Welcome
I am currently a Senior Lecturer at the Department
of Mathematics, Statistics and Computer Science at the
University of Cantabria
Here you will find information related to my teaching
and research activities, including some of my publications
If you are interested in my work or have any inquiries regarding potential research collaborations, feel free to reach out through the contact section.
Research
Research Lines
- Development and application of Software Engineering techniques in Human-Computer Interaction
- Computer-Supported Cooperative Work/Computer-Supported Collaborative Learning
- m-Health/u-Health
Research Group Affiliation
Recent Articles
S. Salomón, R. Duque, S. Bringas, K.M de Oliveira. Quality-in-Use in Practice: A Study for Context-Aware Software Systems in Pervasive Environments. Journal of Software: Evolution and Process, 37: e2764, 2025, doi: 10.1002/smr.2764
S. Bringas, R. Duque, C. Lage and J. L. Montaña. CLADSI: Deep Continual Learning for Alzheimer's Disease Stage Identification using accelerometer data. IEEE Journal of Biomedical and Health Informatics, vol.28, 6, pp. 3401-3410, 2024, doi: 10.1109/JBHI.2024.3392354.
C. Bravo, R. Duque, A. I. Molina and J. Gallardo. Modeling Awareness Requirements in Groupware: From Cards to Diagrams. IEEE Transactions on Human-Machine Systems, vol. 54, no. 1, pp. 56-67, Feb. 2024, doi: 10.1109/THMS.2023.3332592.
R. Duque, C. Bravo, S. Bringas and D. Postigo. Leveraging a visual language for the awareness-based design of interaction requirements in digital twins. Future Generation Computer Systems, vol. 153, pp. 41-51, 2024, doi: 10.1016/j.future.2023.11.018.
M. P. C. Angeloni, R. Duque, K. M. de Oliveira, E. G.-L. Strugeon, and C. Tirnauca. A Tertiary Study on Quality in Use Evaluation of Smart Environment Applications. In: Araújo, J., de la Vara, J.L., Santos, M.Y., Assar, S. (eds) Research Challenges in Information Science. RCIS 2024. Lecture Notes in Business Information Processing, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-031-59465-6_8
C. Vicedo, C. A. Nieto-Reyes, S. Bringas, R.Duque, C. Lage and J.L. Montaña. Automatic apraxia detection using deep convolutional neural networks and similarity methods. Machine Vision and Applications 34, 60, 2023, https://doi.org/10.1007/s00138-023-01413-2.
S. Salomón, S. Bringas, R. Duque, J. L. Montaña and A. J. González. Wildlife Species Recognition Using Deep Learning. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, 2023, pp. 221-227, doi: 10.1109/SMC53992.2023.10394465.
M.P.C. Angeloni, K.M. de Oliveira, E. Grislin-Le Strugeon, R. Duque and C. Tirnauca. A Review on Quality in Use Evaluation of Smart Environment Applications: What’s Next? . Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, Association for Computing Machinery, Swansea, United Kingdom, 2023: pp. 9–15
Profiles in Some Publication Databases
Ongoing Research Projects
- Research on AutoML techniques and algorithms. Funding body: Technological Component Center. Reference: TCNIC 2022. Execution period: 2023 to 2026. Main researcher.
- LIAISON: Lowering transport environmental impact along the whole life cycle of the future transport infrastructure. Execution period: 2023-2025. Funding body: European Commission; Tecnalia Research & Innovation Foundation.
- CIRCUIT: Holistic approach to foster circular and resilient transport infrastructures and support the deployment of green and innovative public procurement and engineering practices. Execution period: 2023-2026. Forum des laboratoires nationaux européens de recherche routière; European Commission.
- HAMELIN: Human-guided Automatic Machine Learning for Clinical Studies. Funding body: Government of Spain (Ministry of Science, Innovation and Universities). Reference: PID2023-146243OB-I00. Execution period: 2024-2027. Main researcher.
Supervised PhD Theses
International Collaborators