Manuel Jiménez

Computational Optimisation and Learning (COL) lab, School of Computer Science
University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham NG8 1BB
United Kingdom
E-mail: psxmaji@nottingham.ac.uk

Manuel Jiménez

I am a fourth-year PhD student working in the Computational Optimisation and Learning lab (COL) in the School of Computer Science at University of Nottingham. My research interests include machine learning for image classification, deep learning and fuzzy logic.

Supervisors

First supervisor:	Dr. Isaac Triguero
Second supervisor:	Dr. Mercedes Torres Torres

Research

My research addresses the application of machine learning techniques to the classification of astronomical images considering data labelled in the course of citizen science projects, leveraging the inherent uncertainty in this sort of data to improve the performance of automatic classifiers.

Publications

	M. Jiménez, M. Torres Torres, R. John, I. Triguero. Galaxy image classification based on citizen science data: A comparative study. IEEE Access 8, 47232-47246, 2020. doi: 10.1109/ACCESS.2020.2978804
	M. Jiménez, M. Torres Torres, R. John, I. Triguero. A preliminary approach for the exploitation of citizen science data for fast and robust fuzzy k-nearest neighbour classification. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). June 23-26, New Orleans (USA), 2019. doi: 10.1109/FUZZ-IEEE.2019.8858830
	M. Jiménez, I. Triguero, R. John. Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification. Information Sciences 479, 301-320, 2019. doi: 10.1016/j.ins.2018.12.011
	M. Jiménez, I. Triguero, R. John. A first approach for handling uncertainty in citizen science. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). July 8-13, Rio de Janeiro (Brazil), 2018. doi: 10.1109/FUZZ-IEEE.2018.8491451

Education

M.Sc. in Physics from University of Granada.

Additional training

	June 2018, Preparing to Teach in Higher Education Certificate, University of Nottingham, Nottingham (UK).
	April 2018, NATCOR Approximation Algorithms, University of Nottingham, Nottingham (UK).
	January 2018, International Winter School on Big Data, West University of Timişoara, Timişoara (Romania).
	July 2017, DeepLearn International Summer School, University of Deusto, Rovira i Virgili University, Bilbao (Spain).
	April 2017, NATCOR Stochastic Modelling, University of Lancaster, Lancaster (UK).