Ivan Andonovic

PROFESSOR

University Of Strathclyde

United Kingdom

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About

Professor Ivan Andonovic is a faculty member at the University of Strathclyde in the UK. His research interests encompass various areas including motor and behavioral dynamics in infants, online position estimation methods, and multi-modal convolutional networks. He has recently contributed to studies on feed conversion ratios in beef production and deep learning applications in diabetic retinopathy analysis. His work emphasizes innovation in both theoretical frameworks and practical applications across diverse engineering and health-related topics.

Articles (15)

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (18)

KONSTANTINOS NIKAS

Laboratory Teaching Staff

National Technical University of Athens

GREECE

Ivan Andonovic

Research Interests

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Articles (15)

A multi-level analysis of motor and behavioural dynamics in 9-month-old preterm and term-born infants during changing emotional and interactive contexts

Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems

Neural Knitworks: Patched neural implicit representation networks

A Novel Online Position Estimation Method and Movement Sonification System: The Soniccup

Feed Conversion Ratio (FCR) and Performance Group Estimation Based on Predicted Feed Intake for the Optimisation of Beef Production

Leveraging siamese networks for one-shot intrusion detection model

A mapping review of real-time movement sonification systems for movement rehabilitation

Correction: Czerkawski et al. Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery. Remote Sens. 2022, 14, 1342

Deep internal learning for inpainting of cloud-affected regions in satellite imagery

Behavioural Classification of Cattle Using Neck-Mounted Accelerometer-Equipped Collars

A flexible multi-temporal and multi-modal framework for Sentinel-1 and Sentinel-2 analysis ready data

Cyber-Security Challenges in Aviation Industry: A Review of Current and Future Trends

Cyber Security in the Maritime Industry: A Systematic Survey of Recent Advances and Future Trends

Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions

LoRaWAN-implemented node localisation in a sandstorm environment based on received signal strength indicator

Collaborators (18)

KONSTANTINOS NIKAS

Christos Tachtatzis

Elochukwu UKWANDU

Javier Cardona

Priti Upadhyay

Madeleine Grealy

Mohamed Amine Ben Farah

Walter Michie

Nikela Papadopoulou

Robert Atkinson

Jonathan Delafield-Butt

Carol-Anne Duthie

Muhammad Adnan Khan

Astrid Werkmeister

Miroslav Bures

xavier bellekens

Andrew Kerr

Malcolm Macdonald

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