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Dr Moschos Papananias
Lecturer in Manufacturing Engineering

Howell 102

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Papananias, M. (2024) 'Non-Intrusive Monitoring of Machining Processes for In-Process Product Health Prediction based on Machine Learning'.18th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Gulf of Naples, Italy. Procedia CIRP. pp. 1 - 6. ISSN: 2212-8271 Open Access Link

Conference paper

Papananias, M., McLeay, TE., Mahfouf, M. and Kadirkamanathan, V. (2022) 'A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes'. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 237 (9). pp. 1295 - 1310. ISSN: 0954-4054 Open Access Link

Journal article

Papananias, M., McLeay, TE., Mahfouf, M. and Kadirkamanathan, V. (2022) 'A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing'. Journal of Manufacturing Processes, 76. pp. 475 - 485. ISSN: 1526-6125 Open Access Link

Journal article

Obajemu, O., Mahfouf, M., Papananias, M., McLeay, TE. and Kadirkamanathan, V. (2021) 'An interpretable machine learning based approach for process to areal surface metrology informatics'. Surface Topography: Metrology and Properties, 9 (4). pp. 1 - 13. ISSN: 2051-672X Open Access Link

Journal article

Papananias, M., McLeay, TE., Obajemu, O., Mahfouf, M. and Kadirkamanathan, V. (2020) 'Inspection by exception: A new machine learning-based approach for multistage manufacturing'. Applied Soft Computing Journal, 97. pp. 1 - 15. ISSN: 1568-4946 Open Access Link

Journal article

Papananias, M., Obajemu, O., McLeay, TE., Mahfouf, M. and Kadirkamanathan, V. (2020) 'Development of a new machine learning-based informatics system for product health monitoring'.53rd CIRP Conference on Manufacturing Systems 2020. Chicago, USA / virtual. 22 - 3 July. Elsevier BV. pp. 473 - 478. ISSN: 2212-8271 Open Access Link

Conference paper

Papananias, M., McLeay, TE., Mahfouf, M. and Kadirkamanathan, V. (2019) 'An intelligent metrology informatics system based on neural networks for multistage manufacturing processes'.17th CIRP Conference on Modelling of Machining Operations (17th CIRP CMMO). Sheffield, UK. 5 - 14 June. Elsevier BV. pp. 444 - 449. ISSN: 2212-8271 Open Access Link

Conference paper

Papananias, M., McLeay, TE., Mahfouf, M. and Kadirkamanathan, V. (2019) 'A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing'. Computers in Industry, 105. pp. 35 - 47. ISSN: 0166-3615 Open Access Link

Journal article

Papananias, M., Fletcher, S., Longstaff, AP. and Forbes, AB. (2017) 'Uncertainty evaluation associated with versatile automated gauging influenced by process variations through design of experiments approach'. Precision Engineering, 49. pp. 440 - 455. ISSN: 0141-6359

Journal article

Forbes, A., Papananias, M., Longstaff, A., Fletcher, S., Mengot, A. and Jonas, K. (2016) 'Developments in automated flexible gauging and the uncertainty associated with comparative coordinate measurement'. Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2016.

Conference paper

Brunel University London
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