Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi.

Publikationsliste

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Gautam, C., Tiwari, A., Mishra, P. K., Suresh, S., Iosifidis, A. & Tanveer, M. (2021). Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cognitive Computation, 13(2), 552-569. https://doi.org/10.1007/s12559-020-09804-7

Heidari, N., Hedegaard Morsing, L. & Iosifidis, A. (2022). Graph convolutional networks. I A. Iosifidis & A. Tefas (red.), Deep Learning for Robot Perception and Cognition (s. 71-99). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00009-9

Chen, Y., Liu, H., Liu, Y., Xie, J., Yang, R., Yuan, H., Fu, Y., Zhou, P. Y., Chen, Q., Caverlee, J. & Li, I. (2025). GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. I W. Che, J. Nabende, E. Shutova & M. T. Pilehvar (red.), Proceedings of the Annual Meeting of the Association for Computational Linguistics: Volume 1: Long Papers (s. 14976-14995). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-long.729

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Graph-Aided Multivariate Signal Decomposition. I International Conference on Frontiers of Signal Processing (ICFSP) (s. 169-173) https://doi.org/10.1109/ICFSP62546.2024.10785500

Shreya, S., Jenkins, A., Rezaeiyan, Y., Li, R., Bohnert, T., Benetti, L., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Granular vortex spin-torque nano oscillator for reservoir computing. Scientific Reports, 13(1), Artikel 16722. https://doi.org/10.1038/s41598-023-43923-z

Fridorf, O., Bjørnskov, L. M. R., Jenkins, A., Benetti, L., Shreya, S., Rezaeiyan, Y., Böhnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2025). Granular Spintronics-based Reservoir Computing for Temporal Applications. I ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings IEEE. https://doi.org/10.1109/ISCAS56072.2025.11043748

Frasheri, M., Miloradovic, B., Esterle, L. & Papadopoulos, A. V. (2023). GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem. Proceedings (IEEE Symposium Series on Computational Intelligence), 1696-1703. https://doi.org/10.1109/SSCI52147.2023.10371893

Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2023). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal, 10(5), 4006-4020. https://doi.org/10.1109/JIOT.2022.3166455

Le Fevre Sejersen, J., Suzumura, T. & Kayacan, E. (2025). GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning. I C. Laugier, A. Renzaglia, N. Atanasov, S. Birchfield, G. Cielniak, L. De Mattos, L. Fiorini, P. Giguere, K. Hashimoto, J. Ibanez-Guzman, T. Kamegawa, J. Lee, G. Loianno, K. Luck, H. Maruyama, P. Martinet, H. Moradi, U. Nunes, J. Pettre, A. Pretto, T. Ranzani, A. Ronnau, S. Rossi, E. Rouse, F. Ruggiero, O. Simonin, D. Wang, M. Yang, E. Yoshida ... H. Zhao (red.), IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings (s. 10556-10563). IEEE. https://doi.org/10.1109/IROS60139.2025.11246312

Heidari, N. & Iosifidis, A. (2025). Geometric Deep Learning for Computer-Aided Design: A Survey. IEEE Access, 13, 119305-119334. https://doi.org/10.1109/ACCESS.2025.3587121

Vindbjerg, L. K. & Esterle, L. (2024). Generative Models for Temporal-based Task Definition. 109-114. Afhandling præsenteret på 5th IEEE International Conference on Autonomic Computing and Self-Organizing Systems. https://doi.org/10.1109/ACSOS-C63493.2024.00040

Pham, X. H., Bozcan, I., Sarabakha, A., Haddadin, S. & Kayacan, E. (2021). GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing. 4176-4183. Afhandling præsenteret på 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, Prag, Tjekkiet. https://doi.org/10.1109/IROS51168.2021.9636207

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. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15

Naveed, K. & Rehman, N. U. (2025). Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising. Measurement: Journal of the International Measurement Confederation, 242(Part E), Artikel 116142. https://doi.org/10.1016/j.measurement.2024.116142

Nielsen, L. & Heck, M. (2021). Fully integrated 45-GHz harmonically mode-locked ring laser with an intra-cavity Mach–Zehnder filter. Optics Letters, 46(4), 880-883. https://doi.org/10.1364/OL.415356

Rashidi, A., Yazdani, N. & Sodagar, A. M. (2021). Fully implantable, multi-channel microstimulator with tracking supply ribbon, multi-output charge pump and energy recovery. IET Circuits, Devices & Systems, 15(2), 104-120. https://doi.org/10.1049/cds2.12007

