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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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

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Lillelund, C. M., Pannullo, F., Jakobsen, M. O. & Pedersen, C. F. (2023). Predicting Survival Time of Ball Bearings in the Presence of Censoring. In AAAI Symposium on Survival Prediction: Algorithms, Challenges, and Applications (SPACA) AAAI Press.

Shabani, M., Magris, M., Tzagkarakis, G., Kanniainen, J. & Iosifidis, A. (2023). Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots. Neural Computing and Applications, 35(25), 18519–18531. https://doi.org/10.1007/s00521-023-08674-y

Baltakys, K., Baltakienė, M., Heidari, N., Iosifidis, A. & Kanniainen, J. (2023). Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance. Expert Systems with Applications, 228, Article 120285. https://doi.org/10.1016/j.eswa.2023.120285

Mazur-Milecka, M., Kowalczyk, N., Jaguszewska, K., Zamkowska, D., Wójcik, D., Preis, K., Skov, H., Wagner, S., Sandager, P., Sobotka, M. & Rumiński, J. (2023). Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data. In P. Strumiłło, A. Klepaczko, M. Strzelecki & D. Bociąga (Eds.), The Latest Developments and Challenges in Biomedical Engineering: Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, Lodz, Poland, September 27–29, 2023 (pp. 267-281). Springer. https://doi.org/10.1007/978-3-031-38430-1_21

Riishede, I., Rode, L., Sperling, L., Ravn, J. D., Sandager, P., Skov, H., Wagner, S. R., Nørgaard, P., Clausen, T. D., Jensen, C. A. J., Pihl, K., Jørgensen, F. S., Munk, J. K., Zingenberg, H. J., Pedersen, N. G., Andersen, M. R., Wright, A., Wright, D., Tabor, A. & Ekelund, C. K. (2023). Pre-eclampsia screening in Denmark (PRESIDE): national validation study. Ultrasound in Obstetrics and Gynecology, 61(6), 682-690. https://doi.org/10.1002/uog.26183

Riishede, I., Rode, L., Sperling, L., Overgaard, M., Ravn, J. D., Sandager, P., Skov, H., Wagner, S. R., Nørgaard, P., Clausen, T. D., Jensen, C. A. J., Pihl, K., Jørgensen, F. S., Munk, J. K., Zingenberg, H. J., Pedersen, N. G., Andersen, M. R., Wright, A., Wright, D. ... Ekelund, C. K. (2023). Pre-eclampsia Screening in Denmark (PRESIDE): National Validation Study. Obstetrical and Gynecological Survey, 78(12), 715-717. https://doi.org/10.1097/01.ogx.0001004636.48406.54

Merhi, Y., Betancur, P. F., Ripolles, T. S., Suetta, C., Brage-Andersen, M. R., Hansen, S. K., Frydenlund, A., Nygaard, J. V., Mikkelsen, P. H., Boix, P. P. & Agarwala, S. (2023). Printed dry electrode for neuromuscular electrical stimulation (NMES) for e-textile. Nanoscale, 15(11), 5337-5344. https://doi.org/10.1039/d2nr06008f

Macedo, H. D. & Pierce, K. (2023). Proceedings of the 21st International Overture Workshop. http://arxiv.org/pdf/2311.07120v2

Hallerstede, S. & Kamburjan, E. (Eds.) (2023). Proceedings of the Workshop on Applications of Formal Methods and Digital Twins co-located with 25th International Symposium on Formal Methods (FM 2023). CEUR-WS.org. CEUR Workshop Proceedings Vol. 3507 https://ceur-ws.org/Vol-3507/

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. In 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191962

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

Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Deep Learning for Fast Switching of Full-Bridge Power Converters. Designs, 7(3), Article 60. https://doi.org/10.3390/designs7030060

Faurby, C. F. D., Wang, Y., Paesani, S., Ruf, F., Volet, N., Heck, M., Wieck, A. D., Ludwig, A., Midolo, L. & Lodahl, P. (2023). Quantum-Dot Single-Photon Sources Processed on Silicon-Nitride Integrated Circuits. Paper presented at Conference on Laser and Electro-Optics (CLEO) , San Jose, California, United States.

Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Power Electronics: From Theory to Implementation. ArXiv. https://doi.org/10.48550/arXiv.2303.04763

Khan, F., Hervella, C., Diez, L., Fernández, F., Marcano, N. J. H., Jacobsen, R. H. & Agüero, R. (2023). Realistic assessment of transport protocols performance over LEO-based communications. Computer Networks, 236, Article 110008. https://doi.org/10.1016/j.comnet.2023.110008

Rafiei Foroushani, M., Tran, D. T. & Iosifidis, A. (2023). Recognition of Defective Mineral Wool Using Pruned ResNet Models. In H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (Eds.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10217993

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Article 100475. https://doi.org/10.1016/j.taml.2023.100475

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

Wang, X., Mukherjee, M., Kumar, V., Mavromoustakis, C. X., Shoufan, A., Guo, M. & Zhang, Q. (2023). Rendering Delay Minimization in RIS-assisted Edge Computing for IIoT with VR Streaming. In 2023 IEEE Globecom Workshops, GC Wkshps 2023 (pp. 1319-1324). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465022

Benhassen, L. L., Hedensted, J. H., Hasenkam, J. M. & Johansen, P. (2023). Reply to Jasinski et al. European Journal of Cardio-Thoracic Surgery, 64(3), ezad312. Article ezad312. https://doi.org/10.1093/ejcts/ezad312

Nørremark, M. & Grøn Sørensen, C. (2023). Report from the regional workshops: Deliverable 3.3 AgroFossilFree. Final Report on AFF regional workshops outcome.

Fathollahidehkordi, A., Gheisarnejad Chirani, M., Andresen, B., Farsizadeh, H. & Khooban, M. H. (2023). Robust Artificial intelligence Controller for Stabilization of Full-Bridge Converters Feeding Constant Power Loads. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(9), 3504-3508. https://doi.org/10.1109/TCSII.2023.3270751

Homayounzade, M., Homayounzadeh, M. & Khooban, M. H. (2023). Robust positive control of tumour growth using angiogenic inhibition. IET Systems Biology, 17(5), 288-301. https://doi.org/10.1049/syb2.12076

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

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

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), Article 035005. https://doi.org/10.1088/1361-6579/acbc06

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

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

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, Article 6502313. https://doi.org/10.1109/TIM.2023.3264033

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. In 2023 IEEE Photonics Conference (IPC) https://doi.org/10.1109/IPC57732.2023.10360732

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.

Vang, M., Grombacher, D., Larsen, J. J. & Wilson, S. (2023). Small coil surface nuclear magnetic resonance in dynamic river systems in New Zealand. In 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

Khooban, M. H. (2023). Smartenance DC-DC On-Board Power Converters. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(1), 191-195. https://doi.org/10.1109/TCSII.2022.3206230

Mosayebi, M., Gheisarnejad Chirani, M., Farsizadeh, H., Andresen, B. & Khooban, M. H. (2023). Smart Extreme Fast Portable Charger for Electric Vehicles-Based Artificial Intelligence. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(2), 586-590. https://doi.org/10.1109/TCSII.2022.3176863

Grøn Sørensen, C. (2023). Smart Farming and Circular Systems. In Q. Zhang (Ed.), Encyclopedia of Smart Agriculture Technologies (pp. 1276-1282). Springer. https://doi.org/10.1007/978-3-030-89123-7_254-1

Li, N., Bennis, M., Iosifidis, A. & Zhang, Q. (2023). Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. In IEEE Globecom 2023 (pp. 1603-1608). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465187

Ghanatian, H., Benetti, L., Anacleto, P., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2023). Spin-orbit torque flash analog-to-digital converter. Scientific Reports, 13(1), Article 9416. https://doi.org/10.1038/s41598-023-35845-7

Rezaeiyan, Y., Zamani, M., Shreya, S., Farkhani, H. & Moradi, F. (2023). Spin-Torque Based Radio-Frequency Signal Classification Front-End. In 2023 IEEE International Symposium on Circuits and Systems (ISCAS) IEEE. https://doi.org/10.1109/ISCAS46773.2023.10181428

