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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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.

Hasanpour, M. A., Kirkegaard, M. & Fafoutis, X. (2025). EdgeMark: An automation and benchmarking system for embedded artificial intelligence tools. Journal of Systems Architecture, 167, Artikel 103488. https://doi.org/10.1016/j.sysarc.2025.103488

Wang, X., Feng, Y., Gu, X., Long, Y., Mukherjee, M., Fizza, K., Zhang, Q. & Guo, M. (2022). Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 6349-6353). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001583

Li, N. (2023). Edge AI for Time-critical Internet-of-things. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Krukar, J. & Schultz, C. (2025). Ecological validity of architectural cognition: a framework. Architectural Science Review, 68(5), 355-362. https://doi.org/10.1080/00038628.2024.2410741

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). ECINN: Efficient Counterfactuals from Invertible Neural Networks. I 32nd British Machine Vision Conference 2021, BMVC 2021, Virtual https://arxiv.org/abs/2103.13701

Bjarke Mikkelsen, K., Rezai Tabar, Y., Rævsbæk Birch, L., Kappel, S. L., Christensen, C. B., Dalskov Mosgaard, L., Otto, M., Christian Hemmsen, M., Lind Rank, M. & Kidmose, P. (2025). Ear-EEG sleep monitoring data sets. Scientific Data, 12(1), Artikel 301. https://doi.org/10.1038/s41597-025-04579-8

Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C., Otto, M. & Kidmose, P. (2021). Ear-EEG for sleep assessment: a comparison with actigraphy and PSG. Sleep and Breathing, 25(3), 1693-1705. https://doi.org/10.1007/s11325-020-02248-1

Raj, R. K., Saini, S., Verma, R. S., Kaushik, B. K. & Shreya, S. (2025). Dzyaloshinskii–Moriya interaction gradient driven skyrmion based energy efficient leaky integrate fire neuron. Journal of Magnetism and Magnetic Materials, 614, Artikel 172694. https://doi.org/10.1016/j.jmmm.2024.172694

Kristensen, M., Wright, T. D., Gomes, C., Esterle, L. & Larsen, P. G. (2026). DynSRV: Dynamically Updated Properties for Stream Runtime Verification. I B. Könighofer & H. Torfah (red.), Runtime Verification - 25th International Conference, RV 2025, Proceedings (s. 101-119). Springer. https://doi.org/10.1007/978-3-032-05435-7_7

Bakhtiarnia, A., Milošević, N., Zhang, Q., Bajović, D. & Iosifidis, A. (2023). Dynamic Split Computing for Efficient Deep Edge Intelligence. I ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/ICASSP49357.2023.10096914

Brusatori, M. F. & Volet, N. (2022). Dynamics of Semiconductor Lasers under External Optical Feedback from Both Sides of the Laser Cavity. Photonics, 9(1), Artikel 43. https://doi.org/10.3390/photonics9010043

Li, N., Iosifidis, A. & Zhang, Q. (2025). Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder. IEEE Transactions on Wireless Communications, 24(3), 2157-2172. https://doi.org/10.1109/TWC.2024.3518399

Ejersbo, H., Lausdahl, K., Frasheri, M. & Esterle, L. (2023). Dynamic Runtime Integration of New Models in Digital Twins. ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 44-55. https://doi.org/10.1109/SEAMS59076.2023.00016

He, B., Yang, Y., Wu, Q., Liu, H., Yang, R., Peng, H., Wang, X., Liao, Y. & Zhou, P. (2024). Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (s. 5844-5852). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/646

Horrillo-Quintero, P., Garcia-Trivino, P., Hoseinni, E., Garcia-Vazquez, C. A., Sanchez-Sainz, H., Ugalde-Loo, C. E., Peric, V. & Fernandez-Ramirez, L. M. (2024). Dynamic Fuzzy Logic Energy Management System for a Multi-Energy Microgrid. IEEE Access, 12, 93221-93234. https://doi.org/10.1109/ACCESS.2024.3422009

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, Artikel 107777. https://doi.org/10.1016/j.future.2025.107777

Vathoopan Kannan, M., Boudjadar, J., Ramanujan, D., Borbolla Muñoz, A. & Aher, G. R. (2025). Dynamic Data–Model Integration to Infer Valid Manufacturing Service Simulation Sequences for Circular Product Design. Manuskript afsendt til publicering.