Saleem, B., Badar, R., Manzoor, A., Judge, M. A., Boudjadar, J. & Islam, S. U. (2022). Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System. IEEE Access, 10, 36464-36476. https://doi.org/10.1109/ACCESS.2022.3164455

Pham, H. X. & Kayacan, E. (2025). FROST: Fusion and Multimodal 3D Reconstruction of Icy Surfaces for Robotic Exploration. I 2025 IEEE Symposium on Computational Intelligence on Engineering/Cyber Physical Systems Companion, CIES Companion 2025 IEEE. https://doi.org/10.1109/CIESCompanion65073.2025.11010821

Wu, S., Deng, S., Wei, X., Asif, M. R., Vignoli, G. & Farquharson, C. G. (2025). Frontiers in electromagnetic geophysics - Introduction. Geophysics, 90(3), WAi-WAii. https://doi.org/10.1190/geo2025-0312-spseintro.1

Zayed, Y. N. H., Kamari, A. & Schultz, C. P. L. (2026). From Natural-Language Description to Formalization: Capturing Human-Centered Social Design Intentions in BIM Using Large Language Models. Journal of Intelligent Construction. Advance online publication. https://doi.org/10.26599/JIC.2026.9180119

Grombacher, D., Griffiths, M. P., Liu, L., Vang, M. & Larsen, J. J. (2022). Frequency Shifting Steady-State Surface NMR Signals to Avoid Problematic Narrowband-Noise Sources. Geophysical Research Letters, 49(7), Artikel e2021GL097402. https://doi.org/10.1029/2021GL097402

Shreya, S., Jenkins, A., Bohnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Frequency Sensing and Detection using Granular Vortex MTJ Nano Oscillator. Poster-session præsenteret på IEEE INTERMAG Conference, Japan. https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228828

Thomsen, S. T., Brusatori, M. F., Arent, N. H., Kumar, R. R. & Volet, N. (2023). Frequency noise measurements using coherent self-heterodyne detection. Optics Letters, 48(24), 6372-6375. https://doi.org/10.1364/OL.505960

Moradi, F. & Zamani, M. (2021). Fremtiden for implanterbare mikroenheder i hjernen. Medicoteknik, 3(8), 10-11. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=10

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

Griffiths, M. P., Grombacher, D., Liu, L., Vang, M. Ø. & Larsen, J. J. (2022). Forward Modeling Steady-State Free Precession in Surface NMR. IEEE Geoscience and Remote Sensing Letters, 60, Artikel 4513510. https://doi.org/10.1109/TGRS.2022.3221624

Ulsig, E. Z. & Tønning, P. (2022, mar. 16). Forskere: En sikker type UV-lys er et nyt våben mod corona og fremtidige epidemier. https://videnskab.dk/forskerzonen/teknologi-innovation/en-sikker-type-uv-lys-er-det-nye-vaaben-mod-corona-og-fremtidige-epidemier

Ulsig, E. Z. & Tønning, P. (2022). Forskere: En sikker type uv-lys er det nye våben mod corona og fremtidige epidemier. Videnskab.dk [online]. https://videnskab.dk/forskerzonen/teknologi-innovation/en-sikker-type-uv-lys-er-det-nye-vaaben-mod-corona-og-fremtidige-epidemier

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

Wright, T., Gomes, C. & Woodcock, J. (2022). Formally Verified Self-adaptation of an Incubator Digital Twin. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (s. 89-109). Springer. https://doi.org/10.1007/978-3-031-19762-8_7

Thule, C., Gomes, C. & Lausdahl, K. G. (2020). Formally Verified FMI Enabled External Data Broker: Rabbitmq FMU. I Proceedings of the 2020 Summer Simulation Conference (Bind 52, s. 254-265). Artikel 12 Association for Computing Machinery. https://doi.org/10.5555/3427510.3427533

Kulik, T., Boudjadar, J. & Aranha, D. F. (2021). Formally Verified Credentials Management for Industrial Control Systems. I Proceedings - 2021 IEEE/ACM 9th International Conference on Formal Methods in Software Engineering, FormaliSE 2021: 9th IEEE/ACM International Conference on Formal Methods in Software Engineering (s. 75-85). IEEE. https://doi.org/10.1109/FormaliSE52586.2021.00014

Baxter, J., van Acker, B., Kristensen, M., Wright, T., Cavalcanti, A. & Gomes, C. (2025). Formal Architectural Patterns for Adaptive Robotic Software. I A. Boronat & G. Fraser (red.), Fundamental Approaches to Software Engineering. FASE 2025 (s. 145-165). Springer. https://doi.org/10.1007/978-3-031-90900-9_8

