Professor George Panoutsos
MSc, PhD, FHEA
Department of Automatic Control and Systems Engineering
Head of Department
Professor of Computational Intelligence
g.panoutsos@sheffield.ac.uk
+44 114 222 5130
+44 114 222 5130
Amy Johnson Building
Full contact details
Professor George Panoutsos
Department of Automatic Control and Systems Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
Department of Automatic Control and Systems Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Profile
-
George Panoutsos received his PhD degree in automatic control and systems engineering from the University of Sheffield, Sheffield, U.K, in 2007. He joined the Department of Automatic Control and Systems Engineering (University of Sheffield, UK) as a Lecturer in 2010, and promoted to Professor of Computational Intelligence in 2019.
George has a research grant portfolio of over £3M from the UK EPSRC, Innovate UK, DSTL, EU Horizon 2020 and direct industry funding, as well as over 100 research publications in theoretical as well as applied contributions in the areas of computational intelligence, data-driven modelling, optimisation, control, and decision support systems.
In terms of applied research, the majority of his work is on advanced manufacturing systems, as well as healthcare applications, while also currently exploring research applications in energy and infrastructure.
- Research interests
-
My research focuses on explainable and trustworthy machine learning (ML). Explainability is multifaceted in this context; I work on mathematical and computational methods in Computational Intelligence (CI) that enable enhanced understanding and transparent information use for neural networks, visual and numerical performance measures for many-objective optimisation algorithms, as well as linguistic interpretations of models, and safe control systems. Explainability and trustworthiness are key barriers in using machine learning in a range of critical applications, e.g. in engineering, and healthcare. A multitude of research questions still need to be addressed, for example how neural network - based systems learn and perform when information/data is imperfect, how can we exploit prior knowledge for enhanced learning, and how can we develop performance metrics that will allow us to understand the optimisation of systems at scale.
Towards formulating research questions in machine learning, I often use challenge-driven research e.g. in manufacturing, healthcare, as case studies. This way, applications drive the research questions, towards maximising impact. I also use explainable machine learning for translational research and to create innovation to address global challenges (e.g. sustainability, energy). The advanced monitoring, optimisation and control of manufacturing processes is such an example, where ML-based methods can be used to reduce material waste, and minimise energy use.
I welcome PhD applications in topics that fall under Computational Intelligence, in particular when these are concerned with explainable machine learning. Examples of recent PhD projects include, physics-guided neural networks, physics-guided generative models, new performance metrics for decomposition-based many-objective optimisation, information theoretic explainability in neural networks, safe reinforcement learning, and linguistic interpretations of Convolutional Neural Networks.
Recent research awards and projects
-
2019-2021, Innovate UK, 'VULCAN' Data efficient process-part monitoring and control for Electron Beam Melting using Machine Learning (PI, £268k)
-
2019, UoS ACSE pump-prime fund, A phenotypical knowledge-based image classifier for identification of novel anti-metastasis drugs (PI, £2k)
-
2019-2021 EPSRC, Using Machine learning to enable feedback controlled manufacture of self-assembled patterned materials (co-I £250k)
- 2019-2022, Aerospace Technology Institute, DAM, Developing Design for Additive Manufacturing, (co-I, ACSE project £186k)
- 2019-2022, Aerospace Technology Institute, AIRLIFT, Additive IndustRiaLIsation FuTure Technology, (co-I, ACSE project £140k)
- 2016-2022 EPSRC MAPP Hub, Future Powder Manufacturing Hub (co-I £10M)
- 2018-2020 EU H2020, INTEGRADDE (co-I £12.7M)
- 2017-2019 Innovate UK, MIRIAM - Machine Intelligence for Radically Improved Additive Manufacturing (co-I £666k)
- 2016 -2018 Innovate UK, TACDAM, Tailorable & Adaptive Connected Digital Additive Manufacturing (academic PI £1M )
- 2018-2020 TWI Ltd, Phased array NDT in Stir Welding: Interpretable machine learning and process monitoring (PI £42k)
- 2015-2017 EU H2020, Factories of The Future - 01: Process Optimisation of Manufacturing Assets, COMBILASER, (co-I and academic lead, £3.48M)
- 2014-2016 TSB, Sustained Process Excellence through Embedding of Analytics and Knowledge Management into Process Chains, Academic (PI, total project cost £441k)
- 2013-2014 METRC Innovation Award, Online and real-time condition monitoring of Friction Stir Welding, (PI £10k)
- 2012 EPSRC/Sheffield University, Model-based performance evaluation for critical manufacturing processes (PI £61k)
- 2012-2014 TWI Ltd. Yorkshire, UK, Automated Systems for Intelligent Stir Tracking and Optimisation (PI £29k)
- 2010-2013 TWI Ltd. Cambridge, UK, Multiscale model-based search for optimal Process Operating Windows in Friction Stir Welding (PI £6k)
-
- Publications
-
Journal articles
- Synchrotron imaging derived relationship between process parameters and build quality for directed energy deposition additively manufactured IN718. Additive Manufacturing Letters, 6.
