Conference Papers

Hendriks, T., Akesson, B., Voeten, J., Hendriks, M., Parada, J. C., García-Gordillo, M., … & Valls, J. J. (2023, April). Thirteen concepts to play it safe with the cloud. In 2023 IEEE International Systems Conference (SysCon) (pp. 1-7). IEEE.

Mariani, S., Klomp, S. R., & Romijnders, R. (2023). The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection. In VISIGRAPP (5: VISAPP) (pp. 723-730). SciTePress Digital Library.

Huang, Y. W., Prehofer, C., Lindskog, W., Puts, R., Mosca, P., & Kauermann, G. (2023, April). Predictive Energy Management for Battery Electric Vehicles with Hybrid Models. In Intelligent Transport Systems: 6th EAI International Conference, INTSYS 2022, Lisbon, Portugal, December 15-16, 2022, Proceedings (pp. 182-196). Cham: Springer Nature Switzerland.

Tuschkan, A., Ratzke, W., Belnarsch, A., Aras, C., Simon C. (2022, November). Combining conventional and machine learning approaches to predict battery degradation based on connected vehicle fleets. 20. VDI-Kongress mit Fachaustellung SIMVEC 2022 – Aktuelle Herausforderungen bei der Auslegung und Absicherung von Fahrzeugsystemen. Not peer-reviewed.

Salomon, E., Boano, C. A., & Römer, K. (2022, October). Poster: Improving the Reliability of BLE Communications through Packet-level Adaptations on a Per-Channel Basis. In Proceedings of the 2022 INTERNATIONAL CONFERENCE ON EMBEDDED WIRELESS SYSTEMS AND NETWORKS (pp. 210-211).

Gómez, A., Alfonso, I., Coronel, J., Esclapez, M. D., & Ferrer, J. TRANSACT: Towards safe and secure distributed cyber-physical systems.

Alfonso, I., Garcés, K., Castro, H., & Cabot, J. Modelado de Sistemas IoT para la Industria en Minerıa Subterránea de Carbón.

Lindskog, W., & Prehofer, C. (2022, September). Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case. In 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP) (pp. 105-111). IEEE.

Del Castillo, M., Hermosa, H., Astillo, P. V., Choudhary, G., & Dragoni, N. (2023, February). Software-Defined Network Based Secure Internet-Enabled Video Surveillance System. In Information Security Applications: 23rd International Conference, WISA 2022, Jeju Island, South Korea, August 24–26, 2022, Revised Selected Papers (pp. 89-101). Cham: Springer Nature Switzerland.

Nelissen, G., Marcè i Igual, J., & Nasri, M. (2022). Response-time analysis for non-preemptive periodic moldable gang tasks. In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Schloss Dagstuhl-Leibniz-Zentrum für Informatik. https://DOI:10.4230/LIPIcs.ECRTS.2022.12  

Gohari, P., Nasri, M., & Voeten, J. (2022, June). Data-Age Analysis for Multi-Rate Task Chains under Timing Uncertainty. In Proceedings of the 30th International Conference on Real-Time Networks and Systems (pp. 24-35).

Iván Alfonso, Kelly Garcés, Harold Castro and Jordi Cabot, “Modeling Self-Adaptative IoT Architectures“, SAM2021: System Analysis and Modelling: Agility and DevOps.

H. Brunner, M. Stocker, M. Schuh, M. Schuß, C.A. Boano, and K. Römer, “Understanding and Mitigating the Impact of Wi-Fi 6E Interference on Ultra-Wideband Communications and Ranging“, 21st International Conference on Information Processing in Sensor Networks (IPSN).

Joan Giner-Miguelez, Abel Gómez, Jordi Cabot, “Enabling Content Management Systems as an Information Source in Model-driven Projects“, 16th International Conference on Research Challenges in Information Science.

Dogan Altan, Mohammad Etemad, Dusica Marijan, Tetyana Kholodna, “Discovering Gateway Ports in Maritime Using Temporal Graph Neural Network Port Classification“, 35th Canadian Conference on Artificial Intelligence (Canadian AI 2022).

Journal Papers

De Backer, O., Iriart, X., Kefer, J., Nielsen-Kudsk, J. E., Aminian, A., Rosseel, L., … & Garot, P. (2023). Impact of computational modeling on transcatheter left atrial appendage closure efficiency and outcomes. Cardiovascular Interventions, 16(6), 655-666.

Alfonso, I., Garcés, K., Castro, H., & Cabot, J. (2023). A model-based infrastructure for the specification and runtime execution of self-adaptive IoT architectures. Computing, 1-24.

Zaman, B., Marijan, D., & Kholodna, T. (2023). Interpolation-Based Inference of Vessel Trajectory Waypoints from Sparse AIS Data in Maritime. Journal of Marine Science and Engineering, 11(3), 615.

Altan, D., Marijan, D., & Kholodna, T. (2023). SafeWay: Improving the safety of autonomous waypoint detection in maritime using transformer and interpolation. Maritime Transport Research, 4, 100086.

Joshi, S., Anithaashri, T. P., Rastogi, R., Choudhary, G., & Dragoni, N. (2023). IEDA-HGEO: Improved Energy Efficient with Clustering-Based Data Aggregation and Transmission Protocol for Underwater Wireless Sensor Networks. Energies, 16(1), 353.

Savary‐Leblanc, M., Burgueño, L., Cabot, J., Le Pallec, X., & Gérard, S. (2023). Software assistants in software engineering: A systematic mapping study. Software: Practice and Experience, 53(3), 856-892.

Burgueno, L., Munoz, P., Clarisó, R., Cabot, J., Gérard, S., & Vallecillo, A. (2023). Dealing with belief uncertainty in domain models. ACM Transactions on Software Engineering and Methodology, 32(2), 1-34.

Robert Clarisó, Jordi Cabot, “User-driven diverse scenario exploration in model finders“ in Science of Computer Programming, Elsevier.

Iván Alfonso, Kelly Garcés, Harold Castro and Jordi Cabot, “Self-adaptive architectures in IoT systems: a systematic literature review”, in Journal of Internet Services and Applications.

Books and Book Chapters

“Reference Architectures for Automotive Software“ in E. K Nakagawa, P. O. Antonino, “Reference Architectures for Critical Domains: Industrial Uses and Impacts”, Springer, to appear.