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

g.panoutsos@sheffield.ac.uk
+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 4DW

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 £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

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

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

Su R, Panoutsos G & Yue X (2020) Data-driven granular computing systems and applications. Granular Computing. View this article in WRRO
Katzman M, Mycroft W, Tammas-Williams S, Hernandez-Nava E, Panoutsos G, Todd I & Kadirkamanathan V (2020) A data-driven approach for predicting printability in metal additive manufacturing processes. Journal of Intelligent Manufacturing. View this article in WRRO
Rubio-Solis A, Panoutsos G, Beltran-Perez C & Martinez-Hernandez U (2020) A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors. Neurocomputing. View this article in WRRO
Atwya M & Panoutsos G (2019) Transient thermography for flaw detection in friction stir welding : a machine learning approach. IEEE Transactions on Industrial Informatics. View this article in WRRO
Snell R, Tammas-Williams S, Chechik L, Lyle A, Hernández-Nava E, Boig C, Panoutsos G & Todd I (2019) Methods for rapid pore classification in metal additive manufacturing. JOM Journal of the Minerals, Metals and Materials Society. View this article in WRRO
Baraka A & Panoutsos G (2019) Long-term Learning for Type-2 Neural-Fuzzy Systems. Fuzzy Sets and Systems, 368, 59-81. View this article in WRRO
Shi C, Panoutsos G, Luo B, Liu H, Li B & Lin X (2019) 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
Rubio-Solis A, Melin P, Martinez-Hernandez U & Panoutsos G (2019) 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
Gonzalez FA, Badilita A-M, Baker A, Cho Y-H, Dhot N, Fedun V, Hare C, He T, Hobbs M, Javed M , Livesey H et al (2017) Project SunbYte: solar astronomy on a budget. Astronomy and Geophysics, 58(2), 2.24-2.25. View this article in WRRO
Baraka A, Panoutsos G & Cater S (2015) A real-time quality monitoring framework for steel friction stir welding using computational intelligence. Journal of Manufacturing Processes, 20(P1), 137-148.
Panoutsos G, Baraka A & Cater S (2015) A real-time quality monitoring framework for steel friction stir welding. Journal of Manufacturing Processes, 20(1), 137-148.
Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Liu X (2015) 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
De Alejandro Montalvo J, Panoutsos G, Mahfouf M & Catto JW (2015) 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.
Solis AR & Panoutsos G (2014) Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework. IEEE Transactions on Fuzzy Systems, 23(2), 457-473.
Solis AR & Panoutsos G (2013) Granular computing neural-fuzzy modelling: A neutrosophic approach. APPLIED SOFT COMPUTING, 13(9), 4010-4021.
Samuri SM, Panoutsos G, Mahfouf M, Mills GH, Denai M, Mills GH & Brown BH (2013) Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT), 273, 191.
Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Norris I (2012) 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.
Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Norris I (2012) 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.
Samuri SM, Panoutsos G, Mahfouf M, Mills GH, Denaï M & Brown BH (2011) Towards a Patient-Specific Model of Lung Volume Using Absolute Electrical Impedance Tomography (aEIT). Communications in Computer and Information Science, 273, 191-204.
Yang YY, Mahfouf M & Panoutsos G (2011) Probabilistic characterisation of model error using Gaussian mixture model-With application to Charpy impact energy prediction for alloy steel. Control Engineering Practice.
Yang YY, Mahfouf M & Panoutsos G (2011) 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.
Yang YY, Mahfouf M & Panoutsos G (2011) Development of a parsimonious GA-NN ensemble model with a case study for Charpy impact energy prediction. Advances in Engineering Software.
Zhang Q, Mahfouf M, Yates JR, Pinna C, Panoutsos G, Boumaiza S, Greene RJ & de Leon L (2011) 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.
Wang A, Mahfouf M, Mills GH, Panoutsos G, Linkens DA, Goode K, Kwok HF & Denaï M (2010) 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.
Ting CH, Mahfouf M, Nassef A, Linkens DA, Panoutsos G, Nickel P, Roberts AC & Hockey GRJ (2010) 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.
Panoutsos G & Mahfouf M (2010) Modelling steel heat treatment data using granular data compression and multiple granularity modelling.. IJGCRSIS, 1, 382-392.
Panoutsos G & Mahfouf M (2010) A neural-fuzzy modelling framework based on granular computing: Concepts and applications. Fuzzy Sets and Systems, 161(21), 2808-2830.
Denaï MA, Mahfouf M, Mohamad-Samuri S, Panoutsos G, Brown BH & Mills GH (2010) 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
Wang A, Mahfouf M, Mills GH, Panoutsos G, Linkens DA, Goode K, Kwok HF & Denaï M (2010) 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.
Mahfouf M, Gama MA & Panoutsos G (2009) "right-first-time" production: A reality or a myth?. Materials and Manufacturing Processes, 24(1), 78-82.
Tunney DR, Panoutsos G, Al-Jabary T, Mahfouf M, Brown BH & Mills GH (2008) 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.
Panoutsos G, Mills GH, Wang A, Mahfouf M & Brown BH (2007) Initial comparisons of absolute electrical impedance tomography (EIT) lung volume estimates with spirometry. BRITISH JOURNAL OF ANAESTHESIA, 98(2), 294P-294P.
Panoutsos G, Gonzalez-Rodriguez A, Mahfouf M & Beamish K () A real-time multi-objective optimisation framework for Friction Stir Welding. Engineering Applications of Artificial Intelligence.