- Stability in Reinforcement Learning Process Control for Additive Manufacturing. IFAC-PapersOnLine, 56(2), 4719-4724.
- A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.. CoRR, abs/2309.00911.
- An evolving feature weighting framework for radial basis function neural network models. Expert Systems.
- Hyaluronan nanoscale clustering and Hyaluronan synthase 2 expression are linked to the invasion of child fibroblasts and infantile fibrosarcoma in vitro and in vivo. Scientific Reports, 12, 1-10. View this article in WRRO
- Near-field blast load predictions using machine learning. IAPS Newsletter, 14.
- Application of transfer learning for the prediction of blast impulse. International Journal of Protective Structures. View this article in WRRO
- Structure optimization of prior-knowledge-guided neural networks. Neurocomputing, 491, 464-488. View this article in WRRO
- Physics-informed regularisation procedure in neural networks: An application in blast protection engineering. International Journal of Protective Structures.
- Data-driven granular computing systems and applications. Granular Computing. View this article in WRRO
- A data-driven approach for predicting printability in metal additive manufacturing processes. Journal of Intelligent Manufacturing. View this article in WRRO
- A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors. Neurocomputing, 389, 42-55. View this article in WRRO
- Transient thermography for flaw detection in friction stir welding : a machine learning approach. IEEE Transactions on Industrial Informatics. View this article in WRRO
- Methods for rapid pore classification in metal additive manufacturing. JOM Journal of the Minerals, Metals and Materials Society. View this article in WRRO
- Long-term Learning for Type-2 Neural-Fuzzy Systems. Fuzzy Sets and Systems, 368, 59-81. View this article in WRRO
- Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing. IEEE Transactions on Industrial Electronics, 66(5), 3794-3803. View this article in WRRO
- General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model. IEEE Transactions on Fuzzy Systems, 27(2), 333-347. View this article in WRRO
- Project SunbYte: solar astronomy on a budget. Astronomy and Geophysics, 58(2), 2.24-2.25. View this article in WRRO
- A real-time quality monitoring framework for steel friction stir welding. Journal of Manufacturing Processes, 20(1), 137-148.
- A real-time quality monitoring framework for steel friction stir welding using computational intelligence. Journal of Manufacturing Processes, 20(P1), 137-148.
- Multiobjective optimal design of friction stir welding considering quality and cost issues. Science and Technology of Welding and Joining, 20(7), 607-615. View this article in WRRO
- High Dimensionality and Scaling-up Performance of RBF Models with Application to Healthcare Informatics. International Journal of Machine Learning and Computing, 5(1), 62-67.
- Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework. IEEE Transactions on Fuzzy Systems, 23(2), 457-473.
- Granular computing neural-fuzzy modelling: A neutrosophic approach. APPLIED SOFT COMPUTING, 13(9), 4010-4021.
- Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT), 273, 191.
- Knowledge discovery for friction stir welding via data driven approaches part 1 - Correlation analyses of internal process variables and weld quality. Science and Technology of Welding and Joining, 17(8), 672-680.
