Professor George Panoutsos
MSc, PhD, FHEA
Department of Automatic Control and Systems Engineering
Faculty Director for Research and Innovation - Faculty of Engineering, Professor of Computational Intelligence

+44 114 222 5130
Full contact details
Department of Automatic Control and Systems 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 £2M from the UK EPSRC, Innovate UK, EU Horizon 2020 and direct industry funding, as well as over 60 research publications in theoretical as well as applied contributions in the areas of computational intelligence, data-driven modelling, optimisation, 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 infrastructure.
- Research interests
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- Interpretable Machine Learning
- Computational Intelligence (CI) and Artificial Intelligence (AI)
- Granular Computing (GrC) and Computing with Words
- Incremental learning – Smart Adaptive Systems
- Data mining, classification and pattern recognition
- Manufacturing systems
- Process monitoring and optimisation, decision making
- Data-driven process-part quality assurance and forecasting of defects, manufacturing informatics
- applications: additive manufacturing (3D printing), laser-based welding and cladding, friction stir welding, steel making
- Biomedical intelligent systems and Decision Support in healthcare
- Decision support and data-driven modelling
- Personalised therapy, therapy optimisation
- applications: wearable devices, sleep disorders, cancer prognosis, ICU decision support
Recent research awards and projects
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2019-2021, Innovate UK, 'VULCAN' Data efficient process-part monitoring and control for Electron Beam Melting using Machine Learning (PI, £268k)
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2019, UoS ACSE pump-prime fund, A phenotypical knowledge-based image classifier for identification of novel anti-metastasis drugs (PI, £2k)
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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
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Journal articles
- 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 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.
- 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.
- 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.
- 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.
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).
- The Assessment of Heart Rate Variability (HRV) and Task Load Index (TLI) as Physiological Markers for Physical Stress, IFMBE Proceedings (pp. 146-149). Springer Berlin Heidelberg
- An incremental learning structure using granular computing and model fusion with application to materials processing (pp. 139-153).
Conference proceedings papers
- 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
- 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
- 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 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.
- 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
- 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)
- 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 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)
- 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)
- An incremental learning structure using granular computing and model fusion with application to materials processing. IEEE Intelligent Systems (pp 367-372)
- View this article in WRRO
- View this article in WRRO
Patents
- Data-driven granular computing systems and applications. Granular Computing. View this article in WRRO
- Teaching activities
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- ACS6101, Foundations of Control Systems, module leader
- ACS6501, Foundations of Robotics (teaching: systems modelling part)
- ACS6402, Industry Training Programme: Advanced Manufacturing (module leader)
- ACS6403, Industry Training Programme: Computational Intelligence (module leader)