Anicetus Odo

About

Anicetus received the B.Eng. degree in Computer Engineering and a Masters (M.Eng.) degree in Electronic Engineering. In 2022, he completed a PhD in Engineering from the University of Dundee, United Kingdom. His research focused on image/video analysis using computer vision and deep learning. He has been involved in interdisciplinary research collaborations involving engineers, veterinarians and experts in the electricity transmission and distribution industry. Anicetus has presented his work at conferences and published in journals. He is a Postdoctoral Research Fellow at the School of Biological Sciences (Institute for Global Food Security), Queen’s University Belfast where he is leading the research to develop methods for automated monitoring of welfare challenges in farm animals.

Work

Queen's University Belfast

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Research Fellow

United Kingdom of Great Britain and Northern Ireland

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Queen's University Belfast

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Research Assistant

United Kingdom of Great Britain and Northern Ireland

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University of Dundee

United Kingdom of Great Britain and Northern Ireland

Enugu State University of Science and Technology

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Lecturer

Nigeria

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Education

University of Dundee

United Kingdom of Great Britain and Northern Ireland
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Research Postgraduate Student

Publications

Re-identification for long-term tracking and management of health and welfare challenges in pigs

Biosystems Engineering

journal-article

Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events

Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024

conference-paper

Video Analysis Using Deep Learning for Automated Quantification of Ear Biting in Pigs

IEEE Access

journal-article

Video Analysis Using Deep Learning for Automated Quantification of Ear Biting in Pigs

IEEE Access

journal-article

Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers

IEEE Power and Energy Society General Meeting

conference-paper

Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers

2022 IEEE Power & Energy Society General Meeting (PESGM)

conference-paper

Identifying Paintwork Deterioration for Image-based Monitoring of Distribution Towers

2022 IEEE Power and Energy Society General Meeting, PESGM 2022

conference-paper

Aerial Image Analysis Using Deep Learning for Electrical Overhead Line Network Asset Management

IEEE Access

journal-article

Aerial Image Analysis Using Deep Learning for Electrical Overhead Line Network Asset Management

IEEE Access

journal-article

Aerial Image Analysis using Deep Learning for Electrical Overhead Line Network Asset Management

IEEE Access

journal-article

Towards the automatic visual monitoring of electricity pylons from aerial images

VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

conference-paper

Towards the Automatic Visual Monitoring of Electricity Pylons from Aerial Images

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

other

Towards the Automatic Visual Monitoring of Electricity Pylons from Aerial Images

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

conference-paper

Automated Water Treatment Alternative for Domestic use in Enugu State of Nigeria

International Journal of Engineering and Technology

journal-article