Panoutsos, George, Professor

Professor George Panoutsos

MSc, PhD, FHEA

School of Electrical and Electronic Engineering

Head of Department

Professor of Computational Intelligence

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
��߲ݴ�ý
S1 3JD

Profile

George Panoutsos received his PhD degree in automatic control and systems engineering from the University of ��߲ݴ�ý, ��߲ݴ�ý, U.K, in 2007. He joined the Department of Automatic Control and Systems Engineering (University of ��߲ݴ�ý, 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/��߲ݴ�ý 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

Zhao H, Tang Z, Li Z, Dong Y, Si Y, Lu M & Panoutsos G (2024) . 2024 IEEE International Conference on Industrial Technology (ICIT).
Notley SV, Chen Y, Thacker NA, Lee PD & Panoutsos G (2023) . Additive Manufacturing Letters, 6.
Vagenas S & Panoutsos G (2023) . IFAC-PapersOnLine, 56(2), 4719-4724.
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.
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 Newsletter, 14.
Pannell J, Rigby S & Panoutsos G (2022) . International Journal of Protective Structures.
Atwya M & Panoutsos G (2022) . Neurocomputing, 491, 464-488.
Pannell JJ, Rigby SE & Panoutsos G (2022) . International Journal of Protective Structures.
Su R, Panoutsos G & Yue X (2020) . Granular Computing.
Katzman M, Mycroft W, Tammas-Williams S, Hernandez-Nava E, Panoutsos G, Todd I & Kadirkamanathan V (2020) . Journal of Intelligent Manufacturing.
Rubio-Solis A, Panoutsos G, Beltran-Perez C & Martinez-Hernandez U (2020) . Neurocomputing, 389, 42-55.
Atwya M & Panoutsos G (2019) . IEEE Transactions on Industrial Informatics.
Snell R, Tammas-Williams S, Chechik L, Lyle A, Hernández-Nava E, Boig C, Panoutsos G & Todd I (2019) . JOM Journal of the Minerals, Metals and Materials Society.
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.
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) 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) . 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.
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.
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.
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.
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) . Fuzzy Sets and Systems, 161(21), 2808-2830.
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.
Mamalakis M, Banerjee A, Ray S, Wilkie C, Clayton RH, Swift AJ, Panoutsos G & Vorselaars B () . Neural Computing and Applications.
Zhang B, Jin X, Liang W, Chen X, Li Z, Panoutsos G, Liu Z & Tang Z () . Electronics, 13(7), 1358-1358.
Atwya M & Panoutsos G () . Journal of Intelligent Manufacturing.
Rossiter J, Panoutsos G & Al-saadi T () Analytical comparison between in-situ control strategies for selective laser melting process. IFAC-PapersOnLine.
Rossiter J, Aftab MS, Panoutsos G & Gonzalez-Villarreal O () A novel approach to PFC for nonlinear systems. European Journal of Control(2022 ECC Special Issue of the European Journal of Control.).
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.
Pannell JJ, Panoutsos G, Cooke SB, Pope DJ & Rigby SE () . International Journal of Protective Structures.

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) , Intelligent Systems: Theory, Research and Innovation in Applications (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 papers

