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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Vang, M., Grombacher, D., Larsen, J. J. & Wilson, S. (2023). Small coil surface nuclear magnetic resonance in dynamic river systems in New Zealand. I 2nd Conference on Hydrogeophysics 2023, Held at Near Surface Geoscience Conference and Exhibition 2023, NSG 2023 European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202320070

Vang, M., Grombacher, D., Larsen, J. J. & Wilson, S. (2023). SMALL COIL SURFACE NUCLEAR MAGNETIC RESONANCE FOR SHALLOW RESOLUTION OF RIVERS IN NEW ZEALAND. Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP, 2023-April.

Phan, H., Mikkelsen, K., Chen, O. Y., Koch, P., Mertins, A. & De Vos, M. (2022). SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Transactions on Biomedical Engineering, 69(8), 2456-2467. https://doi.org/10.1109/TBME.2022.3147187

Mikkelsen, K., Phan, H., Rank, M. L., Hemmsen, M. C., De Vos, M. & Kidmose, P. (2022). Sleep monitoring using ear-centered setups: Investigating the influence from electrode configurations. IEEE Transactions on Biomedical Engineering, 69(5), 1564-1572. https://doi.org/10.1109/TBME.2021.3116274

Banluesombatkul, N., Strøm, J., Olsen, M. L. S., Kilic, K., Sprehn, M., Thomsen, M. D., Christian Hemmsen, M., Thorlund, J. B., Mikkelsen, K., Vægter, H. B. & Kidmose, P. (2025). Sleep Analysis Using Longitudinal Ear-EEG Recordings. I 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2025 - Proceedings IEEE. https://doi.org/10.1109/EMBC58623.2025.11251745

Ronchini, M., Wang, W., Nishio, Y., Yao, Y. & Bao, Z. (2025). Skin-Inspired Electronics: An Emerging Sensing and Computing Platform. I 2025 IEEE International Solid-State Circuits Conference (ISSCC) (s. 232-234). IEEE. https://doi.org/10.1109/ISSCC49661.2025.10904693

Lati, R. N., Rasmussen, J., Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, P., Jørgensen, R. N. & Christensen, S. (2021). Site-specific weed management—constraints and opportunities for the weed research community: Insights from a workshop. Weed Research, 61(3), 147-153. https://doi.org/10.1111/wre.12469

Ulsig, E. Z., Linnet Madsen, M., Stanton, E. J., Venkatarama Reddy, D., Degli-Eredi, I., Mirin, R. & Volet, N. (2023). Single-photon downconversion in GaAs, AlGaAs and InGaP-on-insulator. I 2023 IEEE Photonics Conference (IPC) https://doi.org/10.1109/IPC57732.2023.10360732

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2022). Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks, 153, 461-473. https://doi.org/10.1016/j.neunet.2022.06.038

Sharifzadeh, M., Laurendeau, E., Fathollahi, A., Gheisarnejad, M., Sadabadi, M. S. & Al-Haddad, K. (2025). Single-DC-Source Three-Phase Modified Packed U-Cell Inverter With Reduced Components and Active Capacitor Voltage Balancing. IEEE Open Journal of the Industrial Electronics Society, 6, 1448-1460. https://doi.org/10.1109/OJIES.2025.3600173

Faraji, B., Paghaleh, S. M., Gheisarnejad, M., Khooban, M. H. & Senior Member, IEEE (2024). Simultaneous control of rigidity and hand tremor by adaptive fuzzy Q-learning. Communications in Nonlinear Science and Numerical Simulation, 130, Artikel 107670. https://doi.org/10.1016/j.cnsns.2023.107670

Ugurlu, H. I., Pham, X. H. & Kayacan, E. (2022). Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots. Robotics, 11(5), Artikel 109. https://doi.org/10.3390/robotics11050109

Asiminari, G., Benos, L., Kateris, D., Busato, P., Achillas, C., Grøn Sørensen, C., Pearson, S. & Bochtis, D. (2025). Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices. AgriEngineering, 7(3), Artikel 75. https://doi.org/10.3390/agriengineering7030075

Liu, L., Grombacher, D., Griffiths, M., Vang, M. & Larsen, J. J. (2023). Signal Processing Steady-State Surface NMR Data. IEEE Transactions on Instrumentation and Measurement, 72, Artikel 6502313. https://doi.org/10.1109/TIM.2023.3264033

Vahedifar, M. A. & Zhang, Q. (2025). Signal Prediction for Loss Mitigation in Tactile Internet: A Leader-Follower Game-Theoretic Approach. I 35th IEEE International Workshop on Machine Learning for Signal Processing: Signal Processing in the Age of Lorge Language Models, MLSP 2025 IEEE Computer Society Press. https://doi.org/10.1109/MLSP62443.2025.11204284

