Professor David Saad

David Saad

Phone number
+44(0)121 204 3648 (direct dial in)


Room number

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 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 Aston as a lecturer and was promoted later on to a reader (1997) and subsequently to a Professor of Information Mathematics (1999).  Between 2006-2012  I had been the Head of the Mathematics Group and took the role again in 2015.

Qualifications & Education

  • 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


  • 1999 – date: Professor of Information Mathematics in the School of Engineering and Applied Science, Aston University; Head of Mathematics 2006-2012 and again since 2015.
  • 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.


Teaching activity

Teaching on the Mathematics programmes:

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

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)

Recent research funding
I held 7 EPSRC grants as well as grants from the Leverhulme Trust (4), EU (4), Royal Society (2) and British Council (2).

Current grants:

Probabilistic control and relay switching in Smart-Grids, Industrial CASE Studentship, EPSRC, with ALSTOM Grid UK £89,924.

Islands of Equilibrium in a Non-equilibrium World, Leverhulme Trust (RPG-2013-48) £155,624.

PhD Supervision
I have supervised about 10 PhD students and 13 MSc students. Current student: Elizabeth Harrison.

Membership of Professional Bodies
Fellow of the Institute of Mathematics and its Applications

Key publications 

See a full list of publications at the AURA archive.

D. Saad (editor), On-Line Learning in Neural Networks, Publications of the Newton Institute, Cambridge University Press, (1998).

M. Opper and D. Saad (editors), Advanced Mean Field Methods - Theory and Practice, MIT press,

Selected Journal Papers:

D. Saad and S.A. Solla, “Exact Solution for On-Line Learning in Multilayer Neural Networks”, Phys. Rev. Lett., 74, 4337-4340, (1995).

D. Saad and M. Rattray, “Globally Optimal Parameters for On-line Learning in Mul­tilayer Networks”, Phys. Rev. Lett., 79, 2578-2581, (1997).

M. Rattray, D. Saad and S. Amari, “Natural Gradient Descent for On-line Learning”, Phys. Rev. Lett., 81, 5461-5464, (1998).

Y. Kabashima and D. Saad, “Belief Propagation vs. TAP for Decoding Corrupted Messages”, Europhys. Lett., 44, 668-674, (1998).

Y. Kabashima and D. Saad, “Statistical Mechanics of Error-Correcting Codes”, Euro­phys. Lett., 45, 97-103, (1999).

I. Kanter and D. Saad, “Error-Correcting Codes That Nearly Saturate Shannon’s Bound”, Phys. Rev. Lett. 83, 2660-2663, (1999).

Y. Kabashima, T. Murayama and D. Saad, "Typical Performance of Gallager-type Error-Correcting Codes'',   Phys. Rev. Lett.   84, 1355-1358, (2000).

Y. Kabashima, T. Murayama and D. Saad, "Cryptographical Properties of Ising Spin Systems'',    Phys. Rev. Lett.   84, 2030-2033, (2000).

R. Vicente, D. Saad and Y. Kabashima, "Error-correcting Code on a Cactus: a Solvable Model'',   Europhys. Lett. ,   51, 698-704, (2000).

A.C.C. Coolen, D. Saad and Y. Xiong, "On-line Learning from Restricted Training Sets in Multilayer Neural Networks'', Europhys. Lett. ,  51, 691-697, (2000).

Y. Kabashima and D. Saad, "Statistical Mechanics of Low-Density Parity Check Codes'', Jour. Phys. A (invited paper), 37, R1-R43, (2004).

J.P. Neirotti and D. Saad, "Improved Message Passing for Inference in Densely Connected Systems'',   Europhys. Lett. 71, 866-872, (2005).

K.Y.M. Wong and D. Saad, "Inference and Optimization of Real Edges on Sparse Graphs - a Statistical Physics Perspective'', Phys. Rev. E, 76, 011115 (2007).

A. Mozeika, D. Saad and J. Raymond, "Computing with Noise - Phase Transitions in Boolean Formulas'',  Phys. Rev. Lett. 103, 248701 (2009).

J. Reichardt, R. Alamino and D. Saad,“The Interplay Between Individual Properties and Group Structure in Complex Networks”, PLoS ONE, 6(8): e21282 (2011).

A. Mozeika and D. Saad, “Dynamics of Boolean Networks -an Exact Solution”, Phys. Rev. Lett. 106, 214101 (2011).

C. H. Yeung and D. Saad, “The Competition for Shortest Paths on Sparse Graphs”, Phys. Rev. Lett. 108 , 208701 (2012).

C. H. Yeung, D. Saad and K. Y. M. Wong, “From the Physics of Interacting Polymers to Optimizing Routes on the London Underground”, Proceedings of the National Academy of Sciences, 110, 13717-13722, (2013).

C. H. Yeung, D. Saad, “Networking - A Statistical Physics Perspective”, Jour. Phys. A 46, 103001 (2013).

A. Mozeika and D. Saad, “Growing Boolean Functions in the Presence of Noise”, IEEE Transactions on Information Theory, 61, 637-644 (2015).