Professor George Panoutsos

MSc, PhD, FHEA

School of Electrical and Electronic Engineering

Head of School

Professor of Computational Intelligence

Professor George Panoutsos
Profile picture of Professor George Panoutsos
g.panoutsos@sheffield.ac.uk
+44 114 222 5130
Amy Johnson Building

Full contact details

Professor George Panoutsos
School of Electrical and Electronic 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

  • Kirk R, Panoutsos G, van de Werken M & Timmers R (2025) . PLOS One, 20(8).
  • Passmore C, Wu KE, Howse JR, Panoutsos G & Ebbens SJ (2025) . Scientific Reports, 15.
  • Tang Y, Esnaola I & Panoutsos G (2025) TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models.. CoRR, abs/2507.10643.
  • Wu KE, Brown CJ, Robertson M, Johnston BF, Lloyd R & Panoutsos G (2025) . European Journal of Pharmaceutical Sciences, 210, 107102-107102.
  • Knox ST, Wu KE, Islam N, O'Connell R, Pittaway PM, Chingono KE, Oyekan J, Panoutsos G, Chamberlain TW, Bourne R & Warren NJ (2025) . Polymer Chemistry, 16(12), 1355-1364.
  • Crowley G, Tait S, Panoutsos G, Speight V & Esnaola I (2025) . Water Research, 268(Pt B).
  • Vagenas S, Al-Saadi T & Panoutsos G (2024) . Journal of Intelligent Manufacturing.
  • Mamalakis M, Macfarlane SC, Notley SV, Gad AKB & Panoutsos G (2024) . Computers in Biology and Medicine, 181.
  • Mamalakis M, Banerjee A, Ray S, Wilkie C, Clayton RH, Swift AJ, Panoutsos G & Vorselaars B (2024) . Neural Computing and Applications, 36(30), 18841-18862.
  • Zhang B, Jin X, Liang W, Chen X, Li Z, Panoutsos G, Liu Z & Tang Z (2024) . Electronics, 13(7).
  • Zhao H, Tang Z, Li Z, Dong Y, Si Y, Lu M & Panoutsos G (2024) . 2024 IEEE International Conference on Industrial Technology (ICIT), 1-6.
  • Al-saadi T, Rossiter JA & Panoutsos G (2023) . IFAC-PapersOnLine, 56(2), 6594-6599.
  • Atwya M & Panoutsos G (2023) . Journal of Intelligent Manufacturing, 35(6), 2719-2742.
  • Vagenas S & Panoutsos G (2023) . IFAC-PapersOnLine, 56(2), 4719-4724.
  • Notley SV, Chen Y, Thacker NA, Lee PD & Panoutsos G (2023) . Additive Manufacturing Letters, 6.
  • Mamalakis M, Macfarlane SC, Notley SV, Gad AKB & Panoutsos G (2023) A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.. CoRR, abs/2309.00911.
  • Pannell J, Rigby S & Panoutsos G (2023) . International Journal of Protective Structures, 14(2), 242-262.
  • Muda MZ, Solis AR & Panoutsos G (2022) . Expert Systems.
  • Tonge JJ, Notley SV, Dunning MJ, López-Guajardo A, Medcalf JD, Heldin P, Panoutsos G & Gad AKB (2022) . Scientific Reports, 12, 1-10.
  • Rigby S, Pannell J & Panoutsos G (2022) Near-field blast load predictions using machine learning. IAPS ¾Ã²Ý¸£Àûletter, 14.
  • Rossiter J, Aftab MS, Panoutsos G & Gonzalez-Villarreal O (2022) . European Journal of Control, 68.
  • Pannell JJ, Rigby SE & Panoutsos G (2022) . International Journal of Protective Structures, 13(3), 555-578.
  • Atwya M & Panoutsos G (2022) . Neurocomputing, 491, 464-488.
  • Pannell JJ, Panoutsos G, Cooke SB, Pope DJ & Rigby SE (2021) . International Journal of Protective Structures, 12(4), 437-459.
  • Su R, Panoutsos G & Yue X (2021) . Granular Computing, 6(1), 1-2.
