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Inhalt des Dokuments

Ahmed Elhossini, PhD


  • LPGPU: Low-Power GPU [1]
  • CompVision [2]
  • Nexus++ [3]
  • VMS [4] [5]
  • SynZEN [6]


Computer Arithmetic: Circuit Perspective [7]
WS 15/16
Applied Embedded Systems Project (AEP) [8]
SS 2015
Computer Arithmetic: Circuit Perspective [9]
WS 14/15
Applied Embedded Systems Project (AEP) [10]
SS 2014
Computer Arithmetic: Circuit Perspective [11]
WS 13/14
Advanced Computer Architectures [12]
WS 13/14
Computer Arithmetic: Circuit Perspective [13]
SS 2013
Applied Embedded Systems Project (AEP) [14]
WS 12/13


<< zurück [15]

Matthias Göbel and Ilja Behnke and Ahmed Elhossini and Ben Juurlink (2018). An Application-Specific Memory Management Unit for FPGA-SoCs [20]. Proceedings of the 25th Reconfigurable Architectures Workshop (RAW 2018) at the 32nd IEEE International Parallel & Distributed Processing Symposium (IEEE IPDPS 2018). Nominee for Best Short Paper Award.

<< zurück [21]


Lupe [23]

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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