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2022). Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. Scientific Reports, 12(1), Artikel 8395. https://doi.org/10.1038/s41598-022-12167-8

Passalis, N., Kanniainen, J., Gabbouj, M., Iosifidis, A. & Tefas, A. (2021). Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. Journal of Signal Processing Systems, 93(10), 1235-1251. https://doi.org/10.1007/s11265-020-01624-0

Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology. Transactions of the Institute of Measurement and Control, 45(4), 661-673. https://doi.org/10.1177/01423312221119635

Gil, S., Baş, E. E., Jensen, C. D., Engelsgaard, S., Abbiati, G. & Gomes, C. (2025). FMI-Based Distributed Co-Simulation with Enhanced Security and Intellectual Property Safeguards. (1 udg.) (s. 198-203).

Gil Arboleda, S., Baş, E. E., Jensen, C. D., Engelsgaard, S., Abbiati, G. & Gomes, C. (2026). FMI-Based Distributed Co-Simulation with Enhanced Security and Intellectual Property Safeguards. I Proceedings of the 2025 Annual Modeling and Simulation Conference (ANNSIM '25 udg., s. 1-6). Artikel 17 Association for Computing Machinery. https://doi.org/10.22360/ANNSIM.2025.CPS+DT.21

Sahana, G., Gebreyesus, G., Cheruiyot Bett , R., Kinyua, J., Roos, N., MBI Tanga, C., Mwikirize, C., Akol, R., Khamis, F. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., Hansen, L. S., Nielsen, H. M., Lund, M. S., Geoffrey, S., Walusimbi, S. & Nakimbugwe, D. (2024). FLYgene: Advancing Sustainable Breeding Programs and Genomic Tools for Black Soldier Fly (Hermetia illucens) in Kenya and Uganda. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 633-633) https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Iversen, M., Monisha, M. & Agarwala, S. (2022). Flexible, Wearable and Fully-printed Smart Patch for pH and Hydration Sensing in Wounds. International Journal of Bioprinting, 8(1), 41-49. https://doi.org/10.18063/IJB.V8I1.447

Zamani, M., Ronchini, M., Huynh, H. A., Farkhani, H. & Moradi, F. (2021). Flexible Energy-Efficient Implementation of Adaptive Spiking Encoder for Neuromorphic Processors. I 2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings Artikel 9401103 IEEE. https://doi.org/10.1109/ISCAS51556.2021.9401103

Marcano, N. J. H., Diez, L., Aguero, R. & Jacobsen, R. H. (2022). Finite Buffer Queuing Delay Performance in the Low Earth Orbit Land Mobile Satellite Channel. I 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 (s. 132-137). IEEE. https://doi.org/10.1109/WCNC51071.2022.9771859

Jensen, R. I. T. & Iosifidis, A. (2023). Fighting Money Laundering With Statistics and Machine Learning. IEEE Access, 11, 8889-8903. https://doi.org/10.1109/ACCESS.2023.3239549

Bjerge, K., Pinoy, N., Karstoft, H. & Høye, T. T. (2023). Field trials with automated moth monitoring in three different habitats of Denmark. Abstract fra 2023 Butterfly Conservation Symposium, Bedfordshire , Storbritannien.

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

Benos, L., Grøn Sørensen, C. & Bochtis, D. (2022). Field Deployment of Robotic Systems for Agriculture in Light of Key Safety, Labor, Ethics and Legislation Issues. Current Robotics Reports, 3(2), 49-56. https://doi.org/10.1007/s43154-022-00074-9

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+Business Media. https://doi.org/10.1007/978-3-031-62697-5_4

Bjerge, K., Bodesheim, P. & Karstoft, H. (2024). Few-Shot Learning with Novelty Detection. 340-363. Afhandling præsenteret på DeLTA 2024 - 5th International Conference on Deep Learning Theory and Applications. https://doi.org/10.1007/978-3-031-66694-0_21

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2022). Feedforward Neural Networks Initialization based on Discriminant Learning. Neural Networks, 146, 220-229. https://doi.org/10.1016/j.neunet.2021.11.020

Ding, Y., Zhang, S., Fan, B., Sun, W., Liao, Y. & Zhou, P. Y. (2024). FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations. I RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems (s. 690-700). Association for Computing Machinery. https://doi.org/10.1145/3640457.3688112

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