  • Mycroft W, Katzman M, Tammas-Williams S, Hernandez-Nava E, Panoutsos G, Todd I & Kadirkamanathan V (2020) . Journal of Intelligent Manufacturing, 31(7), 1769-1781.
  • Atwya M & Panoutsos G (2020) . IEEE Transactions on Industrial Informatics, 16(7), 4423-4435.
  • Rubio-Solis A, Panoutsos G, Beltran-Perez C & Martinez-Hernandez U (2020) . Neurocomputing, 389, 42-55.
  • Snell R, Tammas-Williams S, Chechik L, Lyle A, Hernández-Nava E, Boig C, Panoutsos G & Todd I (2020) . JOM Journal of the Minerals, Metals and Materials Society, 72(1), 101-109.
  • Baraka A & Panoutsos G (2019) . Fuzzy Sets and Systems, 368, 59-81.
  • Shi C, Panoutsos G, Luo B, Liu H, Li B & Lin X (2019) . IEEE Transactions on Industrial Electronics, 66(5), 3794-3803.
  • Rubio-Solis A, Melin P, Martinez-Hernandez U & Panoutsos G (2019) . IEEE Transactions on Fuzzy Systems, 27(2), 333-347.
  • 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) . Astronomy and Geophysics, 58(2), 2.24-2.25.
  • 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.
  • Baraka A, Panoutsos G & Cater S (2015) . Journal of Manufacturing Processes, 20(P1), 137-148.
  • Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Liu X (2015) . Science and Technology of Welding and Joining, 20(7), 607-615.
  • De Alejandro Montalvo J, Panoutsos G, Mahfouf M & Catto JW (2015) . International Journal of Machine Learning and Computing, 5(1), 62-67.
  • Solis AR & Panoutsos G (2014) . IEEE Transactions on Fuzzy Systems, 23(2), 457-473.
  • Solis AR & Panoutsos G (2013) . APPLIED SOFT COMPUTING, 13(9), 4010-4021.
  • Samuri SM, Panoutsos G, Mahfouf M, Mills GH, Denai M, Mills GH & Brown BH (2013) , 273, 191.
  • Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Norris I (2012) . Science and Technology of Welding and Joining, 17(8), 672-680.
  • Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Norris I (2012) . Science and Technology of Welding and Joining, 17(8), 681-693.
  • 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.
  • Samuri SM, Panoutsos G, Mahfouf M, Mills GH, Denaï M & Brown BH (2011) . Communications in Computer and Information Science, 273, 191-204.
  • 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.
  • Yang YY, Mahfouf M & Panoutsos G (2011) . Advances in Engineering Software, 42(7), 435-443.
  • Zhang Q, Mahfouf M, Yates JR, Pinna C, Panoutsos G, Boumaiza S, Greene RJ & de Leon L (2011) . 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) . Computer Methods and Programs in Biomedicine, 99(2), 208-217.
  • Panoutsos G & Mahfouf M (2010) . Int. J. Granul. Comput. Rough Sets Intell. Syst., 1, 382-392.
  • Panoutsos G & Mahfouf M (2010) . Fuzzy Sets and Systems, 161(21), 2808-2830.
  • Ting CH, Mahfouf M, Nassef A, Linkens DA, Panoutsos G, Nickel P, Roberts AC & Hockey GRJ (2010) . IEEE Transactions on Systems Man and Cybernetics Part A Systems and Humans, 40(2), 251-262.
  • Denaï MA, Mahfouf M, Mohamad-Samuri S, Panoutsos G, Brown BH & Mills GH (2010) . IEEE Transactions on Information Technology in Biomedicine, 14(3), 641-649.
  • Wang A, Mahfouf M, Mills GH, Panoutsos G, Linkens DA, Goode K, Kwok HF & Denaï M (2010) . Computer Methods and Programs in Biomedicine, 99(2), 195-207.
  • Mahfouf M, Gama MA & Panoutsos G (2009) . 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.

