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D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
10118
World Ranking
6396
National Ranking
337

Overview

André van Schaik is affiliated with Western Sydney University in Australia and conducts research primarily in the fields of Engineering and Neuroscience. Their work spans multiple subfields, including Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, and Biomedical Engineering.

Their research topics focus on Advanced Memory and Neural Computing, Neural dynamics and brain function, CCD and CMOS Imaging Sensors, Ferroelectric and Negative Capacitance Devices, Neuroscience and Neural Engineering, Insect Pheromone Research and Control, and Advanced Chemical Sensor Technologies.

André van Schaik has a substantial publication record with notable recent papers including:

  • "Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks," 2022, Sensors and Actuators B Chemical
  • "Event Camera Simulator Improvements via Characterized Parameters," 2021, Frontiers in Neuroscience
  • "Advances in Machine Learning and Deep Neural Networks," 2021, Proceedings of the IEEE
  • "The neurobench framework for benchmarking neuromorphic computing algorithms and systems," 2025, Nature Communications
  • "High-speed odor sensing using miniaturized electronic nose," 2024, Science Advances

Their frequent co-authors include Saeed Afshar, Nik Dennler, Michael Schmuker, Gregory Cohen, and Shavika Rastogi, indicating active collaboration in their research endeavors.

Publication venues where André van Schaik has contributed multiple works are:

  • arXiv (Cornell University)
  • Frontiers in Neuroscience
  • IEEE Sensors Journal
  • IEEE Access
  • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences

Best Publications

  • EMNIST: Extending MNIST to handwritten letters

    Gregory Cohen;Saeed Afshar;Jonathan Tapson;Andre van Schaik

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • EMNIST: an extension of MNIST to handwritten letters

    Gregory Cohen;Saeed Afshar;Jonathan Tapson;André van Schaik

  • AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface

    V. Chan;Shih-Chii Liu;A. van Schaik

  • A new EEG recording system for passive dry electrodes

    Gaetano Gargiulo;Gaetano Gargiulo;Rafael A. Calvo;Paolo Bifulco;Mario Cesarelli

  • The role of high frequencies in speech localization.

    Virginia Best;Simon Carlile;Craig Jin;André van Schaik

  • Building blocks for electronic spiking neural networks

    Unknown

  • Asynchronous binaural spatial audition sensor with 2 × 64 × 4 channel output.

    Shih-Chii Liu;André van Schaik;Bradley A. Minch;Tobi Delbruck

  • Room acoustics simulation for multichannel microphone arrays

    Andrew Wabnitz;Nicolas Epain;Craig Jin;André van Schaik

  • A mobile EEG system with dry electrodes

    G. Gargiulo;P. Bifulco;R.A. Calvo;M. Cesarelli

  • Bias Current Generators with Wide Dynamic Range

    Tobi Delbrück;André Van Schaik

  • Event-based 64-channel binaural silicon cochlea with Q enhancement mechanisms

    Shih-Chii Liu;Andre van Schaik;Bradley A. Mincti;Tobi Delbruck

  • Improved Silicon Cochlea using Compatible Lateral Bipolar Transistors

    André van Schaik;Eric Fragnière;Eric A. Vittoz

  • Learning the pseudoinverse solution to network weights

    Unknown

  • Creating the Sydney York Morphological and Acoustic Recordings of Ears Database

    Craig T. Jin;Pierre Guillon;Nicolas Epain;Reza Zolfaghari

  • Synthesis of neural networks for spatio-temporal spike pattern recognition and processing.

    Jonathan C. Tapson;Greg K. Cohen;Saeed Afshar;Klaus M. Stiefel

  • Extending the viability of acute brain slices

    Yossi Buskila;Paul P. Breen;Jonathan Tapson;André van Schaik

  • An Active 2-D Silicon Cochlea

    Unknown

  • Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm

    Mark D McDonnell;Migel D Tissera;Tony Vladusich;Andre van Schaik

  • An FPGA implementation of a polychronous spiking neural network with delay adaptation

    Runchun Mark Wang;Gregory Cohen;Klaus M. Stiefel;Tara Julia Hamilton

  • A log-domain implementation of the Izhikevich neuron model

    Andre van Schaik;Craig Jin;Alistair McEwan;Tara Julia Hamilton

  • Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits

    Tara Julia Hamilton;Saeed Afshar;Andre van Schaik;Jonathan Tapson

  • Bias current generators with wide dynamic range

    T. Delbruck;A. van Schaik

Frequent Co-Authors

Eric A. Vittoz
Eric A. Vittoz École Polytechnique Fédérale de Lausanne
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Tobi Delbruck
Tobi Delbruck ETH Zurich
Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Giacomo Indiveri
Giacomo Indiveri University of Zurich
John W. Morley
John W. Morley Western Sydney University
Rafael A. Calvo
Rafael A. Calvo Imperial College London
Shimeng Yu
Shimeng Yu Georgia Institute of Technology
Yu Cao
Yu Cao University of Minnesota
Shih-Chii Liu
Shih-Chii Liu University of Zurich

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