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Jesus Nieto Martin

Senior Research Fellow

BEng MEng (Seville) MSc PhD(Cranfield)

Dr Jesus Nieto Martin undertakes research related to modelling evolutionary systems under uncertainty. His recent work focuses on designing processes to evaluate and accelerate the digitalisation of the Power sector using distributed technologies such as blockchain.

In his industry collaborations, Dr Nieto Martin has contributed modelling and evaluating long-term investment portfolios for electrical transportation, city planning, as well as retailing.

Other areas of research include modelling complexity using Bayesian Networks and online algorithmic decision-making. Dr Nieto-Martin was previously a Senior Research Fellow in the Infrastructure Systems Group at Cranfield School of Management and Visiting Researcher at the National Renewable Energy Laboratory (NREL) in the US.


Prediction with robustness towards outliers, trends and level shifts

Bruce A,Connor J T,Martin R D

in Refenes A N et al. eds., Neural networks in financial engineering, World Scientific, 1996


Robust non-linear modelling with level and trend shifts

Connor J T,Martin R D

in Proceedings of the Neural Networks for Computing Workshop, 1995


Recurrent neural networks and time series prediction

Connor J T,Martin R D,Atlas L E

IEEE Transactions on Neural Networks special issue 1994 Mar Vol 5:2 p 240-254

Robust neural networks

Connor J T,Martin R D

in Proceedings of the Neural Networks for Computing Workshop, 1994


Recurrent networks and NARMA modelling

Connor J T,Atlas L E,Martin R D

in Moody J and Hanson S eds., Advances in neural information processing systems 4, 1992, p 301-308

Research Interests

  • Evolutionary optimisation
  • Digital technologies
  • Utilities operations