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The Tokyo Declaration
"Recent
advances in Systems Biology indicate that the time is now ripe to initiate a
grand challenge project to create over the next thirty years a comprehensive,
molecules-based, multi-scale, computational model of the human (‘the virtual
human’), capable of simulating and predicting, with a reasonable degree of
accuracy, the consequences of most of the perturbations that are relevant to
healthcare...
Institute of Systems Biology, Japan
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Connecting the dots: An integrated database for studying cellular dynamics
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Ph.D.
(student) Computer Science and Engineering
University of Texas at Arlington
(2005-Present)
M.S.
Computer Science and Engineering
University of Texas at Arlington
2003-2005
B.S.
Computer Software Engineering
Azad University of Tehran (Central
Branch) 1995-1998
Primary Research Area: Modeling and
Simulation of Complex Biological Systems
I am working on
establishing a platform for genome scale simulation of cell level processes
in eukaryotes using a stochastic discrete event based approach. My current
focus is on in-silico simulation of the role of insulin-switch in metabolite
substrate preference in human cardiac myocytes. For this purpose the we
identify intra-cellular sub networks pertaining to myocardial cell
activities. Subsequently we identify the activity and interactivity of such
networks in the genome scale and project them to a dynamic network of
serialized stochastic events. The evolution of the simulation will be made
possible through the popping up of the individual events from a prioritized
event queue.
Alternative
Research Area: Wireless and Optical Core Networks
As my alternative
research interest, I have worked on some of the hot topics in wireless
networks including QoS constrained scheduling and multimedia (MPEG-4)
streaming over wireless mobile networks (i.e. HDR and CDMA2000). Also I
worked on all-optical core mesh networks design and high performance
OBS based switching/scheduling in core optical networks.
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