Aiden Durrant
About
specializing in Computer Vision and Machine Learning. His work focuses on developing intelligent systems that can interpret and analyze visual data, combining advanced machine learning techniques with real-world applications such as image recognition, scene understanding, and data-driven decision-making. Through his research, he contributes to the growing field of artificial intelligence, exploring ways to enhance the accuracy, efficiency, and adaptability of computer vision models across a variety of domains.
Research Performance Summary
First Recorded Paper
3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection
Year: 2019
Citations: 24
Venue: EPJ Nuclear Sciences & Technologies
Latest Recorded Paper
HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2603.12222
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.