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 for example journal articles, books, reports etc.

The department also publishes technical reports which you can read more about under Technical reports.

Under PhD dissertations you will find the department's published PhD dissertations.

Publication list

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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

Nørremark, M., Kristensen, E. F., Jensen, M., Ottosen, C.-O., Petridis, A., Mendanha dos Santos, T., Melander, B. & Jensen, P. K. (2024). Miljøpositivliste for producentorganisationers driftsfonde til støtteberettigede teknologier til frugt- og grøntsagssektoren 2024. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Aubard, M., Quijano, S., Alvarez Tunon, O., Antal, L. & Brodskiy, Y. (2024). Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees. In OCEANS 2024 - Singapore IEEE. https://doi.org/10.1109/OCEANS51537.2024.10682385

Oshnoei, S., Aghamohammadi, M. R. & Khooban, M. H. (2024). Model-Free Predictive Frequency Control Under Sensor and Actuator FDI Attacks. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(4), 2434-2438. https://doi.org/10.1109/TCSII.2023.3339545

Abbiati, G., Gomes, C., Sandberg, M., Kazemi, Z., Hansen, S. T. & Larsen, P. G. (2024). Modelling for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 89-127). Springer. https://doi.org/10.1007/978-3-031-66719-0_5

Alvarez Tunon, O., Brodskiy, Y. & Kayacan, E. (2024). Monocular visual simultaneous localization and mapping:(r) evolution from geometry to deep learning-based pipelines. IEEE Transactions on Artificial Intelligence, 5(5), 1990-2010. Article 3321032. https://doi.org/10.1109/TAI.2023.3321032

Nørremark, M. (2024). Muligheder for mere sikker håndtering af kvæg ved teknologisk innovation. DCA - Nationalt Center for Fødevarer og Jordbrug.

Nørremark, M., (2024). Muligheder for miljøeffektberegning af teknologier for pesticidreduktion i relation til økologisk jordbrug, No. 2024-0751020, 4 p., Nov 29, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Yildirim, B., Gheisarnejad Chirani, M., Temel Özdemir, M. T. Ö. & Khooban, M. H. (2024). Multi-agent fuzzy Q-learning-based PEM fuel cell air-feed system control. International Journal of Hydrogen Energy, 75, 354-362. https://doi.org/10.1016/j.ijhydene.2024.02.129

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

Nazari, M., Korshøj, A. R. & ur Rehman, N. (2024). Multiscale dynamic graph signal analysis. Signal Processing, 222, Article 109519. https://doi.org/10.1016/j.sigpro.2024.109519

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Multiscale Dynamic Graph Signal Analysis. Social Science Research Network (SSRN). https://doi.org/10.2139/ssrn.4713829

Morante Moreno, M., Frølich, K., Shahzaib, M., shakil, S. & Rehman, N. U. (2024). Multiscale Functional Connectivity analysis of episodic memory reconstruction. Frontiers in Cognition, 3, Article 1433234. https://doi.org/10.3389/fcogn.2024.1433234

Huang, Q., Li, H., Liao, Y., Hao, Y. & Zhou, P. (2024). Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise. In M. Wand, K. Malinovská, J. Schmidhuber & I. V. Tetko (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Proceedings (pp. 320-334). Springer. https://doi.org/10.1007/978-3-031-72335-3_22

Gravesen, K. B., Gardner, A. B., Ulsig, E. Z., Stanton, E. J., Hansen, M. T., Thomsen, S. T., Ahler, L. & Volet, N. (2024). Nonlinear Schrödinger equation for integrated photonics. Journal of the Optical Society of America B: Optical Physics, 41(6), 1451-1456. https://doi.org/10.1364/JOSAB.517190

Nørremark, M., Hansen, M. J., Kai, P., Børsting, C. F. & Konnerup, D., (2024). Notat vedrørende besvarelse af henvendelser under Miljø- og Klimateknologi 2023, No. 2023-0613092, 9 p., Feb 21, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Hansen, M. J., Adamsen, A. P. S., Kai, P., Børsting, C. F., Brask, M. J., Ottosen, C.-O. & Jensen, M., (2024). Notat vedrørende miljø- og klimateknologier – screening af teknologier. Del 1, No. 2024-0766762, 54 p., Nov 22, 2024.