Chapters

Xi Z & Panoutsos G (2020) 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
Rubio-Solis A, Baraka A, Panoutsos G & Thornton S (2018) Data-Driven Interval Type-2 Fuzzy Modelling for the Classification of Imbalanced Data, Studies in Systems, Decision and Control (pp. 37-51).
Nassef A, Mahfouf M, Linkens DA, Elsamahy E, Roberts A, Nickel P, Hockey GRJ & Panoutsos G (2009) 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
Panoutsos G & Mahfouf M (2008) An incremental learning structure using granular computing and model fusion with application to materials processing (pp. 139-153).

Conference proceedings papers

Xi Z & Panoutsos G (2019) 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
Yusuf HA, Panoutsos G & Nageswaran C (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
Yusuf HA, Panoutsos G & Nageswaran C (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
Rubio-Solis A, Martinez-Hernandez U & Panoutsos G (2018) 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
Rubio-Solis A & Panoutsos G (2017) 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
Martinez-Hernandez U, Rubio-Solis A, Panoutsos G & Dehghani-Sanij AA (2017) 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
Huse M, Panoutsos G, Emde B, Rubio Solis A, Hermsdorf J & Kaierle S (2017) 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.
Baraka A, Panoutsos G & Cater S (2016) 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
Solis AR & Panoutsos G (2016) 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
Rubio-Solis A, Panoutsos G & Thornton S (2016) 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.
Tzagarakis G & Panoutsos G (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
Gonzalez-Rodriguez A, Panoutsos G, Mahfouf M & Beamish K (2014) 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.
Baraka A, Panoutsos G, Mahfouf M & Cater S (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.
De Alejandro Montalvo J, Panoutsos G, Mahfouf M & Catto JW (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.
Baraka A, Gonzalez-Rodriguez AA, Panoutsos G, Beamish K & Cater S (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.
Solis, A.R. & Panoutsos G (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.
Panoutsos G, Mumtaz, K. & Ghadbeigi, H. (2013) 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.
De Alejandro Montalvo J, Panoutsos G, Mahfouf M & Catto JW (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)
Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Norris I (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)
Rattadilok P, Mahfouf M, Ross JJ, Mills GH, Panoutsos G, Zeghbib A & Denaï M (2012) Suggestive therapeutic pathways using hyper-heuristics. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 45(18) (pp 397-402)
Zhang G, Mahfouf M, Panoutsos G & Wang S (2012) A multi-objective particle swarm optimization algorithm with a dynamic hypercube archive, mutation and population competition. 2012 IEEE Congress on Evolutionary Computation, CEC 2012
Panoutsos G, Zeghbib A, Ross J, Mills G, Mahfouf M, Denai M & Samuri S (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.
Gonzalez-Rodriguez AA, Panoutsos G, Sinclair K, Mahfouf M & Beamish K (2012) Model-based process monitoring in Friction Stir Welding. 9th International Symposium on Friction Stir Welding. Alabama, USA, 15 May 2012 - 17 May 2012.
Murray PB, Rossiter JA & Panoutsos G (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
Panoutsos G, Ishaque O, Mahfouf M & Tipi L (2011) Knowledge Management System IMMPETUS (KMSI) - Connoisseur. 9th International Symposium on Friction Stir Welding. Alabama, USA, 23 October 2011 - 29 October 2011.
Panoutsos G, Zhang Q, Mahfouf M, Beamish K & Norris I (2011) Wavelet analysis for assessing friction stir welding quality for aluminium AA5083. Euromat '11. Montpellier, France, 12 September 2011 - 15 September 2011.
