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Institute Affiliation:
Contact Information:
Phone:
858-534-4868
Email:
tajana@cs.ucsd.edu
Personal Home Page
Research Page
| | Tajana Rosing - Assistant Professor
Embedded system design, resource management at the system level, hardware management and embedded
software optimization, power management algorithms.
Professor Simunic Rosing is an expert on optimizing the battery life, communication, and storage of
portable electronics devices such as PDAs, cell phones, and laptops as well as sensors and other embedded
systems. In addition, she has recently demonstrated large improvements in energy consumption and reliability
of systems on a chip by performing joint optimization of power and topology design. At Hewlett-Packard Labs
in Palo Alto, CA, from 1998 to 2004, Simunic Rosing led a team of researchers focused on low-power wireless
media and embedded systems. She filed five patents last year alone on technologies ranging from wireless
resource management in heterogeneous networks, to optimization of power consumption in I/O of embedded devices.
Simunic Rosing has devised algorithms that reduce the power consumption of small, portable, and inexpensive
computing systems through the integration of intelligent hardware, software and wireless system design. For
example, she demonstrated that large energy savings can be achieved by intelligent management of delivery of
streaming video data to mobile nodes. After each burst of data is received, a power-hungry wireless cards can
be switched to sleep mode while compressed data are being decoded. She wrote a chapter titled "Dynamic
Management of Power Consumption" in Power Aware Computing, a book describing the trend towards embedded systems
and systems-on-a-chip computing, in which power management has emerged as a focal point. Simunic Rosing is a
leading researcher in the area of using information present in wireless systems to achieve more efficient system
operation. For example, since a smart wireless server has access to information about a wireless device's
characteristics and client needs in its environment, the server can schedule according to rules that maximize
quality of service while minimizing power consumption. Simunic Rosing's server-level scheduling algorithm has
demonstrated a significant increase in the number of clients supportable by a given server, with large power
savings for each client.
Capsule Bio:
Tajana Simunic-Rosing joined the Jacobs School faculty in 2005 after earning a M.S. in engineering
management and a Ph.D. in electrical engineering from Stanford University. She worked for Hewlett-Packard
Labs in Palo Alto, CA. from 1998 to 2004, and delivered invited talks at UC Berkeley, MIT, University of
Washington, Georgia Tech, UC Irvine, Intel, Microsoft, and IBM. Currently, she is an associate editor for
IEEE Transactions on Circuits and Systems, and she has been involved in leadership of conferences such as
DATE, DAC, and ICCAD.
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