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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Laursen, K., Zamani, M., Rezaeiyan, Y., Hosseini, S., Mondal, T., Corbett, B., Ouagazzal, A. M., Amalric, M. & Moradi, F. (2023). An Ultrasonically-Powered System for 1.06mm³ Implantable Optogenetics and Drug Delivery Dust. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3937-3941. https://doi.org/10.1109/TCSII.2023.3289028

Lati, R. N., Rasmussen, J., Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, P., Jørgensen, R. N. & Christensen, S. (2021). Site-specific weed management—constraints and opportunities for the weed research community: Insights from a workshop. Weed Research, 61(3), 147-153. https://doi.org/10.1111/wre.12469

Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Gusmeroli, S. & Jr, G. S. (2020). A Cloud-Based Collaboration Platform for Model-Based Design of Cyber-Physical Systems. In F. De Rango, T. Ören & M. Obaidat (Eds.), Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (Vol. Volume 1: SIMULTECH, pp. 263-270). SCITEPRESS Digital Library. https://doi.org/10.5220/0009892802630270

Larsen, P. G., Fitzgerald, J., Woodcock, J., Gamble, C., Payne, R. & Pierce, K. (2018). Features of Integrated Model-Based Co-modelling and Co-simulation Technology. In A. Cerone & M. Roveri (Eds.), Software Engineering and Formal Methods - SEFM 2017 Collocated Workshops: DataMod, FAACS, MSE, CoSim-CPS, and FOCLASA, Revised Selected Papers (pp. 377-390). Springer. https://doi.org/10.1007/978-3-319-74781-1_26

Larsen, J. J., Pedersen, S. S., Foged, N. & Auken, E. (2021). Suppression of very low frequency radio noise in transient electromagnetic data with semi-tapered gates. Geoscientific Instrumentation, Methods and Data Systems, 10(1), 81-90. Article 8. https://doi.org/10.5194/gi-10-81-2021

Larsen, P. G., Soulioti, G., Macedo, H. D., Alifragkis, V., Fitzgerald, J., Livanos, N., Pfeifer, H., Pasquinelli, M., Benedict, M., Thule, C., Tonetta, S., Stritzelberger, B., Marguglio, A., Sutton, L. F., Obstbaum, M., Gusmeroli, S., Beutenmüller, F., Jr., G. S., Wijnands, Q. & Talasila, P. (2020). Enabling Combining Models and Tools in an Online MBSE Collaboration Platform. In Model Based Space Systems and Software Engineering (MBSE2020) https://indico.esa.int/event/329/attachments/3868/5508/Abstracts_combined.pdf

Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021). Apsu - A compact surface NMR instrument for groundwater investigations. SEG Technical Program Expanded Abstracts, 2021-September, 3135-3139. https://doi.org/10.1190/segam2021-3582046.1

Larsen, J. J., Langhof, R. B., Kjær, M. W., Vang, M., Liu, L., Griffiths, M. & Grombacher, D. (2022). Efficient processing of surface NMR data with spectral analysis. Geophysical Journal International, 229(1), 286-298. https://doi.org/10.1093/gji/ggab472

Larsen, P. G., Macedo, H. D., Fitzgerald, J., Pfeifer, H., Benedikt, M., Tonetta, S., Marguglio, A., Veneziano, G., Sutton, L., Gusmeroli, S. & Suciu, G. (2022). HUBCAP: A Novel Collaborative Approach to Model-Based Design of Cyber-Physical Systems. In M. S. Obaidat, T. Oren & F. D. Rango (Eds.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2020 (pp. 90-110). Springer. https://doi.org/10.1007/978-3-030-84811-8_5

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.

Larsen, J. J., Lévy, L. & Asif, M. R. (2022). Removal of powerline noise in geophysical data sets with a scientific machine-learning based approach. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 5923410. https://doi.org/10.1109/TGRS.2022.3223737

Lading, T., Lindskow, T., Sharghbin, M., Benhassen, L. L., Bechsgaard, T. K., Røpcke, D. M., Nielsen, S. L. & Johansen, P. (2018). Aortic valve repair techniques affect the annulus differently: an In Vitro characterization. The Journal of Heart Valve Disease, 27(4), 251-58.

