The Consortium Partnership combines the skills and resources of two linked research groups at a public sector University (VUB), and a technology-based creative user SME (S&C). It is designed to provide training in a user-centred research approach that links scientific experiment and algorithmic innovation, to enabling technology, to software and application development in commercial use.
Sensing&Control Systems S.L. (Barcelona, Spain)
S&C is a technology based company specialized in bringing to the market web based solutions related to remote control, monitoring and real-time tracking, in several markets including Security, Energy Management and Location and tracking. S&C has specialized on wireless communication technologies with R&D and integration projects. The company was created more than 6 years ago. Currently the company has a group of 12 engineers, and is very active in R&D projects.
S&C facilities available for the project are the availability of two living labs with a complete deployment of sensors and meters integrated to a web software for energy management that currently commercializes (© enControl). Both labs are into the offices of Sensing & Control: headquarters located in Barcelona city centre and operations office located in Igualada (60 Km. from Barcelona). S&C will also provide access to other deployments done in public buildings in the city (for instance the Media-TIC building).
The key scientific staffs who will be involved in the project are:
Dr. Narcís Avellana: PhD. in Computer Science (Neural Networks at Universität Ulm, Germany), and MsC in business administration (Universidad Autónoma de Barcelona). He has been working in different positions in large companies in both, Spain (Centro Superior de Investigaciones Científicas) and in Germany (Siemens AG, Epson Europe Electronics GmbH) in different areas: product definition, R&D, marketing and management. He has been co-founder of the company Sensing & Control Systems S.L., where he is General Manager of the company since 2006. He wrote more than 25 articles. Dr Avellana is currently FP7 evaluator of several topics, specially related on ICT and energy efficiency, and he is supervising one PhD. Dr. Avellana will contribute to SCANERGY with the global coordination of the activities, transferring skills to VUB and in turn learning from them on advanced artificial intelligence techniques. He will be responsible for the industrial dissemination of results.
Sergio Jurado, MsC in Industrial Engineering (Universitat Politècnica de Catalunya) and student of PhD. In Artificial Intelligence (Universitat Politècnica de Catalunya). He has been working in different companies in Spain, in areas such as Quality Control and Production Line and he was also teacher of Computer Science in C and C++ for two years. Currently he is working in the R&D department of Sensing & Control Systems S.L. specially related with FP7, EUROSTARS and other R&D European projects, as well as, integrating AI technologies in the systems developed by the company. Sergio Jurado will be in charge at S&C of the main related activities for know-how transfer between both parties. He will periodically develop reports to inform and to spread the research and progress done in the project.
Pablo Giménez Jiménez, MSc. in Computer Science at Universidad de Zaragoza and a Master in Technology and Innovation Management at EOI. Pablo has been working in different positions involving software development as internal instructor, project manager and technical leader in Spain (Endalia). He is currently working for Sensing & Control Systems since 2010 as a senior software engineer working closely to the R&D department managing and developing the products lifecycle within the company. Pablo Giménez will be the main responsible at S&C for integrating all the results of the research in the S&C’s products for making it exploitable. He will be also in charge to train VUB with all the knowledge related to cloud services and web platforms for control and monitoring based on wireless sensor networks.
Alberto Fernandez, MSc, Operations Director. Alberto holds a Computer Science Degree and Master degree in microelectronics. Alberto worked in the R&D department of the Spanish Microelectronics Centre. Then he worked as R&D engineer at Microson, a Spanish leading company in the development of hearing aid products for the global market. Following this, he worked as Technical Manager of the Seiko Epson Barcelona Design Centre, developing ASICs within the EMEA area. Alberto Fernández will be in charge for the definition of the scenario, simulation, test and benchmarking of the research and development done under the SCANERGY project.
Vrije Universiteit Brussel (Brussels, Belgium)
VUB, and in particular the CoMo lab, aims to advance the know-how of its research staff by hosting both early stage and ERs with complementary skills on the project. In turn, CoMo with its multidisciplinary expertise will offer support to the incoming researchers in the form of collaboration meetings and discussion groups.
The key scientific staff who will be involved in the project are:
Prof. Dr. Ann Nowé: After graduating from the University of Ghent, she obtained her Ph.D. from Vrije Universiteit Brussel in collaboration with Queen Mary and Westfield College, University of London. Her expertise is located in the intersection of Computer Science (Artificial Intelligence), Control Theory (Fuzzy Control) and Mathematics (Numerical Analysis, Stochastic Approximation). She is currently the head of the Computational Modelling Lab of the Vrije Universiteit Brussel. Prof. Nowé will be responsible for the scientific coordination of the seconded researchers (both to S&C and to VUB) and for the dissemination of results to the academic world.
Dr. Mihail Mihaylov. Ph.D. in Artificial Intelligence from the Vrije Universiteit Brussel, Belgium and M.Sc. in Artificial Intelligence from Maastricht University, the Netherlands. The focus of Mihail’s research is on decentralized multi-agent systems and reinforcement learning. He applies machine learning techniques to develop decentralized algorithms for intelligent communication between energy-constrained devices. His research aims to make autonomous devices collectively optimize their behaviour in a decentralized manner, through learning. Mihail’s research has resulted in numerous high quality publications in different sectors, such as wireless sensor networks, energy efficiency and distributed systems. Mihail will be responsible for developing and conducting research on the IMM using distributed machine learning techniques. He is also in charge of the Validation Framework, which he will apply in the labs of S&C. In addition, Mihail will share his expertise in artificial intelligence with the ESRs in this domain.
Kristof Van Moffaert, MSc. Master of Science in Computer Science from the Vrije Universiteit Brussel, Belgium. Kristof’s expertise is in the application of both on-line and off-line multi-objective learning techniques in the area of transportation, logistics and economics. His current focus is on reinforcement learning techniques for energy savings in a building by powering certain devices on or off in accordance to the level of user satisfaction. The main responsibilities of Kristof are in applying machine learning techniques for adapting the amount of energy the smart meters will sell based on the level of user satisfaction. This work will be carried out in the living labs of S&C.
Dr. Iván S. Razo-Zapata, holds B.Sc and M.Sc. degrees in computer science from Autonomous University of Hidalgo (Mexico) and PhD from VU University Amsterdam. His experience encompasses topics such as service science, artificial intelligence (AI), semantic web and business modeling. During his PhD research, he developed a semantic framework to automatically compose networks of commercial services matching specific customer needs. His role within Scanergy is to design and implement AI techniques to allow the trade of energy between prosumers.
Dr. Leticia Arco García, Ph.D. in Technical Sciences from the Central University of Las Villas, Cuba, in collaboration with University of Oldenburg and University of Magdeburg, Germany. M.Sc. in Computer Sciences from Central University of Las Villas, Cuba. Her research focus is on Text Mining and Opinion Mining techniques, Rough Set Theory and Machine Learning techniques, especially clustering algorithms. She is currently doing a post-doctoral research in the Computational Modelling Lab of the Vrije Universiteit Brussel. Leticia will be responsible for developing clustering algorithms to reveal various preferences, behaviours and characteristics of individual consumers and producers, considering the fine grained energy consumption information from smart meters.