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 Arash Ostadzadeh is a PhD student
in Computer Science and
Engineering, Department of Software
and Computer Technology, faculty of Electrical Engineering, Mathematics and
Computer Science (EEMCS), Delft University of Technology (TU
Delft), Delft, The Netherlands.
He has got BSc and MSc in Computer Engineering (software) at Computer Engineering
Department of Ferdowsi University of Mashhad in 1998
and 2001, respectively.
He is a
member of the Delft Workbench (DWB) research group working under
supervision of dr. Koen Bertels. During the past years,
he was mainly involved in the EU-IST FWP6 hArtes (holistic Approach to reconfigurable
real time embedded systems)
project, which aimed to lay the foundation for a new holistic
(end-to-end) approach for complex real-time embedded system design, with
the latest algorithm exploration tools and reconfigurable hardware
technologies. He is currently involved in the SMECY
(Smart Multicore Embedded Systems) project, which envisions developing
programming and design methods, multicore architectural solutions and
associated supporting tools to enable the exploitation of manycore
architectures. He is also a contributor to the EU-ICT FWP7 REFLECT
and the iFEST projects.
His
research interests include parallel
and distributed computing, in particular, parallel algorithm and
data structure design and analysis, application profiling , analysis and
performance evaluation, dynamic binary instrumentation, heterogeneous
multicore application development and tuning, parallel programming,
application optimization for reconfigurable systems, software/hardware
co-design, automatic parallelization, pattern recognition, image
processing, and software architecture. Currently, he is primarily
involved in developing a dynamic profiling framework which focuses on
providing quantitative analysis of memory access patterns of an
application. More information can be found in QUAD.
He is
also a faculty member and lecturer at Islamic Azad University of Mashhad
(IAUM), Mashhad, Iran. Click here to link to his home page at
IAUM.
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