Artificial Intelligence (AI) research group

Predicting patient returns due to complications and recommending follow-up appointments after a dental extraction using machine learning

F Pethani, JK Kummerfeld, X Dai, M Conway, A Yaacoub, S Karimi, H Spallek, AG Dunn

Journal article  |  2026  |  Discover Artificial Intelligence

Purpose: After a dental extraction, knowing which patients are at higher risk of return due to complications may help plan a bette..

GenMix: Effective data augmentation with generative diffusion model image editing

K Islam, MZ Zaheer, A Mahmood, K Nandakumar, N Akhtar

Journal article  |  2026  |  Expert Systems with Applications

Data augmentation is widely used to enhance generalization in visual classification tasks. However, traditional methods struggle w..

Large Language Models for Computer-Aided Design: A Survey

Licheng Zhang, Bach Le, Naveed Akhtar, Siew-Kei Lam, Duc Ngo

Journal article  |  2026  |  ACM Computing Surveys

Large Language Models (LLMs) have seen rapid advancements in recent years, with models like ChatGPT and DeepSeek, showcasing their..

Just-in-time bug classifier: A step towards integrating Automated Program Repair in CI/CD pipelines

V Kabadi, XBD Le, P Thongtanunam, C Treude

Journal article  |  2026  |  Information and Software Technology

Context: Automated Program Repair (APR) tools have advanced in recent years, yet their effectiveness can improve when integrated i..

Prompt-guided selective frequency network for real-world scene text image super-Resolution

X Yan, T Shan, H Qin, N Akhtar, Y Liu, H Rahmani, A Mian

Journal article  |  2026  |  Pattern Recognition

Real-world scene text image super-resolution is challenging due to complex writing strokes, random text distribution, and diverse ..

Transmembrane pressure evolution during constant flux SPTFF – a comparison of two proteins

M Discepola, B Oetomo, B Heydon, J Atherton, B Hunt, L Luo, SL Gras, SE Kentish

Journal article  |  2026  |  Journal of Membrane Science

Single-pass tangential flow filtration (SPTFF) is an enabling technology for continuous bioprocessing, but its performance can be ..

A Bayesian framework for robust local intrinsic dimensionality estimation

Z Joukhadar, H Huang, SM Erfani, RJGB Campello, ME Houle, J Bailey

Journal article  |  2026  |  Information Systems

Local Intrinsic Dimensionality (LID) is a measure of data complexity in the vicinity of a query point. In this work, we propose a ..

Applying organizational mining to discover agent systems from event data

Q Shen, A Polyvyanyy, N Lipovetzky, T Kampik

Journal article  |  2026  |  Information Systems

Agent system mining is a recently introduced type of process mining that takes a bottom-up approach to the data-driven analysis of..

MetaPilot: A DRL-based controller for dynamic adaptation to shifting scheduling objectives in HPC systems

L Wang, MA Rodriguez, N Lipovetzky

Journal article  |  2026  |  Future Generation Computer Systems

Efficient job scheduling in high-performance computing (HPC) systems necessitates the simultaneous consideration of system-centric..

NarrativeSense: Predicting Affective States in University Students through Smartphone Sensing and Contextual Narratives

Tianyi Zhang, Yan Li, Yihao Ding, Hong Jia, Vassilis Kostakos, Simon D’Alfonso

Journal article  |  2026  |  ACM Transactions on Computing for Healthcare

Mental health challenges are increasingly prevalent among university students, yet often go undetected due to reliance on traditio..