Professor George Panoutsosy-Test
BEng(Hons), MSc, PhD, FHEA, MIET, MIEEE
School of Electrical and Electronic Engineering
Head of School
Professor of Computational Intelligence
g.panoutsos@sheffield.ac.uk
Amy Johnson Building
Full contact details
Professor George Panoutsosy-Test
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Profile
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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
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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.
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.
- Publications
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Journal articles
- Bridging simulation and practice in additive manufacturing: Reinforcement learning for electron beam melting control. Journal of Manufacturing Processes, 156(Part B), 121-135. View this article in WRRO
- The relative contributions of subjective and musical factors in music for sleep. PLOS One, 20(8). View this article in WRRO
- Surrogate-assisted optimization of roll-to-roll slot die coating. Scientific Reports, 15. View this article in WRRO
- TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models.. CoRR, abs/2507.10643.
- Testing on continuous production of mefenamic acids—Design of experiment through simulation and process optimisation. European Journal of Pharmaceutical Sciences, 210, 107102-107102.
- Self-driving laboratory platform for many-objective self-optimisation of polymer nanoparticle synthesis with cloud-integrated machine learning and orthogonal online analytics.. Polymer Chemistry, 16(12), 1355-1364. View this article in WRRO
- Information-theoretic sensor placement for large sewer networks. Water Research, 268(Pt B). View this article in WRRO
- Multi-layer process control in selective laser melting: a reinforcement learning approach. Journal of Intelligent Manufacturing. View this article in WRRO
- A novel pipeline employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy. Computers in Biology and Medicine, 181. View this article in WRRO
- Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Computing and Applications, 36(30), 18841-18862. View this article in WRRO
- TabNet: Locally interpretable estimation and prediction for advanced proton exchange membrane fuel cell health management. Electronics, 13(7). View this article in WRRO
- Real-Time Object Detection and Robotic Manipulation for Agriculture Using a YOLO-Based Learning Approach. 2024 IEEE International Conference on Industrial Technology (ICIT), 1-6.
- In-situ process control strategies for selective laser melting. IFAC-PapersOnLine, 56(2), 6594-6599. View this article in WRRO
- In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach. Journal of Intelligent Manufacturing, 35(6), 2719-2742. View this article in WRRO
- Stability in Reinforcement Learning Process Control for Additive Manufacturing. IFAC-PapersOnLine, 56(2), 4719-4724.
- Synchrotron imaging derived relationship between process parameters and build quality for directed energy deposition additively manufactured IN718. Additive Manufacturing Letters, 6.
- A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.. CoRR, abs/2309.00911.
- Application of transfer learning for the prediction of blast impulse. International Journal of Protective Structures, 14(2), 242-262. View this article in WRRO
- 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. View this article in WRRO
- A novel approach to PFC for nonlinear systems. European Journal of Control, 68. View this article in WRRO
- Physics-informed regularisation procedure in neural networks : an application in blast protection engineering. International Journal of Protective Structures, 13(3), 555-578. View this article in WRRO
- Structure optimization of prior-knowledge-guided neural networks. Neurocomputing, 491, 464-488.
- Predicting specific impulse distributions for spherical explosives in the extreme near-field using a Gaussian function. International Journal of Protective Structures, 12(4), 437-459. View this article in WRRO
- Data-driven granular computing systems and applications. Granular Computing, 6(1), 1-2.
- A data-driven approach for predicting printability in metal additive manufacturing processes. Journal of Intelligent Manufacturing, 31(7), 1769-1781. View this article in WRRO
- Transient thermography for flaw detection in friction stir welding : a machine learning approach. IEEE Transactions on Industrial Informatics, 16(7), 4423-4435. 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.
- Methods for rapid pore classification in metal additive manufacturing. JOM Journal of the Minerals, Metals and Materials Society, 72(1), 101-109. 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.
- General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model. IEEE Transactions on Fuzzy Systems, 27(2), 333-347.
- 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.
- Probabilistic characterisation of model error using Gaussian mixture model-With application to Charpy impact energy prediction for alloy steel. Control Engineering Practice.
- Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT). Communications in Computer and Information Science, 273, 191-204.
- Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction. Advances in Engineering Software.
- 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.
- 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.
- Modelling steel heat treatment data using granular data compression and multiple granularity modelling.. Int. J. Granul. Comput. Rough Sets Intell. Syst., 1, 382-392.
- A neural-fuzzy modelling framework based on granular computing: Concepts and applications. Fuzzy Sets and Systems, 161(21), 2808-2830.
- 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.
- 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.
- 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.
- A real-time multi-objective optimisation framework for Friction Stir Welding. Engineering Applications of Artificial Intelligence.