Book chapters

  • Sahin A, Rey P & Panoutsos G (2024) , Advances in Intelligent Systems and Computing (pp. 61-72). Springer Nature Switzerland
  • Yusuf H, Yang K & Panoutsos G (2024) , Advances in Intelligent Systems and Computing (pp. 551-562). Springer Nature Switzerland
  • Muda MZ & Panoutsos G (2024) , Lecture Notes in Networks and Systems (pp. 84-93). Springer Nature Switzerland
  • Xi Z & Panoutsos G (2020) , Studies in Computational Intelligence (pp. 1-24). Springer International Publishing
  • Rubio-Solis A, Baraka A, Panoutsos G & Thornton S (2018) , Studies in Systems Decision and Control (pp. 37-51).
  • Panoutsos G & Mahfouf M (2008) (pp. 139-153).

Conference proceedings

  • Wu KE & Panoutsos G (2025) . Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp 447-450)
  • Vagenas S & Panoutsos G (2025) . 2025 European Control Conference (ECC) (pp 1828-1835), 24 June 2025 - 27 June 2025.
  • Tang Z, Rossiter JA, Jin X, Zhang B & Panoutsos G (2024) . 2024 43rd Chinese Control Conference (CCC) (pp 2219-2226), 28 July 2024 - 31 July 2024.
  • Tang Z, Rossiter JA, Dong Y & Panoutsos G (2024) . 2024 IEEE International Conference on Industrial Technology (ICIT) (pp 1-6). Bristol, United Kingdom, 25 March 2024 - 25 March 2024.
  • Al-saadi T, Rossiter JA & Panoutsos G (2024) . 2024 UKACC 14th International Conference on Control (CONTROL). Winchester, UK, 10 April 2024 - 10 April 2024.
  • Tang Z, Passmore C, Rossiter J, Ebbens S, Dunderdale G & Panoutsos G (2024) . 2024 UKACC 14th International Conference on Control (CONTROL). Winchester, UK, 10 April 2024 - 10 April 2024.
  • Tang Z, Rossiter JA & Panoutsos G (2024) . 2024 UKACC 14th International Conference on Control (CONTROL) (pp 169-174). Winchester, United Kingdom, 10 April 2024 - 10 April 2024.
  • Zhao H, Tang Z, Li Z, Dong Y, Si Y, Lu M & Panoutsos G (2024) Real-Time Object Detection and Robotic Manipulation for Agriculture Using a YOLO-Based Learning Approach.. ICIT (pp 1-6)
  • (2024) 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
  • Grais EM, Notley SV & Panoutsos G (2023) . 2023 IEEE International Conference on Networking, Sensing and Control (ICNSC) (pp 1-6), 25 October 2023 - 27 October 2023.
  • Wu K & Panoutsos G (2023) . Proceedings of the Companion Conference on Genetic and Evolutionary Computation (pp 423-426)
  • Al-Saadi T, Rossiter JA & Panoutsos G (2022) . IFAC-PapersOnLine (pp 37-42). Montreal, Canada, 15 August 2022 - 15 August 2022.
  • Rossiter JA, Aftab MS & Panoutsos G (2022) . 20th European Control Conference (ECC) Proceedings (pp 1641-1646). London, UK, 12 July 2022 - 12 July 2022.
  • Rossiter JA & Aftab MS (2022) A novel approach to PFC for nonlinear systems. European Journal of Control. London, UK, 12 July 2022 - 12 July 2022.
  • Sahin A, Rey P & Panoutsos G (2022) . 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (pp 1049-1054). Istanbul, Turkey, 17 May 2022 - 17 May 2022.
  • Aftab MS, Rossiter JA & Panoutsos G (2022) . Proceedings of 2022 UKACC 13th International Conference on Control (CONTROL) (pp 12-17). Plymouth, UK, 20 April 2022 - 20 April 2022.
  • Aftab MS & Rossiter JA (2022) . Proceedings of 2022 UKACC 13th International Conference on Control (CONTROL) (pp 130-135). Plymouth, UK, 20 April 2022 - 20 April 2022.
  • Ward R, Sencer B, Panoutsos G & Ozturk E (2022) . Procedia CIRP, Vol. 107 (pp 1571-1576). Lugano, Switzerland, 29 June 2022 - 29 June 2022.
  • Yusuf H, Yang K & Panoutsos G (2021) . Advances in Computational Intelligence Systems (UKCI 2021), Vol. 1409 (pp 15-26). Aberystwyth, United Kingdom, 8 September 2021 - 8 September 2021.
  • Muda MZ & Panoutsos G (2021) . Advances in Computational Intelligence Systems (UKCI 2021), Vol. 1409 (pp 3-14). Aberystwyth, UK, 8 September 2021 - 8 September 2021.
  • Notley SV, Chen Y, Lee PD & Panoutsos G (2021) . Proceedings of 2021 International Joint Conference on Neural Networks (IJCNN). Virtual conference (Shenzhen, China), 18 July 2021 - 18 July 2021.
  • Wu KE & Panoutsos G (2021) . Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC) (pp 144-152). Kraków, Poland (virtual conference), 28 June 2021 - 28 June 2021.
  • Wu KE & Panoutsos G (2021) . Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC) (pp 1929-1937). Kraków, Poland (virtual conference), 28 June 2021 - 28 June 2021.
  • Al-Saadi T, Rossiter JA & Panoutsos G (2021) . Proceedings of the 29th Mediterranean Conference on Control and Automation (MED 2021) (pp 89-94). Puglia, Italy, 22 June 2021 - 22 June 2021.
  • Bin Muda MZ & Panoutsos G (2021) . 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.
  • Adewale Q & Panoutsos G (2021) . Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (pp 200-207), 11 February 2021 - 13 February 2021.
  • Adewale Q & Panoutsos G (2021) . Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (pp 200-207), 11 February 2021 - 13 February 2021.
  • Pannell J, Rigby S & Panoutsos G (2020) 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.
  • Yusuf H & Panoutsos G (2020) . 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Glasgow, UK, 19 July 2020 - 24 July 2020.
