TEP024 Intelligent Modelling of Systems

Submitted by francisco.grimaldi on Fri, 07/31/2020 - 10:37
University
University of Cadiz
Faculty/school/department
ESCUELA POLITECNICA SUPERIOR / INGENIERÏA INFORMÄTICA
Size of the team
number of researchers number of supporting staff number of PhD students
11
0
0
PI
PI name
TURIAS DOMINGUEZ IGNACIO J.
PI email
ignacio.turias@uca.es
PI bio

Associate Professor of the Department of Computer Engineering at the University of Cádiz (UCA) since 2008. He received his doctorate in the Industrial Engineering program at the University of Cádiz in February 2003. He belonged to the research group “Computational Intelligence Systems” PAIDI-TIC-145 from 1995 to 2011. Since January 2011, he is head of the PAIDI-TEP-024 Intelligent Modelling of Systems research group. The research group has a staff of 6 doctors (1 postdoc) and 6 doctorate candidates. He maintains a relevant trajectory leading European and National research projects and also in transfer and innovation contracts with important enterprises and corporations.

Contact person and e-mail
Contact person
TURIAS DOMINGUEZ IGNACIO J.
Contact person e-mail
ignacio.turias@uca.es
Short description of research profile

Air pollution estimation and forecasting using machine learning techniques
Artificial neural networks in industrial and civil engineering
Data analytics in stainless steel factories
Machine Learning and data analytics in engineering
Modelling and simulation in transportation and logistics
Virtual sensoring in engineering

 

Research area
ENGINEERING AND TECHNOLOGY » Electrical eng, electronic eng » (ES) COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Publications

Representative publications

A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models Ruiz-Aguilar, J.J., Urda, D., Moscoso-López, J.A., González-Enrique, J., Turias, Ignacio J. Neurocomputing Elsevier (2020) Vol: 391. Pgs: 282-291
A novel three-step procedure to forecast the inspection volume Ruiz-Aguilar, J.J.; Turias, I.J.; Jimenez-Come, M. J. TRANSPORTATION RESEARCH PART C, 2015, 56, 393–414.
A two-stage procedure for forecasting freight inspections at Border Inspection Posts using SOMs and support vector regression Ruiz-Aguilar, J. J.; Turias, I. J.; Jimenez-Come, M. J. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (7), 2119-2130.
Bootstrapped operating efficiency in container ports: a case study in Spain and Portugal. Gil, A; Turias, I.; Cerbán, M.M. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2019, 119 (4), 924-948.

Link to extended list of publication

https://tep024.uca.es/publicaciones-en-revistas/
Technology Expertise

Since its creation in 2011, the group has developed around a total of 65 international journal contributions indexed in the WoS-ISI Journal Citation Report (JCR) in journals with a very remarkable impact index: Neurocomputing, Transportation Research, Industrial Management and Data Systems, etc. Likewise, the members of the group have also participated as authors, reviewers, special session organizers or program committees in international conferences, among which, IWANN, SOMET, IJCNN, SOCO, HAIS, etc., stand out being 40 indexed in ISI-Proceedings.

The research group is focused on applications of machine learning in environmental,  industrial, and civil engineering (transportation and logistics) problems.