Book chapters
- A Fuzzy Logic-Based Framework for Statistical Process Control in Additive Manufacturing, Advances in Intelligent Systems and Computing (pp. 61-72). Springer Nature Switzerland
- Improving the Explainability of Multi-criteria Decision-Making Using Neutrosophic Logic, Advances in Intelligent Systems and Computing (pp. 551-562). Springer Nature Switzerland
- Overlapping Granular Clustering: Application in Fuzzy Rule-Based Classification, Lecture Notes in Networks and Systems (pp. 84-93). Springer Nature Switzerland
- Interpretable Convolutional Neural Networks Using a Rule-Based Framework for Classification, Studies in Computational Intelligence (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
- Interpretability Indices for Type-2 Fuzzy Logic Systems. 2025 6th International Conference on Artificial Intelligence and Data Sciences (AiDAS) (pp 7-11), 2 September 2025 - 3 September 2025.
- A New Framework for Visualising Diversity Properties of Pareto Front Approximations in Many-objective Optimisation. Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp 447-450)
- Constrained Reinforcement Learning for Advanced Control in Powder Bed Fusion*. 2025 European Control Conference (ECC) (pp 1828-1835), 24 June 2025 - 27 June 2025.
- Output Tracking for Uncertain Time-Delay Systems via Robust Reinforcement Learning Control. 2024 43rd Chinese Control Conference (CCC) (pp 2219-2226), 28 July 2024 - 31 July 2024.
- Reinforcement learning-based output stabilization control for nonlinear systems with generalized disturbances. 2024 IEEE International Conference on Industrial Technology (ICIT) (pp 1-6). Bristol, United Kingdom, 25 March 2024 - 25 March 2024. View this article in WRRO
- Initial investigation of online control system for selective laser melting process: multi-layer level. 2024 UKACC 14th International Conference on Control (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. 2024 UKACC 14th International Conference on Control (CONTROL). Winchester, UK, 10 April 2024 - 10 April 2024. View this article in WRRO
- A reinforcement learning-based approach for optimal output tracking in uncertain nonlinear systems with mismatched disturbances. 2024 UKACC 14th International Conference on Control (CONTROL) (pp 169-174). Winchester, United Kingdom, 10 April 2024 - 10 April 2024. View this article in WRRO
- Real-Time Object Detection and Robotic Manipulation for Agriculture Using a YOLO-Based Learning Approach.. ICIT (pp 1-6)
- Advances in Computational Intelligence Systems - Contributions Presented at the 21st UK Workshop on Computational Intelligence, UKCI 2022, September 7-9, 2022, Sheffield, UK. UKCI, Vol. 1454
- Reinforcement Learning for Multiple-Input Multiple-Output Control in Metal Additive Manufacturing. 2023 IEEE International Conference on Networking, Sensing and Control (ICNSC) (pp 1-6), 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 (pp 423-426)
- Fuzzy logic control in metal additive manufacturing: a literature review and case study. IFAC-PapersOnLine (pp 37-42). Montreal, Canada, 15 August 2022 - 15 August 2022. View this article in WRRO
- Exploiting Laguerre polynomials and steady-state estimates to facilitate tuning of PFC. 20th European Control Conference (ECC) Proceedings (pp 1641-1646). London, UK, 12 July 2022 - 12 July 2022. View this article in WRRO
- A novel approach to PFC for nonlinear systems. European Journal of Control. London, UK, 12 July 2022 - 12 July 2022. View this article in WRRO
- Self-tuning multi-model statistical process control for process monitoring in additive manufacturing. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (pp 1049-1054). Istanbul, Turkey, 17 May 2022 - 17 May 2022. View this article in WRRO
- Predictive functional control for difficult second-order dynamics with a simple pre-compensation strategy. Proceedings of 2022 UKACC 13th International Conference on Control (CONTROL) (pp 12-17). Plymouth, UK, 20 April 2022 - 20 April 2022. View this article in WRRO
- Predictive functional control for difficult dynamic processes with a simplified tuning mechanism. Proceedings of 2022 UKACC 13th International Conference on Control (CONTROL) (pp 130-135). Plymouth, UK, 20 April 2022 - 20 April 2022. 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 - 29 June 2022. View this article in WRRO
- Fuzzy multi-criteria decision-making: example of an explainable classification framework. Advances in Computational Intelligence Systems (UKCI 2021), Vol. 1409 (pp 15-26). Aberystwyth, United Kingdom, 8 September 2021 - 8 September 2021. View this article in WRRO
- An evolving feature weighting framework for granular fuzzy logic models. Advances in Computational Intelligence Systems (UKCI 2021), Vol. 1409 (pp 3-14). Aberystwyth, UK, 8 September 2021 - 8 September 2021. View this article in WRRO
- Variance stabilised optimisation of neural networks: a case study in additive manufacturing. Proceedings of 2021 International Joint Conference on Neural Networks (IJCNN). Virtual conference (Shenzhen, China), 18 July 2021 - 18 July 2021. View this article in WRRO
- A new diversity performance indicator for many-objective optimisation problems. Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC) (pp 144-152). Kraków, Poland (virtual conference), 28 June 2021 - 28 June 2021. View this article in WRRO
- A visualisation method for Pareto Front approximations in many-objective optimisation. Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC) (pp 1929-1937). Kraków, Poland (virtual conference), 28 June 2021 - 28 June 2021. View this article in WRRO
- Control of selective laser melting processes: existing efforts, challenges, and future opportunities. Proceedings of the 29th Mediterranean Conference on Control and Automation (MED 2021) (pp 89-94). Puglia, Italy, 22 June 2021 - 22 June 2021. View this article in WRRO
- An entropy-based uncertainty measure for developing granular models. Proceedings of 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI) (pp 73-77). Stockholm, Sweden (Online conference), 14 November 2020 - 14 November 2020. View this article in WRRO
- Mental Workload Estimation using Wireless EEG Signals. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (pp 200-207), 11 February 2021 - 13 February 2021.
