Professor Sergey Saveliev

  • Associate Dean (Research and Innovation)
  • Professor of Theoretical Physics
  • IOP and APS Fellow

In April 2006 I joined Loughborough University as a lecturer and was later promoted first to a Reader in December 2006 and then to a Professor of Theoretical Physics.In Aug 2015, I became the Head of the Department of Physics. In August 2017, I was promoted to the Associate Dean Research at the School of Science, comprising of five departments: Physics, Chemistry, Computer Science, Mathematical Sciences, and Mathematics Education. Recently, I was promoted to the Associate Dean Research and Innovation at the School of Science, and became the Academic Lead in cross-school pilot initiative in AI and Cognitive Technologies.


  • 1996 PhD from the Theoretical Physics Department, Moscow Engineering Physics Institute, Russia


  • 1995: Research scientist at All-Russian Electrical Engineering Institute, Russia
  • 1999: Research Fellow at Institute of Materials Science, University of Tsukuba, Japan
  • 2002: Senior Researcher at The Institute of Physical and Chemical Research (RIKEN), Japan
  • 2006: Lecturer/Reader/Professor at Physics Department, Loughborough University, UK
  • 2015-2017: Head of Physics Department
  • 2017-2022: Associate Dean Research at the School of Science
  • 2022-present: Associate Dean Research and Innovation at the School of Science
  • 2022-present: Academic lead of cross-school pilot initiative in AI and Cognitive Technologies


  • MEXT Young Scientist Prize, Japan, 2008
  • Friedrich Wilhelm Bessel Research Award, Germany, 2009
  • IOP Fellow, 2011
  • ASP Fellow, 2012

Main research directions

  • Neuromorphic memristive devices and brain emulators
  • Neuroscience and cognitive technologies
  • Complex networks and rapid decision making under risk
  • Quantum Computing
  • Terahertz superconducting and semiconducting electronics
  • Biologically inspired nanodevidence
  • Graphene


  • IOP fellow
  • APS fellow
  • EPSRC college member


  • Marie Curie Fellowship (coordinator), 2012-2014
  • Leverhulme Research Fellowship (PI), 2013–2014
  • Templeton foundation grant, 2011-2013
  • Advanced EPSRC Research Fellowship (PI), 2006-2011
  • Semiconducting and Superconducting Nano-Devices to control Terahertz Radiation (EPSRC), 2007 – 2010
  • Enterprise Projects Group grant on “Concept Collaboration – Implementation of LU’s ultra-sensitive high-temperature SQUID array sensor technology into CTF MEG’s brain imaging devices” (Co-I) funded by the HEFCE Higher Education Innovation Fund (2018)
  • £1M EPSRC grant “Neuromorphic memristive circuits to simulate inhibitory and excitatory dynamics of neuron networks: from physiological similarities to deep learning” (PI), 2020-20203
  • EU commission grant “Highly sensitive detection of single microwave photons with coherent quantum network of superconducting qubits for searching galactic axions” (Co-I), 2020-2023

PhD students (completed)

  • Richard Wilson
  • Zoe Washington
  • Alex Wall-Clarke
  • Russell Glavey
  • Shahd Alfadhli
  • Jonathan Cox
  • Luke De Clerk
  • Associate Dean Research and Innovation
  • Academic Lead in AI and Cognitive Technologies
  • Member of Senate (Aug 2015- Aug 2019)
  • Member of Council (Aug 2016 - Aug 2019)

Selected publications

  • S. Savel'ev, F. Nori, Experimentally realizable devices for controlling the motion of magnetic flux quanta in anisotropic superconductors, Nature Materials 1, 179 (2002)
  • J.E. Villegas, S. Savel'ev, F. Nori, E.M. Gonzalez, J.V. Anguita, R. Garcia, J.L. Vicent, Superconducting reversible rectifier that controls the motion of magnetic flux quanta, Science 302, 1188 (2003)
  • D. Cole, S. Bending, S. Savel’ev, A. Grigorenko , T. Tamegai, F. Nori, Ratchet without spatial asymmetry for Controlling the motion of magnetic flux quanta using time-asymmetric drives, Nature Materials 5, 305–311 (2006)
  • S. Savel'ev, A.L. Rakhmanov, V.A. Yampol'skii, and F. Nori, Analogues of nonlinear optics using terahertz Josephson plasma waves in layered superconductors, Nature Physics 2, 521-525 (2006)
  • W. Yi, S.E. Savel'ev, G. Medeiros-Ribeiro, F. Miao, M.-X. Zhang, J.J. Yang, A.M. Bratkovsky, R.S. Williams, Quantized Conductance coincides with State Instability and Excess Noise in Tantalum Oxide Memristors, Nature Communications 7, 11142 (2016)
  • Z. Wang, S. Joshi, S. Savel'ev, H. Jiang, R. Midya, P. Lin, M. Hu, N. Ge, J.P. Strachan, Z. Li, Q. Wu, M, Barnell, G.-L. Li, H. Xin, R.S. Williams, Q. Xia, and J. Yang, Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing, Nature Materials 16, 101 (2017)
  • R. Midya, Z. Wang, J. Zhang, S.E. Savel’ev, C. Li, M. Rao, M.H. Jang, S. Joshi, H. Jiang, P. Lin, K. Norris, N. Ge, Q. Wu, M. Barnell, Z. Li, H. L. Xin, R.S. Williams, Q. Xia, J.J. Yang, Anatomy of Ag/Hafnia-Based Selectors with 1010 Nonlinearity, Advanced Materials 29, 1604457 (2017)
  • H. Jiang, D. Belkin, S. Savel'ev, S. Lin, Z. Wang, Y. Li, S. Joshi, R. Midya, C. Li, M. Rao, M. Barnell, Q. Wu, J.J. Yang, Q. Xia, A novel true random number generator based on a stochastic diffusive memristor, Nature Communications 8, 882 (2017).
  • Z. Wang, S. Joshi, S. Savel’ev, W. Song, R. Midya, Y. Li, M. Rao, P. Yan, S. Asapu, Y. Zhuo, H. Jiang, P. Lin, C. Li, J. H. Yoon, N. K. Upadhyay, J. Zhang, M. Hu, J. P. Strachan, M. Barnell, Q. Wu, H. Wu, R. S. Williams, Q. Xia, J. J. Yang, Fully memristive neural networks for pattern classification with unsupervised learning, Nature Electronics 1, 137–145 (2018).
  • A.S. Pawar, S. Gepshtein, S. Savel’ev, T.D. Albright, Mechanisms of spatiotemporal selectivity in cortical area MT, Neuron 101, 514 (2019).
  • S. Gepshtein, A. Pawar, S. Kwon, S. Savel’ev, T.D. Albright, Spatially distributed computation in cortical circuits, Science Advances 8, abl5865 (2022)