- Knowledge discovery for friction stir welding via data driven approaches Part 2 - Multiobjective modelling using fuzzy rule based systems. Science and Technology of Welding and Joining, 17(8), 681-693.
- Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT). Communications in Computer and Information Science, 273, 191-204.
- Probabilistic characterisation of model error using Gaussian mixture model-With application to Charpy impact energy prediction for alloy steel. Control Engineering Practice.
- Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction. Advances in Engineering Software, 42(7), 435-443.
- Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm. Materials and Manufacturing Processes, 26(3), 508-520.
- Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction. Advances in Engineering Software.
- Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: Advisory system design and evaluation. Computer Methods and Programs in Biomedicine, 99(2), 208-217.
- Real-time adaptive automation system based on identification of operator functional state in simulated process control operations. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, 40(2), 251-262.
- Modelling steel heat treatment data using granular data compression and multiple granularity modelling.. IJGCRSIS, 1, 382-392.
- A neural-fuzzy modelling framework based on granular computing: Concepts and applications. Fuzzy Sets and Systems, 161(21), 2808-2830.
- Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: Simulations and future trends. IEEE Transactions on Information Technology in Biomedicine, 14(3), 641-649. View this article in WRRO
- Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model. Computer Methods and Programs in Biomedicine, 99(2), 195-207.
- "right-first-time" production: A reality or a myth?. Materials and Manufacturing Processes, 24(1), 78-82.
- Electrical impedance tomography: an evaluation of its ability to detect changes in lung volume and expansion during single lung ventilation. BRITISH JOURNAL OF ANAESTHESIA, 100(4), 584P-584P.
- Initial comparisons of absolute electrical impedance tomography (EIT) lung volume estimates with spirometry. BRITISH JOURNAL OF ANAESTHESIA, 98(2), 294P-294P.
- TabNet: Locally Interpretable Estimation and Prediction for Advanced Proton Exchange Membrane Fuel Cell Health Management. Electronics, 13(7), 1358-1358.
- In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach. Journal of Intelligent Manufacturing.
- Analytical comparison between in-situ control strategies for selective laser melting process. IFAC-PapersOnLine.
- A novel approach to PFC for nonlinear systems. European Journal of Control(2022 ECC Special Issue of the European Journal of Control.).
- A real-time multi-objective optimisation framework for Friction Stir Welding. Engineering Applications of Artificial Intelligence.
- Predicting specific impulse distributions for spherical explosives in the extreme near-field using a Gaussian function. International Journal of Protective Structures.
Chapters
- Interpretable Convolutional Neural Networks Using a Rule-Based Framework for Classification, Intelligent Systems: Theory, Research and Innovation in Applications (pp. 1-24). Springer International Publishing
- Data-Driven Interval Type-2 Fuzzy Modelling for the Classification of Imbalanced Data, Studies in Systems, Decision and Control (pp. 37-51).
- An incremental learning structure using granular computing and model fusion with application to materials processing (pp. 139-153).
Conference proceedings papers
- Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing. 2023 IEEE International Conference on Networking, Sensing and Control (ICNSC), 25 October 2023 - 27 October 2023.
- High Dimensional Many Objective Optimisation through Diverse Creation and Categorisation of Reference Vectors. Proceedings of the Companion Conference on Genetic and Evolutionary Computation
- Exploiting Laguerre polynomials and steady-state estimates to facilitate tuning of PFC. 2022 European Control Conference (ECC), 12 July 2022 - 15 July 2022. View this article in WRRO
- A novel approach to PFC for nonlinear systems. European Journal of Control (pp 100668-100668) View this article in WRRO
- On-The-Fly CNC interpolation using frequency-domain FFT-based filtering. Procedia CIRP, Vol. 107 (pp 1571-1576). Lugano, Switzerland, 29 June 2022 - 1 July 2022.
