[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.

Brian K. S. Isaac-Medina

Durham University
Research Assistant (Part-Time)
, 2021 - 2021

Durham University
, United Kingdom

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Grants Involved

The Ministry of Defence (DASA)
Autonomous Persistent Wide Area Surveillance of Human and Vehicle Activity
Defence and Security Accelerator (Ref: DSTL0000007030, ACC6031106): £93,978, Post-Doctoral Research Fellow (PI: Prof. Toby P. Breckon)
Received from The Ministry of Defence (DASA), UK, 2022-2023
Project Page
The Catapult Network (S-TRIG)
Tracking Drones Across Different Platforms with Machine Vision
Security Technology Research Innovation Grants Programme (S-TRIG) (Ref: 007CD): £32,727, Research Assistant (PI: Hubert P. H. Shum) ()
Received from The Catapult Network (S-TRIG), UK, 2020-2021
Project Page

Publications with the Team

Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery  H5-Index: 108#
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon
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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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Links

Webpage
Webpage
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ResearchGate
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ORCID
ORCID
DBLP
DBLP

 

 

Last updated on 17 February 2024
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