Professor David Saad

David Saad

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General

I obtained a BA in Physics and a BSc in Electrical Engineering at the Technion, Haifa, Israel and later on an MSc in Physics (relativistic field theory) and a PhD in Electrical Engineering (neural networks) at the Tel-Aviv University. In 1992 I joined the neural networks group in the physics department at Edinburgh University first as a postdoc and later on as a lecturer, working mainly on theoretical issues. In 1995 I joined the Neural Computing Research Group at Aston as a lecturer and was promoted later on to a reader (1997) and subsequently to a professor (1999).  Between 2006-2012  I had been the Head of the Mathematics Group and again since 2015.

Research interests

  • Statistical mechanics of disordered systems
  • Advanced Inference in complex systems
  • Error Correcting Codes 
  • Multiuser communication (CDMA, broadcasting) 
  • Hard Computational Problems 
  • Computing with noise
  • Distributed resources in networks (including routing and smart grids)

Teaching Activity

Teaching on the Mathematics programmes:

  • Partial Differential Equations (currently delivered by Bill Cox)
  • Mathematical Methods
  • Probabilistic Modelling

Qualifications

  • BA in Physics (Cum Laude), Technion, Haifa, Israel, 1982
  • BSc in Electrical and Electronic Engineering, (Cum Laude), Technion, Haifa, Israel, 1982
  • MA in Physics, Tel-Aviv University, 1987
  • PhD in Engineering, Tel-Aviv University, 1992

Employment

  • 1999 – date: Professor of Information Mathematics in the School of Engineering and Applied Science, Aston University; Head of Mathematics 2006-2012.
  • 1997 – 1999: Reader in the NCRG and Department of Computer Science and Applied Mathematics, Aston University
  • 1995 – 1997: Lecturer in the NCRG and Department of Computer Science and Applied Mathematics, Aston University.
  • 1993 – 1995: Lecturer in the Physics Department, University of Edinburgh.

Membership of Professional Bodies

Fellow of the Institute of Mathematics and its Applications

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Engineering & Applied Science

Organisational unit: School

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