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TU Berlin

Inhalt des Dokuments

Ahmed Elhossini

Research Interest:

 

  • Computer architecture: Single core/multi-core systems

  • Design and implementation of embedded systems

  • Embedded Computer Vision Systems

  • Deep-learning and Convolutional Neural Networks

  • Reconfigurable architectures

  • Embedded System Design and Embedded Software.

  • Digital Signal processing

  • Low power design of digital systems

  • Multi-objective optimization

  • Modelling and Simulation

  • High speed computation

  • Memory architectures for embedded systems

  • Approximate computation 

 

 

Publications

A Trace-based Workflow for Evaluating Application-specific Memory Bandwidth for FPGA-SoCs
Citation key Goebel2016:traceworkflow
Author Matthias Göbel and Ahmed Elhossini and Ben Juurlink
Title of Book Proceedings of the 12th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES 2016)
Year 2016
Link to publication Download Bibtex entry

Biography

Lupe

Ahmed Elhossini received the MSc Degree in Computer Engineering, in 2005 from Al-Azhar University, Cairo, Egypt. Then he moved to Canada for the PhD degree which he completed in 2009 in Computer Engineering from the University of Guelph, Guelph, Ontario, Canada. From 2009 until 2010 he worked as post-doctoral researcher at The Robotics Institute, school of Engineering, University of Guelph, in which he conducted research regarding porting vision algorithms into reconfigurable architectures. In 2011 he moved to Egypt as an assistant Professor at the Faculty of Engineering, Al Azhar University, Cairo, Egypt, where he was teaching and conducting research related to computer architecture and reconfigurable architectures. He also worked as a consultant for the Egyptian Space Agency from 2011 to 2012. Ahmed Elhossini is currently a Postdoctoral researcher at the Embedded Systems Architecture group at TU-Berlin. His research focus is embedded systems, optimization of embedded systems and porting computer vision algorithms into embedded hardware. He has co-authored several publications in the area of reconfigurable computing, embedded computer vision, and optimization techniques.

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