- Predictive Functional Control for Difficult Second-Order Dynamics with a Simple Pre-compensation Strategy. 2022 UKACC 13th International Conference on Control (CONTROL), Vol. 00 (pp 12-17) View this article in WRRO
- Predictive Functional Control for Difficult Dynamic Processes with a Simplified Tuning Mechanism. 2022 UKACC 13th International Conference on Control (CONTROL), Vol. 00 (pp 130-135) View this article in WRRO
- Fuzzy Multi-Criteria Decision-Making: Example of an Explainable Classification Framework. UKCI 2021: Advances in Computational Intelligence Systems, Vol. 1409 (pp 15-26). Aberystwyth, United Kingdom, 8 September 2021 - 10 September 2021.
- An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models. UKCI 2021: Advances in Computational Intelligence Systems, Vol. 1409 (pp 3-14). Aberystwyth, UK, 8 September 2021 - 10 September 2021.
- Control of selective laser melting processes: existing efforts, challenges, and future opportunities. A first course in Predictive Control View this article in WRRO
- Mental Workload Estimation using Wireless EEG Signals.. BIOSIGNALS (pp 200-207)
- Mental Workload Estimation using Wireless EEG Signals. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 11 February 2021 - 13 February 2021.
- A Physics-Guided Machine Learning Approach to Understanding Loading Distributions from Explosive Events. 22nd IStructE Young Researchers Conference, 4 September 2020 - 4 September 2020.
- Multi-criteria decision making using Fuzzy Logic and ATOVIC with application to manufacturing. 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Glasgow, UK, 19 July 2020 - 24 July 2020.
- A New Method for Generating and Indexing Reference Points in Many Objective Optimisation. 2020 IEEE Congress on Evolutionary Computation (CEC), 19 July 2020 - 24 July 2020.
- Interpretable Machine Learning: Convolutional Neural Networks with RBF Fuzzy Logic Classification Rules. Proceedings of the 2018 International Conference on Intelligent Systems (pp 448-454), 25 September 2018 - 27 September 2018. View this article in WRRO
- An MCDM framework for the classification of features from ultrasonic images of plastic pipe welds. 58th Annual Conference of the British Institute of Non-Destructive Testing, NDT 2019
- An MCDM framework for the classification of features from ultrasonic images of plastic pipe welds. 58th Annual Conference of the British Institute of Non-Destructive Testing, NDT 2019
- Evolutionary Extreme Learning Machine for the Interval Type-2 Radial
Basis Function Neural Network: A Fuzzy Modelling Approach. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 8 July 2018 - 13 July 2018. View this article in WRRO
- A combined Adaptive Neuro-Fuzzy and Bayesian strategy for recognition and prediction of gait events using wearable sensors. IEEE International Conference on Fuzzy Systems View this article in WRRO
- An ensemble data-driven fuzzy network for laser welding quality prediction. 2017 IEEE International Conference on Fuzzy Systems, 9 July 2017 - 12 July 2017. View this article in WRRO
- Closing the loop – Using Online Monitoring Techniques for an Automated Laser Welding Process Optimization in Industrial Applications. Proceedings of the Lasers in Manufacturing Conference 2017, 26 June 2017 - 29 June 2017.
- Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process. IFAC-PapersOnLine, Vol. 49(20) (pp 143-148) View this article in WRRO
- Iterative Information Granulation for Novelty Detection in Complex Datasets. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 24 July 2016 - 29 July 2016. View this article in WRRO
- A Data-driven fuzzy modelling framework for the classification of imbalanced data. 2016 IEEE 8th International Conference on Intelligent Systems (IS), 4 September 2016 - 6 September 2016.
- Model-Based Feature Selection Based on Radial Basis Functions and Information Measures. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 24 July 2016 - 29 July 2016. View this article in WRRO
- A Novelty detection framework based on fuzzy entropy for a complex manufacturing process. IEEE International Conference on Intelligent Systems 2014, IEEE IS'14. Warsaw, Poland, 24 September 2014 - 26 September 2014.
- A Shannon entropy-based conflict measure for enhancing granular computing-based information processing. 2014 IEEE International Conference on Granular Computing (GrC), 22 October 2014 - 24 October 2014.