Far Brusatori, M., Klein, H. & Volet, N. (2022). Dual-wavelength laser in the C-band with narrow-linewidth reduced by optical feedback. Abstract fra IEEE Photonics Conference 2022. https://doi.org/10.1109/IPC53466.2022.9975567

Salavatidezfouli, S., Karstoft, H., Iosifidis, A. & Abkar, M. (2025). Dual guidance: Reduced-order model-informed field reconstruction with generative models. Physics of Fluids, 37(9), Artikel 093617. https://doi.org/10.1063/5.0285462

Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Suetta, C., Merhi, Y., Agarwala, S., Mikkelsen, P. H. & Nygaard, J. V. (2023). Dry electrode integrated with garment. (Patentnummer WO2023209148 (A1)). https://dk.espacenet.com/publicationDetails/biblio?DB=EPODOC&II=0&ND=3&adjacent=true&locale=dk_DK&FT=D&date=20231102&CC=WO&NR=2023209148A1&KC=A1#

Abdolmaleki, H., Kidmose, P. & Agarwala, S. (2021). Droplet‐Based Techniques for Printing of Functional Inks for Flexible Physical Sensors. Advanced Materials, 33(20), Artikel 2006792. https://doi.org/10.1002/adma.202006792

Shahgholian, G., Moradian, M. & Fathollahi, A. (2025). Droop control strategy in inverter-based microgrids: A brief review on analysis and application in islanded mode of operation. IET Renewable Power Generation, 19(1), Artikel e13186. https://doi.org/10.1049/rpg2.13186

Li, H., Shi, H., Zhang, W., Wu, W., Liao, Y., Wang, L., Lee, L. H. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling. I A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 214-230). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-72904-1_13

Li, H., Tian, Y., Lan, K., Liao, Y., Wang, L., Hui, P. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Advance online publication. https://doi.org/10.1109/TPAMI.2025.3620403

Jensen, R. I. T., Gerlings, J. & Ferwerda, J. (2025). Do Awareness Campaigns Reduce Financial Fraud? European Journal on Criminal Policy and Research, 31(4), 717-752. https://doi.org/10.1007/s10610-024-09573-1

Asif, M. R., Foged, N., Bording, T. S., Larsen, J. J. & Christiansen, A. V. (2023). DL-RMD: a geophysically constrained electromagnetic resistivity model database for deep learning applications. Earth System Science Data, 15(3), 1389-1401. https://doi.org/10.5194/essd-2022-345, https://doi.org/10.5194/essd-15-1389-2023

Yazdani, N., Kouvelas, N., Lucani Rötter, D. E. & Prasad, R. V. (2022). Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames. I IEEE International Conference on Sensing, Communication, and Networking (SECON) (s. 235-243). IEEE. https://doi.org/10.1109/SECON55815.2022.9918571

Schultz, C. P. L. & Kamari, A. (2021). Diversity in Renovation Design: Theoretical Foundations of the Renovation Domain Model. Journal of Computing in Civil Engineering, 35(4), Artikel 04021006. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000969

Hasanvand , S., Sobhani, H. & Khooban, M. H. (2025). Distribution network clustering for reactive power planning and distributed voltage control. IET Generation, Transmission & Distribution, 19(1), Artikel e70002. https://doi.org/10.1049/gtd2.70002

Li, N., Iosifidis, A. & Zhang, Q. (2022). Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. I ICC 2022 - IEEE International Conference on Communications (s. 3667-3672). IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Zheng, X., Luo, Y., Zhou, P. & Wang, L. (2025). Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognition, 158, Artikel 111029. https://doi.org/10.1016/j.patcog.2024.111029

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

Liang, P., Yang, M., Wu, Z., Zhou, P. Y. & Liao, Y. (2026). DiSCo: Disrupting Semantic Consistency for Transferable Cross-Modal Adversarial Attacks. I J. Lokoc, L. Peška, J. Zahálka, S. Rudinac, U. Sharma, M. Kastner, J. Chen, M.-C. Hu & J. Wu (red.), MultiMedia Modeling - 32nd International Conference on Multimedia Modeling, MMM 2026, Proceedings (s. 16-30). Springer Science+Business Media. https://doi.org/10.1007/978-981-95-6957-1_2

