Past and upcoming colloquiums are posted at
http://eecs.oregonstate.edu/graduate/colloquium/.

Wednesday
May 11
10:00 - 10:50 AM 
Owen 102 
 
Yasamin Mostofi 
Postdoctoral Scholar
Electrical Engineering
California Institute of Technology


New Design Theories for Delay-Sensitive Mobile Sensor Networks 

Abundance of cheap embedded sensors equipped with processing,
communication & actuation capabilities has created considerable interest
in sensor network applications. In order to solve the fundamental
problems underlying these systems, multi-disciplinary approaches are
required that can integrate between different fields such as sensing,
communication, estimation and control. In this talk we develop new
theoretical foundations for mobile sensor networks running real-time
applications with the aim of integrating communication and
estimation/control. On the communication side, we will show that the
communication protocols and designs suitable for other already-existing
applications like data networks may not be entirely applicable for
estimation and control of a rapidly changing dynamical system. Then we
develop new design theories to improve the performance and stability of
these systems. For instance, we examine the role of a cross-layer
feedback and will see how the optimum design should provide a balance
between information loss and communication noise in the absence of such
a feedback. On the control side, we will consider decentralized control
of sensor trajectories. There we provide new design strategies that
would consider the trade-offs between sensing and communication.


Biography

Yasamin Mostofi is a postdoctoral scholar in the department of
Electrical Engineering at California Institute of Technology. She
received her Bachelor in Electrical Engineering from Sharif University
of Technology in 1997. She then received her MS and PhD in Electrical
Engineering from Stanford University in 1999 and 2003. Her research
areas of interest include sensor networks, communications and control
and dynamical systems.
 

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Wednesday
May 11
4:00 - 4:50 PM 
Covell 216
 
Distinguished Speaker
John P. Hayes 
Claude E. Shannon Professor
Engineering Science
University of Michigan


Quantum Circuits: A New Way to Compute 

Quantum computation is a recent approach to information processing which
is based on quantum mechanics rather than classical physics. Information
is represented by quantum bits (qubits) which correspond to quantum
states such as photon polarization. Because of the superposition
property of these states, n qubits can store up to 2n binary words
simultaneously, suggesting a type of massive parallelism. Quantum states
also allow powerful forms of interaction such as interference and
entanglement, which have no counterparts in classical (non-quantum)
computation. Quantum computers can solve a few important and hitherto
intractable problems such as prime factorization of large numbers. Novel
forms of highly secure communication are also possible. In practice,
however, quantum computing devices and circuits are extremely difficult
to construct, since they are nanoscale in size and operate at extremely
low energy levels. Consequently, they have many more failure modes than
classical circuits For example, quantum signal states are inherently
unstable and tend to decay rapidly due to interaction with the
environment (decoherence). Quantum gate operations are defined by
continuous parameters that allow small errors to arise and propagate to
other gates. Furthermore, state measurement is probabilistic and the
measurement process itself affects the state being measured. This talk
will review the history and development of quantum circuits, with
emphasis on their relation to classical computer circuits and their
fault-tolerance requirements.


Biography

John P. Hayes is the Claude E. Shannon Professor of Engineering Science
at the University of Michigan, where he teaches and conducts research in
the areas of VLSI CAD, fault tolerance, mobile embedded systems, and
quantum computing. He received the B.E. degree from the National
University of Ireland, and the M.S. and Ph.D. degrees from the
University of Illinois. At Illinois he participated in the design of the
ILLIAC III computer. He spent ten years with the University of Southern
California, before moving to the University of Michigan. Hayes was the
founding director of Michigan's Advanced Computer Architecture
Laboratory (ACAL). He is the author of numerous technical papers,
several patents, and five books, including Computer Architecture and
Organization, (3rd ed., McGraw-Hill, 1998). Hayes is a Fellow of IEEE
and ACM. He received the University of Michigan's Distinguished Faculty
Achievement Award in 1999 and the Humboldt Foundation's Research Award
in 2004.
 

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