Failure Analysis Informing Embedded Health Monitoring of Electromagnetic Relays. - Lucas Kirschbaum; Fateme Dinmohammadi; David Flynn; Valentin Robu; Michael G. Pecht (ICSRS, 2018)

Verifiable Self-Certifying Autonomous Systems. - Michael Fisher 001; Emily C. Collins 001; Louise A. Dennis; Matt Luckcuck; Matt Webster; Mike Jump; Vincent Pagé; Charles Patchett; Fateme Dinmohammadi; David Flynn; Valentin Robu; Xingyu Zhao 001 (ISSRE Workshops, 2018)

Probabilistic Model Checking of Robots Deployed in Extreme Environments. - Xingyu Zhao 001; Valentin Robu; David Flynn; Fateme Dinmohammadi; Michael Fisher 001; Matt Webster (AAAI, 2019)

Predicting Damage and Life Expectancy of Subsea Power Cables in Offshore Renewable Energy Applications. - Fateme Dinmohammadi; David Flynn; Chris Bailey 001; Michael G. Pecht; Chunyan Yin; Pushparajah Rajaguru; Valentin Robu (IEEE Access, 2019)

Understanding the End-Users and Technical Requirements for Real-Time Streaming Data Analytics and Visualisation. - Fateme Dinmohammadi; Duncan Wilson (ICAC, 2021)

Unmanned Aerial Drones for Inspection of Offshore Wind Turbines: A Mission-Critical Failure Analysis. - Mahmood Shafiee; Zeyu Zhou; Luyao Mei; Fateme Dinmohammadi; Jackson Karama; David Flynn (Robotics, 2021)

Artificial intelligence in prognostics and health management of engineering systems. - Sunday Ochella; Mahmood Shafiee; Fateme Dinmohammadi (Eng. Appl. Artif. Intell., 2022)

Deep Active Learning for Left Ventricle Segmentation in Echocardiography. - Eman Alajrami; Preshen Naidoo; Jevgeni Jevsikov; Elisabeth S. Lane; Jamie Pordoy; Nasim Dadashi Serej; Neda Azarmehr; Fateme Dinmohammadi; Matthew J. Shun-Shin; Darrel P. Francis; Massoud Zolgharni (FIMH, 2023)

Adopting Artificial Intelligence in Industry 4.0: Understanding the Drivers, Barriers and Technology Trends. - Fateme Dinmohammadi (ICAC, 2023)

Structural Damage Identification of Low-Carbon Energy Infrastructure Using Convolutional Neural Networks: A Case Study of Wind Turbines. - Fateme Dinmohammadi; Jackson Karama; Mahmood Shafiee (ICAC, 2023)

A Deep Learning based Software Application for Handwritten Text Recognition. - Fateme Dinmohammadi; Nishanthi Thuduwewatta (ICAC, 2024)

Active learning for left ventricle segmentation in echocardiography. - Eman Alajrami; Tiffany Ng; Jevgeni Jevsikov; Preshen Naidoo; Patricia Fernandes; Neda Azarmehr; Fateme Dinmohammadi; Matthew J. Shun-Shin; Nasim Dadashi Serej; Darrel P. Francis; Massoud Zolgharni (Comput. Methods Programs Biomed., 2024)

Sustainable Edge Node Computing Deployments in Distributed Manufacturing Systems. - Shidrokh Goudarzi; Seyed Ahmad Soleymani; Mohammad Hossein Anisi; Anish Jindal; Fateme Dinmohammadi; Pei Xiao 001 (IEEE Trans. Consumer Electron., 2024)

Ensemble Learning for Large Language Models in Text and Code Generation: A Survey. - Mari Ashiga; Wei Jie; Fan Wu 009; Vardan Voskanyan; Fateme Dinmohammadi; Paul Brookes; Jingzhi Gong; Zheng Wang 001 (CoRR, 2025)