Publications at Department of Electrical and Computer Engineering

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Electrical and Computer Engineering.

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Dong, L., Yang, W., Wen, L., Zhao, X., Claus, A. G. S., Wu, C. & Zhou, K. (2024). Continuous curvature wayline generation using quadratic optimisation for agricultural machine guidance. Biosystems Engineering, 238, 22-37. https://doi.org/10.1016/j.biosystemseng.2023.12.009

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

Domini, D., Farabegoli, N., Aguzzi, G., Viroli, M. & Esterle, L. (2026). Decentralized proximity-aware clustering for collective self-federated learning. Internet of Things (The Netherlands), 35, Article 101841. https://doi.org/10.1016/j.iot.2025.101841

Dobbs, A. M., Ginn, D., Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2022). New directions in weed management and research using 3D imaging. Weed Science, 70(6), 641-647. https://doi.org/10.1017/wsc.2022.56

Dobbs, A. M., Ginn, D., Skovsen, S. K., Yadav, R., Jha, P., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2023). Using structure-from-motion to estimate cover crop biomass and characterize canopy structure. Field Crops Research, 302, Article 109099. https://doi.org/10.1016/j.fcr.2023.109099

Dobbs, A. M., Goldsmith, A. S., Ginn, D., Skovsen, S. K., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2024). Mapping predicted biomass in cereal rye using 3D imaging and geostatistics. Weed Science, 72(5), 553-561. https://doi.org/10.1017/wsc.2024.62

Doan Nhut, T. & Zito, D. (2023). A Compact DC-110GHz SPST Switch in 22nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3812-3816. https://doi.org/10.1109/TCSII.2023.3291081

D'Inverno, G. A., Moradizadeh, S., Salavatidezfouli, S., Africa, P. C. & Rozza, G. (2025). Mesh-informed Reduced Order Models for aneurysm rupture risk prediction. Journal of Computational and Applied Mathematics, 470, Article 116727. https://doi.org/10.1016/j.cam.2025.116727

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. In RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems (pp. 690-700). Association for Computing Machinery. https://doi.org/10.1145/3640457.3688112

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

Deutch, F., Weiss, M. G., Wagner, S. R., Hansen, L. S., Larsen, F., Figueiredo, C., Moers, C. & Keller, A. K. (2025). Machine-Learning-Based Activity Tracking for Individual Pig Monitoring in Experimental Facilities for Improved Animal Welfare in Research. Sensors, 25(3), Article 785. https://doi.org/10.3390/s25030785

Deutch, F., Hansen, L. S., Saleh, F. O., Weiss, M. G., Figueiredo, C., Moers, C., Keller, A. K. & Wagner, S. R. (2026). Developing and Assessing the Performance of a Machine Learning Model for Analyzing Drinking Behaviors in Minipigs for Experimental Research. Sensors, 26(2), Article 402. https://doi.org/10.3390/s26020402

del Palacio Gonzalez, A., Thylstrup, B., Pedersen, M. U., Danielsen, B., Kirk, H. B. & Jensen, K. L. (2022). Design and Testing of an Aftercare Mobile App for Substance Use Among Young Adults: An Interdisicplinary Approach in Denmark. Abstract from Lisbon addictions 2022, Lisabon, Portugal.

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

Dehkordi, A. K., Mahboubi-Moghaddam, E., Seyedyazdi, M. & Khooban, M. H. (2025). Energy-water-food nexus planning considering Co-optimized electric vehicle scheduling. Energy Nexus, 20, Article 100588. https://doi.org/10.1016/j.nexus.2025.100588

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

David, I., Shao, G., Gomes, C., Tilbury, D. & Zarkout, B. (2025). Interoperability of Digital Twins: Challenges, Success Factors, and Future Research Directions. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Specification and Verification - 12th International Symposium, ISoLA 2024, Proceedings (pp. 27-46). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-75390-9_3

Das, K. K., Soni, S., Moradi, F., Shreya, S. & Kaushik, B. K. (2024). Vortex Spin Torque Nano Oscillator-based PUF and TRNG Design for Lightweight Security Solutions. In 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) IEEE. https://doi.org/10.1109/EDTM58488.2024.10511353

Dang, V. H., Redder, A., Pham, H. X., Sarabakha, A. & Kayacan, E. (2025). VDS-Nav: Volumetric Depth-Based Safe Navigation for Aerial Robots–Bridging the Sim-to-Real Gap. IEEE Robotics and Automation Letters, 10(10), 11038-11045. https://doi.org/10.1109/LRA.2025.3606806