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). INTEL-TAU: A Color Constancy Dataset. IEEE Access, 9, 39560-39567. Article 9371681. https://doi.org/10.1109/ACCESS.2021.3064382

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Within-layer Diversity Reduces Generalization Gap. Paper presented at International Conference on Machine Learning Workshop on Information Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, 2021. https://arxiv.org/pdf/2106.06012.pdf

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). On Feature Diversity in Energy-based models. Paper presented at International Conference on Learning Representations Workshop on Energy-Based Models, , Vienna. https://openreview.net/pdf?id=ks3Q08yy66r

Laakom, F., Chumachenko, K., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Learning to ignore: rethinking attention in CNNs. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05684.pdf

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). Robust channel-wise illumination estimation. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05681.pdf

Laakom, F., Raitoharju, J., Passalis, N., Iosifidis, A. & Gabbouj, M. (2022). Graph Embedding with Data Uncertainty. IEEE Access, 10, 24232-24239. https://doi.org/10.1109/ACCESS.2022.3155233

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

Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Arent, N. H., Volet, N. & Heck, M. (2022). Sub-10 kHz Intrinsic Linewidth Extended Cavity DBR laser on InP Generic Foundry Platform.

Kumar, R. R., Nielsen, L., Volet, N. & Heck, M. (2023). Intra-cavity coherent combining of DBR lasers on an InP generic foundry platform. Optics Letters, 48(7), 1614-1617. https://doi.org/10.1364/OL.483889

Kulik, T., Macedo, H. D., Talasila, P. & Larsen, P. G. (2021). Modelling the HUBCAP Sandbox Architecture In VDM: A Study In Security. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 20-35) https://arxiv.org/pdf/2101.07261.pdf

Kulik, T., Boudjadar, J. & Aranha, D. F. (2021). Formally Verified Credentials Management for Industrial Control Systems. In Proceedings - 2021 IEEE/ACM 9th International Conference on Formal Methods in Software Engineering, FormaliSE 2021: 9th IEEE/ACM International Conference on Formal Methods in Software Engineering (pp. 75-85). IEEE. https://doi.org/10.1109/FormaliSE52586.2021.00014

Kulik, T., Talasila, P., Greco, P., Veneziano, G., Marguglio, A., Sutton, L. F., Larsen, P. G. & Macedo, H. D. (2021). Extending the Formal Security Analysis of the HUBCAP sandbox. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 36-50) https://arxiv.org/abs/2110.09371

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), Article 3522582. https://doi.org/10.1145/3522582

Kulik, T., Gomes, C., Macedo, H. D., Hallerstede, S. & Larsen, P. G. (2022). Towards Secure Digital Twins. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (pp. 159-176). Springer. https://doi.org/10.1007/978-3-031-19762-8_11

Kuldeep, G. & Zhang, Q. (2020). Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Article 9322181 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9322181

Kuldeep, G. & Zhang, Q. (2020). Compressive Sensing based Multi-class Privacy-preserving Cloud Computing. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Article 9348093 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9348093

Kuldeep, G. & Zhang, Q. (2021). A Novel Efficient Secure and Error-Robust Scheme for Internet of Things Using Compressive Sensing. IEEE Access, 9, 40903-40914. Article 9373354. https://doi.org/10.1109/ACCESS.2021.3064700

Kuldeep, G. (2022). Lightweight Time-Series Signal Compression Period Extraction and Multiresolution using Difference Sequences. IEEE Internet of Things Journal, 9(9), 7043-7050. https://doi.org/10.1109/JIOT.2021.3113951

Kuldeep, G. (2022). Secure Data Compression for Internet of Things. Aarhus Universitet.

Kuldeep, G. & Zhang, Q. (2022). Multi-class privacy-preserving cloud computing based on compressive sensing for IoT. Journal of Information Security and Applications, 66, Article 103139. https://doi.org/10.1016/j.jisa.2022.103139

Kuldeep, G. & Zhang, Q. (2023). Lightweight electrocardiogram signal compression. Biomedical Signal Processing and Control, 85, Article 105012. https://doi.org/10.1016/j.bspc.2023.105012

Krysiak, Z. J., Abdolmaleki, H., Agarwala, S. & Stachewicz, U. (2022). Inkjet Printing of Electrodes on Electrospun Micro- and Nanofiber Hydrophobic Membranes for Flexible and Smart Textile Applications. Polymers, 14(22), Article 5043. https://doi.org/10.3390/polym14225043

Kruckel, C. J., Becker, H., Ban, Y., Heck, M. J. R., Van Campenhout, J. & Van Thourhout, D. (2021). Towards Maximum Energy Efficiency of Carrier-Injection-Based Silicon Photonics. Journal of Lightwave Technology, 39(9), 2931-2940. https://doi.org/10.1109/JLT.2021.3059915

