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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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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
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
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
Guimarães, G., Costa, I., Perkusich, M., Mendes, E., Santos, D., Almeida, H. & Perkusich, A. (2024). Investigating the relationship between personalities and agile team climate: A replicated study. Information and Software Technology, 169, Article 107407. https://doi.org/10.1016/j.infsof.2024.107407
Hallerstede, S. & Hatcliff, J. (2024). A Mechanized Semantics for Component-Based Systems in the HAMR AADL Runtime. In J. Cámara & S.-S. Jongmans (Eds.), Formal Aspects of Component Software: 19th International Conference, FACS 2023, Virtual Event, October 19-20, 2023, Revised Selected Papers (1 ed., pp. 45-64). Springer. https://doi.org/10.1007/978-3-031-52183-6_3
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
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, https://doi.org/10.35490/EC3.2024.199
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.
Knudsen, L. E. D., Wallace, J. & Sabroe, M. (2024). Mapping post-industrial areas through entanglements of time and space. In N. Lee, M. Mosavarzadeh, J. Ursino & R. Irwin (Eds.), Material and Digital A/r/tographic Explorations : Walking Matters (pp. 189-208). Springer. https://doi.org/10.1007/978-981-99-5374-5
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) (pp. 121-127). IEEE. https://doi.org/10.1109/ACSOS-C63493.2024.00042
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. 313-334). Springer. https://doi.org/10.1007/978-3-031-66719-0_13
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
Larsen, P. G., Talasila, P. & Fitzgerald, J. (2024). Towards the Composition of Digital Twins. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 103-122). Springer. https://doi.org/10.1007/978-3-031-67114-2_5
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
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
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. https://doi.org/10.1145/3652620.3688261
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
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
Sitarz, M. K. & Boudjadar, J. (2024). Smart Occupancy-driven Control for Ventilation Systems in Buildings with Privacy Concerns. In K. Arai (Ed.), Intelligent Systems and Applications: Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (pp. 773-791) https://doi.org/10.1007/978-3-031-47718-8_50
Staugaard, J., Bennedsen, J., Seidl, C., Nicolajsen, S., Fink, M. & Brabrand, C. (2024). Visualizing the Conceptual Framework of Object Orientation for Novice Programmers. In 2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings IEEE. https://doi.org/10.1109/FIE61694.2024.10893141
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
Tola, D. (2024). Enabling Digitalization in Modular Robotic Systems Integration. [PhD dissertation, Aarhus University]. Aarhus University.
Tola, D. & Corke, P. (2024). Understanding URDF: A Dataset and Analysis. IEEE Robotics and Automation Letters, 9(5), 4479-4486. Article 10478618. https://doi.org/10.1109/LRA.2024.3381482
Ul Haq, A., Mihovska, A., Lazaridis, P., Poor, H. V., Poulkov, V. K. & Beliatis, M. J. (2024). AI-Based Physical Layer Secret Key Exchange in Non-Terrestrial Wireless Communication Networks. In M. B. Matthews (Ed.), Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024 (pp. 711-715). IEEE. https://doi.org/10.1109/IEEECONF60004.2024.10942946
Vindbjerg, L. K. & Esterle, L. (2024). Generative Models for Temporal-based Task Definition. 109-114. Paper presented at 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems. https://doi.org/10.1109/ACSOS-C63493.2024.00040
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 IEEE. https://doi.org/10.1109/ETFA61755.2024.10710938
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
Abraham, E. (Ed.), Hallerstede, S. (Ed.), Hatcliff, J. (Ed.), Stewart, D. (Ed.) & Abou El Wafa, N. (2023). Integrated Rigorous Analysis in Cyber-Physical Systems Engineering. Dagstuhl Reports, 13(1), 155-183. https://doi.org/10.4230/DagRep.13.1.155
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). IEEE. https://doi.org/10.1109/ACSOS58161.2023.00021
Aher, G. R., Macedo, H. D., Larsen, P. G. & Ramanujan, D. (2023). Supporting Design for Circular Economy Using Lifecycle Co-Simulation. In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Article DETC2023-116537, V005T05A006; American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2023-116537
Alfalouji, Q., Schranz, T., Falay, B., Wilfling, S., Exenberger, J., Mattausch, T., Gomes, C. & Schweiger, G. (2023). Co-simulation for buildings and smart energy systems — A taxonomic review. Simulation Modelling Practice and Theory, 126, Article 102770. https://doi.org/10.1016/j.simpat.2023.102770
Andalibi, M., Shourangizhaghighi, A., Hajihosseini, M., Saaed Madani, S., Ziebert, C. & Boudjadar, J. (2023). Design and Simulation-Based Optimization of an Intelligent Autonomous Cruise Control System. Computers, 12(4), Article 84. https://doi.org/10.3390/computers12040084
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