Publications by Software Engineering & Computing Systems

Are you looking for publications by Section of Software Engineering & Computing Systems? On this page you can find all the publications made by the Section of Software Engineering & Computing Systems - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Boudjadar, J., Islam, S. U. & Buyya, R. (2025). Dynamic FPGA reconfiguration for scalable embedded artificial intelligence (AI): A co-design methodology for convolutional neural networks (CNN) acceleration. Future Generation Computer Systems, 169, Article 107777. https://doi.org/10.1016/j.future.2025.107777

Wright, T., Dennis, L. A., Woodcock, J. & Foster, S. (2025). Formal Verification of BDI Agents. In M. Hinchey & B. Steffen (Eds.), The Combined Power of Research, Education, and Dissemination: Essays Dedicated to Tiziana Margaria on the Occasion of Her 60th Birthday (pp. 302-326). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73887-6_20

Deantoni, J., Muñoz, P., Gomes, C., Verbrugge, C., Mittal, R., Heinrich, R., Bellis, S. & Vallecillo, A. (2025). Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems. Automatisierungstechnik: AT, 73(2), 81-99. https://doi.org/10.1515/auto-2024-0036

Betzer, J. S., Boudjadar, J., Frasheri, M. & Talasila, P. (2024). Digital Twin Enabled Runtime Verification for Autonomous Mobile Robots under Uncertainty. ArXiv. https://doi.org/10.48550/arXiv.2412.09913

Kamari, A. & Schultz, C. P. L. (2024). Streamlining BIM-integrated LCA for rapid-iterative-informed-early stage upfront carbon assessment by architects and engineers. Architecture, Structures and Construction, 5, Article 5. https://doi.org/10.1007/s44150-024-00122-2

Oakes, B., Gomes, C., Abbiati, G., Kamburjan, E., Bas, E. E. & Engelsgaard, S. (2024). Towards Ontological Service-Driven Engineering of Digital Twins. In Proceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (pp. 464-469). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3652620.3688261

Jensen, A. M. D., Schoerghofer-Queiroz, A., Ulriksen, M. D., Tcherniak, D., Damkilde, L., Talasila, P., Larsen, P. G. & Abbiati, G. (2024). Digital twin as a service for damage prognosis of offshore wind turbine foundations. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 4127-4141). KU Leuven, Departement Werktuigkunde.

Baş, E. E., Abbiati, G., Gonçalves Gomes, C. Â., Jassmann, U. & Larsen, P. G. (2024). Digitalization of Large-Scale Testing Facilities for the Wind Industry: DIGIT-BENCH Digital Twin. Journal of Physics: Conference Series, 2767(4), Article 042033. https://doi.org/10.1088/1742-6596/2767/4/042033

Tola, D., Gomes, C., Schultz, C., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a domain model for industrial robot system configurators. CEUR Workshop Proceedings, 2956.

Merhi, Y. (2025). Piezoelectric and Crystallinity Enhancements in Poly-L-Lactide Acid (PLLA) for Bioresorbable Biomedical Sensor.

Sharifirad, I. & Boudjadar, J. (2024). A Computationally-efficient Semi-supervised Learning Model for the Estimation of State Degradation of a Milling Tool. In 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 - Proceedings (pp. 187-192). IEEE. https://doi.org/10.1109/SAMI60510.2024.10432881

Armacki, A., Milosevic, N., Bajovic, D., Kar, S., Jakovetic, D., Bakhtiarnia, A., Esterle, L., Muscat, A. & Festi, T. (2023). Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities. In 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings (pp. 875-879). European Signal Processing Conference, EUSIPCO. https://doi.org/10.23919/EUSIPCO58844.2023.10289938

Esterle, L. (2022). Collaborative Systems: Learning and Working Together. CEUR Workshop Proceedings, 3461.

Wewer, C. R., Mahapatra, H., Esterle, L. & Larsen, P. G. (2024). Using FactoryML for Deployment of Machine Learning Models in Industrial Production. In T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter & F. Tramarin (Eds.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA61755.2024.10710938

Domini, D., Aguzzi, G., Esterle, L. & Viroli, M. (2024). Field-Based Coordination for Federated Learning. In I. Castellani & F. Tiezzi (Eds.), Coordination Models and Languages - 26th IFIP WG 6.1 International Conference, COORDINATION 2024, Held as Part of the 19th International Federated Conference on Distributed Computing Techniques, DisCoTec 2024, Proceedings (pp. 56-74). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-62697-5_4

Aguzzi, G., Viroli, M. & Esterle, L. (2023). Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks. In Proceedings - 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023 (pp. 37-46). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSOS58161.2023.00021