- Mental Workload Estimation using Wireless EEG Signals. Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (pp 200-207), 11 February 2021 - 13 February 2021.
- A physics-guided machine learning approach to understanding loading distributions from explosive events. 22nd IStructE Young Researchers Conference. Virtual conference, 4 September 2020 - 4 September 2020. View this article in WRRO
- 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) (pp 1-8), 19 July 2020 - 24 July 2020.
- 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, 21 October 2019 - 21 October 2019. View this article in WRRO
- Interpretable machine learning: Convolutional neural networks with RBF fuzzy logic classification rules. 2018 International Conference on Intelligent Systems (pp 448-454). Funchal, Madeira, Portugal, 25 September 2018 - 25 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). Rio de Janeiro, Brazil, 8 July 2018 - 8 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. Proceedings of the IEEE International Conference on Fuzzy Systems 2017. Naples, Italy, 9 July 2017 - 9 July 2017. 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.
- Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process. IFAC-PapersOnLine, Vol. 49(20) (pp 143-148). Vienna, Austria View this article in WRRO
- Iterative Information Granulation for Novelty Detection in Complex Datasets. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Vancouver, Canada 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) (pp 302-307), 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) (pp 401-407). Vancouver, BC, Canada, 24 July 2016 - 24 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.
- 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.
- A Shannon entropy-based conflict measure for enhancing granular computing-based information processing. 2014 IEEE International Conference on Granular Computing (GrC) (pp 13-18), 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.
- 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)
- 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.
- 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 IFAC Papersonline, Vol. 17(1 PART 1)
- Goal-Directed Therapy for General ICU Patients Using Aggregated Multi-Objective Optimisation. IFAC Proceedings Volumes, Vol. 41(2) (pp 9063-9068)
- 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)
- An incremental learning structure using granular computing and model fusion with application to materials processing. IEEE Intelligent Systems (pp 367-372)
- 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. 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.
- A Multilayer Fuzzy Extreme Learning Machine for Regression and Classification Problems. 2019 IEEE International Conference on Fuzzy Systems
- 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
- Information Fusion using Granular Computing Neural-Fuzzy Networks and Expert Knowledge. ECC'07 European Control Conference. Kos, Greece, 2 July 2007 - 5 July 2007.
- 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.
- 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.
- 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.
Patents
- Neuro-Fuzzy Systems. WO/2006/103451 Appl. 01 Jan 1970.
Preprints
- Disturbance observer-based tracking control for roll-to-roll slot die coating systems under gap and pump rate disturbances, arXiv.
- TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models, arXiv.
- Real-time object detection and robotic manipulation for agriculture using a YOLO-based learning approach, arXiv.
- 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.
- Bridging simulation and practice in additive manufacturing: Reinforcement learning for electron beam melting control. Journal of Manufacturing Processes, 156(Part B), 121-135. View this article in WRRO
- Grants
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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
- NanoMan: Self-Optimising Nanoscale Manufacturing Platforms for Achieving Multiscale Precision, RCUK, 13/01/2022 - 12/01/2025
- Responsive Manufacturing of High Value Thin to Thick Films, RCUK, 01/09/2021 - 31/08/2024
- DAM: Developing Design for Additive Manufacturing, Innovate UK, 01/12/2018 - 30/11/2022
- Integradde, EU H2020, 01/10/2018 - 31/03/2023
- MAPP: EPSRC Future Manufacturing Hub in Manufacture using Advanced Powder Processes, RCUK, 01/10/2016 - 30/09/2023
Previous Grants
- AIRLIFT: Additive IndustrRiaLIsation for Future Technology), Innovate UK, 01/12/2018 - 30/11/2023
- Machine Learning digital twin for defect-free additive manufacturing, Research England, 01/02/2022 - 30/06/2022
- Materials 4.0, RCUK, 01/01/2022 - 31/03/2022
- Teaching activities
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- ELE420 Industrial training programme (ITP) in Advanced Manufacturing
- ELE428 Industrial Training Programme (ITP) in Computational Intelligence
- Professional activities and memberships
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- Co-founder of Phlux Technology