Manuel Salvador

Manuel Salvador

  • msalvador at bournemouth dot ac dot uk
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Biography

Manuel Martin Salvador (MEng'09 -- MSc'11) graduated with distinction as a Computer Engineer from the University of Granada (Spain) in 2009, where he also received the MSc in Soft Computing and Intelligent Systems in 2011. Manuel has worked in a range of R&D projects for the industry in several sectors: renewable energy, process industry and public transport. Currently he is a PhD candidate at Bournemouth University and works as R&D engineer at We Are Base. His main research areas include automatic data preprocessing, predictive modelling and adaptive systems.

Journal Articles

  • Martin Salvador, M., Budka, M., Gabrys, B., 2019. Automatic Composition and Optimization of Multicomponent Predictive Systems with an Extended Auto-WEKA. IEEE Transactions on Automation Science and Engineering, 16 (2), 946-959.
  • Salvador, M., Budka, M., Quay, T., 2018. Automatic Transport Network Matching Using Deep Learning. Transportation Research Procedia.
  • Salvador, M.M., Budka, M., Gabrys, B., 2016. Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems. Procedia Computer Science, 96, 713-722.
  • Stahl, F., Gaber, M.M., Salvador, M.M., 2012. ERules: A modular adaptive classification rule learning algorithm for data streams. Res and Dev in Intelligent Syst Xxix Incorporating Applications and Innovations in Intel Sys Xx AI 2012 32nd Sgai Int Conf on Innovative Techniques and Applications of Artificial Intel.
  • Moffat, A.C., Osselton, M.D., Widdop, B., Clarke, E.G.C.. Clarke's analysis of drugs and poisons. Pharmaceutical Pr.

Conferences

  • Salvador, M.M., Budka, M., Quay, T., 2018. Automatic Transport Network Matching Using Deep Learning. Transportation Research Procedia, 31, 67-73.
  • Salvador, M.M., Budka, M., Gabrys, B., 2017. Modelling multi-component predictive systems as petri nets. 15th International Industrial Simulation Conference 2017 Isc 2017, 17-23.
  • Salvador, Budka, M., Gabrys, B., 2016. Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. In: AutoML 2016 @ ICML 20/06/2016 New York (USA).
  • Martin Salvador, M., Budka, M., Gabrys, B., 2016. Towards automatic composition of multicomponent predictive systems. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 9648, 27-39.
  • Salvador, M.M., Budka, M., Quay, T., Carver-Smith, A., 2016. Improving transport timetables usability for mobile devices: A case study. Patat 2016 Proceedings of the 11th International Conference on the Practice and Theory of Automated Timetabling, 521-524.
  • Schroeder, J.W., Martin-Salvador, M., Bakirov, R., Straus, U., 2015. Tactile satellite navigation system: Using haptic technology to enhance the sense of orientation and direction. Proceedings of the International Astronautical Congress Iac, 5.
  • Budka, M., Eastwood, M., Gabrys, B., Kadlec, P., Martin Salvador, M., Schwan, S., Tsakonas, A., Žliobaitė, I., 2014. From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. In: The Thirteenth International Symposium on Intelligent Data Analysis (IDA 2014) 30/10/2014 Leuven, Belgium. Advances in Intelligent Data Analysis XIII, 8819 Springer.
  • Salvador, M.M., Gabrys, B., Žliobaitė, I., 2014. Online Detection of Shutdown Periods in Chemical Plants: A Case Study. Procedia Computer Science, 35, 580 - 588.
  • Stahl, F., Medhat Gaber, M., Martin Salvador, M., 2012. eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams. In: AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence 11/12/2013 Cambridge, England. Incorporating Applications and Innovations in Intelligent Systems XX Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, 65-78.

Theses

Posters

  • Salvador, M.M., 2014. Identifying Shutdown Periods in a Chemical Production Plant. In: 7th Annual DEC PGR Poster Conference.
  • Salvador, M.M., 2014. Automating Data Pre-processing for Online and Dynamic Processes in the Chemical Industry. In: 6th Annual Postgraduate Research Conference.
  • Salvador, M.M., 2012. Automatic and Adaptive Preprocessing for the Development of Predictive Models. In: 4th Annual Postgraduate Research Conference.
  • Salvador, M.M., 2012. Automatic and Adaptive Preprocessing for the Development of Predictive Models. In: 5th Annual DEC PGR Poster Conference.

Profile of Teaching UG

  • Advanced Data Management

Qualifications

  • MSc in Soft Computing and Intelligent Systems (2011)
  • MSc in Computer Engineering (2009)
The data on this page was last updated at 05:00 on February 17, 2026.