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.

Publication list

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Jiang, X., Gao, Y., Xu, H., Zhang, Q., Liao, Y. & Zhou, P. Y. (2025). Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning. In 2025 IEEE International Conference on Multimedia and Expo: Journey to the Center of Machine Imagination, ICME 2025 - Conference Proceedings IEEE Computer Society Press. https://doi.org/10.1109/ICME59968.2025.11210094

Jeppesen, J. H., Nørremark, M. & Jacobsen, R. H. (2022). Potato Cyst Nematode Detection based on Open Satellite Data. DCA - Nationalt Center for Fødevarer og Jordbrug. Advisory report from DCA – National Center for Food and Agriculture

Jeppesen, J., Christensen, J., Johansen, P. & Beniczky, S. (2023). Personalized seizure detection using logistic regression machine learning based on wearable ECG-monitoring device. Seizure, 107, 155-161. https://doi.org/10.1016/j.seizure.2023.04.012

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, Article 105952. https://doi.org/10.1016/j.ebiom.2025.105952

Jensen, M. A. F., Grøn Sørensen, C. & Bochtis, D. (2013). Assessment of Track Sequence Optimization based on Recorded Field Operations. Paper presented at EFITA / WCCA / CIGR 2013, Torino, Italy. https://www.researchgate.net/publication/338435610_Assessment_of_Track_Sequence_Optimization_based_on_Recorded_Field_Operations

Jensen, F., Hassan, A. & Bazzi, A. (2022). A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives. Paper presented at IEEE Energy Conversion Congress and Expo (ECCE 2022), Detroit, Michigan, United States. https://doi.org/10.1109/ECCE50734.2022.9947433

Jensen, A. L., Kristensen, E. F. & Grøn Sørensen, C. (2022). Feasibility study for organic farming. Poster session presented at The XX CIGR World Congress 2022, Kyoto, Japan.

Jensen, J. C. S. & Nørremark, M. (2022). Influence of the tire pressure on yield: Fendt VarioGrip. Pictures, Video and sound recordings (digital) https://www.youtube.com/watch?v=i7pZQ41xzkI

Jensen, R. I. T. & Iosifidis, A. (2023). Qualifying and raising anti-money laundering alarms with deep learning. Expert Systems with Applications, 214, Article 119037. https://doi.org/10.1016/j.eswa.2022.119037

Jensen, M. H., Nazari, M., Gu, C., Rasmussen, M., Dyrskog, S. E., Simonsen, C. Z., Grønhøj, M. H., Rom Poulsen, F., Rehman, N. U. & Korshoej, A. R. (2023). Reliability and Performance of the IRRAflow® System for Intracranial Lavage and Evacuation of Hematomas - A Technical Note. https://doi.org/10.1101/2023.07.07.23292372

Jensen, R. I. T., Ferwerda, J., Jørgensen, K. S., Jensen, E. R., Borg, M., Krogh, M. P., Jensen, J. B. & Iosifidis, A. (2023). A synthetic data set to benchmark anti-money laundering methods. Scientific Data, 10(1), Article 661. https://doi.org/10.1038/s41597-023-02569-2

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

Jensen, M. H., Rasmussen, M., Mohamad, N., Dyrskog, S. E., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M. H., Rom Poulsen, F., Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshoej, A. R. (2023). Safety, harm, and efficacy of IRRAflow® versus external ventricular drainage for intraventricular hemorrhage: A randomized clinical trial. medRxiv. https://doi.org/10.1101/2023.07.08.23292286

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. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 4127-4141). KU Leuven, Departement Werktuigkunde.

Jensen, M., Toft Jacobsen, J., Sharifirad, I. & Boudjadar, J. (2023). Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs. In J. Chen & L. T. Yang (Eds.), 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys): Proceedings (pp. 558-565). IEEE. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00082

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

Jensen, R. I. T. (2024). Machine Learning for Anti-money Laundering. [PhD dissertation, Aarhus University]. Aarhus University.

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

Jakobsen, M. O., Herskind, E. S., Pedersen, C. F. & Knudsen, M. B. (2023). Detecting insufficient lubrication in rolling bearings, using a low cost MEMS microphone to measure vibrations. Mechanical Systems and Signal Processing, 200, Article 110553. https://doi.org/10.1016/j.ymssp.2023.110553

Jakobsen, M. O. (2024). Low cost MEMS accelerometer and microphone based condition monitoring sensor, with LoRa and Bluetooth Low Energy radio. HardwareX, 18, Article e00525. https://doi.org/10.1016/j.ohx.2024.e00525

Jakobsen, M. O. (2024). Detection of Lubrication Conditions in Ball Bearings Using Acoustic Ultrasound Signals. [PhD dissertation, Aarhus University]. Aarhus University.

Jakobsen, N. K. (2026). State-Based Modelling with a Concept DSL. In M. Leuschel & F. Ishikawa (Eds.), Rigorous State-Based Methods - 11th International Conference, ABZ 2025, Proceedings (pp. 311-321). Springer. https://doi.org/10.1007/978-3-031-94533-5_18

Jain, A., Cunha, F., Bunsen, M. J., Cañas, J. S., Pasi, L., Pinoy, N., Helsing, F., Russo, J., Botham, M., Sabourin, M., Fréchette, J., Anctil, A., Lopez, Y., Navarro, E., Perez Pimentel, F., Zamora, A. C., Silva, J. A. R., Gagnon, J., August, T. ... Rolnick, D. (2025). Insect Identification in the Wild: The AMI Dataset. In A. Leonardis , E. Ricci , S. Roth , O. Russakovsky , T. Sattler & G. Varol (Eds.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 55-73). Springer. https://doi.org/10.1007/978-3-031-72913-3_4

Jain, S., Naveed, K., Oleksiienko, I., Iosifidis, A. & Pauwels, R. (2025). InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation. CEUR Workshop Proceedings, 4072, 91-99.

