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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Kulik, T., Dongol, B., Larsen, P. G., Macedo, H. D., Schnieder, S., Tran-Jørgensen, P. W. V. & Woodcock, J. (2022). A Survey of Practical Formal Methods for Security. Formal Aspects of Computing, 34(1), [3522582]. https://doi.org/10.1145/3522582

Kamari, A. & Schultz, C. P. L. (2022). A combined principal component analysis and clustering approach for exploring enormous renovation design spaces. Journal of Building Engineering , 48, [103971]. https://doi.org/10.1016/j.jobe.2021.103971

Mokarram, M., Pham, T. M. & Khooban, M. H. (2022). A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant. Environmental Science and Pollution Research, 29(56), 84661-84674. https://doi.org/10.1007/s11356-022-21734-5

Shi, L. & Jacobsen, R. H. (2022). A method for controlling a plurality of uavs. (Patent No. WO2022029158A1). https://patents.google.com/patent/WO2022029158A1

Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, [e00331]. https://doi.org/10.1016/j.ohx.2022.e00331

Sohrabzadi, E., Gheisarnejad Chirani, M., Esfahani, Z. & Khooban, M. H. (2022). A novel intelligent ultra-local model control-based type-II fuzzy for frequency regulation of multi-microgrids. Transactions of the Institute of Measurement and Control, 44(5), 1134-1148. https://doi.org/10.1177/01423312211043060

Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Tavana, M. R., Vafamand, N. & Khooban, M. H. (2022). A robust intelligent controller-based motion control of a wheeled mobile robot. Transactions of the Institute of Measurement and Control, 44(15), 2911-2918. https://doi.org/10.1177/01423312221088389

Kass, M. A., Grombacher, D., Griffiths, M., Vang, M. Ø., Liu, L. & Larsen, J. J. (2022). A steady-state approach to surface nuclear magnetic resonance. In Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP (pp. 54). J and N Group, Ltd.. Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP https://www.eegs.org/assets/docs/Symposium/2022SAGEEP/AbstractsbyAuthor/Kass%2C%20A%20STEADY-STATE%20APPROACH%20TO%20SURFACE%20NUCLEAR%20MAGNETIC%20RESONANCE%20-%20SAGEEP%202022%20-%20205367449.pdf

Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J. & Khooban, M. H. (2022). A type-2 fuzzy control for active/reactive power control and energy storage management. Transactions of the Institute of Measurement and Control, 44(5), 1014-1028. https://doi.org/10.1177/01423312211048038

Liu, Z., Liang, J., Zhang, S. & Kayacan, E. (2022). ANN-Based vibration control of an aerial refueling hose system with input nonlinearity and prescribed output constraint. Journal of the Franklin Institute, 359(6), 2627-2645. https://doi.org/10.1016/j.jfranklin.2022.01.006

Madsen, E., Tola, D., Hansen, C., Gomes, C. & Larsen, P. G. (2022). AURT: A Tool for Dynamics Calibration of Robot Manipulators. In 2022 IEEE/SICE International Symposium on System Integration (SII) (pp. 190-195). IEEE. https://doi.org/10.1109/SII52469.2022.9708769

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2022). Accurate detection and identification of insects from camera trap images with deep learning. bioRxiv. https://doi.org/10.1101/2022.10.25.513484

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, [e13837]. https://doi.org/10.7717/peerj.13837

Rezaei, M. A., Fathollahidehkordi, A., Rezaei, S., Hu, J., Gheisarnejad Chirani, M., Teimouri, A. R., Sharma, R., Mosavi, A. H. & Khooban, M. H. (2022). Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles. IEEE Access, 10, 132271-132287. https://doi.org/10.1109/ACCESS.2022.3228916

Rask, J. K., Madsen, F. P., Battle, N., Freitas, L., Macedo, H. D. & Larsen, P. G. (2022). Advanced VDM Support in Visual Studio Code. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 34-49) https://doi.org/10.48550/arXiv.2208.10233

Khare, S. K., Gaikwad, N. & Bokde, N. D. (2022). An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets. Sensors (Switzerland), 22(21), [8128]. https://doi.org/10.3390/s22218128

Mosayebi, M., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). An intelligent sliding mode control for stabilization of parallel converters feeding CPLs in DC-microgrid. IET Power Electronics, 15(14), 1596-1606. https://doi.org/10.1049/pel2.12329

