Big Data Streaming algorithms applied to industrial real time data
Engineering for the Information Society and Sustainable Development
The scientific in charge of this proposal, Iker Pastor López, holds a PhD degree in Computer Systems, obtained in 2013, with research focused on computer vision algorithms applied to iron castings surface recognition. For the last 10 years he has been focused on research projects that comprise computer vision, artificial intelligence, process optimization and Big Data, applied to wide range of industries like iron and aluminium foundries, retail or cybersecurity among others.
D4K, University of Deusto, Faculty of Engineering
Applicants for positions must hold an MsC degree in Computer Science, Electronics, or Automation Engineering.
Experience interfacing IIoT and other industrial devices such as PLC will be valued.
Advance Knowledge of statistics and programming using Python or R
Fluency in English (understanding, speaking and writing) and ability to work in a team and collaborate with people in complementary disciplines
- Information Sciences and Engineering (ENG)
Industry 4.0 seek to carry out tasks in unstructured environments just as a human worker would do in a similar situation. Adaptability of the production systems and rapid adoption of new conditions are among the most important advancements that this new paradigm is bringing to the manufacturing companies. This flexibility, adaptability and productivity leads to a much more complex situations in terms of engineering processes. Because of this, the artificial intelligence (AI) plays a fundamental role in the new industry 4.0. The data sources are growing up with the IIoT paradigm in which all the devices within the manufacturing plants. Also, the development of faster networks allows the development of more complex protocols in order to enable big streams of data.
Data streaming applications, need a advanced processing of data using Artificial Intelligence. The applicant will consider advanced scenarios in industry, using advanced Artificial Intelligence techniques to obtain a solution for several problems present on them.
Specifically the research will involve:
Development of new machine learning algorithms for industrial data streaming applications. An example could the use of edge computing paradigm.
Reenginer of AI algorithms in order to apply to data streaming problems.
Integration of these algorithms in a real industrial hardware/software.
EXCELLENCE OF THE HOST RESEARCH UNIT
Laorden, C., Galán-García, P., Santos, I., Sanz, B., Nieves, J., Bringas, P. G., & Gómez Hidalgo, J. M. (2014). Negobot: Detecting paedophile activity with a conversational agent based on game theory. Logic Journal of IGPL, 23(1), 17-30.
Laorden, C., Ugarte-Pedrero, X., Santos, I., Sanz, B., Nieves, J., & Bringas, P. G. (2014). Study on the effectiveness of anomaly detection for spam filtering. Information Sciences, 277, 421-444.
Sanz, B., Nieves, J., Laorden, C., Santos, I., & Bringas, P. G. (2013). ONLINE SEARCHES: from information recovery to knowledge generation. DYNA 88 (4), 392-394
Lorido-Botran, T., Huerta, S., Tomás, L., Tordsson, J., & Sanz, B. (2017). An unsupervised approach to online noisy-neighbor detection in cloud data centers. Expert Systems with Applications, 89, 188-204.
PASTOR-LÓPEZ, Iker, et al. Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation. En International Conference on Hybrid Artificial Intelligence Systems. Springer, Cham, 2019. p. 745-757.
VESSEDIA:Verification Engineering of Safety and Security Critical Dynamic Industrial Applications (H2020 – 352.125€)
HORUS: Hornos de recalentamiento inteligentes para procesos siderúrgicos competitivos y sostenibles (CIEN – 122.890€)
BRAINCONTAIN: Contenedor inteligente para la gestión de la materia prima en plantas manufactureras (Bizkaia Digital: Internet Industrial – 26.740€)
FIPS: Future Intelligent Production System (Privado U.S Navy – 137.000€)
NewCalip: Diseño y desarrollo de una nueva generación de mordazas (Gaitek – 20.000€)
SIAISAE: Sistema Inteligente y adaptativo de información de seguridad y administración de eventos (Hazitek 40.000€)
Noot: Diseño y desarrollo de nuevas carcasas de reductora para el sector del ferrocarril (Gaitek – 5.000€)
PRINT: Nueva plataforma para la monitorización y control predictivo inteligente en la industria (Etorgai – 385.800€)
“Self Governing Process” – Integración de tecnologías de auto-gobierno en procesos inteligentes de fabricación (Basque Industry 4.0 – 100.000€) INTERDISCIPLINARY COLLABORATION
The hosting team is a group integrated by research staff that has expertise with collaborating with other research areas. For example, we are currently working in collaboration with the Faculty of Psychology and Education of the University of Deusto to detect gambling problems in the users of EKASA platform. During this project, we started to identify conduct patterns that reflects real gambling problems. The goal of the project is to prevent the evolution of ths this type of problems beforehand.