Klein-Hitpass, A., Kidmose, P. & Agarwala, S. (2023). Direct-write shielded cables for improved signal integrity. IEEE Journal on Flexible Electronics, 2(6), 481-485. https://doi.org/10.1109/JFLEX.2023.3294147

Merhi, Y. & Agarwala, S. (2021). Direct write of Dry electrodes on Healthcare Textiles. I FLEPS 2021 - IEEE International Conference on Flexible and Printable Sensors and Systems Artikel 9469835 IEEE. https://doi.org/10.1109/FLEPS51544.2021.9469835

Akhbari, A., Rahimi, M. & Khooban, M. H. (2022). Direct current grid-based doubly-fed induction generator wind turbines: Real-time control and stability analysis. IET Power Electronics, 15(12), 1158-1173. https://doi.org/10.1049/pel2.12299

Cai, X. & Cheng, H. V. (2023). Direct Channel Estimation Between MIMO Transmitter and Reconfigurable Intelligent Surface. I IEEE Conference on Global Communications (GLOBECOM) (s. 4217-4222). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437250

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. I 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685589

Gomes, C., Kristensen, M. H., Andersen, M. S., Talasila, P., Feng, H., Wright, T. & Larsen, P. G. (2025). Digital Twin Tutorial: The Incubator Case Study. I J. P. Bowen, C. Gomes & Z. Liu (red.), Engineering Trustworthy Software Systems - 6th International School, SETSS 2024, Tutorial Lectures (s. 68-101). Springer Science+Business Media. https://doi.org/10.1007/978-981-96-4656-2_3

Schyska, B. U., Ceglarz, A., Kies, A., Medjroubi, W., Ruf, H., Hoffmann, M., Dubus, L., Koivisto, M., St. Drenan, Y. M., Salm, S. P. & Schroedter-Homscheidt, M. (2026). Digital twins of the earth can take energy systems modeling to the next level. Cell Reports Physical Science, 7(4), Artikel 103231. https://doi.org/10.1016/j.xcrp.2026.103231

Tagarakis, A. C., Benos, L., Kyriakarakos, G., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Digital Twins in Agriculture and Forestry: A Review. Sensors, 24(10), Artikel 3117. https://doi.org/10.3390/s24103117

Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S. & Larsen, P. G. (2021). Digital twins for collaboration and self-integration. I E. El-Araby, V. Kalogeraki, D. Pianini, F. Lassabe, B. Porter, S. Ghahremani, I. Nunes, M. Bakhouya & S. Tomforde (red.), Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (s. 172-177). IEEE. https://doi.org/10.1109/ACSOS-C52956.2021.00040

Esterle, L., Ejersbo, H., Frasheri, M., Gomes, C., Macedo, H. D. & Larsen, P. G. (2022). Digital Twins for Autonomous Intelligent Systems: From Development to Deployment. I Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (s. 53-54). IEEE. https://doi.org/10.1109/ACSOSC56246.2022.00028

Macedo, H. D. (2021). Digital Twins. 12-15. Afhandling præsenteret på Digitale tvillinger i afløbs- og spildevandsbranchen . http://www.evanet.dk/wp-content/uploads/2021/09/2021_03_EVA_blad.pdf

Naseri, F., Gil Arboleda, S., Barbu, C., Cetkin, E., Yarimca, G., Jensen, A. C., Larsen, P. G. & Gomes, C. (2023). Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms. Renewable and Sustainable Energy Reviews, 179, Artikel 113280. https://doi.org/10.1016/j.rser.2023.113280

Feng, H. (2023). Digital Twin Engineering with an Application to an Incubator. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Fitzgerald, J., Gomes, C., Johnsen, E. B., Kamburjan, E., Leucker, M. & Woodcock, J. (2025). Digital Twin Engineering. I T. Margaria & B. Steffen (red.), Leveraging Applications of Formal Methods, Verification and Validation. Specification and Verification - 12th International Symposium, ISoLA 2024, Proceedings (s. 3-8). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-75390-9_1

Betzer, J. S., Boudjadar, J., Frasheri, M. & Talasila, P. (2024). Digital Twin Enabled Runtime Verification for Autonomous Mobile Robots under Uncertainty. (s. 10-17). ArXiv. https://doi.org/10.1109/DS-RT62209.2024.00012

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