Ruf, F., Nielsen, L., Volet, N. & Heck, M. (2022). Analysis and Design of Low-Loss and Fast All-Optical Switch Elements on Silicon Nitride for Integrated Quantum Photonics. Journal of Lightwave Technology, 40(23), 7598-7609. https://doi.org/10.1109/JLT.2022.3213445

Bakhtiarnia, A., Leporowski, B., Esterle, L. & Iosifidis, A. (2022). Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. In 2022 IEEE International Smart Cities Conference (ISC2) IEEE. https://doi.org/10.1109/ISC255366.2022.9921939

Tran, D. T., Passalis, N., Tefas, A., Gabbouj, M. & Iosifidis, A. (2022). Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access, 10, 45542-45552. https://doi.org/10.1109/ACCESS.2022.3169776

Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2022). Author Correction: Photoplethysmography for demarcation of cutaneous squamous cell carcinoma (Scientific Reports, (2021), 11, 1, (21467), 10.1038/s41598-021-00645-4). Scientific Reports, 12(1), [3521]. https://doi.org/10.1038/s41598-022-06856-7

Potapenko, I., Thiesson, B., Kristensen, M., Hajari, J. N., Ilginis, T., Fuchs, J., Hamann, S. & la Cour, M. (2022). Automated artificial intelligence-based system for clinical follow-up of patients with age-related macular degeneration. Acta Ophthalmologica, 100(8), 927-936. https://doi.org/10.1111/aos.15133

Asif, M. R., Maurya, P. K., Foged, N., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Automated transient electromagnetic data processing for ground-based and airborne systems by a deep learning expert system. IEEE Transactions on Geoscience and Remote Sensing, 60, [5919814]. https://doi.org/10.1109/TGRS.2022.3202304

Mann, H. M. R., Iosifidis, A., Jepsen, J. U., Welker, J. M., Loonen, M. J. J. E. & Høye, T. T. (2022). Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning. Remote Sensing in Ecology and Conservation, 8(6), 765-777. https://doi.org/10.1002/rse2.275

Phan, H. & Mikkelsen, K. (2022). Automatic sleep staging of EEG signals: recent development, challenges, and future directions. Physiological measurement, 43(4), [04TR01]. https://doi.org/10.1088/1361-6579/ac6049

Ebeid, E. S. M., Jacobsen, R. H., Schenider-Kamp, P., Vom Bögel, G., Guzzini, P., Luminari, N., Casarotti, C., Mandirola, M., Taurino, D. & Del Sole, A. (2022). Autonomous Drones to Ensure Safety in Transport: Concept and Implementations. 1-9. Paper presented at SESAR Innovation days 2022, Budapest, Hungary, Hungary.

Kristensen, E. F., Grøn Sørensen, C., Vandorou, F., Balafoutis, T. & Vaiopoulos, K. (2022). Available financing tools in EU agriculture – 1^stupdate. https://www.agrofossilfree.eu/wp-content/uploads/2023/02/D2.15.pdf

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2022). BIM-based fall hazard ontology and benchmark model for comparison of automated prevention through design approaches in construction safety. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (pp. 408-417) https://ebooks.au.dk/aul/catalog/view/455/311/1837-3

Monisha, M. & Agarwala, S. (2022). Biodegradable materials: Foundation of transient and sustainable electronics. Materials Science in Additive Manufacturing, 1(3), [15]. https://doi.org/10.18063/msam.v1i3.15

Lotlikar, V. S., Satpute, N. & Gupta, A. (2022). Brain Tumor Detection Using Machine Learning and Deep Learning: A Review. Current Medical Imaging, 18(6), 604-622. https://doi.org/10.2174/1573405617666210923144739

Villadsen, K., Dalgaard Jensen, M., Larsen, P. G. & Macedo, H. D. (2022). Bridging the Requirements-Specification Gap using Behaviour-Driven Development. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 19-33) https://doi.org/10.48550/arXiv.2208.10233

Kappel, S. L. & Kidmose, P. (2022). Characterization of Dry-Contact EEG Electrodes and an Empirical Comparison of Ag/AgCl and IrO₂ Electrodes. In 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3127-3130). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871923