Kristensen, E. F., Grøn Sørensen, C., Balafoutis, T., Vaiopoulos, K. & Vandorou, F. (2021). Available financing tools in EU agriculture. https://www.agrofossilfree.eu/wp-content/uploads/2021/10/D2.14.pdf

Kristensen, E. F. & Kristensen, J. K. (2022). Energy efficient straw boiler with low nox emission. In 30th European Biomass Conference and Exhibition (pp. 657-661)

Kristensen, E. F. & Kristensen, J. K. (2022). Efficient Straw Boiler with Low NOx Emission. Poster session presented at EUBCE 2022- The 30th edition of the European Biomass Conference and Exhibition.

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

Kristensen, E. F., Grøn Sørensen, C., Vandorou, F., Balafoutis, T. & Vaiopoulos, K. (2023). Available financing tools in EU agriculture – 2 nd update. AU and CERTH.

Kretsis, A., Kokkinos, P., Soumplis, P., Vegas Olmos, J. J., Fehér, M., Sipos, M. A., Lucani Rötter, D. E., Khabi, D., Masouros, D., Siozios, K., Bourgos, P., Tsekeridou, S., Zyulkyarov, F., Karanastasis, E., Chondrogiannis, E., Andronikou, V., Fernandez Gomez, A., Panica, S., Iuhasz, G. ... Varvarigos, M. (2021). SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. In 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 (pp. 55-60). IEEE. https://doi.org/10.1109/MeditCom49071.2021.9647689

Kremer, T., Irons, T., Müller-Petke, M. & Juul Larsen, J. (2022). Review of Acquisition and Signal Processing Methods for Electromagnetic Noise Reduction and Retrieval of Surface Nuclear Magnetic Resonance Parameters. Surveys in Geophysics, 43(4), 999-1053. https://doi.org/10.1007/s10712-022-09695-3

Kragh, M. F. & Karstoft, H. (2021). Embryo selection with artificial intelligence: how to evaluate and compare methods? Journal of Assisted Reproduction and Genetics, 38(7), 1675-1689. https://doi.org/10.1007/s10815-021-02254-6

Kragh, M. F., Rimestad, J., Lassen, J. T., Berntsen, J. & Karstoft, H. (2022). Predicting embryo viability based on self-supervised alignment of time-lapse videos. IEEE Transactions on Medical Imaging, 41(2), 465-475. https://doi.org/10.1109/TMI.2021.3116986

Kouvelas, N., Prasad, R. V., Yazdani, N. & Lucani Rötter, D. E. (2021). np-CECADA: Enhancing Ubiquitous Connectivity of LoRa Networks. In Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021 (pp. 374-382). IEEE. https://doi.org/10.1109/MASS52906.2021.00054

Kopler, I., Marchaim, U., Tikász, I. E., Opaliński, S., Kokin, E., Mallinger, K., Neubauer, T., Gunnarsson, S., Soerensen, C., Phillips, C. J. C. & Banhazi, T. (2023). Farmers’ Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors. Animals, 13(18), Article 2868. https://doi.org/10.3390/ani13182868

Konnerup, D., Nørremark, M. & Jensen, M. (2022). Miljøpositivliste for producentorganisationers driftsfonde til støtteberettigede teknologier til frugt- og grøntsagssektoren 2022. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Klionsky, D. J., Abeliovich, H., Agostinis, P., Agrawal, D. K., Aliev, G., Askew, D. S., Baba, M., Baehrecke, E. H., Bahr, B. A., Ballabio, A., Bamber, B. A., Bassham, D. C., Bergamini, E., Bi, X., Biard-Piechaczyk, M., Blum, J. S., Bredesen, D. E., Brodsky, J. L., Brumell, J. H. ... Deter, R. L. (2008). Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes. Autophagy, 4(2), 151-75. https://doi.org/10.4161/auto.5338

Kleinschmidt, V., Hamacher, T. & Peric, V. (2022). Flexibility in active distribution networks - Modelling a fully coupled multi-energy system in MESMO. In Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022 (pp. 475-479). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTAsia54193.2022.10003526

Kleinschmidt, V., Troitzsch, S., Hamacher, T. & Peric, V. (2021). Flexibility in distribution systems Modelling a thermal-electric multi-energy system in FLEDGE. In Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEurope52324.2021.9640044

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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

If you wish to get a copy of AU Engineering Profile 2022, please contact contact@auengineering.au.dk

Revised 10.08.2023

AU Engineering