Shafaghi, P., Rezaeiyan, Y., Shreya, S., Moradi, F. & Farkhani, H. (2024). Novel Circuit for In-Memory Computing within STT-RAM Memory Blocks. In J. Nurmi, J. Rodrigues, L. Pezzarossa, V. Aberg & B. Behmanesh (Eds.), 2024 IEEE Nordic Circuits and Systems Conference (NorCAS): Proceedings https://doi.org/10.1109/NorCAS64408.2024.10752464

Lotfi, A., Maalandish, M., Aghaei, A., Samadian, A., Fathollahi, A., Hosseini, S. H. & Khooban, M. H. (2024). Novel multilevel inverter topology with low switch count. International Journal of Emerging Electric Power Systems, 25(3), 305-319. https://doi.org/10.1515/ijeeps-2022-0309

Grombacher, D., Griffiths, M. P., Vang, M. Ø., Kass, M. A. & Larsen, J. J. (2024). Observation of spikelets in steady-state surface nuclear magnetic resonance data. Geophysics, 89(2), J1-J8. https://doi.org/10.1190/GEO2023-0145.1

Hageman, K. & Hylsberg Jacobsen, R. (2024). On the Scheduling of Spatio-Temporal Charging Windows for Autonomous Drone Fleets. IEEE Access, 12, 74291-74304. https://doi.org/10.1109/ACCESS.2024.3405796

Sørensen, S. R., Ulsig, E. Z., Philip, F. E., Sørensen, F. R. B., Madsen, M. L., Gardner, A. B., Tønning, P., Thomsen, S. T., Gravesen, K. B., Stanton, E. J. & Volet, N. (2024). Open-source toolbox for photographic characterization of optical propagation. Optics Letters, 49(15), 4098-4101. https://doi.org/10.1364/OL.529487

Li, C., Kies, A., Zhou, K., Schlott, M., Sayed, O. E., Bilousova, M. & Stöcker, H. (2024). Optimal Power Flow in a highly renewable power system based on attention neural networks. Applied Energy, 359, Article 122779. https://doi.org/10.1016/j.apenergy.2024.122779

Kamble, K., Jensen, C. E. H. & Larsen, J. J. (2024). Optimized Suppression of VLF Radio Noise in Time-lapse Transient Electromagnetic Data. Abstract from AGU Fall meeting 2024, Washington DC, United States.

Bakhtiarnia, A. (2024). Optimizing Deep Learning Inference for Edge Intelligence. Aarhus University.

Hurst, A., Lucani Rötter, D. E. & Zhang, Q. (2024). PairwiseHist: Fast, Accurate, and Space-Efficient Approximate Query Processing with Data Compression. Proceedings of the VLDB Endowment, 17(6), 1432-1445. https://doi.org/10.14778/3648160.3648181

Angelov, P., Bernardi, M. L., Nardini, F. M., Pecori, R., Valerio, L., Dini, P., Ashraf, S., Aversano, L., Bianchini, M., Brutti, A., Bukovsky, I., Cagnoni, S., Cao, J., Cimitile, M., Dazzi, P., Iammarino, M., Iosifidis, A., Michahelles, F., Mora, A. ... Welsh, M. (2024). PerconAI 2024: 3rd Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome and Committees. In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 34-35). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10503466

Lorenzen, K. P., Heremans, E. R. M., Vos, M. D. & Mikkelsen, K. B. (2024). Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG. IEEE Journal of Biomedical and Health Informatics, 28(10), 5804-5815. https://doi.org/10.1109/JBHI.2024.3409165

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

Homayounzadeh, M., Homayounzade, M. & Khooban, M. H. (2024). Prescribed-time resilient current-sensorless DC power converter control. IET Power Electronics, 17(14), 2123-2133. https://doi.org/10.1049/pel2.12776

Naveed, K., Madsen, L. M., Grombacher, D. & Larsen, J. J. (2024). Processing Time-domain Induced Polarization Data Using Variational Mode Decomposition. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13. Article 5905713. https://doi.org/10.1109/TGRS.2024.3362290

Lillelund, C. M., Harbo, M. & Pedersen, C. F. (2024). Prognosis of fall risk in home care clients: A noninvasive approach using survival analysis. Journal of Public Health (Germany). Advance online publication. https://doi.org/10.1007/s10389-024-02317-9