Furthermore, and given the importance of IIoT and wireless sensor networks, the hosting team has knowledge about:
It’s not planned
It will be analysed when carrying out the corresponding moment INTERNATIONAL COLLABORATION
The University of Deusto has collaborators in the academic and industrial fields in multiple regions of Europe and Spain. In particular, D4K research group maintains relationships with various research groups in Europe, like Secure Business Austria, member of the international knowledge network iSecLab, a group with a high degree of impact on computer security with researchers of the highest level in the area such as Christopher Kruegel, Giovanni Vigna, Ulrich Bayer or Ergin Kirda. Besides has contacts with the University of Bergamo, to which two of them have attended. In addition, the director of his security department, Stefano Paraboschi, was co-director of Dr Pablo García Bringas’ thesis. He also collaborates in the organization of international congresses with the TU University of Vienna through A Min Tjoa, Gabriella and Roland Wagner; and with the Dipartimento di Tecnologie Informazione of the University of Milan directed by Pierangela Samarati. DeustoTech also collaborates closely with large leading and pioneering companies in various sectors such as Telefónica or Philips, or innovative research centres, like CERTH (Hellas), Fondazione Bruno Kessler (Italy), VICESSE (Austria), or University of Granada (Spain).
It’s not planned INTERSECTORAL COLLABORATION
Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors.
Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).
It will be analysed when carrying out the corresponding moment IMPACT
There is an optimal alignment with the Smart Specialization Strategy of the Basque Country (RIS3), that considers the Smart Manufacturing a top priority. More specifically, within the Smart Manufacturing this project is encompassed in the multi-sectorial and the, as it focuses on the data streams within the manufacturing plants. As well, a special emphasis will be given to other cross industries (inside the RIS3 of the Basque Country). INNOVATION
The applications of artificial intelligence are growing importance. Specifically, Artificial Intelligence is changing societies and industries around the world. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles) INCLUSION
The University of Deusto is fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. Faculty of Engineering, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
Laorden, C., Galán-García, P., Santos, I., Sanz, B., Nieves, J., Bringas, P. G., & Gómez Hidalgo, J. M. (2014). Negobot: Detecting paedophile activity with a conversational agent based on game theory. Logic Journal of IGPL, 23(1), 17-30.
Laorden, C., Ugarte-Pedrero, X., Santos, I., Sanz, B., Nieves, J., & Bringas, P. G. (2014). Study on the effectiveness of anomaly detection for spam filtering. Information Sciences, 277, 421-444.
Sanz, B., Nieves, J., Laorden, C., Santos, I., & Bringas, P. G. (2013). ONLINE SEARCHES: from information recovery to knowledge generation. DYNA 88 (4), 392-394
Lorido-Botran, T., Huerta, S., Tomás, L., Tordsson, J., & Sanz, B. (2017). An unsupervised approach to online noisy-neighbor detection in cloud data centers. Expert Systems with Applications, 89, 188-204.
PASTOR-LÓPEZ, Iker, et al. Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation. En International Conference on Hybrid Artificial Intelligence Systems. Springer, Cham, 2019. p. 745-757.
VESSEDIA:Verification Engineering of Safety and Security Critical Dynamic Industrial Applications (H2020 – 352.125€)
HORUS: Hornos de recalentamiento inteligentes para procesos siderúrgicos competitivos y sostenibles (CIEN – 122.890€)
BRAINCONTAIN: Contenedor inteligente para la gestión de la materia prima en plantas manufactureras (Bizkaia Digital: Internet Industrial – 26.740€)
FIPS: Future Intelligent Production System (Privado U.S Navy – 137.000€)
NewCalip: Diseño y desarrollo de una nueva generación de mordazas (Gaitek – 20.000€)
SIAISAE: Sistema Inteligente y adaptativo de información de seguridad y administración de eventos (Hazitek 40.000€)
Noot: Diseño y desarrollo de nuevas carcasas de reductora para el sector del ferrocarril (Gaitek – 5.000€)
PRINT: Nueva plataforma para la monitorización y control predictivo inteligente en la industria (Etorgai – 385.800€)
“Self Governing Process” – Integración de tecnologías de auto-gobierno en procesos inteligentes de fabricación (Basque Industry 4.0 – 100.000€)
The hosting team is a group integrated by research staff that has expertise with collaborating with other research areas. For example, we are currently working in collaboration with the Faculty of Psychology and Education of the University of Deusto to detect gambling problems in the users of EKASA platform. During this project, we started to identify conduct patterns that reflects real gambling problems. The goal of the project is to prevent the evolution of ths this type of problems beforehand.