Larsen, P. G., Esterle, L., Fitzgerald, J. & Frasheri, M. (2023). Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 222-236). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-40132-9_14

Merhi, Y., Lozano Montero, K., Johansen, P., Mantysalo, M. & Agarwala, S. (2025). Evaluating Piezoelectric Performance of Biodegradable PLLA Film and Its Application for Aortic Annuloplasty. https://chemrxiv.org/engage/chemrxiv/article-details/677788f9fa469535b99d3829

Merhi, Y., Agarwala, S., Goumarre, V. O. Y., Lozano Montero, K., Mantysalo, M., Klarskov, P. & Amarasinghe, Y. (2024). THz Spectroscopy Analysis of Crystallinity Optimization for Enhanced Piezoelectricity in Biodegradable Poly-L-Lactide Acid. In FLEPS 2024 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings: Conference Proceedings (pp. 1-4). IEEE. https://doi.org/10.1109/FLEPS61194.2024.10604083

Kristensen, M. H., Bonizzi, A., Gomes, C., Hansen, S. T., Isasa Martin, C. I., Iven, H., Kamburjan, E., Larsen, P. G., Leucker, M., Talasila, P., Evans, V. T., Tonetta, S., Vosteen, L. B. & Wright, T. D. (2024). Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service. In 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) IEEE. https://doi.org/10.1109/ACSOS-C63493.2024

Homayoun, S., Haraldsdóttir, M., Lynge, E. & Jensen, C. D. (2024). Effective Noise Reduction in NDR Systems: A Simple Yet Powerful Apriori-Based Approach. Sensors, 24(20), Article 6547. https://doi.org/10.3390/s24206547

Dideriksen, A. K., Andersen, M. F., Priest, J., Eriksen, N. F., Frandsen, M. T., Melvad, C., Rasmussen, T. F., Nielsen, N. H. K., Strømsnes, C. T., Ahlebæk, M. J., Samsing, S., Larsen, T. B., Don, J., Pedersen, L. A. N., Jacobsen, R. H., Rysgaard, S., Kim, J. M., Bayer, R., Christensen, C. ... Karoff, C. (2024). DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research. Frontiers in Remote Sensing, 5, Article 1474560. https://doi.org/10.3389/frsen.2024.1474560

Evans, V. T., Gomes, C. & Lucani Rötter, D. E. (2025). Precision on Demand: Propositional Logic for Event-Trigger Threshold Regulation. IEEE Internet of Things Journal, 12(3), 2674-2689. https://doi.org/10.1109/JIOT.2024.3476922

Esterle, L., Frasheri, M. & Larsen, P. G. (2024). Autonomous Reconfguration Enabled by Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 345-362). Springer. https://doi.org/10.1007/978-3-031-66719-0_14

Kulik, T., Kazemi, Z. & Larsen, P. G. (2024). Security and Privacy-related Issues in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 313-344). Springer. https://doi.org/10.1007/978-3-031-66719-0_13

Oakes, B. J., Zhang, H., Hatledal, L. I., Feng, H., Frasheri, M., Sandberg, M., Gil Arboleda, S. & Gomes, C. (2024). Case Studies in Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12

Talasila, P., Mikkelsen, P. H., Gil Arboleda, S. & Larsen, P. G. (2024). Realising Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 225-256). Springer. https://doi.org/10.1007/978-3-031-66719-0_11

Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024). Advanced Digital Twin Services. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 209-221). Springer. https://doi.org/10.1007/978-3-031-66719-0_10

Frasheri, M., Katsaros, P., Iosifidis, A., Hansen, S. T., Gomes, C., Evans, V. T. & Larsen, P. G. (2024). System Monitoring through a Digital Twin. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 189-207). Springer. https://doi.org/10.1007/978-3-031-66719-0_9

H. Bohlbro, C., Macedo, H. D., Tola, D., Esterle, L. & Larsen, P. G. (2024). Visualisation in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 175-188). Springer. https://doi.org/10.1007/978-3-031-66719-0_8

Gomes, C., Feng, H., Kazemi, Z. & Pierce, K. (2024). Calibration of Models for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 129-146). Springer. https://doi.org/10.1007/978-3-031-66719-0_6

Abbiati, G., Gomes, C., Sandberg, M., Kazemi, Z., Hansen, S. T. & Larsen, P. G. (2024). Modelling for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 89-127). Springer. https://doi.org/10.1007/978-3-031-66719-0_5

Gomes, C., Oakes, B. J., Fitzgerald, J. & Larsen, P. G. (2024). Foundational Concepts for Digital Twins of Cyber-Physical Systems. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 45-63). Springer. https://doi.org/10.1007/978-3-031-66719-0_3