  • Wu KE & Panoutsos G (2020) . 2020 IEEE Congress on Evolutionary Computation (CEC) (pp 1-8), 19 July 2020 - 24 July 2020.
  • Pannell JJ, Rigby SE, Panoutsos G, Tyas A, Cooke SB & Pope DJ (2019) 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.
  • Xi Z & Panoutsos G (2019) . 2018 International Conference on Intelligent Systems (pp 448-454). Funchal, Madeira, Portugal, 25 September 2018 - 25 September 2018.
  • 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) . 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Rio de Janeiro, Brazil, 8 July 2018 - 8 July 2018.
  • Martinez-Hernandez U, Rubio-Solis A, Panoutsos G & Dehghani-Sanij AA (2017) . Proceedings of the IEEE International Conference on Fuzzy Systems 2017. Naples, Italy, 9 July 2017 - 9 July 2017.
  • Rubio-Solis A & Panoutsos G (2017) . 2017 IEEE International Conference on Fuzzy Systems, 9 July 2017 - 12 July 2017.
  • Baraka A, Panoutsos G & Cater S (2016) . IFAC-PapersOnLine, Vol. 49(20) (pp 143-148). Vienna, Austria
  • Rubio-Solis A & Panoutsos G (2016) . 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Vancouver, Canada
  • Rubio-Solis A, Panoutsos G & Thornton S (2016) . 2016 IEEE 8th International Conference on Intelligent Systems (IS) (pp 302-307), 4 September 2016 - 6 September 2016.
  • Tzagarakis G & Panoutsos G (2016) . 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp 401-407). Vancouver, BC, Canada, 24 July 2016 - 24 July 2016.
  • 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.
  • 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.
  • Baraka A, Panoutsos G, Mahfouf M & Cater S (2014) . 2014 IEEE International Conference on Granular Computing (GrC) (pp 13-18), 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.
  • 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)
  • 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.
  • 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) . IFAC Proceedings Volumes IFAC Papersonline, Vol. 45(18) (pp 397-402)
  • Zhang G, Mahfouf M, Panoutsos G & Wang S (2012) . 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.
  • 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
  • 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.
  • 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.
  • Zhang G, Mahfouf M, Zhang Q, Gaffour SA, Yates J, Soberanis SA, Pinna C & Panoutsos G (2011) . IFAC Proceedings Volumes IFAC Papersonline, Vol. 44(1 PART 1) (pp 12126-12131)
  • Gaffour SA, Mahfouf M, Panoutsos G & Chen J (2011) . IFAC Proceedings Volumes IFAC Papersonline, Vol. 44(1 PART 1) (pp 12084-12089)
  • Yang YY, Mahfouf M & Panoutsos G (2011) . 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) . IFAC Proceedings Volumes IFAC Papersonline, Vol. 44(1 PART 1) (pp 11732-11737)
  • Zhang Q, Mahfouf M, Panoutsos G, Beamish K & Norris I (2011) . IEEE International Conference on Fuzzy Systems (pp 2288-2295)
  • Yang YY, Mahfouf M, Panoutsos G, Zhang Q & Thornton S (2011) . 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) . 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) . Ifmbe Proceedings, Vol. 25(13) (pp 146-149)
  • Wang A, Panoutsos G, Mahfouf M & Mills G (2008) . IFAC Proceedings Volumes IFAC Papersonline, Vol. 17(1 PART 1)
  • Wang A, Panoutsos G, Mahfouf M & Mills GH (2008) . IFAC Proceedings Volumes, Vol. 41(2) (pp 9063-9068)
  • 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, 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 (2008) . 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.
  • 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)
  • 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 (2006) . IEEE Intelligent Systems (pp 367-372)
  • 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. 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
  • Huse M, Panoutsos G, Emde B, Rubio Solis A, Hermsdorf J & Kaierle S () 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
  • 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, 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 () 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.
  • 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.

Patents

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

Preprints

  • Tang Y, Esnaola IA & Panoutsos G (2025) , arXiv.
  • Zhao H, Tang Z, Li Z, Dong Y, Si Y, Lu M & Panoutsos G (2024) , arXiv.
  • Mamalakis M, Macfarlane SC, Notley SV, Gad AKB & Panoutsos G (2023) , arXiv.
  • Tonge JJ, Notley SV, Dunning MJ, López-Guajardo A, Medcalf JD, Heldin P, Panoutsos G & Gad AKB (2022) , Research Square Platform LLC.
  • Adewale Q & Panoutsos G (2019) , Cold Spring Harbor Laboratory.
Grants

Current Grants

  • Diode area melting - , RCUK, 01/06/2022 - 30/11/2024, £629,880, as Co-PI
  • NanoMan: , RCUK, 13/01/2022 - 12/01/2025, £1,432,279, as Co-PI
  • , 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
  • , EU H2020, 01/10/2018 - 31/03/2023, £694,628, as Co-PI
  • MAPP: , 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
  • , RCUK, 30/09/2019 - 28/03/2022, £252,938, as Co-PI
  • TACDAM: , 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)

Links

  Information and Communication Engineering