A Multi-agent Architecture for Distributed Design. - Ovidiu Chira; Camelia Chira; David Tormey; Attracta Brennan; Thomas Roche (HoloMAS, 2003)

An agent-based approach to knowledge management in distributed design. - Ovidiu Chira; Camelia Chira; Thomas Roche; David Tormey; Attracta Brennan (J. Intell. Manuf., 2006)

Comparison of Research Based vs. Industry Developed PSS Models. - Linda Ryan; David Tormey; Perry Share (IESS, 2011)

Educational programmes for future employability of graduates in SMEs. - Ingrid Hunt; Emma O'Brien; David Tormey; Slyvia Alexander; Eamonn McQuade; Michael Hennessy (J. Intell. Manuf., 2013)

Cultural Barriers to the Transition from Product to Product Service in the Medical Device Industry. - Linda Ryan; David Tormey; Perry Share (Int. J. Serv. Sci. Manag. Eng. Technol., 2014)

A Data Science Approach to Modelling a Manufacturing Facility's Electrical Energy Profile from Plant Production Data. - Konrad Mulrennan; John Donovan; David Tormey; Russell Macpherson (DSAA, 2018)

Machine vision for the quality assessment of emulsions in pharmaceutical processing. - Saritha Unnikrishnan; John Donovan; Russell Macpherson; David Tormey (UV, 2018)

Modelling the electrical energy profile of a batch manufacturing pharmaceutical facility. - Konrad Mulrennan; Mohamed Awad; John Donovan; Russell Macpherson; David Tormey (Int. J. Data Sci. Anal., 2020)

An Integrated Histogram-Based Vision and Machine-Learning Classification Model for Industrial Emulsion Processing. - Saritha Unnikrishnan; John Donovan; Russell Macpherson; David Tormey (IEEE Trans. Ind. Informatics, 2020)

A Hybrid Deep Model for Brain Tumor Classification. - Hamail Ayaz; Muhammad Ahmad; David Tormey; Ian McLoughlin; Saritha Unnikrishnan (MICAD, 2021)

Comparison of Intelligent Approaches for Cycle Time Prediction in Injection Moulding of a Medical Device Product. - Mandana Kariminejad; David Tormey; Saif Huq; Jim Morrison; Marion McAfee (RTSI, 2021)

Ultrasound Sensors for Process Monitoring in Injection Moulding. - Mandana Kariminejad; David Tormey; Saif Huq; Jim Morrison; Marion McAfee (Sensors, 2021)

Hyperspectral Brain Tissue Classification using a Fast and Compact 3D CNN Approach. - Hamail Ayaz; David Tormey; Ian McLoughlin; Muhammad Ahmad; Saritha Unnikrishnan (IPAS, 2022)

A constraint programming model for makespan minimisation in batch manufacturing pharmaceutical facilities. - Mohamed Awad; Konrad Mulrennan; John Donovan; Russell Macpherson; David Tormey (Comput. Chem. Eng., 2022)

Prediction of Hotspots in Injection Moulding by Using Simulation, In-Mould Sensors, and Machine Learning. - Mandana Kariminejad; David Tormey; Christopher O'Hara; Marion McAfee (CoDIT, 2023)

Optimization of a Commercial Injection-Moulded component by Using DOE and Simulation. - Mandana Kariminejad; David Tormey; Saif Huq; Jim Morrison; Jeff Redmond; Carlos Souto; Marion McAfee (CoRR, 2023)

Condition Monitoring of Additively Manufactured Injection Mould Tooling: A Review of Demands, Opportunities and Potential Strategies. - Albert Weinert; David Tormey; Christopher O'Hara; Marion McAfee (Sensors, 2023)

A random graph-based neural network approach to assess glioblastoma progression from perfusion MRI. - Hamail Ayaz; Hanieh Khosravi; Ian McLoughlin; David Tormey; Yelda Özsunar; Saritha Unnikrishnan (Biomed. Signal Process. Control., 2023)

Single and Multi-Objective Real-Time Optimisation of an Industrial Injection Moulding Process via a Bayesian Adaptive Design of Experiment Approach. - Mandana Kariminejad; David Tormey; Caitríona Ryan; Christopher O'Hara; Albert Weinert; Marion McAfee (CoRR, 2024)

Model-based pressure tracking using a feedback linearisation technique in thermoplastic injection moulding. - Mandana Kariminejad; David Tormey; Marion McAfee (CoRR, 2024)

Post-hoc eXplainable AI methods for analyzing medical images of gliomas ( - A review for clinical applications). - Hamail Ayaz; Esra Sümer; Esin Ozturk-Isik; Thomas C. Booth; David Tormey; Ian McLoughlin; Saritha Unnikrishnan (Comput. Biol. Medicine, 2025)