Fitzgerald, J., Larsen, P. G., Gomes, C., Charlton, R., Kristensen, K., Basagiannis, S. & Åkeson, J. (2024). The Potential of Digital Twins: Four Industry Perspectives. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 19-43). Springer. https://doi.org/10.1007/978-3-031-66719-0_2

Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15

Gomes, C., Lucani Rötter, D. E., Iosifidis, A., Feng, H., Ejersbo, H. & Frasheri, M. (2024). Sensing and Communication of Data from the Physical Twin. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 147-171). Springer. https://doi.org/10.1007/978-3-031-66719-0_7#citeas

Šeta, B., Sandberg, M., Brander, M., Mollah, M. T., Pokkalla, D. K., Kumar, V. & Spangenberg, J. (2024). Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing. Additive Manufacturing, 92, Article 104396. https://doi.org/10.1016/j.addma.2024.104396

Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. In Proceedings of the 6th IFAC International Workshop on Advance Maintenance Engineering, Services and Technology (AMEST 2024) (8 ed., Vol. 58, pp. 162-167). Elsevier. https://doi.org/10.1016/j.ifacol.2024.08.067

Fitzgerald, J., Gomes, C. & Larsen, P. G. (Eds.) (2024). The Engineering of Digital Twins. Springer, Cham. https://doi.org/10.1007/978-3-031-66719-0

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2024). Developing A Building Simulation Identity Card for Enhanced Safety and Collaboration in Emergency Evacuation Simulations. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 128-135) https://doi.org/10.35490/EC3.2024.199

Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2024). The Anatomy of an Architect´s Argument: Formally Capturing Socially-Oriented Design Intentions in the Built Environment. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 268-275) https://doi.org/10.35490/EC3.2024.186

Nordtorp, F., Baş, E. E., Gomes, C. & Abbiati, G. (2024). A Hybrid Testing Framework for Wind Turbine Mechanical Components. Journal of Physics: Conference Series, 2767(5), Article 052046. https://doi.org/10.1088/1742-6596/2767/5/052046

Lokan, C. & Mendes, E. (2006). Cross-company and Single-company Effort Models using the ISBSG Database: a Further Replicated Study. In ISCE'06 - Proceedings of the 5th ACM-IEEE International Symposium on Empirical Software Engineering (pp. 75–84). Association for Computing Machinery. https://doi.org/10.1145/1159733.1159747

de la Cour, J. D., Johnsen, C.-J. & Avery, J. E. (2024). Lockstep-Parallel Dualization of Surface Triangulations. In PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference Article 9 Association for Computing Machinery. https://doi.org/10.1145/3659914.3659923

Kazemi, Z., Yildiz, E. & Larsen, P. G. (2024). Enabling Flexible Manufactuirng in Wind Industry Based on Movable Factory Concept: Definitions, Requirements, and Challenges. In 2024 IEEE International Conference on Industrial Technology (ICIT) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT58233.2024.10540826

Caro, A., Calero, C., Mendes, E. & Piattini, M. (2007). A Probabilistic Approach to Web Portal’s Data Quality Evaluation. In 6th International Conference on the Quality of Information and Communications Technology (QUATIC 2007) (pp. 3-11). Article 4335229 IEEE. https://doi.org/10.1109/QUATIC.2007.10

Corazza, A., Di Martino, S., Ferrucci, F., Gravino, C. & Mendes, E. (2009). Applying Support Vector Regression for Web Effort Estimation using a Cross-Company Dataset. In 2009 3rd International Symposium on Empirical Software Engineering and Measurement, ESEM 2009 (pp. 191-202). Article 5315991 IEEE. https://doi.org/10.1109/ESEM.2009.5315991

Corazza, A., DI MARTINO, SERGIO., FERRUCCI, FILOMENA., GRAVINO, CARMINE., Sarro, F. & Mendes, E. (2010). How Effective is Tabu search to configure support vector regression for effort estimation? In 6th International Conference on Predictive Models in Software Engineering, PROMISE 2010 (pp. 1–10). Article 4 Association for Computing Machinery. https://doi.org/10.1145/1868328.1868335

Turhan, B. & Mendes, E. (2014). A Comparison of Cross- versus Single-company Effort Prediction Models for Web Projects. In R. Rabiser, R. Torkar & R. Torkar (Eds.), Proceedings - 40th Euromicro Conference Series on Software Engineering and Advanced Applications, SEAA 2014 (pp. 285-292). Article 6928824 IEEE. https://doi.org/10.1109/SEAA.2014.41

Gil Arboleda, S. (2024). Towards realization of Digital Twins for systems with coupled behavior. Aarhus University. https://doi.org/10.7146/aul.545

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Revised 10.08.2023

AU Engineering