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Research.com Recognitions

  • 2001 - Fellow of the Royal Society of Edinburgh

Overview

Alan F. Murray is affiliated with the University of Edinburgh in the United Kingdom. Their research focuses primarily on engineering, with a particular emphasis on electrical and electronic engineering, bioengineering, and biomedical engineering. Additional areas of study include molecular biology and polymers and plastics.

Their work covers a range of topics, notably:

  • Analytical Chemistry and Sensors
  • Fuel Cells and Related Materials
  • Conducting Polymers and Applications
  • ATP Synthase and ATPases Research
  • Enzyme Function and Inhibition
  • Cancer, Hypoxia, and Metabolism
  • Cardiac, Anesthesia and Surgical Outcomes

Frequent coauthors collaborating with Murray include:

  • Jamie R. K. Marland
  • Mark Gray
  • David J. Argyle
  • Camelia Dunare
  • Ewen O. Blair

Murray has published in a variety of venues such as:

  • Exploration of Targeted Anti-tumor Therapy
  • Journal of Personalized Medicine
  • Sensing and Bio-Sensing Research
  • Biosensors and Bioelectronics
  • Journal of Microelectromechanical Systems

Representative recent papers include:

  • The impact of tumour pH on cancer progression: strategies for clinical intervention (2020), published in Exploration of Targeted Anti-tumor Therapy
  • Predictive and Diagnostic Biomarkers of Anastomotic Leakage: A Precision Medicine Approach for Colorectal Cancer Patients (2021), published in Journal of Personalized Medicine
  • Real-time measurement of tumour hypoxia using an implantable microfabricated oxygen sensor (2020), published in Sensing and Bio-Sensing Research
  • In vivo application of an implantable tri-anchored methylene blue-based electrochemical pH sensor (2021), published in Biosensors and Bioelectronics
  • Optimization of Nafion Polymer Electrolyte Membrane Design and Microfabrication (2020), published in IEEE Transactions on Semiconductor Manufacturing

Alan F. Murray was recognized as a Fellow of the Royal Society of Edinburgh in 2001.

Best Publications

  • Pulse-stream VLSI neural networks mixing analog and digital techniques

    A.F. Murray;D. Del Corso;L. Tarassenko

  • Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training

    A.F. Murray;P.J. Edwards

  • Confidence estimation methods for neural networks: a practical comparison

    G. Papadopoulos;P.J. Edwards;A.F. Murray

  • Continuous restricted Boltzmann machine with an implementable training algorithm

    H. Chen;A.F. Murray

  • Asynchronous VLSI neural networks using pulse-stream arithmetic

    Alan F. Murray;Anthony V. Smith

  • Synchrony detection and amplification by silicon neurons with STDP synapses

    A. Bofill-i-Petit;A.F. Murray

  • Integrated pulse stream neural networks: results, issues, and pointers

    A. Hamilton;A.F. Murray;D.J. Baxter;S. Churcher

  • Synaptic Rewiring for Topographic Map Formation

    Simeon A. Bamford;Alan F. Murray;David J. Willshaw

  • Miniature transmitter for implantable micro systems

    M. Ahmadian;B.W. Flynn;A.F. Murray;D.R.S. Cumming

  • Implantable biosensors and their contribution to the future of precision medicine.

    M Gray;J Meehan;C Ward;Simon P Langdon

  • Pulse arithmetic in VLSI neural networks

    A.F. Murray

  • Synaptic weight noise during multilayer perceptron training: fault tolerance and training improvements

    A.F. Murray;P.J. Edwards

  • Toward a miniature wireless integrated multisensor microsystem for industrial and biomedical applications

    Tong Boon Tang;E.A. Johannessen;Lei Wang;A. Astaras

  • Development of a miniaturised drug delivery system with wireless power transfer and communication

    S. Smith;T.B. Tang;J.G. Terry;J.T.M. Stevenson

  • Analogue Neural Vlsi: A Pulse Stream Approach

    Alan F. Murray;Lionel Tarassenko

  • Design and implementation considerations for an advanced wireless interface in miniaturized integrated sensor microsystems

    N. Aydin;A. Astaras;L. Wang;T. Arslan

  • 26th Annual International Conference of the IEEE EMBS

    L. Wang;P. A. Hammond;E. A. Johannessen;Tong Tang

  • Asynchronous arithmetic for VLSI neural systems

    A.F. Murray;A.V.W. Smith

  • Design of analogue synapse circuits using non-volatile a-Si:H memory devices

    A.J. Holmes;S. Churcher;J. Hajto;A.F. Murray

  • IEEE International Joint Conference on Neural Networks

    L. N. Patel;Alan Murray;John Hallam

Frequent Co-Authors

Lionel Tarassenko
Lionel Tarassenko University of Oxford
David R. S. Cumming
David R. S. Cumming University of Glasgow
Anthony J. Walton
Anthony J. Walton University of Edinburgh
Jonathan M. Cooper
Jonathan M. Cooper University of Glasgow
Liying Wang
Liying Wang National Institute for Occupational Safety and Health
Asen Asenov
Asen Asenov University of Glasgow
Robert Henderson
Robert Henderson University of Edinburgh
Simon P. Langdon
Simon P. Langdon University of Edinburgh
Gareth Leng
Gareth Leng University of Edinburgh
Edoardo Charbon
Edoardo Charbon École Polytechnique Fédérale de Lausanne

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