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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Madsen, M. L., Ulsig, E. Z., Folsach, S., Godoy, P. H., Stanton, E. J. & Volet, N. (2023). Mid-infrared difference-frequency generation in AlGaAs-on-insulator waveguides. Journal of the Optical Society of America B: Optical Physics, 40(7), 1742-1748. https://doi.org/10.1364/JOSAB.488065

Macedo, H. D. (2021). Digital Twins. 12-15. Paper presented at Digitale tvillinger i afløbs- og spildevandsbranchen . http://www.evanet.dk/wp-content/uploads/2021/09/2021_03_EVA_blad.pdf

Macedo, H. D., Thule, C. & Pierce, K. (2021). Proceedings of the 19th International Overture Workshop. https://arxiv.org/abs/2110.09371

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/

Macedo, H. D., Sassanelli, C., Larsen, P. G. & Terzi, S. (2021). Facilitating model-based design of cyber-manufacturing systems. Procedia CIRP, 104, 1936-1941. https://doi.org/10.1016/j.procir.2021.11.327

Macedo, H. D. & Pierce, K. (Eds.) (2022). Proceedings of the 20th International Overture Workshop. https://doi.org/10.48550/arXiv.2208.10233

Maalandish, M., Babaeian, E., Abolhasani, P., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Ultra high step-up soft-switching DC/DC converter using coupled inductor and interleaved technique. IET Power Electronics, 16(8), 1320-1338. https://doi.org/10.1049/pel2.12472

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. https://doi.org/10.1049/pel2.12486

Ma, C., Rutz, D., Hofmeier, V., Janssen, R., Balafoutis, A., Vaiopoulos, K., Vandorou, F., Sørensen, C. A. G., Manolakos, D., Koutsouris, A., Paris, B., Papadakis, G., Borzecka, M., Wydra, M., Biševac, V., Creupelandt, D., Román, J., Rossi, D., Próchniak, M. ... Asín, M. (2022). Support for Decarbonizing the European Agriculture - The Agrofossilfree Project. In European Biomass Conference and Exhibition Proceedings (EUBCE 2022) (pp. 402-405). ETA-Florence Renewable Energies. http://www.etaflorence.it/proceedings/

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 (pp. 373 - 378)

Lund, J., Jensen, L. B., Macedo, H. D. & Larsen, P. G. (2022). Towards UML and VDM Support in the VS Code Environment. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 50-65) https://doi.org/10.48550/arXiv.2208.10233

Lumer-Klabbers, G., Hausted, J. O., Kvistgaard, J. L., Macedo, H. D., Frasheri, M. & Larsen, P. G. (2021). Towards a digital twin framework for autonomous robots. In W. K. Chan, B. Claycomb, H. Takakura, J-J. Yang, Y. Teranishi, D. Towey, S. Segura, H. Shahriar, S. Reisman & S. I. Ahamed (Eds.), 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 1254-1259). IEEE. https://doi.org/10.1109/COMPSAC51774.2021.00174

Ludolfinger, U., Zinsmeister, D., Perić, V. S., Hamacher, T., Hauke, S. & Martens, M. (2023). Recurrent Soft Actor Critic Reinforcement Learning for Demand Response Problems. In 2023 IEEE Belgrade PowerTech, PowerTech 2023 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PowerTech55446.2023.10202844

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

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

Looney, D., Rehman, N. U., Mandic, D., Rutkowski, T. M., Heidenreich, A. & Beyer, D. (2009). Conditioning multimodal information for smart environments. In 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) IEEE. https://doi.org/10.1109/icdsc.2009.5289373

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

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

Lindahl Petersen , K., Ladegaard Jensen, K., Back Nielsen, M., Pas, L-C., Jensen, N-P., Nielsen, P. R., Bøjer, O. M., Nyholm Jørgensen, R., Laursen, M. S., Teimouri, N. & Hartmann, B. (2021). Analyse af mulige herbicidbesparelser ved brug af erfaringer og data fra RoboWeedMaPS. Datalogisk Institut. https://datalogisk.dk/wp-content/uploads/2021/03/MST_20rapport_version_2_2002092021.pdf

Lillelund, C. M., Pedersen, C. F., Harbo, M. & Fibiger Smed, C. (2021). Vejen til genoptræning går gennem data. Medicoteknik, 8(3), 18-19. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=18

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

Lillelund, C. M., Magris, M. & Pedersen, C. F. (2023). Uncertainty Estimation in Deep Bayesian Survival Models. In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’23)

Licklederer, T., Zinsmeister, D., Elizarov, I., Perić, V. & Tzscheutschler, P. (2021). Characteristics and challenges in prosumer-dominated thermal networks. Journal of Physics: Conference Series, 2042(1), Article 012039. https://doi.org/10.1088/1742-6596/2042/1/012039

