Aarhus Universitets segl

Publications within Software Engineering & Computing Systems

Abraham, E. (red.), Hallerstede, S. (red.), Hatcliff, J. (red.), Stewart, D. (red.) & 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
Kakavandi, F., Han, P., de Reus, R., Larsen, P. G. & Zhang, H. (2023). Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications. I 2023 International Conference on Control, Automation and Diagnosis (ICCAD 2023) IEEE. https://doi.org/10.1109/ICCAD57653.2023.10152435
Merhi, Y., Betancur, P. F., Ripolles, T. S., Suetta, C., Brage-Andersen, M. R., Hansen, S. K., Frydenlund, A., Nygaard, J. V., Mikkelsen, P. H., Boix, P. P. & Agarwala, S. (2023). Printed dry electrode for neuromuscular electrical stimulation (NMES) for e-textile. Nanoscale, 15(11), 5337-5344. https://doi.org/10.1039/d2nr06008f
Aher, G. R., Macedo, H. D., Larsen, P. G. & Ramanujan, D. (2023). Supporting Design for Circular Economy Using Lifecycle Co-Simulation. I ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Artikel DETC2023-116537, V005T05A006; American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2023-116537
Hansen, S. T., Gomes, C. & Kazemi, Z. (2023). Synthesizing Orchestration Algorithms for FMI 3.0. I M. J. Blas & G. Alvarez (red.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (s. 184-195). IEEE. https://ieeexplore.ieee.org/document/10155361
Legaard, C. M. (2023). The Next Paradigm for Modeling and Simulation? Integrating Machine Learning Methods in FMI-based Co-Simulation. [Ph.d.-afhandling, Aarhus Universitet]. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.
Zayed, Y. N. H. (2023). Towards a Human-Centered Framework for the Assessment of Subjective Social Values in Buildings. I J. Vanthienen, T. Kliegr, P. Fodor, D. Lanti, D. Arndt, E. V. Kostylev, T. Mitsikas & A. Soylu (red.), RuleML+RR-Companion 2023: RuleML+RR Challenge and Doctoral Consortium 2023 (Bind 3485). CEUR-WS.org. https://ceur-ws.org/Vol-3485/paper6908.pdf
Kakavandi, F., Gomes, C., de Reus, R., Badstue, J., Jensen, J. L., Larsen, P. G. & Iosifidis, A. (2023). Towards Developing a Digital Twin for a Manufacturing Pilot Line: An Industrial Case Study. I E. Karaarslan, Ö. Aydin, Ü. Cali & M. Challenger (red.), Digital Twin Driven Intelligent Systems and Emerging Metaverse (s. 39-64). Springer. https://doi.org/10.1007/978-981-99-0252-1_2
Bennedsen, J. & Øien, G. (2023). TRANSNATIONAL COLLABORATION ON LIFELONG LEARNING BETWEEN HIGHER ENGINEERING EDUCATION INSTITUTIONS: A UNIVERSITY PERSPECTIVE. I G. Reilly, M. Murphy, B. V. Nagy & H.-M. Jarvinen (red.), SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (s. 173-182). European Society for Engineering Education (SEFI). https://doi.org/10.21427/2F51-E932
Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience. I Y. Jingang (red.), 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) IEEE. https://doi.org/10.1109/CASE56687.2023.10260660
Tøttrup, M. F., Hu, E. C., Kramer, B. A., Macedo, H. D. & Esterle, L. (2023). Using INTO-CPS Tools in the Development of a Digital Twin for the F1TENTH Race Car. I P. Masci, C. Bernardeschi, P. Graziani, M. Koddenbrock & M. Palmieri (red.), Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops: International Conference on Software Engineering and Formal Methods (s. 200-209). Springer. https://doi.org/10.1007/978-3-031-26236-4_18
Sharifirad, I. & Boudjadar, J. (2024). A Computationally-efficient Semi-supervised Learning Model for the Estimation of State Degradation of a Milling Tool. I 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 - Proceedings (s. 187-192). IEEE. https://doi.org/10.1109/SAMI60510.2024.10432881
Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024). Advanced Digital Twin Services. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 209-222). Springer. https://doi.org/10.1007/978-3-031-66719-0_10
