Search results

    Search results

    Show all results for ""
    Can not find any results or suggestions for "."

    Search tips

    • Make sure there are no spelling errors
    • Try different search terms or synonyms
    • Narrow your search for more hits

    How can we help?

    Contact Us

    Find Employees

    University of Skövde, link to startpage

    Search results

      Search results

      Show all results for ""
      Can not find any results or suggestions for "."

      Search tips

      • Make sure there are no spelling errors
      • Try different search terms or synonyms
      • Narrow your search for more hits

      How can we help?

      Contact Us

      Find Employees

      University of Skövde, link to startpage

      Maria Riveiro

      Associate Professor of Informatics
      School of Informatics
      Room PA520P

      Member of the Skövde Artificial Intelligence Lab (SAIL). Research interests: visual analytics, data mining, machine learning, data science and HCI.

      Google Scholar 
      ResearchGate

      Current research projects:

      • BIDAF (A Big Data Analytics Framework for a Smart Society).
      • BISON (Big Data Fusion - Bioinformatics subproject, with AstraZeneca
        and TakaraBio).
      • HMI for Distributed Decision-Making with Saab Aeronautics.
      • Infofusion Fusarium.
      • IDS. Golf Data Analysis (GOATS).

      Some earlier projects:

      • NOVA (New Opportunities through Visual Analytics for Big Data with Combitech and Takara Europe).
      • CARSII (Energimyndigheten, eco-driving).
      • UMIF (Uncertainty Management in Information Fusion, with Saab AB, Volvo Technology, Volvo CC, Agroväst, etc.).
      • InfoFusion Research Program.

      Current teaching:

      • Data Analysis Course, post-graduate level (IT929F).

      Research students:

      Main supervisor of doctoral students Elio Ventocilla (visual analytics and interactive machine learning) and Nikolas Huhnstock (adaptive neural networks). Primary supervisor of industrial PhD-student Ulrika Ohlander (HCI, Saab Aero, Linköping). Co-supervisor of Erik Lagerstedt (HRI, iLab), Patrick Gabrielsson (deep learning, University of Borås), Navoda Senavirathne (VR, data privacy) and Zhen Rong (visiting PhD-student from Shanghai Maritime University, maritime anomaly detection).

      Brief CV:

      • Associate Professor of Informatics (2017)
      • Docent (2015)
      • Senior Lecturer in Computing Science (2012)
      • PhD in Computer Science (2011)
      • Software Engineer (2004-2005)
      • M.Sc. in Telecommunication Engineering, Higher Technical School of Telecommunication Engineering, Vigo, Spain (mostv. Civilingenjör i Elektroteknik enligt Högskoleverket) (2004)

      Research

      2022

      Nils-Erik Ohlson, Maria Riveiro, Jenny Bäckstrand

      SPS2022: Proceedings of the 10th Swedish production symposium

      2022. Conference paper. https://doi.org/10.3233/ATDE220124 Open Access

      2021

      Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt et al.

      IEEE Computer Graphics and Applications

      2021. Article. https://doi.org/10.1109/MCG.2021.3107875

      Nils-Erik Ohlson, Jenny Bäckstrand, Maria Riveiro

      PLANs forsknings- och tillämpningskonferens 2021, Högskolan i Borås, 20-21 oktober 2021

      2021. Conference paper, oral presentation with abstract. Open Access

      Björn W. Schuller, Tuomas Virtanen, Maria Riveiro, Georgios Rizos, Jing Han, Annamaria Mesaros, Konstantinos Drossos

      ICMI '21: Proceedings of the 2021 International Conference on Multimodal Interaction

      2021. Conference paper. https://doi.org/10.1145/3462244.3479879

      Benjamin Ulfenborg, Alexander Karlsson, Maria Riveiro, Christian X. Andersson, Peter Sartipy, Jane Synnergren

      Journal of Biotechnology

      2021. Article. https://doi.org/10.1016/j.jbiotec.2020.12.002 Open Access

      Elio Ventocilla, Rafael M. Martins, Fernando Paulovich, Maria Riveiro

      Big Data Research

      2021. Article. https://doi.org/10.1016/j.bdr.2021.100254 Open Access

      2020

      Vaishnavi Annavarjula, Gideon Mbiydzenyuy, Maria Riveiro, Niklas Lavesson

      Developments of Artificial Intelligence Technologies in Computation and Robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020)

      2020. Conference paper. https://doi.org/10.1142/9789811223334_0074

      Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman

      ACM Computing Surveys

      2020. Article. https://doi.org/10.1145/3340960 Open Access

      Elio Ventocilla, Rafael M. Martins, Fernando Paulovich, Maria Riveiro

      Machine Learning Methods in Visualisation for Big Data

      2020. Conference paper. https://doi.org/10.2312/mlvis.20201099 Open Access

      Ongoing projects

      Virtual Factories of the Future

      Virtual factories with knowledge-driven optimization (VF-KDO) is an eight-year research profile that is being coordinated by the University of Skövde. Research within this profile aims to help strengthen the competitiveness of Swedish industry.

      October 2018 - September 2025 Virtual Engineering

      Finished projects

      Bioinformatics - Biomedical Big Data

      The aim of this project is to contribute with improved methods for analysis, integration, and visualization of biomedical big data. Recent years it has been a massive digitalization of all types of data and information in the society and the majority of all information in the world is nowadays anticipated to be digitalized. This encompasses enormous possibilities for generation of new knowledge but also puts demands on competence and tools for analysis and interpretation of big and complex data, e.g. to identify and extract patterns and information from different data sources. To meet these increasing demands of large-scale data analysis more competence, better and faster algorithms, and powerful computers are needed for execution these algorithms.

      October 2015 - September 2019 Systems Biology

      BISON: Better decisions through Big Data

      Big data has gained much interesting in recent years due to the rapid expansion of the massive amount of data that is available for solving different types of tasks within many different application domains. However, today's big data is still on a fairly low level of abstraction when it comes to complex decision support tasks, subject to e.g. high dimensionality and significant portions of uncertainty regarding which patterns to look for in the data.

      October 2015 - September 2019 Informatics

      Decision support system warns of elevated levels in cereals

      Fusarium attacks on Swedish cereals in recent years have attracted increasing attention. While these attacks can lead to reduced harvests, the most serious effect is that this fungus can produce toxins. EU legislation has defined limit values for the content of Fusarium toxins because they are harmful to both humans and animals. Our project aims to develop a farm-based decision support system that will assess the risk of Fusarium attacks and elevated levels of deoxynivalenol (DON) in cereals. It can be used by both advisers/consultancies and farmers.

      January 2018 - June 2020 Informatics

      Teamwork through Interaction with Air Systems

      The project will study design elements of future air systems that offer cognitive support for increased team effectiveness. The project will investigate how the design of complex systems can benefit from taking the teamwork perspective.

      November 2019 - February 2022 Informatics

      A smarter society through Big Data analytics

      An unprecedented growth of data, fed by novel technologies, user behaviour and business models, is one of the most dramatic and important developments in both ICT and society at large. Most of this is Big Data, characterised by vast volume, high velocity, large variety and unknown veracity. These properties pose significant challenges when collecting, managing and processing data.

      January 2015 - January 2020 Informatics
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se