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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Larsen, E. L., Espelund, U., Lauritsen, S. M., Thiesson, B., Lange, J., Friis Kjeldsen, G. & Jørgensen, M. J. (2022). +Priokritisk. Early identification of clinical detorioriation among hospitalized patients by explainable AI. Poster session presented at Symposium on Artificial Intelligence for Learning Health Systems.

Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A., Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022). 3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Computers & Geosciences, 159, [105017]. https://doi.org/10.1016/j.cageo.2021.105017

Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Augustin, L., Volet, N. & Heck, M. (2022). A 10-kHz intrinsic linewidth coupled extended-cavity DBR laser monolithically integrated on an InP platform. Optics Letters, 47(9), 2346-2349 . https://doi.org/10.1364/OL.454478

Ghanatian, H., Farkhani, H., Rezaeiyan, Y., Bohnert, T., Ferreira, R. & Moradi, F. (2022). A 3-Bit Flash Spin-Orbit Torque (SOT)-Analog-to-Digital Converter (ADC). IEEE Transactions on Electron Devices, 69(4), 1691-1697. https://doi.org/10.1109/TED.2022.3142649

Kamari, A., Kotula, B. M. & Schultz, C. P. L. (2022). A BIM-based LCA tool for sustainable building design during the early design stage. Smart and Sustainable Built Environment, 11(2), 217-244. https://doi.org/10.1108/SASBE-09-2021-0157

Ronchini, M., Zamani, M., Huynh, H. A., Rezaeiyan, Y., Panuccio, G., Farkhani, H. & Moradi, F. (2022). A CMOS-based neuromorphic device for seizure detection from LFP signals. Journal of Physics D: Applied Physics, 55(1), [014001]. https://doi.org/10.1088/1361-6463/ac28bb

Asif, M. R., Bording, T. S., Maurya, P. K., Zhang, B., Fiandaca, G., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data. IEEE Transactions on Geoscience and Remote Sensing, 60, [4503610]. https://doi.org/10.1109/TGRS.2021.3076121

Rezaei, M. A., Nayeripour, M., Hu, J., S. Band, S., Mosavi, A. H. & Khooban, M. H. (2022). A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads. IEEE Access, 10, 14157-14183. https://doi.org/10.1109/ACCESS.2022.3146256

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 2945-2953. https://doi.org/10.1109/TSMC.2021.3057957

Tøttrup, D., Skovgaard, S. L., Sejersen, J. L. F. & de Figueiredo, R. P. (2022). A Real-Time Method for Time-to-Collision Estimation from Aerial Images. Journal of Imaging, 8(3), [62]. https://doi.org/10.3390/jimaging8030062

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

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

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. 190-195. Paper presented at 2022 IEEE/SICE International Symposium on System Integration (SII), Narvik, Norway. https://doi.org/10.1109/SII52469.2022.9708769

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

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://arxiv.org/pdf/2208.10233.pdf

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

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

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

Stampe 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://arxiv.org/pdf/2208.10233.pdf

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

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

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.

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. Paper presented at Symposium i Anvendt Statistik, København, Denmark. http://www.statistiksymposium.dk/Symposium%202022_Web.pdf

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 73rd Annual Meeting of the European Federation of Animal Science EAAP (Vol. 28, pp. 181-181). Wageningen Academic Publishers. EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-937-4

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

Esterle, L. (2022). Deep learning in multiagent systems. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 435-460). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00022-1

Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. In IEEE INFOCOM 2022 IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

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, [102719]. https://doi.org/10.1016/j.mechatronics.2021.102719

Leporowski, B. T., Tola, D., Hansen, C. & Iosifidis, A. (2022). Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. In A-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (pp. 224-232). Springer. Lecture Notes in Mechanical Engineering https://doi.org/10.1007/978-3-030-90700-6_25

Akhbari, A., Rahimi, M. & Khooban, M. H. (2022). Direct current grid-based doubly-fed induction generator wind turbines: Real-time control and stability analysis. IET Power Electronics, 15(12), 1158-1173. https://doi.org/10.1049/pel2.12299

Li, N., Iosifidis, A. & Zhang, Q. (2022). Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. In ICC 2022 - IEEE International Conference on Communications IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Brusatori, M. F. & Volet, N. (2022). Dynamics of Semiconductor Lasers under External Optical Feedback from Both Sides of the Laser Cavity. Photonics, 9(1), [43]. https://doi.org/10.3390/photonics9010043

Wan, S., Chen, C. & Iosifidis, A. (2022). Editorial to special issue on cross-media learning for visual question answering. Image and Vision Computing, 118, [104355]. https://doi.org/10.1016/j.imavis.2021.104355

Ulsig, E. Z., Degli Eredi, I. & Volet, N. (2022). Efficient frequency conversion of low-intensity light in AlGaAs-on-insulator waveguides. In P. G. Schunemann & V. Petrov (Eds.), Nonlinear Frequency Generation and Conversion: Materials and Devices XXI [119850D] SPIE - International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering Vol. 11985 https://doi.org/10.1117/12.2607179

Hassan Hire, J., Agianniotis, N., Kofoed, B. P. & Moradi, F. (2022). Energy Harvesting In Immersed Tunnel For Powering Wireless Sensor Nodes For Corrosion Monitoring. I E E E Sensors Journal, 22(10), 9892-9903. https://doi.org/10.1109/JSEN.2022.3165659

Nisar, A., Dhull, S., Shreya, S. & Kaushik, B. K. (2022). Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture. IEEE Transactions on Electron Devices, 69(4), 1736-1742. https://doi.org/10.1109/TED.2022.3150623

Far Brusatori, M. & Volet, N. (2022). External optical feedback engineered to reduce and stabilize the linewidth of diode lasers. In V. S. Ilchenko, A. M. Armani & J. V. Sheldakova (Eds.), Laser Resonators, Microresonators, and Beam Control XXIV [119870D] SPIE - International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering Vol. 11987 https://doi.org/10.1117/12.2609616

Mohseni, S-R., Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology. Transactions of the Institute of Measurement and Control. https://journals.sagepub.com/doi/full/10.1177/01423312221119635

Kjaer-Rasmussen, A., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2022). Fast removal of powerline harmonic noise from surface NMR datasets using a projection-based approach on graphical processing units. IEEE Geoscience and Remote Sensing Letters, 19, [8024005]. https://doi.org/10.1109/LGRS.2021.3118064

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2022). Feedforward Neural Networks Initialization based on Discriminant Learning. Neural Networks, 146, 220-229. https://doi.org/10.1016/j.neunet.2021.11.020

Marcano, N. J. H., Diez, L., Aguero, R. & Jacobsen, R. H. (2022). Finite Buffer Queuing Delay Performance in the Low Earth Orbit Land Mobile Satellite Channel. In 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 (pp. 132-137). Institute of Electrical and Electronics Engineers Inc.. IEEE Wireless Communications and Networking Conference, WCNC Vol. 2022-April https://doi.org/10.1109/WCNC51071.2022.9771859

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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:

Get a copy of the AU Engineering Profile 2022

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Revised 06.09.2022

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