Dr. A.A. (Alfredo) Nunez Vicencio



He received the Ph.D. degree in Electrical Engineering from the Universidad de Chile, Santiago, Chile, in 2010. He was a Postdoctoral Researcher with the Delft Center for Systems and Control, Delft, The Netherlands. He is currently a tenured Assistant Professor with the Section of Railway Engineering, Department of Engineering Structures, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands.  
He was a Work Package Leader in the development of new sensor technologies (static, moving and crowd based sensors) for railway networks in Romania, Turkey and Slovenia, in the European project H2020 NeTIRail-INFRA project. He has authored a book titled Hybrid Predictive Control for Dynamic Transport Problems in the Series of Advances in Industrial Control (Springer-Verlag, 2013). He has co-authored more than a hundred international journal papers and international conference papers.  
He is in the Editorial Board of the journal Applied Soft Computing. His current research interests include the maintenance of railway infrastructures, intelligent conditioning monitoring in railway systems, big data, risk analysis, and optimization.


In the Section of Railway Engineering, I work towards practical and fundamental issues in the field of Structural Condition Monitoring and Maintenance of Railways. This field includes monitoring, modeling, analysis and control of railway systems, with a focus on the whole system (the infrastructure and its dynamic interactions with trains, maintenance actions, infra-managers, railway companies, rail passengers, society and environment). The main objective in this research is to develop new systematic and computationally efficient monitoring, modeling and decision support methods for railway systems, combining knowledge of the physical assets (track, power supply, stations, vehicles, communications, etc.) together with new advances in signal processing and control for railway data sources. The research field also includes a real-implementation component, considering the design of proper benchmarks, real-data acquisition, measurements in the railway tracks, and interaction with practitioners at the different authorities (NS, ProRail, and contractors), consultancy firms, and policy makers.

Regarding the fundamental component, I work on general aspects of health condition monitoring and maintenance decision support systems, with methodologies coming from the artificial intelligence field, machine learning, Big Data analytics, together with different non-centralized and centralized model predictive control structures.


Team:   homepage.tudelft.nl/3n07s/team.html 
Projects:   homepage.tudelft.nl/3n07s/projects.html  
Publications:   homepage.tudelft.nl/3n07s/publications.html 

Bekijk de publicaties in Pure
2014 - Knowledge Based Control Systems
2014 - Knowledge Based Control Systems, Matlab
2014 - Knowledge Based Control Systems, Exam
2014 - Knowledge Based Control Systems, Literature
2015 - Knowledge Based Control Systems, Literature
2015 - Knowledge Based Control Systems
2015 - Knowledge Based Control Systems, Matlab
2015 - Knowledge Based Control Systems, Exam
2013 - Knowledge Based Control Systems
2013 - Knowledge Based Control Systems, Exam
2013 - Knowledge Based Control Systems, Literature
2013 - Knowledge Based Control Systems, Matlab
2016 - Railway Asset Management
2016 - Presentatie
2015 - Tentamen
2016 - Tentamen
2017 - Railway Asset Management
2018 - Railway Asset Management
2015 - Railway Asset Management
2015 - Presentatie
2019 - Railway Asset Management
2017 - Asset Management for Designers
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2016-05-01 - 2020-01-01