Boudjadar, J. & Islam, S. U. (2024). AgriScanNet-18: A Robust Multilayer CNN for Identification of Potato Plant Diseases. 291-308. Afhandling præsenteret på Intelligent Systems Conference, Amsterdam, Holland. https://doi.org/10.1007/978-3-031-47724-9_20
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. IFAC-PapersOnLine, 58(8), 162-167. https://doi.org/10.1016/j.ifacol.2024.08.067
Hallerstede, S. & Hatcliff, J. (2024). A Mechanized Semantics for Component-Based Systems in the HAMR AADL Runtime. I J. Cámara & S.-S. Jongmans (red.), Formal Aspects of Component Software: 19th International Conference, FACS 2023, Virtual Event, October 19-20, 2023, Revised Selected Papers (1 udg., s. 45-64). Springer. https://doi.org/10.1007/978-3-031-52183-6_3
Bennedsen, J., Øien, G. E. D., Foo, E., Goh, E., Roslöf, J., Cheah, S. M. & Gelten, H. (2024). An international university perspective on barriers and enablers for lifelong learning in engineering. I L. Bettaieb, N. Ajailia, J. Bennedsen, K. Edstrom, M. N. Singh, R. Lyng, N. Maynard, J. Malmqvist & F. Bystrom (red.), 20th International CDIO Conference, CDIO 2024 - Proceedings (s. 481-494). Chalmers tekniska högskola.
Bennedsen, J. & Øien, G. E. D. (2024). A unified didactic foundation for Aarhus University's tech faculty: Experiences and impact. I L. Bettaieb, N. Ajailia, J. Bennedsen, K. Edstrom, M. N. Singh, R. Lyng, N. Maynard, J. Malmqvist & F. Bystrom (red.), 20th International CDIO Conference, CDIO 2024 - Proceedings (s. 458-471). Chalmers tekniska högskola.
Esterle, L., Frasheri, M. & Larsen, P. G. (2024). Autonomous Reconfiguration Enabled by Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 345-362). Springer. https://doi.org/10.1007/978-3-031-66719-0_14
Gomes, C., Feng, H., Kazemi, Z. & Pierce, K. (2024). Calibration of Models for Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 129-146). Springer. https://doi.org/10.1007/978-3-031-66719-0_6
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. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12
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. I M. Srećković, M. Kassem, R. Soman & A. Chassiakos (red.), Proceedings of the 2024 European Conference on Computing in Construction (s. 128-135) 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. I W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (red.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (s. 4127-4141). KU Leuven, Departement Werktuigkunde.
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, Artikel 1474560. https://doi.org/10.3389/frsen.2024.1474560
Casadei, R., Esterle, L., Gamble, R., Harvey, P. & Wanner, E. F. (2024). Editorial: Understanding and engineering cyber-physical collectives. Frontiers in Robotics and AI, 11, Artikel 1407421. https://doi.org/10.3389/frobt.2024.1407421
Bettaieb, L., Ajailia, N., Bennedsen, J., Edström, K., Singh, M. N., Lyng, R., Maynard, N., Malmqvist, J. & Byström, F. (2024). Editorial. Proceedings of the International CDIO Conference, IV-V.
Tola, D. (2024). Enabling Digitalization in Modular Robotic Systems Integration. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Kakavandi, F. (2024). Enabling Fault Detection in an Industrial Medical Device Assembly Process. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus University.
Domini, D., Aguzzi, G., Esterle, L. & Viroli, M. (2024). Field-Based Coordination for Federated Learning. I I. Castellani & F. Tiezzi (red.), 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 (s. 56-74). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-62697-5_4
Gomes, C., Oakes, B. J., Fitzgerald, J. & Larsen, P. G. (2024). Foundational Concepts for Digital Twins of Cyber-Physical Systems. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 45-63). Springer. https://doi.org/10.1007/978-3-031-66719-0_3