Tang Z, Rossiter JA & Panoutsos G (2024) . 2024 UKACC 14th International Conference on Control (CONTROL), 10 April 2024 - 12 April 2024.
Tang Z, Rossiter JA, Dong Y & Panoutsos G (2024) . 2024 IEEE International Conference on Industrial Technology (ICIT), 25 March 2024 - 27 March 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, ��߲ݴ�ý, UK. UKCI, Vol. 1454
Grais EM, Notley SV & Panoutsos G (2023) . 2023 IEEE International Conference on Networking, Sensing and Control (ICNSC), 25 October 2023 - 27 October 2023.
Wu K & Panoutsos G (2023) . Proceedings of the Companion Conference on Genetic and Evolutionary Computation
Rossiter JA, Aftab MS & Panoutsos G (2022) . 2022 European Control Conference (ECC), 12 July 2022 - 15 July 2022.
Rossiter JA, Saleheen Aftab M, Panoutsos G & Gonzalez-Villarreal O (2022) . European Journal of Control (pp 100668-100668)
Ward R, Sencer B, Panoutsos G & Ozturk E (2022) . Procedia CIRP, Vol. 107 (pp 1571-1576). Lugano, Switzerland, 29 June 2022 - 1 July 2022.
Aftab MS, Rossiter JA & Panoutsos G (2022) . 2022 UKACC 13th International Conference on Control (CONTROL), Vol. 00 (pp 12-17)
Aftab MS, Rossiter JA & Panoutsos G (2022) . 2022 UKACC 13th International Conference on Control (CONTROL), Vol. 00 (pp 130-135)
Yusuf H, Yang K & Panoutsos G (2021) . UKCI 2021: Advances in Computational Intelligence Systems, Vol. 1409 (pp 15-26). Aberystwyth, United Kingdom, 8 September 2021 - 10 September 2021.
Muda MZ & Panoutsos G (2021) . UKCI 2021: Advances in Computational Intelligence Systems, Vol. 1409 (pp 3-14). Aberystwyth, UK, 8 September 2021 - 10 September 2021.
Rossiter J, Panoutsos G & Al-Saadi T (2021) Control of selective laser melting processes: existing efforts, challenges, and future opportunities. A first course in Predictive Control
Adewale Q & Panoutsos G (2021) Mental Workload Estimation using Wireless EEG Signals.. BIOSIGNALS (pp 200-207)
Adewale Q & Panoutsos G (2021) . Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 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, 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), 19 July 2020 - 24 July 2020.
Xi Z & Panoutsos G (2019) . Proceedings of the 2018 International Conference on Intelligent Systems (pp 448-454), 25 September 2018 - 27 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), 8 July 2018 - 13 July 2018.
Martinez-Hernandez U, Rubio-Solis A, Panoutsos G & Dehghani-Sanij AA (2017) . IEEE International Conference on Fuzzy Systems
Rubio-Solis A & Panoutsos G (2017) . 2017 IEEE International Conference on Fuzzy Systems, 9 July 2017 - 12 July 2017.
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) . IFAC-PapersOnLine, Vol. 49(20) (pp 143-148)
Solis AR & Panoutsos G (2016) . 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 24 July 2016 - 29 July 2016.
Rubio-Solis A, Panoutsos G & Thornton S (2016) . 2016 IEEE 8th International Conference on Intelligent Systems (IS), 4 September 2016 - 6 September 2016.
Tzagarakis G & Panoutsos G (2016) . 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 24 July 2016 - 29 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.
Baraka A, Panoutsos G, Mahfouf M & Cater S (2014) . 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) . 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 ��߲ݴ�ý 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 GH (2008) . IFAC Proceedings Volumes, Vol. 41(2) (pp 9063-9068)
Wang A, Panoutsos G, Mahfouf M & Mills G (2008) . IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 17(1 PART 1)
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, 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) . 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.
Al-saadi T, Rossiter JA & Panoutsos G () Initial investigation of online control system for selective laser melting process: multi-layer level. CONTROL 2024: 14th United Kingdom Automatic Control Council (UKACC) International Conference on Control. Winchester, UK, 10 April 2024 - 10 April 2024.
Tang Z, Rossiter J & Panoutsos G () Disturbance observer-based optimal tracking control for slot coating process with mismatched input disturbances. CONTROL 2024: 14th United Kingdom Automatic Control Council (UKACC) International Conference on Control. Winchester, UK, 10 April 2024 - 10 April 2024.
Rossiter J & Panoutsos G () Fuzzy Logic Control in Metal Additive Manufacturing: A Literature Review and Case Study. Fuzzy Logic Control in Metal Additive Manufacturing: A Literature Review and Case Study, 15 August 2022 - 17 April 2022.
Sahin A, Rey P & Panoutsos G () Self-tuning multi-model statistical process control for process monitoring in additive manufacturing. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), 17 May 2022 - 20 May 2022.
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.
Bin Muda MZ & Panoutsos G () An Entropy-based Uncertainty Measure for Developing Granular Models. An Entropy-based Uncertainty Measure for Developing Granular Models, 14 November 2020 - 15 November 2020.
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
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.
Panoutsos G & Wu KE () A new Diversity Performance Indicator for Many - Objective Optimisation Problems. Proceedings of the IEEE Congress on Evolutionary Computation
Panoutsos G & Wu K () A Visualisation Method for Pareto Front Approximations in Many-objective Optimisation. Proceedings of the IEEE Congress on Evolutionary Computation, 28 June 2021 - 1 July 2021.
Notley S, Chen Y, Lee PD & Panoutsos G () Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. Proceedings of the International Joint Conference on Neural Networks, 18 July 2021 - 22 July 2021.

Patents

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

Preprints

Kirk R, Panoutsos G, van de Werken M & Timmers R (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.
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 () , Research Square Platform LLC.
Adewale Q & Panoutsos G () , 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)

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School of Electrical and Electronic Engineering

School of Electrical and Electronic Engineering

Professor George Panoutsos

Recent research awards and projects

Journal articles

Chapters

Conference proceedings papers

Patents

Preprints

Current Grants

Previous Grants

Links

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