Heidary, J., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Stability Enhancement and Energy Management of AC-DC Microgrid based on Active Disturbance Rejection Control. Electric Power Systems Research, 217, Article 109105. https://doi.org/10.1016/j.epsr.2022.109105

Woodcock, J., Andersen, M. S., Aranha, D. F., Hallerstede, S., Hansen, S. T., Jakobsen, N. K., Kulik, T., Larsen, P. G., Macedo, H. D., Martin, C. I. I. & Norrild, V. A. M. (2023). State of the Art Report: Verified Computation. https://doi.org/10.48550/arXiv.2308.15191

Musaeus, C. S., Kjær, T. W., Cacic Hribljan, M., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Frederiksen, K. S. (2023). Subclinical Epileptiform Activity in Dementia with Lewy Bodies. Movement Disorders, 38(10), 1861-1870. https://doi.org/10.1002/mds.29531

Ma, C., Rutz, D., Balafoutis, A., Vaiopoulos, K., Vandorou, F., Kyriakarakos, G., Grøn Sørensen, C., Nørremark, M., Kristensen, E. F., Manolakos, D., Koutsouris, A., Kanaki, V., Paris, B., Papadakis, G., Borzecka, M., Wydra, M., Biševac, V., Vansintjan, D., Román, J. ... Hansen, A. G. (2023). SUPPORTING BIOMASS USAGE AND PRODUCTION TO DECARBONIZE AGRICULTURE INDUSTRY: THE AGROFOSSILFREE PROJECT. In 31st European Biomass Conference and Exhibition: Proceedings (pp. 373 - 378)

Aher, G. R., Macedo, H. D., Larsen, P. G. & Ramanujan, D. (2023). Supporting Design for Circular Economy Using Lifecycle Co-Simulation. In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 28th Design for Manufacturing and the Life Cycle Conference (DFMLC) Article DETC2023-116537, V005T05A006; American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2023-116537

Hansen, S. T., Gomes, C. & Kazemi, Z. (2023). Synthesizing Orchestration Algorithms for FMI 3.0. In M. J. Blas & G. Alvarez (Eds.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 184-195). IEEE. https://ieeexplore.ieee.org/document/10155361

Tamashiro, M. A., Schaper, M.-M. A., Jensen, A. V., Heick, R., Danielsen, B., Van Mechelen, M., Jensen, K. L., Smith, R. C. & Iversen, O. S. (2023). Teaching Technical and Societal Aspects of IoT - A case study using the Orbit IoT Kit. In DIS '23: : Proceedings of the 2023 ACM Designing Interactive Systems Conference (Vol. 1, pp. 1236-1247). Association for Computing Machinery. https://doi.org/10.1145/3563657.3596092

Vang, M., Grombacher, D., Griffiths, M. P., Liu, L. & Larsen, J. J. (2023). Technical note: High-density mapping of regional groundwater tables with steady-state surface nuclear magnetic resonance - three Danish case studies. Hydrology and Earth System Sciences, 27(16), 3115-3124. https://doi.org/10.5194/hess-27-3115-2023

Leitenstorfer, A., Moskalenko, A. S., Kampfrath, T., Kono, J., Castro-Camus, E., Peng, K., Qureshi, N., Turchinovich, D., Tanaka, K., Markelz, A. G., Havenith, M., Hough, C., Joyce, H. J., Padilla, W. J., Zhou, B., Kim, K. Y., Zhang, X. C., Jepsen, P. U., Dhillon, S. ... Cunningham, J. (2023). The 2023 terahertz science and technology roadmap. Journal of Physics D: Applied Physics, 56(22), Article 223001. https://doi.org/10.1088/1361-6463/acbe4c

Legaard, C. M. (2023). The Next Paradigm for Modeling and Simulation? Integrating Machine Learning Methods in FMI-based Co-Simulation. [PhD dissertation, Aarhus University]. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.

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