The
information-technology platform is being radically transformed as we speak. A
new generation of applications is emerging that are destined to run in distributed
form on a platform that meshes high-performance compute clusters with
broad classes of mobiles, surrounded in turn by even larger swarms of sensors.
The broad majority of these newapplications
can be classified as distributed sense and control systems that go
substantially beyond the "compute" or "communicate"
functions traditionally associated with information-technology. They have the
potential to radically influence how we deal with a broad range of crucial
problems facing our society today: power delivery in emerging micro-grids,
emergency response to natural and man-made disasters, wireless healthcare with
individualized monitoring, national infrastructural monitoring and adaptation,
detection of anomalous events and behaviors in physical or cyberspace for
security, or real-time situational awareness on the battlefield, etc. In fact,
the opportunities are limited only by our imagination.
The grand
goal of the Multiscale Systems Center is to create a comprehensive and
systematic solution to the distributed multi-scale system design challenge.
While addressing the full portfolio of needs, we have specifically selected as
grand challenge the development of "energy-smart" distributed
systems: that is, distributed systems that are deeply aware of the balance
between energy availability and demand, and adjust their behavior in response
through dynamic and adaptive optimization through all scales of the design
hierarchy.
Prof. Jose Carmena awarded NY Academy of Science 1st Aspen Brain Forum Prize in Neurotechnology
Jose Carmena has been awarded the New York Academy of Sciences first Aspen Brain Forum Prize in Neurotechnology. Recipients of this prize are recognized for their work that has broad application and impact in translating basic research into effective therapeutics within the area of neural prosthetics. Professor Carmena’s research interests span across systems neuroscience and neural engineering. He studies the neural basis of sensorimotor learning and control; neural ensemble computation as well as brain-machine interfaces, neuroprosthetics, and biomimetic robotics.