Gaffour SA, Mahfouf M, Panoutsos G & Chen J (2011) 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)
Yang YY, Mahfouf M & Panoutsos G (2011) 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)
Zhang Q, Mahfouf M, Yates JR, Pinna C, Panoutsos G, Boumaiza S, Greene RJ & De Leon L (2011) 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)
Zhang G, Mahfouf M, Zhang Q, Gaffour SA, Yates J, Soberanis SA, Pinna C & Panoutsos G (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)
Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Norris I (2011) 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)
Yang YY, Mahfouf M, Panoutsos G, Zhang Q & Thornton S (2011) 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)
Samuri SM, Panoutsos G, Mahfouf M, Mills GH, Denaï M & Brown BH (2011) 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)
Panoutsos G, Mahfouf M, Mills GH & Brown BH (2010) 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)
Mohammad-Sammuri S, Denai MA, Panoutsos G, Mahfouf M, Linkens D, Meekings T, Mills GH & Brown BH (2009) 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.
Nassef A, Mahfouf M, Linkens DA, Elsamahy E, Roberts A, Nickel P, Hockey GRJ & Panoutsos G (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)
Wang A, Panoutsos G, Mahfouf M & Mills GH (2008) Goal-Directed Therapy for General ICU Patients Using Aggregated Multi-Objective Optimisation. IFAC Proceedings Volumes, Vol. 41(2) (pp 9063-9068)
Wang A, Panoutsos G, Mahfouf M & Mills G (2008) Goal-directed therapy for general ICU patients using aggregated multi-objective optimisation. IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 17(1 PART 1)
Panoutsos G, Tunney DR, Mills GH, Al-Jabary T, Mahfouf M & Brown BH (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.
Panoutsos G, Mahfouf M & Gama M (2008) 'Right First-time' production of materials: A reality or a myth?. Proceedings of NGMS'08. West Bengal, India, 9 January 2008 - 11 January 2008.
Panoutsos G, Tunney DR, Billings CG, Mahfouf M, Brown BH & Mills GH (2008) 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.
Panoutsos G & Mahfouf M (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)
Panoutsos G & Mahfouf M (2007) 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.
Wang A, Panoutsos G, Mahfouf M & Mills GH (2007) 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)
Panoutsos G, Mahfouf M, Brown BH & Mills GH (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)
Panoutsos G, Mills GH, Wang A, Mahfouf M & Brown BH (2006) 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.
Panoutsos G & Mahfouf M (2006) An incremental learning structure using granular computing and model fusion with application to materials processing. IEEE Intelligent Systems (pp 367-372)
Panoutsos G & Mahfouf M (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)
Panoutsos G & Mahfouf M (2005) 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.
Solis A-R & Panoutsos G () A Multilayer Fuzzy Extreme Learning Machine for Regression and Classification Problems. 2019 IEEE International Conference on Fuzzy Systems
Panoutsos G, Mahfouf M, Beamish K & Norris I () 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.
Panoutsos G, Mahfouf M, Gaffour S & Zhang Q () 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.
Panoutsos G & Mahfouf M () 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.
Pannell J, Rigby S, Panoutsos G, Tyas A, Cooke SB & Pope DJ () 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
Panoutsos G & Mahfouf M () Information Fusion using Granular Computing Neural-Fuzzy Networks and Expert Knowledge. ECC'07 European Control Conference. Kos, Greece, 2 July 2007 - 5 July 2007.
Panoutsos G & Mahfouf M () 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.

Patents

Mahfouf M, Linkens DA, Panoutsos G & Chen MY () Neuro-Fuzzy Systems. WO/2006/103451 Appl. 01 Jan 1970.

Teaching activities

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)