[Recruitment]
Associate/Assistant Professor in Artificial Intelligence for Space-Enabled Technologies, Durham University

We are looking for applicants in Artificial Intelligence, Computer Vision, Edge Computing, Digital Twins, Human Computer Interaction, User Modelling, Robotics or Resilient Computing with potentials/achievements in informing space applications.

The post hoder will enjoy 1) a permanent (equivalent to US tenured) position at a top 100 university, 2) significantly reduced teaching, 3) a fully-funded PhD, 4) travel budget, 5) chance for a 2-year fully-funded Post-Doc.


Postgraduate Research Scholarship

Postgraduate Research Scholarship
Funding Source: Faculty of Engineering and Environment, Northumbria University, UK
Reference Number:
Value: £65,000
2018 - 2021

About the Project

People

Organizations

    YouTube

    Publications

    RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
    RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis  Impact Factor: 8.5 Top 25% Journal in Computer Science, Artificial Intelligence# Citation: 10#
    Expert Systems with Applications (ESWA), 2022
    Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye and Wai Lok Woo
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    UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
    UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-Identification in Video Imagery
    Proceedings of the 2022 International Conference on Computer Vision Theory and Applications (VISAPP), 2022
    Daniel Organisciak, Matthew Poyser, Aishah Alsehaim, Shanfeng Hu, Brian K. S. Isaac-Medina, Toby P. Breckon and Hubert P. H. Shum
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    Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
    Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark  H5-Index: 66# Citation: 49#
    Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
    Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
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    Unifying Person and Vehicle Re-Identification
    Unifying Person and Vehicle Re-Identification  Impact Factor: 3.9
    IEEE Access, 2020
    Daniel Organisciak, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
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    Makeup Style Transfer on Low-Quality Images with Weighted Multi-Scale Attention
    Makeup Style Transfer on Low-Quality Images with Weighted Multi-Scale Attention  H5-Index: 58# Citation: 10#
    Proceedings of the 2020 International Conference on Pattern Recognition (ICPR), 2020
    Daniel Organisciak, Edmond S. L. Ho and Hubert P. H. Shum
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    Triplet Loss with Channel Attention for Person Re-Identification
    Triplet Loss with Channel Attention for Person Re-Identification  Citation: 11#
    Journal of WSCG - Proceedings of the 2019 International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2019
    Daniel Organisciak, Chirine Riachy, Nauman Aslam and Hubert P. H. Shum
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    Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition
    Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition
    Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition (IAHFAR), 2018
    Zheming Zuo, Daniel Organisciak, Hubert P. H. Shum and Longzhi Yang
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      Last updated on 17 February 2024
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