Paul Miller

Paul Miller is a Professor and GII Director at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, based at the Institute of Electronics, Communications & Information Technology (ECIT) in Titanic Quarter, Belfast. His research bridges computer vision and cyber security through artificial intelligence applications.

His research focuses on applying AI to real-world problems, with expertise spanning deep learning, malware detection, anomaly detection, and re-identification. The fingerprint analysis of his work shows dominant contributions in Models (100%), Algorithms (94%), Reidentification (71%), Real World applications (62%), Detection (49%), Deep Learning (35%), Functions (30%), and Malware Detection (30%). His work demonstrates consistent translation of theoretical AI into practical implementations.

Recent publications reveal a dual-track research trajectory: agricultural technology applications (automated broiler chicken monitoring systems for weight estimation and activity analysis) and cyber security innovations (anomaly detection frameworks and adversarial machine learning defenses). These works consistently leverage computer vision and machine learning to solve domain-specific challenges.

Miller's scientific recognition includes:

• Belfast Telegraph IT Awards 2022 - Cybersecurity Project of the Year (Winner)
• Best Knowledge Transfer Partnership Award (2022)
• Best paper award at ACM AiSec 2022
• Mobile World Scholar Challenge Finalist (2019)

He actively supervises research through 8 supervised works and leads significant projects including the NIO New Deal Cyber Bid (AIDE_NICYBER2025) and CSIT Phase 2, securing substantial funding for machine learning and security research. His grant portfolio demonstrates strong industry-academia collaboration, particularly with Streamon.Net Ltd and Rapid7.

As a core member of ECIT's Speech, Image and Vision Systems research group, Miller leads a multidisciplinary team developing practical AI solutions. His laboratory work focuses on translating computer vision research into deployable systems for agriculture and security sectors, with recent projects like FlockFocus demonstrating real-world impact on animal welfare monitoring.