiabatic Quantum Optimization
Algorithm.
His patents include
Games using pair-wise entanglements,
Distributed control system with global constraints for controlling
object motion with smart matter,
Electronic devices fabricated by use of random connections,
Market based control of structural movement,
System and method of determining latent demand for at least one of a
plurality of commodities,
Learning systems and methods for market-based control of smart
matter,
Distributed control of non-linear coupled systems with a
single output,
Nanometer scale devices,
Reducing variation in randomized nanoscale circuit connections,
Self-reconfigurable robot,
Robust clustering of web documents,
Distribution of partitionable physical properties for market based
control of actuators and sensors,
and
Adaptive self-repairing processor array.
Watch his Google TechTalk
Laboratory Experiments with Reputation Mechanisms For Electronic
Commerce.
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