Scientific Publications

Conference Papers

Scholte, D., Urselmann, T. T. G., Zwemer, M. H., & Bondarev, E. (2024). Automated Generation of Instance Segmentation Labels for Traffic Surveillance Models. In 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024 (pp. 350-358). SciTePress Digital Library.  https://doi.org/10.5220/0012319500003660

Groth, M., Domanski, K., Nyka, K., & Kulas, L. (2024, March). Highly Precised and Efficient Robot-Based ESPAR Antenna Measurements in Realistic Environments. In 2024 18th European Conference on Antennas and Propagation (EuCAP) (pp. 1-5). IEEE. https://doi.org/10.23919/EuCAP60739.2024.10501017

Gohari, P., Voeten, J., & Nasri, M. (2023, December). Work-in-Progress: Tight Response-Time Analysis for Periodic Preemptive Tasks Under Global Scheduling. In 2023 IEEE Real-Time Systems Symposium (RTSS) (pp. 451-454). IEEE. https://doi.org/10.1109/RTSS59052.2023.00050

Gallacher, M., Stocker, M., Baddeley, M., Römer, K. U., & Boano, C. A. (2023, June). InSight: Enabling NLOS Classification, Error Correction, and Anchor Selection on Resource-Constrained UWB Devices. In International Conference on Embedded Wireless Systems and Networks: EWSN 2023. Association of Computing Machinery. https://dl.acm.org/doi/10.5555/3639940.3639959

Prehofer, Christian. (2023). Federated Learning for Automotive Applications. ITS World Congress, Suzhou, China.  https://www.researchgate.net/publication/380603776_Federated_Learning_for_Automotive_Applications

Lindskog, W., & Prehofer, C. (2023, September). A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks. In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 239-246). IEEE https://arxiv.org/pdf/2405.02074

Lindskog, W., Spannagl, V., & Prehofer, C. (2023, September). Federated Learning for Drowsiness Detection in Connected Vehicles. In International Conference on Intelligent Transport Systems (pp. 165-178). Cham: Springer Nature Switzerland. https://doi.org/10.48550/arXiv.2405.03311

Gohari, P., Voeten, J., & Nasri, M. (2023, August). Response-time Analysis of Fault-Tolerant Hard Real-Time Systems Under Global Scheduling. In 2023 IEEE 29th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (pp. 263-264). IEEE. https://doi.org/10.1109/RTCSA58653.2023.00039

García-Gordillo, M., Valls, J. J., Sáez, S., Coronel, J.: Marco para el diseño de aplicaciones multimodo sobre un sistema distribuido jerárquico. In: Durán Toro, A. (ed.) Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023). Sistedes (2023). https://hdl.handle.net/11705/JISBD/2023/7892

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. https://doi.org/10.1109/SysCon53073.2023.10131180

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. https://doi.org/10.5220/0011725900003417

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. https://link.springer.com/chapter/10.1007/978-3-031-30855-0_13

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. https://www.vdi-nachrichten.com/shop/simvec-2022/

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). https://ewsn2022.pro2future.at/paper/posters+demos/ewsn22posters-final81.pdf

Gómez, A., Alfonso, I., Coronel, J., Esclapez, M. D., & Ferrer, J. TRANSACT: Towards safe and secure distributed cyber-physical systems. http://hdl.handle.net/11705/JISBD/2022/5735

Alfonso, I., Garcés, K., Castro, H., & Cabot, J. Modelado de Sistemas IoT para la Industria en Minerıa Subterránea de Carbón. http://hdl.handle.net/11705/JISBD/2022/8557

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. https://ieeexplore.ieee.org/abstract/document/10053975

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. https://doi.org/10.1007/978-3-031-25659-2_7

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). https://doi.org/10.1145/3534879.3534893

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). https://graz.pure.elsevier.com/en/publications/understanding-and-mitigating-the-impact-of-wi-fi-6e-interference-

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.  https://doi.org/10.1007/978-3-031-05760-1_30