Furthermore, and given the importance of IIoT and wireless sensor networks, the hosting team has knowledge about:
It’s not planned
It will be analysed when carrying out the corresponding moment
INTERNATIONAL COLLABORATION
The University of Deusto has collaborators in the academic and industrial fields in multiple regions of Europe and Spain. In particular, D4K research group maintains relationships with various research groups in Europe, like Secure Business Austria, member of the international knowledge network iSecLab, a group with a high degree of impact on computer security with researchers of the highest level in the area such as Christopher Kruegel, Giovanni Vigna, Ulrich Bayer or Ergin Kirda. Besides has contacts with the University of Bergamo, to which two of them have attended. In addition, the director of his security department, Stefano Paraboschi, was co-director of Dr Pablo García Bringas’ thesis. He also collaborates in the organization of international congresses with the TU University of Vienna through A Min Tjoa, Gabriella and Roland Wagner; and with the Dipartimento di Tecnologie Informazione of the University of Milan directed by Pierangela Samarati. DeustoTech also collaborates closely with large leading and pioneering companies in various sectors such as Telefónica or Philips, or innovative research centres, like CERTH (Hellas), Fondazione Bruno Kessler (Italy), VICESSE (Austria), or University of Granada (Spain).
It’s not planned INTERSECTORAL COLLABORATION
Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors.
Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).
It will be analysed when carrying out the corresponding moment IMPACT
There is an optimal alignment with the Smart Specialization Strategy of the Basque Country (RIS3), that considers the Smart Manufacturing a top priority. More specifically, within the Smart Manufacturing this project is encompassed in the multi-sectorial and the, as it focuses on the data streams within the manufacturing plants. As well, a special emphasis will be given to other cross industries (inside the RIS3 of the Basque Country). INNOVATION
The applications of artificial intelligence are growing importance. Specifically, Artificial Intelligence is changing societies and industries around the world. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles) INCLUSION
The University of Deusto is fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. Faculty of Engineering, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
The University of Deusto has collaborators in the academic and industrial fields in multiple regions of Europe and Spain. In particular, D4K research group maintains relationships with various research groups in Europe, like Secure Business Austria, member of the international knowledge network iSecLab, a group with a high degree of impact on computer security with researchers of the highest level in the area such as Christopher Kruegel, Giovanni Vigna, Ulrich Bayer or Ergin Kirda. Besides has contacts with the University of Bergamo, to which two of them have attended. In addition, the director of his security department, Stefano Paraboschi, was co-director of Dr Pablo García Bringas’ thesis. He also collaborates in the organization of international congresses with the TU University of Vienna through A Min Tjoa, Gabriella and Roland Wagner; and with the Dipartimento di Tecnologie Informazione of the University of Milan directed by Pierangela Samarati. DeustoTech also collaborates closely with large leading and pioneering companies in various sectors such as Telefónica or Philips, or innovative research centres, like CERTH (Hellas), Fondazione Bruno Kessler (Italy), VICESSE (Austria), or University of Granada (Spain).
It’s not planned
Artificial intelligence is not merely a new technology but a key driver of economic transformation. Thus, it is necessary to include all stakeholders to ensure that the evolution of the AI system is being done in the right way. To achieve this goal, it is also essential an intense collaboration with the industry and social actors.
Deusto includes a lot of collaboration with several key actors in the industry (for example, Mercedes, Sidenor, Vidrala or Progenika (a Griffols company)) but also in the humanitarian sector (for example, Cruz Roja) or other academic leaders (for example University of Granada or Centre of Research and Technology Hellas (CERTH)).
It will be analysed when carrying out the corresponding moment
IMPACT
There is an optimal alignment with the Smart Specialization Strategy of the Basque Country (RIS3), that considers the Smart Manufacturing a top priority. More specifically, within the Smart Manufacturing this project is encompassed in the multi-sectorial and the, as it focuses on the data streams within the manufacturing plants. As well, a special emphasis will be given to other cross industries (inside the RIS3 of the Basque Country). INNOVATION
The applications of artificial intelligence are growing importance. Specifically, Artificial Intelligence is changing societies and industries around the world. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles) INCLUSION
The University of Deusto is fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. Faculty of Engineering, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
There is an optimal alignment with the Smart Specialization Strategy of the Basque Country (RIS3), that considers the Smart Manufacturing a top priority. More specifically, within the Smart Manufacturing this project is encompassed in the multi-sectorial and the, as it focuses on the data streams within the manufacturing plants. As well, a special emphasis will be given to other cross industries (inside the RIS3 of the Basque Country).
The applications of artificial intelligence are growing importance. Specifically, Artificial Intelligence is changing societies and industries around the world. While we are building a “general AI” that replicates human knowledge, there are numerous “specific AI” technologies which are already incredibly sophisticated at handling specific tasks (for example, Medical AI technologies and autonomous vehicles)
INCLUSION
The University of Deusto is fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. Faculty of Engineering, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.
The University of Deusto is fully aware of problems within the institution itself and the society we live in. For this reason, it should take specific steps to boost integration and real equality of opportunity for people with specific support needs. Timely specific action is required to enable them to enter higher education in equal conditions and ensure their full integration in the university community. Faculty of Engineering, as one of its institutions, is included into this service of social action and inclusion. The main aims consist of achieving full normalisation, equal opportunities and gradually adopting the steps needed to ensure that the University of Deusto is an inclusive educational institution. Furthermore, the University of Deusto provides them with guidance and support on the transition to the labour market jointly with special job centres and companies at large.