Hegde, S., Shi, L., Hernandez Marcano, N. J., Shrivastava, R., Blume, O. & Jacobsen, R. H. (2021). Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications. I 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Artikel 9449009 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449009

Fehér, M., Yazdani, N., Aranha, D. F., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2020). Side Channel Security of Smart Meter Data Compression Techniques. I 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020: Proceedings Artikel 9302931 IEEE. https://doi.org/10.1109/SmartGridComm47815.2020.9302931

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

Heidary, J., Oshnoei, S., Gheisarnejad Chirani, M., Khalghani, M. R. & Khooban, M. H. (2024). Shipboard Microgrid Frequency Control Based on Machine Learning Under Hybrid Cyberattacks. IEEE Transactions on Industrial Electronics, 71(7), 7136-7146. https://doi.org/10.1109/TIE.2023.3303627

Vahedifar, M. A., Akhtarshenas, A., Rafatpanah, M. M. & Sabbaghian, M. (2025). Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors. I 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP) https://doi.org/10.1109/MLSP62443.2025.11204262

Kretsis, A., Kokkinos, P., Soumplis, P., Vegas Olmos, J. J., Fehér, M., Sipos, M. A., Lucani Rötter, D. E., Khabi, D., Masouros, D., Siozios, K., Bourgos, P., Tsekeridou, S., Zyulkyarov, F., Karanastasis, E., Chondrogiannis, E., Andronikou, V., Fernandez Gomez, A., Panica, S., Iuhasz, G. ... Varvarigos, M. (2021). SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. I 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 (s. 55-60). IEEE. https://doi.org/10.1109/MeditCom49071.2021.9647689

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

Gomes, C., Lucani Rötter, D. E., Iosifidis, A., Feng, H., Ejersbo, H. & Frasheri, M. (2024). Sensing and Communication of Data from the Physical Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 147-171). Springer. https://doi.org/10.1007/978-3-031-66719-0_7#citeas

Zheng, X., Zhou, P., Vasilakos, A. V. & Wang, L. (2024). Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation. I 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 (s. 27885-27895). IEEE Computer Society Press. https://doi.org/10.1109/CVPR52733.2024.02634

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

Zhang, X., Wei, Q., Hu, B., Pan, L., Wu, C., Sørensen, C. A. G., Chen, Y. & Zhou, K. (2026). Self-supervised multi-level trajectory representation model for field-road trajectory segmentation. Engineering Applications of Artificial Intelligence, 172, Artikel 114378. https://doi.org/10.1016/j.engappai.2026.114378

Hassan Hire, J. (2022). Self-powered Embedded Wireless Corrosion Monitoring System. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P. R., Nelson, P. R., Pournaras, E., Stein, A. & Tomforde, S. (2021). Self-improving system integration: Mastering continuous change. Future Generation Computer Systems, 117, 29-46. https://doi.org/10.1016/j.future.2020.11.019

Mikkelsen, K. B., Tabar, Y. R., Toft, H. O., Hemmsen, M. C., Rank, M. L. & Kidmose, P. (2022). Self-applied ear-EEG for sleep monitoring at home. I 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (s. 3135-3138). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871076

Liu, S., Lang, X., Wu, J. & Rehman, N. U. (2025). Selective Noise Empirical Mode Decomposition. IEEE Signal Processing Letters, 32, 2823-2827. https://doi.org/10.1109/LSP.2025.3588082

Jeppesen, J., Christensen, J., Ahrenfeldt Petersen, O., Fenger, S., Armand Larsen, S., Wüstenhagen, S., Wagner, S. R., Johansen, P. & Beniczky, S. (2025). Seizure detection using wearable electrocardiogram connected to a smartphone: a phase 3 clinical validation study. EBioMedicine, 120, Artikel 105952. https://doi.org/10.1016/j.ebiom.2025.105952

Gonçalves Gomes, C. Â., Abbiati, G. & Larsen, P. G. (2021). Seismic Hybrid Testing using FMI-based Co-Simulation. I M. Sjölund, L. Buffoni, A. Pop & L. Ochel (red.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (s. 287-295) https://doi.org/10.3384/ecp21181287

Jacobsen, R. H. & Marandi, S. A. (2021). Security Threats Analysis of the Unmanned Aerial Vehicle System. I MILCOM 2021 - 2021 IEEE Military Communications Conference (s. 316-322) https://doi.org/10.1109/MILCOM52596.2021.9652900

Kulik, T., Kazemi, Z. & Larsen, P. G. (2024). Security and Privacy-related Issues in a Digital Twin Context. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 313-334). Springer. https://doi.org/10.1007/978-3-031-66719-0_13

