Erdem Özcan

Erdem Özcan
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Main area of research
Natural language & AI

Erdem Özcan is a Principal Research Scientist on the Question Answering team. His research interest is in the area of Natural Language & AI. Previously, Erdem worked as a technical lead at STMicroelectronics, where his research focused on component-based software architecture for building parallel programming models and operating systems for embedded multi-core platforms. He attended the Institut Polytechnique de Grenoble, where he received a B.Sc. in telecommunications engineering and a Ph.D. in computer science. Erdem also earned a M.Sc. in Microelectronics Design from the Université Joseph Fourier, and he has written more than five publications.

Selected articles

Supporting heterogeneous architecture descriptions in an extensible toolset

Many architecture description languages (ADLs) have been proposed to model, analyze, configure, and deploy complex software systems. To face this diversity, extensible ADLs (or ADL

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Parallel programming patterns for multi-processor SoC: application to video processing

Efficient, scalable and productive parallel programming is a major challenge for exploiting the future multi-processor SoC platforms. This article presents the MultiFlex programming environment which

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Building reconfigurable component-based OS with THINK

Dynamic reconfiguration allows modifying a system during its execution, and can be used to apply patches and updates, to implement adaptive systems, dynamic instrumentation, or

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MpAssign: a framework for solving the many-core platform mapping problem

Many-core platforms, providing large numbers of parallel execution resources, emerge as a response to the increasing computation needs of embedded applications. A major challenge raised

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A component-based approach for MPSOC SW design: experience with OS customization for h.264 decoding

Vis-a-vis the growing application complexity, embedded software developers are in search of novel design methodologies. Component-based software engineering seems to be a good candidate to

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