D’Ambrosio, F., Harbo, M., Contiero, D., Bonfigli, A. R., Cicconi, D., Heuer, N., Roos, A., Pedersen, C. F., Fabbietti, P. & Gagliardi, C. (2024). Preact to lower the risk of falling by customized rehabilitation across Europe: the feasibility study protocol of the PRECISE project in Italy. Frontiers in Public Health, 12, Article 1293621. https://doi.org/10.3389/fpubh.2024.1293621

Dahl, M. K., Hassan Hire, J., Zamani, M. & Moradi, F. (2024). Multimodal Temperature Sensing Using Electromechanical Impedance (EMI) for Structural Health Monitoring. IEEE Sensors Journal, 24(3), 3457-3464. https://doi.org/10.1109/JSEN.2023.3343779

Dahl, M. K., Hire, J. H., Zamani, M., Luca, A. & Moradi, F. (2026). Electromechanical Impedance Sensing Under Humid Conditions: Experimental Insights and Compensation Using Machine Learning. Sensors, 26(3), Article 943. https://doi.org/10.3390/s26030943

Dahl, M. K., Hassan Hire, J., Zamani, M. & Moradi, F. (2025). Towards Efficient Structural Health Monitoring: Spike-Encoding in Real-Time Electromechanical Impedance Systems. In ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings IEEE. https://doi.org/10.1109/ISCAS56072.2025.11043774

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

Craig, M. T., Wohland, J., Stoop, L. P., Kies, A., Pickering, B., Bloomfield, H. C., Browell, J., De Felice, M., Dent, C. J., Deroubaix, A., Frischmuth, F., Gonzalez, P. L. M., Grochowicz, A., Gruber, K., Härtel, P., Kittel, M., Kotzur, L., Labuhn, I., Lundquist, J. K. ... Brayshaw, D. J. (2022). Overcoming the disconnect between energy system and climate modeling. Joule, 6(7), 1405-1417. https://doi.org/10.1016/j.joule.2022.05.010

Cox, D. M., Damasceno, D. R., Hagsten, J., Hellesen, C., Hjelmeland, M., Jurasz, J., Kies, A., Lagnelöv, O., Lundberg, M., Lundström, L., McKenna, J. T. K., Norberg, P., Nøland, J. K., Llisterri, A. P., Qvist, S., Svanström, S., Såmark-Roth, A., Yang, Y., Hesamzadeh, M. R. & Tjernberg, L. B. (2026). Strategic capacity expansion planning in hydro-dominated power systems: Insights from the Nordics. Energy, 344, Article 139771. https://doi.org/10.1016/j.energy.2025.139771

Cogato, A., Pezzuolo, A., Sørensen, C. G., De Bei, R., Sozzi, M. & Marinello, F. (2020). A GIS-based multicriteria index to evaluate the mechanisability potential of Italian vineyard area. Land, 9(11), 1-17. Article 469. https://doi.org/10.3390/land9110469

Cielecki, P. P., Hardenberg, M., Amariei, G., Henriksen, M. L., Hinge, M. & Klarskov, P. (2023). Identification of black plastics with terahertz time-domain spectroscopy and machine learning. Scientific Reports, 13(1), Article 22399. https://doi.org/10.1038/s41598-023-49765-z

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2021). Robust fast subclass discriminant analysis. In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1397-1401). Article 9287557 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287557

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

Chumachenko, K., Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Rethinking compactness in deep neural networks. Paper presented at International Conference on Machine Learning Workshop on Overparameterization. https://drive.google.com/file/d/1pu5xJMPvKuGFeVCcylEvLz00uLK3UN9I/view

Chumachenko, K., Gabbouj, M. & Iosifidis, A. (2022). Object detection and tracking. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 243-278). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00016-6

Chronopoulos, C., Johansen, K. W., Teizer, J., Schultz, C. P. L. & Esterle, L. (2021). Towards a Holistic, Self-Organised Safety Framework for Construction. In Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (pp. 238-243). IEEE. https://doi.org/10.1109/ACSOS-C52956.2021.00060

Chronopoulos, C., Teizer, J. & Esterle, L. (2022). Trajectory Prediction: A Review of Methods and Challenges in Construction Safety. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (pp. 428-438). European Group for Intelligent Computing in Engineering (EG-ICE). https://doi.org/10.7146/aul.455.c233

