Dr George Panoutsos

Deputy Head of Department
Reader in Computational Intelligence

George P Image 198x234Address:
Dr George Panoutsos BEng(Hons), MSc, PhD, FHEA
Department of Automatic Control and Systems Engineering
University of Sheffield
Sheffield, S1 3JD
Tel: (+44) (0)114 222 5130
Fax: (+44) (0)114 222 5683
Email: g.panoutsos@sheffield.ac.uk

Research interests
Recent research awards and projects
Selected publications


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 he is currently Reader in Computational Intelligence, and Deputy Head of Department. 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

  • Human-Centric Systems
  • Computational Intelligence (CI) and Artificial Intelligence (AI)
  • Granular Computing (GrC) and Computing with Words
  • Biologically inspired computing and optimisation
  • Incremental learning – Smart Adaptive Systems
  • Data mining, classification and pattern recognition
  • Systems engineering approaches and Machine Learning for the modelling and optimisation of advanced manufacturing processes
    • Process monitoring and optimisation
    • data-driven process-part quality assurance and forecasting of defects
    • manufacturing informatics and data analytics
    • model-based data-driven design and decision making
    • applications: additive manufacturing (3D printing), laser-based welding and cladding, friction stir welding, steel making, imaging
  • Biomedical intelligent systems and Decision Support in healthcare
    • Decision support and data-driven modelling
    • Therapy optimisation based on autonomous metrics
    • applications: wearable devices, sleep disorders, cancer prognosis, ICU decision support, imaging

Recent research awards and projects

  • 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)
  • 2018-2020 EPSRC IIKE (co-I £150k)
  • 2016 -2018 Innovate UK, TACDAM (academic PI £1M )
  • 2018-2020 Xaar PLC, Interpretable Machine Learning for monitoring and optimisation of powder manufacturing processes (PI £30k)
  • 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)


  • ACS133, Physical Systems, module leader
  • ACS6101, Foundations of Control Systems (Systems Modelling and Simulation), module leader
  • ACS6402 Industry Training Programme: Advanced Manufacturing, module leader

Selected publications

Journal articles


Conference proceedings papers

  • 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. World Congress on Computational Intelligence, 8 July 2018 - 13 July 2018. View this article in WRRO RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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. RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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 RIS download Bibtex download
  • 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. RIS download Bibtex download
  • Baraka A, Panoutsos G, Mahfouf M & Cater S (2014) A Shannon Entropy-Based Conflict Measure For Enhancing Granular Computing-Based Information. The 2014 IEEE International Conference on Granular Computing. Noboribetsu, Hokkaido, Japan, 22 October 2014 - 24 October 2014. RIS download Bibtex download
  • 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. RIS download Bibtex download
  • 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. RIS download Bibtex download
  • 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. RIS download Bibtex download
  • 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) RIS download Bibtex download