Bechchristensen, C., Lunner, T., Harte, J., Rank, M. & Kidmose, P. (2022). Chirp-Evoked Auditory Steady-State Response: The Effect of Repetition Rate. IEEE Transactions on Biomedical Engineering, 69(2), 689-699. https://doi.org/10.1109/TBME.2021.3103332

Lillelund, C. M., Jensen, H. B. & Pedersen, C. F. (2022). Cloud K-SVD for Image Denoising. SN Computer Science, 3, [151]. https://doi.org/10.1007/s42979-022-01042-y

Li, N., Iosifidis, A. & Zhang, Q. (2022). Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Computer Networks, 214, [109150]. https://doi.org/10.1016/j.comnet.2022.109150

Schaper, M-M. A., Smith, R. C., Tamashiro, M. A., Van Mechelen, M., Lunding, M. S., Bilstrup, K-E. K., Kaspersen, M. H., Jensen, K. L., Petersen, M. G. & Iversen, O. S. (2022). Computational Empowerment in Practice: Scaffolding teenagers’ learning about emerging technologies and their ethical and societal impact. International Journal of Child - Computer Interaction, 34, [100537]. https://doi.org/10.1016/j.ijcci.2022.100537

Hedegaard Morsing, L. & Iosifidis, A. (2022). Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella & T. Hassner (Eds.), Computer Vision – ECCV 2022 (pp. 369-385). Springer. Lecture Notes in Computer Science Vol. 13664 https://doi.org/10.1007/978-3-031-19772-7_22

Hedegaard Morsing, L. & Iosifidis, A. (2022). Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. ArXiv. https://arxiv.org/abs/2204.03418?context=cs

Hedegaard Morsing, L., Bakhtiarnia, A. & Iosifidis, A. (2022). Continual Transformers: Redundancy-Free Attention for Online Inference. ArXiv. https://arxiv.org/abs/2201.06268

Tamirat, T. W., Pedersen, S. M., Farquharson, R. J., de Bruin, S., Forristal, P. D., Sørensen, C. G., Nuyttens, D., Pedersen, H. H. & Thomsen, M. N. (2022). Controlled traffic farming and field traffic management: Perceptions of farmers groups from Northern and Western European countries. Soil and Tillage Research, 217, [105288]. https://doi.org/10.1016/j.still.2021.105288

Spasaro, M., Bonen, S., Cooke, G., Jager, T., Nhut, T. D., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact Low-Power 60GHz Amplifier for Spin Qubit Control in Monolithic Silicon Quantum Processors. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 164-167). IEEE. IEEE MTT-S International Microwave Symposium Digest Vol. 2022-June https://doi.org/10.1109/IMS37962.2022.9865561

Nhut, T. D., Bonen, S., Cooke, G., Jager, T., Spasaro, M., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact mm-Wave Broadband SPST Switch in 22nm FDSOI CMOS for Monolithic Quantum Processors. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 168-171). IEEE. https://doi.org/10.1109/IMS37962.2022.9865577

Macedo, H. D., Højberg, J., Jensen, J. & Thomsen, U. (2022). Data-Driven Extraneous Water Quantification. Abstract from 12th Urban Drainage Modeling Conference. https://udm2022.org/2021/11/09/data-driven-extraneous-water-quantification/

Nielsen, A. H. (2022). Data-Driven Weather Forecasting using Deep Learning. Aarhus Universitet.

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. 129-142. Abstract from Symposium i Anvendt Statistik 2022, København, Denmark.

Foldager, L., Kaiser, M., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (pp. 181-181). Wageningen Academic Publishers. EAAP Book of Abstracts Vol. 28 https://doi.org/10.3920/978-90-8686-937-4

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In P. Linde (Ed.), Symposium i anvendt statistik (pp. 129-142). SEGES Innovation. http://www.statistiksymposium.dk/Symposium%202022_Web.pdf

Asif, M. R., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Deep Convolutional Auto-Encoder for Automated Processing of Airborne Time-Domain Electromagnetic Data. 1-5. Paper presented at NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbia. https://doi.org/10.3997/2214-4609.202220038

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. In Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)

Pham, H. X., Ugurlu, H. I., Fevre, J. L., Bardakci, D. & Kayacan, E. (2022). Deep learning for vision-based navigation in autonomous drone racing. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 371-406). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00020-8

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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

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Get a copy of the AU Engineering Profile 2022

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Revised 06.09.2022

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