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Computer Science
Australia
2023

D-Index & Metrics

Computer Science

D-Index
50
Citations
9867
World Ranking
5630
National Ranking
171

Research.com Recognitions

  • 2023 - Research.com Computer Science in Australia Leader Award

Overview

Conrad Sanderson is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia and primarily conducts research in the field of Computer Science. Their work spans several subfields, notably Artificial Intelligence, Computer Vision and Pattern Recognition, Global and Planetary Change, Aerospace Engineering, and Safety Research.

The scientist's research interests focus on topics including Ethics and Social Impacts of AI, Adversarial Robustness in Machine Learning, Artificial Intelligence in Healthcare and Education, Fire Effects on Ecosystems, Meteorological Phenomena and Simulations, Parallel Computing and Optimization Techniques, and Robotics and Sensor-Based Localization.

Conrad Sanderson has published in a variety of scientific venues, with frequent contributions appearing in:

  • arXiv (Cornell University)
  • Technology in Society
  • Remote Sensing
  • The Journal of Open Source Software
  • Proceedings of the International Symposium on Combinatorial Search

Recent notable publications include:

  • "Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021" (2023, Technology in Society)
  • "UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments" (2020, Remote Sensing)
  • "AI Ethics Principles in Practice: Perspectives of Designers and Developers" (2023, IEEE Transactions on Technology and Society)
  • "Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty" (2021, Remote Sensing)
  • "Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires" (2023, Spatial Statistics)

The scientist frequently collaborates with other researchers, with co-authors including Stefan Hajkowicz, Petra Kuhnert, Emma Schleiger, Jon Whittle, and Joel Janek Dabrowski.

Best Publications

  • Armadillo: a template-based C++ library for linear algebra

    Conrad Sanderson;Ryan R. Curtin

  • RcppArmadillo: Accelerating R with high-performance C++ linear algebra

    Dirk Eddelbuettel;Conrad Sanderson

  • Armadillo: An Open Source C++ Linear Algebra Library for Fast Prototyping and Computationally Intensive Experiments

    Conrad Sanderson

  • Shadow detection: A survey and comparative evaluation of recent methods

    Andres Sanin;Conrad Sanderson;Brian C. Lovell

  • Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition

    Yongkang Wong;Shaokang Chen;Sandra Mau;Conrad Sanderson

  • Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference

    Conrad Sanderson;Brian C. Lovell

  • Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching

    Mehrtash T. Harandi;Conrad Sanderson;Sareh Shirazi;Brian C. Lovell

  • Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture

    Vikas Reddy;Conrad Sanderson;Brian C. Lovell

  • Sparse coding and dictionary learning for symmetric positive definite matrices: a kernel approach

    Mehrtash T. Harandi;Conrad Sanderson;Richard Hartley;Brian C. Lovell

  • Identity verification using speech and face information

    Conrad Sanderson;Conrad Sanderson;Kuldip Kumar Paliwal

  • Fast features for face authentication under illumination direction changes

    Conrad Sanderson;Kuldip K. Paliwal

  • Spatio-temporal covariance descriptors for action and gesture recognition

    A. Sanin;C. Sanderson;M. T. Harandi;B. C. Lovell

  • Information Fusion and Person Verification Using Speech & Face Information

    Conrad Sanderson;Kuldip K. Paliwal

  • Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation

    Conrad Sanderson;Simon Guenter

  • Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios

    Andres Sanin;Conrad Sanderson;Brian C. Lovell

  • Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

    Mehrtash Harandi;Conrad Sanderson;Chunhua Shen;Brian Lovell

  • User authentication via adapted statistical models of face images

    F. Cardinaux;C. Sanderson;S. Bengio

  • Face authentication test on the BANCA database

    K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

  • Comparison of MLP and GMM classifiers for face verification on XM2VTS

    Fabien Cardinaux;Conrad Sanderson;Sébastien Marcel

  • Biometric Person Recognition: Face, Speech and Fusion

    Conrad Sanderson

Frequent Co-Authors

Brian C. Lovell
Brian C. Lovell University of Queensland
Mehrtash Harandi
Mehrtash Harandi Monash University
Kuldip K. Paliwal
Kuldip K. Paliwal Griffith University
Samy Bengio
Samy Bengio Apple (United States)
Peter Corke
Peter Corke Queensland University of Technology
Sébastien Marcel
Sébastien Marcel Idiap Research Institute
Richard Hartley
Richard Hartley Australian National University
Abdul Sattar
Abdul Sattar Griffith University
Chunhua Shen
Chunhua Shen Zhejiang University
Josef Kittler
Josef Kittler University of Surrey

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