Yeh, C. Y., Ghasempour, Y., Amarasinghe, Y., Mittleman, D. M. & Knightly, E. W. (2024). Security and Angle-Frequency Coupling in Terahertz WLANs. IEEE/ACM Transactions on Networking, 32(2), 1524-1539. https://doi.org/10.1109/TNET.2023.3321641

Oshnoei, S., Gheisarnejad, M., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Securing Grid-Connected Packed E-Cell Multilevel Inverter: A LSTM-AE Approach to Hybrid Attack Mitigation. IEEE Transactions on Automation Science and Engineering, 22, 21853-21863. https://doi.org/10.1109/TASE.2025.3614757

Kontodimas, K., Soumplis, P., Kretsis, A., Kokkinos, P., Fehér, M., Lucani Rötter, D. E. & Varvarigos, M. (2023). Secure Distributed Storage Orchestration on Heterogeneous Cloud-Edge Infrastructures. IEEE Transactions on Cloud Computing , 11(4), 3407-3425. https://doi.org/10.1109/TCC.2023.3287653

Kuldeep, G. (2022). Secure Data Compression for Internet of Things. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Vestergaard, R., Pagnin, E., Kundu, R. & Lucani, D. E. (2022). Secure Cloud Storage with Joint Deduplication and Erasure Protection. I C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa & J. Zhang (red.), 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (s. 554-563). IEEE. https://doi.org/10.1109/CLOUD55607.2022.00078

Ahler, L. C., Ulsig, E. Z., Stanton, E. J., Godoy, P. H., Weight, S. K., Nader, N., Leger, A. Z., Degli Eredi, I., Mirin, R. P. & Volet, N. (2025). Second-order nonlinear frequency conversion in InGaP-on-insulator waveguides. Optics Letters, 50(11), 3652-3655. https://doi.org/10.1364/OL.555573

Ulsig, E. Z. & Volet, N. (2021). Second-order nonlinear effects in InGaAsP waveguides for efficient wavelength conversion to the mid-infrared. I P. G. Schunemann & K. L. Schepler (red.), Nonlinear Frequency Generation and Conversion: Materials and Devices XX Artikel 116700U SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581819

Ulsig, E. Z. (2024). Second-order frequency conversion in III-V waveguides integrated on silicon. [Ph.d.-afhandling, Aarhus Universitet].

Jensen, R. I. T., Ferwerda, J. & Wewer, C. R. (2025). Searching for Smurfs: Testing if Money Launderers Know Alert Thresholds. Journal of Quantitative Criminology. Advance online publication. https://doi.org/10.1007/s10940-025-09617-7

Riishede Christiansen, I. L., Ekelund, C. K., Sperling, L., Overgaard, M., Knudsen, C. S., Clausen, T. D., Pihl, K., Zingenberg, H., Wright, A., Wright, D., Tabor, A., Rode, L. & Collaborators (2024). Screening for pre-eclampsia with competing-risks model using placental growth factor measurement in blood samples collected before 11 weeks' gestation. Ultrasound in Obstetrics & Gynecology, 63(3), 342-349. https://doi.org/10.1002/uog.27462

the PRESIDE Study Group (2025). Screening for pre-eclampsia using pregnancy-associated plasma protein-A or placental growth factor measurements in blood samples collected at 8–14 weeks' gestation. Ultrasound in Obstetrics and Gynecology, 65(5), 567-574. https://doi.org/10.1002/uog.29204

Bozcan, I., Korndörfer, C., Madsen, M. W. & Kayacan, E. (2022). Score-based Anomaly Detection for Smart Manufacturing Systems. IEEE - ASME Transactions on Mechatronics, 27(6), 5233-5242. https://doi.org/10.1109/TMECH.2022.3169724

Khare, S. K., Bajaj, V. & Acharya, U. R. (2023). SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals. Physiological Measurement, 44(3), Artikel 035005. https://doi.org/10.1088/1361-6579/acbc06

Ehlers, M. H., Finger, R., El Benni, N., Gocht, A., Sørensen, C. A. G., Gusset, M., Pfeifer, C., Poppe, K., Regan, Á., Rose, D. C., Wolfert, S. & Huber, R. (2022). Scenarios for European agricultural policymaking in the era of digitalisation. Agricultural Systems, 196, Artikel 103318. https://doi.org/10.1016/j.agsy.2021.103318

Ong, S.-Q., Pinoy, N., Hui Lin, M., Bjerge, K., Peris-Felipo, F. J., Lind, R., P. Cuff, J., M. Cook, S. & Høye, T. T. (2025). ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models. Current Research in Parasitology & Vector-Borne Diseases, 7, Artikel 100268. https://doi.org/10.1016/j.crpvbd.2025.100268

Nielsen, L. (2022). Scalable Storage for Massive Volume Data Systems. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

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