Jain, S., de Freitas, B. N., Basse-OConnor, A., Iosifidis, A. & Pauwels, R. (2025). PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution.

Jahangir, M. F., Schultz, C. P. L. & Kamari, A. (2024). A review of drivers and barriers of Digital Twin adoption in building project development processes. Journal of Information Technology in Construction, 29, 141-178. https://doi.org/10.36680/j.itcon.2024.008

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. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 128-135) https://doi.org/10.35490/EC3.2024.199

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2025). Unified and interoperable digital twin models for emergency evacuation using building simulation identity cards. Automation in Construction, 175, Article 106225. https://doi.org/10.1016/j.autcon.2025.106225

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2025). Integrating Building Simulation Identity Card and Dynamic Data Modelling for Non-Structural Components within a BIM-based Digital Twin Framework for Enhanced Emergency Evacuation in Complex Buildings. In Proceedings of Smart and Sustainable Built Environment 2025 (pp. 176-185) https://isasbec.abc2.net/index.php/sasbe/article/view/2627

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

Jacobsen, R. H., Matlekovic, L., Shi, L., Malle, N., Ayoub, N., Hageman, K., Hansen, S., Nyboe, F. F. & Ebeid, E. (2023). Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure. Applied Sciences (Switzerland), 13(3), Article 1256. https://doi.org/10.3390/app13031256

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

Islam, M. T., Khan, H. A., Naveed, K., Nauman, A., Gulfam, S. M. & Kim, S. W. (2023). LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images. Electronics, 12(8), Article 1786. https://doi.org/10.3390/electronics12081786

Isasa, C., Abou El Wafa, N., Gomes, C., Larsen, P. G. & Platzer, A. (2026). Safe Temperature Regulation: Formally Verified and Real-World Validated. In F. Damiani & M. Farrell (Eds.), Integrated Formal Methods - 20th International Conference, iFM 2025, Proceedings (pp. 143-161). Springer. https://doi.org/10.1007/978-3-032-10794-7_8

Iraji, M., Dehghani, M., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Motor Current Signature Analysis Using Shapelet. In H. Selvaraj, G. Chmaj & D. Zydek (Eds.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (pp. 23-33). Springer. https://doi.org/10.1007/978-3-030-65796-3_3

Iqbal, S., Khan, T. M., Naveed, K., Naqvi, S. S. & Nawaz, S. J. (2022). Recent trends and advances in fundus image analysis: A review. Computers in Biology and Medicine, 151, Article 106277. https://doi.org/10.1016/j.compbiomed.2022.106277

Iqbal, S., Naveed, K., Naqvi, S. S., Naveed, A. & Khan, T. M. (2023). Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector. Digital Signal Processing: A Review Journal, 139, Article 104075. https://doi.org/10.1016/j.dsp.2023.104075

Iosifidis, A. & Tefas, A. (2022). Introduction. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00006-3

Inci, E. O., Croes, J., Desmet, W., Gomes, C., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). The Effect and Selection of Solution Sequence in Co-Simulation. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552130

Inci, E. O., Desmet, W., Gomes, C. & Croes, J. (2023). Error Estimators for Adaptive Scheduling Algorithm for Serial Co-Simulation. In M. J. Blas & G. Alvarez (Eds.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 73-83). IEEE. https://ieeexplore.ieee.org/document/10155365

Inceoglu, F., Hernandez Marcano, N. J., Jacobsen, R. H. & Karoff, C. (2020). A General Overview for Localizing Short Gamma-Ray Bursts with a CubeSat Mega-Constellation. Frontiers in Astronomy and Space Sciences, 7(November), Article 573060. https://doi.org/10.3389/fspas.2020.573060

Imanberdiyev, N. & Kayacan, E. (2020). Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 674-681). Article 9254702 IEEE. https://doi.org/10.1109/IECON43393.2020.9254702

Imanberdiyev, N., Sood, S., Kircali, D. & Kayacan, E. (2022). Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism. Mechatronics, 82, Article 102719. https://doi.org/10.1016/j.mechatronics.2021.102719

Ibrahim, I. A. F. A. H., Bochtis, D., Grøn Sørensen, C. & Nørremark, M. (2010). Automated generation of guidance lines for operational field planning. Biosystems Engineering, 107(4), 294-306. https://doi.org/10.1016/j.biosystemseng.2010.09.001

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). On Quantitative Evaluations of Counterfactuals. ArXiv. https://doi.org/10.48550/arXiv.2111.00177

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

Huynh, H. A., Zamani, M., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 53GΩ@DC Input Impedance Multi-Channel Neural Recording Amplifier with 0.77 µVrms Input-Referred Noise for Deep Brain Implants. In 2021 IEEE Custom Integrated Circuits Conference, CICC 2021 - Proceedings Article 9431403 IEEE. https://doi.org/10.1109/CICC51472.2021.9431403, https://doi.org/10.1109/CICC51472.2021.9431403

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

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

Hurst, A., Lucani Rötter, D. E. & Zhang, Q. (2024). GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. IEEE Transactions on Industrial Informatics, 20(4), 6954-6962. https://doi.org/10.1109/TII.2024.3353913

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