- High dimensionality and scaling-up performance of RBF models with application to healthcare informatics. 5th International Conference on Computer and Computational Intelligence. Paris, France, 6 December 2014 - 7 December 2014.
- Manufacturing Informatics and Human-in-the-loop: A case study on Friction Stir Welding. 3rd EPSRC Manufacturing the Future Conference. Glasgow, 23 September 2014 - 24 September 2014.
- Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification. IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014. Beijing, China, 6 July 2014 - 11 July 2014.
- Systematic modelling and real-time optimisation for manufacturing complex geometries using additive manufacturing technologies. 2nd Annual EPSRC Manufacturing the Future conference. Cranfield University, UK, 17 September 2013 - 18 September 2013.
- Radial basis function neural-fuzzy model for microarray signature identification. BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms (pp 134-139)
- Systems modelling of the internal process variables for friction stir welding using genetic multi-objective fuzzy rule-based systems. ASM Proceedings of the International Conference: Trends in Welding Research (pp 834-841)
- Suggestive therapeutic pathways using hyper-heuristics. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 45(18) (pp 397-402)
- A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition. 2012 IEEE Congress on Evolutionary Computation, CEC 2012
- Recursive Fuzzy Predictions of future Patient Paths to support Clinical Decision Making in ICU. 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2012). Shanghai, China, 17 May 2012 - 20 May 2012.
- Promoting the use of clickers across a whole engineering faculty: How, why and is it worth it?. EE 2012 - International Conference on Innovation, Practice and Research in Engineering Education, Conference Proceedings
- Model-based process monitoring in Friction Stir Welding. 9th International Symposium on Friction Stir Welding. Alabama, USA, 15 May 2012 - 17 May 2012.
- Knowledge Management System IMMPETUS (KMSI) - Connoisseur. 9th International Symposium on Friction Stir Welding. Alabama, USA, 23 October 2011 - 29 October 2011.
- Wavelet analysis for assessing friction stir welding quality for aluminium AA5083. Euromat '11. Montpellier, France, 12 September 2011 - 15 September 2011.
- Systems-modelling of compact tension energy in high strength pipeline steel. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 44(1 PART 1) (pp 12126-12131)
- An integrated system approach for solving multi-objective scheduling problems and advanced control of an experimental hot-rolling mill. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 44(1 PART 1) (pp 12084-12089)
- Confidence interval assessment for Charpy impact energy predictions - A Gaussian Mixture Model (GMM)-based approach. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 44(1 PART 1) (pp 11738-11743)
- Model fusion via a master fuzzy system with special application to engineering materials. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 44(1 PART 1) (pp 11732-11737)
- Multiple characterisation modelling of friction stir welding using a genetic multi-objective data-driven fuzzy modelling approach. IEEE International Conference on Fuzzy Systems (pp 2288-2295)
- Adaptive neural-fuzzy inference system for classification of rail quality data with bootstrapping-based over-sampling. IEEE International Conference on Fuzzy Systems (pp 2205-2212)
- Neural-fuzzy modelling of lung volume using absolute electrical impedance tomography. BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing (pp 43-50)
- A generic framework for enhancing the interpretability of granular computing-based information. 2010 IEEE International Conference on Intelligent Systems, IS 2010 - Proceedings (pp 19-24)
- The Sheffield Mk3.5 Absolute Resistivity aEIT system - Review of Recent Updates and Future Trends. Proceedings of EIT 2009. Manchester, UK, 16 June 2009 - 19 June 2009.
- The assessment of Heart Rate Variability (HRV) and Task Load Index (TLI) as physiological markers for physical stress. IFMBE Proceedings, Vol. 25(13) (pp 146-149)
- Goal-Directed Therapy for General ICU Patients Using Aggregated Multi-Objective Optimisation. IFAC Proceedings Volumes, Vol. 41(2) (pp 9063-9068)
- Goal-directed therapy for general ICU patients using aggregated multi-objective optimisation. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 17(1 PART 1)
- Absolute Electrical Impedance Tomography (EIT) during singl lung ventilation. Proceedings of the 21st ESICM Annual Congress (European Society of Intensive Care Medicine) (pp S245). Lisbon, Portugal, 21 September 2008 - 24 September 2008.