Christensen, S., Dyrmann, M., Nyholm Jørgensen, R. & Laursen, M. S. (2021). Sensing for Weed Detection. In Sensing Approaches for Precision Agriculture (pp. 275-300). Springer. https://doi.org/10.1007/978-3-030-78431-7, https://doi.org/10.1007/978-3-030-78431-7_10

Christensen, L. T. B., Straadt, D., Vassis, S., Lillelund, C. M., Stoustrup, P. B., Pauwels, R., Pedersen, T. K. & Pedersen, C. F. (2024). An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis. (pp. 1-4). https://arxiv.org/abs/2405.01617#

Christensen, C. S. Q., Hansen, N., Motadayen, M., Lock, N., Henriksen, M. L. & Quinson, J. (2025). A review of metal-organic frameworks and polymers in mixed matrix membranes for CO₂ capture. Beilstein Journal of Nanotechnology, 16, 155-186. https://doi.org/10.3762/bjnano.16.14

Chen, Q., Lang, X., Lu, S., Rehman, N. U., Xie, L. & Su, H. (2021). Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality. Computers and Chemical Engineering, 147, Article 107231. https://doi.org/10.1016/j.compchemeng.2021.107231

Chen, Y., Shahidehpour, M., Lin, Y., Dvorkin, Y., Peric, V., Zhao, J., Ugalde-Loo, C. E. & Ge, L. (2022). Guest Editorial: Situational awareness of integrated energy systems. IET Generation, Transmission and Distribution, 16(14), 2761-2765. https://doi.org/10.1049/gtd2.12524

Chen, J., Liang, Y. C., Cheng, H. V. & Yu, W. (2023). Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems. IEEE Transactions on Wireless Communications, 22(10), 6853-6869. https://doi.org/10.1109/TWC.2023.3246264

Chen, G., Kobek-Kjeldager, C., Jensen, L. D., Kristensen, J. K., Kaiser, M., Thodberg, K., Zhang, G., Rong, L., Herskin, M. S. & Foldager, L. (2024). Experimental study on temperature difference between the interior and exterior of the vehicle transporting weaner pigs. Biosystems Engineering, 247, 119-131. https://doi.org/10.1016/j.biosystemseng.2024.09.001

Chen, F., Xiang, L., Sun, H., Cheng, H. V. & Shen, K. (2025). Shuffling for Semantic Secrecy. IEEE Transactions on Information Forensics and Security, 20, 5240-5255. https://doi.org/10.1109/TIFS.2025.3573192

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. In W. Che, J. Nabende, E. Shutova & M. T. Pilehvar (Eds.), Proceedings of the Annual Meeting of the Association for Computational Linguistics: Volume 1: Long Papers (pp. 14976-14995). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2025.acl-long.729

Cavagna, A., Li, N., Iosifidis, A. & Zhang, Q. (2023). Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. In 2023 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 1617-1622). IEEE. https://doi.org/10.1109/ICCWorkshops57953.2023.10283786

Castillo-Sánchez, J. B., Cano-García, J. M., González-Parada, E. & Frasheri, M. (2025). Enabling Autonomous Agents for Mobile Wireless Sensor Networks. Applied Sciences (Switzerland), 15(11), Article 6193. https://doi.org/10.3390/app15116193

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, Article 1407421. https://doi.org/10.3389/frobt.2024.1407421

Carreto Picón, G., Oleksiienko, I., Morsing, L. H., Bakhtiarnia, A. & Iosifidis, A. (2024). Continual Low-Rank Scaled Dot-product Attention. https://doi.org/10.48550/arXiv.2412.03214

Carreto Picón, G., Zhou, P. Y., Zhang, Q. & Iosifidis, A. (2025). DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams.

Carreto Picón, G., Oleksiienko, I., Hedegaard, L., Bakhtiarnia, A. & Iosifidis, A. (2026). Continual low-rank scaled dot-product attention. Neural Networks, 197, Article 108517. https://doi.org/10.1016/j.neunet.2025.108517

Carlson Hanse, L., Tjørnild, M. J., Sørensen, S. G., Johansen, P., Lugones, I. & Hjortdal, V. E. (2022). Trileaflet Semilunar Valve Reconstruction: Pulsatile In Vitro Evaluation. Interactive Cardiovascular and Thoracic Surgery, 35(4), Article ivac227. https://doi.org/10.1093/icvts/ivac227

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AU Engineering