Gebreyesus, G., Cheruiyot Bett , R., Nakimbugwe, D., Hansen, L. S., Nielsen, H. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., MBI Tanga, C., Mwikirize, C., Akol, R., Katumba, A., Khamis, F., Kinyua, J., Walusimbi, S., Geoffrey, S., Roos, N. & Sahana, G. (2024). Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project. Abstract from Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Hudson, N., Khamfroush, H., Baughman, M., Lucani Rötter, D. E., Chard, K. & Foster, I. (2024). QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Generation Computer Systems, 157, 250-263. https://doi.org/10.1016/j.future.2024.03.035

Amariei, G., Henriksen, M. L., Klarskov, P. & Hinge, M. (2024). Quantification of aluminium trihydrate flame retardant in polyolefins via in-line hyperspectral imaging and machine learning for safe sorting. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 311, Article 123984. https://doi.org/10.1016/j.saa.2024.123984

Rask, C. D. & Lucani Rötter, D. E. (2024). RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. In 2024 IEEE International Conference on Image Processing, ICIP 2024: Proceedings (pp. 1987-1993). IEEE. https://doi.org/10.1109/ICIP51287.2024.10647293

Talasila, P., Mikkelsen, P. H., Gil Arboleda, S. & Larsen, P. G. (2024). Realising Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 225-256). Springer. https://doi.org/10.1007/978-3-031-66719-0_11

Haldrup, M., Nazari, M., Gu, C., Rasmussen, M., Dyrskog, S., Ziegler Simonsen, C., Grønhøj, M., Poulsen, F. R., Ur Rehman, N. & Rosendal Korshoej, A. (2024). Reliability and performance of the IRRAflow® system for intracranial lavage and evacuation of hematomas-A technical note. PLOS ONE, 19(4 April), Article e0297131. https://doi.org/10.1371/journal.pone.0297131

Pajooh, B., Yildirim, B., Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Homayounzadeh, M. & Khooban, M. H. (2024). Role of redox flow battery and AI-based controller in frequency regulation of weak microgrids. Journal of Energy Storage, 84(Part B), Article 110904. https://doi.org/10.1016/j.est.2024.110904

Kristensen, M. H., Bonizzi, A., Gomes, C., Hansen, S. T., Isasa Martin, C. I., Iven, H., Kamburjan, E., Larsen, P. G., Leucker, M., Talasila, P., Evans, V. T., Tonetta, S., Vosteen, L. B. & Wright, T. D. (2024). Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service. In 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 121-127). IEEE. https://doi.org/10.1109/ACSOS-C63493.2024.00042

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

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

Kulik, T., Kazemi, Z. & Larsen, P. G. (2024). Security and Privacy-related Issues in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 313-344). Springer. https://doi.org/10.1007/978-3-031-66719-0_13

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

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

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

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, Article 107670. https://doi.org/10.1016/j.cnsns.2023.107670

Oshnoei, S., Aghamohammadi, M. R. & Khooban, M. H. (2024). Smart Frequency Control of Cyber-Physical Power System Under False Data Injection Attacks. IEEE Transactions on Circuits and Systems I: Regular Papers, 71(12), 5582-5595. https://doi.org/10.1109/TCSI.2024.3396703

Sitarz, M. K. & Boudjadar, J. (2024). Smart Occupancy-driven Control for Ventilation Systems in Buildings with Privacy Concerns. In K. Arai (Ed.), Intelligent Systems and Applications: Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (pp. 773-791) https://doi.org/10.1007/978-3-031-47718-8_50

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2024). Soft-switching multiport DC-DC converter for PV/EV applications with a bidirectional port. IET Renewable Power Generation, 18(12), 1862-1879. https://doi.org/10.1049/rpg2.13055

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Technical reports

Department of Electrical and Computer Engineering publishes technical reports covering our research areas.

With the reports, we wish to communicate the newest knowledge and research to society ahead of and during the publication process which can take up to a year.

Read the technical reports by following the link below:

Technical Report Department of Electrical and Computer Engineering

PhD dissertations

At the Department of Electrical and Computer Engineering, PhD dissertations are published via Aarhus University Library's/State and University Library's online E-books platform that is open access. You can find the published dissertations by following the link below.

PhD dissertations at Department of Electrical and Computer Engineering

AU Engineering Profile

Download AU Engineering Profile 2013-2022:

Revised 22.02.2024

AU Engineering