- An improved algorithm for accurate absolute EIT lung volume estimation and localisation. Proceedings of the International Conference of the ATS (American Thoracic Society). Toronto, Canada, 16 May 2008 - 21 May 2008.
- Modelling imprecise and scattered multidimensional data using granular data compression and multiple granularity modelling. 2008 IEEE International Conference on Granular Computing, GRC 2008 (pp 512-517)
- Information Fusion using Granular Computing Neural-Fuzzy Networks and Expert Knowledge. Proceedings of European Control Conference ECC'07. Kos, Greece, 2 July 2007 - 5 July 2007.
- Electrical Impedance Tomography (EIT) in pulmonary measurement: A review of applications and research. Proceedings of the 5th IASTED International Conference on Biomedical Engineering, BioMED 2007 (pp 221-230)
- An improved blood gas intelligent hybrid model for mechanically ventilated patients in the intensive care unit. Proceedings of the 5th IASTED International Conference on Biomedical Engineering, BioMED 2007 (pp 73-78)
- Initial comparisons of absolute electrical impedance tomography (EIT) lung volume estimates with Spirometry. Proceedings of the ARS Meeting (Anaesthetic Research Society), British Journal of Anaesthesia, Vol. 2(98). London, UK, 23 November 2006 - 24 November 2006.
- An incremental learning structure using granular computing and model fusion with application to materials processing. IEEE Intelligent Systems (pp 367-372)
- An incremental learning structure using granular computing and model fusion with application to materials processing. 2006 3rd International IEEE Conference Intelligent Systems, Vols 1 and 2 (pp 360-365)
- Granular computing and evolutionary fuzzy modelling for mechanical properties of alloy steels. 16th IFAC World Congress. Prague, Czech Republic, 4 July 2005 - 8 July 2005.
- Initial investigation of online control system for selective laser melting process: multi-layer level. CONTROL 2024: 14th United Kingdom Automatic Control Council (UKACC) International Conference on Control. Winchester, UK, 10 April 2024 - 10 April 2024. View this article in WRRO
- Disturbance observer-based optimal tracking control for slot coating process with mismatched input disturbances. CONTROL 2024: 14th United Kingdom Automatic Control Council (UKACC) International Conference on Control. Winchester, UK, 10 April 2024 - 10 April 2024. View this article in WRRO
- Fuzzy Logic Control in Metal Additive Manufacturing: A Literature Review and Case Study. Fuzzy Logic Control in Metal Additive Manufacturing: A Literature Review and Case Study, 15 August 2022 - 17 April 2022.
- Self-tuning multi-model statistical process control for process monitoring in additive manufacturing. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 17 May 2022 - 20 May 2022.
- A Multilayer Fuzzy Extreme Learning Machine for Regression and Classification Problems. 2019 IEEE International Conference on Fuzzy Systems
- Combining static and temporal process data in the modelling of FSW weld quality and mechanical properties using Computational Intelligence. 8th International Symposium on Friction Stir Welding. Timmendorfer Strand, Germany, 18 May 2010 - 20 May 2010.
- Input weighted data granulation using hybrid correlation measures with application to metal properties. IFAC, Workshop on Automation in Mining, Mineral and Metal Industry. Vina Del Mar, Chile, 14 October 2009 - 16 October 2009.
- Discovering Knowledge and Modelling Systems using Granular Computing and Neurofuzzy Structures. European Symposium on Nature-Inspired Smart Information Systems. Albufeira, Portugal, 3 October 2005 - 5 October 2005.
- An Entropy-based Uncertainty Measure for Developing Granular Models. An Entropy-based Uncertainty Measure for Developing Granular Models, 14 November 2020 - 15 November 2020. View this article in WRRO
- Predicting near-field specific impulse distributions using machine learning. Proceedings of The 18th International Symposium for the Interaction of Munitions with Structures (18th ISIEMS). Panama City Beach, Florida, USA View this article in WRRO
- Information Fusion using Granular Computing Neural-Fuzzy Networks and Expert Knowledge. ECC'07 European Control Conference. Kos, Greece, 2 July 2007 - 5 July 2007.