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). https://arxiv.org/abs/2204.11855

Journal Papers

Hendriks, M., Verriet, J., & Basten, T. (2024). Visualization, transformation, and analysis of execution traces with the eclipse TRACE4CPS trace tool. International Journal on Software Tools for Technology Transfer, 1- 26. https://doi.org/10.1007/s10009-024-00736-3

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. https://doi.org/10.1016/j.martra.2023.100086

Zaman, B., Altan, D., Marijan, D., & Kholodna, T. (2023). Reactive buffering window trajectory segmentation: RBW-TS. Journal of Big Data, 10(1), 123. https://link.springer.com/article/10.1186/s40537-023-00799-0

Dangi, R., Choudhary, G., Dragoni, N., Lalwani, P., Khare, U., & Kundu, S. (2023, December). 6G Mobile Networks: Key Technologies, Directions, and Advances. In Telecom (Vol. 4, No. 4, pp. 836-876). MDPI. https://doi.org/10.3390/telecom4040037

Latvakoski, J., Kyllönen, V., & Ronkainen, J. (2023). Decentralised IOTA-Based Concepts of Digital Trust for Securing Remote Driving in an Urban Environment. IoT, 4(4), 582-609. https://doi.org/10.3390/iot4040025

Verma, P., Gupta, A., Dangi, R., Choudhary, G., Dragoni, N., & You, I. (2024). FC-CACPHS: fog-cloud assisted context-aware framework for cyber-physical healthcare system. International Journal of Ad Hoc and Ubiquitous Computing, 45(3), 186-199. https://doi.org/10.1504/IJAHUC.2024.137505

Sihag, V., Choudhary, G., Choudhary, P., & Dragoni, N. (2023). Cyber4Drone: A Systematic Review of Cyber Security and Forensics in Next-Generation Drones. Drones, 7(7), 430. https://doi.org/10.3390/drones7070430

Akkermann, A., & Hjollo, B. A. (2023). APPLICATION OF A SIMULATION-BASED V&V APPROACH TO AUTOMATIC VOYAGE PLANNING. AIRCC Publishing Corporation, 13(19), 109-129. https://doi.org/10.5121/csit.2023.131909

Ranjha, S., Gohari, P., Nelissen, G., & Nasri, M. (2023). Partial-order reduction in reachability-based response- time analyses of limited-preemptive DAG tasks. Real-Time Systems, 59(2), 201-255. https://doi.org/10.1007/s11241-023-09398-x

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. https://doi.org/10.1016/j.jcin.2023.01.008

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. https://doi.org/10.1007/s00607-022-01145-7

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.  https://doi.org/10.3390/jmse11030615

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. https://doi.org/10.1016/j.martra.2023.100086

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. https://doi.org/10.3390/en16010353

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. https://doi.org/10.1002/spe.3170

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. https://doi.org/10.1145/3542947

Robert Clarisó, Jordi Cabot, “User-driven diverse scenario exploration in model finders“ in Science of Computer Programming, Elsevier. https://doi.org/10.1016/j.scico.2021.102745

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. https://arxiv.org/abs/2109.03312

Books and Book Chapters

auer, T., Barkowski, D., Bachorek, A., Morgenstern, A. (2023). Reference Architectures for Automotive Software. In: Nakagawa, E.Y., Oliveira Antonino, P. (eds) Reference Architectures for Critical Domains . Springer, Cham. https://doi.org/10.1007/978-3-031-16957-1_5

Workshop Papers

Lindskog, W., Prehofer, C., & Singh, S. (2023, September). Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data. In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 182-189). IEEE. https://arxiv.org/pdf/2405.02067

Bachorek, A., & Jung, J. (2023, May). Establishing virtual test-driven development environments in the automotive domain: A continuous engineering approach. In 2023 IEEE/ACM 11th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS) (pp. 54-57). IEEE. https://doi.org/10.1109/SESoS59159.2023.00013