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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

  • Salvador, M.M., Budka, M. and Gabrys, B., 2016. Effects of change propagation resulting from adaptive preprocessing in multicomponent predictive systems. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016, 96, 713-722.

Conferences

  • Salvador, M, Budka, M., Quay, T. and Carver-Smith, A., 2016. Improving transport timetables usability for mobile devices: a case study. In: 11th International Conference on the Practice and Theory of Automated Timetabling 23-26 August 2016 Udine, Italy.
  • Salvador, Budka, M. and Gabrys, B., 2016. Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. In: AutoML 2016 @ ICML 20-24 June 2016 New York (USA).
  • Salvador, M.M., Budka, M. and Gabrys, B., 2016. Towards Automatic Composition of Multicomponent Predictive Systems. 27-39.
  • Budka, M., Eastwood, M., Gabrys, B., Kadlec, P., Martin Salvador, M., Schwan, S., Tsakonas, A. and 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 October-1 November 2014 Leuven, Belgium. Springer, 49-60.
  • Salvador, M.M., Gabrys, B. and Žliobaitė, I., 2014. Online Detection of Shutdown Periods in Chemical Plants: A Case Study. 580 - 588.
  • Stahl, F., Medhat Gaber, M. and 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 11-13 December 2013 Cambridge, England. 65-78.

Theses

  • Salvador, 2017. Automatic and adaptive preprocessing for the development of predictive models. PhD Thesis. Bournemouth University, Faculty of Science and Technology.

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 04:09 on November 24, 2017.