- Granular computing and evolutionary fuzzy modelling for mechanical properties of alloy steels. 16th IFAC World Congress. Prague, Czech Republic, 4 July 2005 - 8 July 2005.
- A new Diversity Performance Indicator for Many - Objective Optimisation Problems. Proceedings of the IEEE Congress on Evolutionary Computation
- A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation. Proceedings of the IEEE Congress on Evolutionary Computation, 28 June 2021 - 1 July 2021.
- Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. Proceedings of the International Joint Conference on Neural Networks, 18 July 2021 - 22 July 2021.
Patents
- Neuro-Fuzzy Systems. WO/2006/103451 Appl. 01 Jan 1970.
Preprints
- Real-time object detection and robotic manipulation for agriculture
using a YOLO-based learning approach.
- A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy, arXiv.
- Hyaluronan nanoscale clustering and Hyaluronan synthase 2 expression are linked to the invasion of child fibroblasts and infantile fibrosarcoma in vitro and in vivo, Research Square Platform LLC.
- Mental Workload Estimation Using Wireless EEG Signals, Cold Spring Harbor Laboratory.
- Synchrotron imaging derived relationship between process parameters and build quality for directed energy deposition additively manufactured IN718. Additive Manufacturing Letters, 6.
- Grants
-
Current Grants
- Diode area melting - a novel re-configurable multi-laser approach for efficient additive manufacturing with enhanced thermal process control, RCUK, 01/06/2022 - 30/11/2024, £629,880, as Co-PI
- NanoMan: Self-Optimising Nanoscale Manufacturing Platforms for Achieving Multiscale Precision, RCUK, 13/01/2022 - 12/01/2025, £1,432,279, as Co-PI
- Responsive Manufacturing of High Value Thin to Thick Films, RCUK, 01/09/2021 - 31/08/2024, £2,025,997, as Co-PI
- DAM: Developing Design for Additive Manufacturing, Innovate UK, 01/12/2018 - 30/11/2022, £930,941, as Co-PI
- Integradde, EU H2020, 01/10/2018 - 31/03/2023, £694,628, as Co-PI
- MAPP: EPSRC Future Manufacturing Hub in Manufacture using Advanced Powder Processes, RCUK, 01/10/2016 - 30/09/2023, £6,776,372, as Co-PI
Previous Grants
- AIRLIFT: Additive IndustrRiaLIsation for Future Technology), Innovate UK, 01/12/2018 - 30/11/2023, £545,174, as Co-PI
- Machine Learning digital twin for defect-free additive manufacturing, Research England, 01/02/2022 - 30/06/2022, £29,551, as Co-PI
- Materials 4.0, RCUK, 01/01/2022 - 31/03/2022, £54,647, as PI
- CMAC Feasibility Study, RCUK, 01/10/2021 - 30/09/2022, £59,982, as PI
- VULCAN, Innovate UK, 01/11/2019 - 31/01/2022, £334,563, as PI
- Using Machine learning to enable feedback controlled manufacture of self-assembled patterned materials, RCUK, 30/09/2019 - 28/03/2022, £252,938, as Co-PI
- TACDAM: Tailorable & Adaptive Connected Digital Additive Manufacturing, RCUK, 01/01/2017 - 31/12/2018, £221,611, as PI
- MIRIAM: Machine Intelligence for Radically Improved Additive Manufacturing, Innovate UK, 01/10/2017 - 31/03/2019, £261,312, as Co-PI
- Integrated machine-part multi-objective optimisation for powder manufacturing, RCUK, 01/11/2016 - 3103/2017, £40,000, as PI
- Teaching activities
-
- ACS6402, Industry Training Programme in Advanced Manufacturing (module leader)
- ACS6403, Industry Training Programme in Computational Intelligence (module leader)