Licklederer, T., Hamacher, T., Kramer, M. & Perić, V. S. (2021). Thermohydraulic model of Smart Thermal Grids with bidirectional power flow between prosumers. Energy, 230, Article 120825. https://doi.org/10.1016/j.energy.2021.120825

Licklederer, T., Zinsmeister, D., Lukas, L., Speer, F., Hamacher, T. & Perić, V. S. (2024). Control of bidirectional prosumer substations in smart thermal grids: A weighted proportional-integral control approach. Applied Energy, 354, Article 122239. https://doi.org/10.1016/j.apenergy.2023.122239

Li, B., Schultz, C. P. L., Melzner, J., Golovina, O. & Teizer, J. (2020). Safe and Lean Location-based Construction Scheduling. In H. Osumi, H. Furuya & K. Tateyama (Eds.), Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC 2020): From Demonstration to Practical Use - To New Stage of Construction Robot - (pp. 1409-1416). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2020/0195

Li, B., Schultz, C. P. L., Dimyadi, J. & Amor, R. (2021). Defeasible reasoning for automated building code compliance checking. In V. Semenov & R. J. Scherer (Eds.), ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction: Proceedings of the 13th European Conference on Product & Process Modelling (ECPPM 2021), 15-17 September 2021, Moscow, Russia (pp. 229-236). CRC Press. https://doi.org/10.1201/9781003191476

Li, B., Schultz, C., Teizer, J., Golovina, O. & Melzner, J. (2022). Towards a unifying domain model of construction safety, health and well-being: SafeConDM. Advanced Engineering Informatics, 51, Article 101487. https://doi.org/10.1016/j.aei.2021.101487

Li, B., Fitzgerald, J. & Schultz, C. (2022). Modelling the impacts of crowds on occupants in the built environment—A static, rule-based approach to human perception and movement. Advanced Engineering Informatics, 51, Article 101452. https://doi.org/10.1016/j.aei.2021.101452

Li, L., Looney, D., Park, C., Rehman, N. U. & Mandic, D. P. (2011). Power independent EMG based gesture recognition for robotics. In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE. https://doi.org/10.1109/iembs.2011.6090036

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

Li, N., Iosifidis, A. & Zhang, Q. (2022). Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 4281-4286). IEEE. https://doi.org/10.1109/ICC45855.2022.9838547

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 (pp. 3667-3672). IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Li, N., Iosifidis, A. & Zhang, Q. (2022). Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 982-987). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001067

Li, R., Shreya, S., Ricci, S., Bridarolli, D., Ielmini, D., Farkhani, H. & Moradi, F. (2023). Thermal-Induced Multi-State Memristors for Neuromorphic Engineering. In The IEEE International Symposium on Circuits and Systems (ISCAS) IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182122

Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-based Feature Compression for CNN Inference Offloading in Edge Computing. In arXIV https://doi.org/10.48550/arXiv.2211.13745 Focus to learn more

Li, N. (2023). Edge AI for Time-critical Internet-of-things. Aarhus University.

Leporowski, B. & Iosifidis, A. (2021). Visualising deep network time-series representations. Neural Computing and Applications, 33(23), 16489-16498. https://doi.org/10.1007/s00521-021-06244-8

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. https://doi.org/10.1007/978-3-030-90700-6_25

Leka, S. & Jacobsen, H. S. (2022). The role of Idea management system in Absorptive Capacity and Action-based Process of Radical innovation. In Event Proceedings: LUT Scientific and Expertise Publications LUT Scientific and Expertise Publications.

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

Lehmann, A., Trolle, D. & Nielsen, A. (2023). A global webservice to generate SWAT+ hourly and daily input climate files from ERA5 reanalysis data. Abstract from 2023 Denmark SWAT Conference, Aarhus, Denmark.

Legaard, C. M., Tola, D., Schranz, T., Macedo, H. D. & Larsen, P. G. (2021). A Universal Mechanism for Implementing Functional Mock-up Units. In G. Wagner, F. Werner, T. I. Ören & F. D. Rango (Eds.), Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021, Online Streaming, July 7-9, 2021 (pp. 121-129). SCITEPRESS Digital Library. https://doi.org/10.5220/0010577601210129

Legaard, C. M., Thule, C. & Larsen, P. G. (2019). Towards Graphical Configuration in the INTO-CPS Application. In 17TH OVERTURE WORKSHOP

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Article 236. https://doi.org/10.1145/3567591

le Fevre Sejersen, J., Pimentel De Figueiredo, R. & Kayacan, E. (2021). Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1901-1907) https://doi.org/10.1109/CASE49439.2021.9551637

Laursen, K. (2021). Ultra-Low Power IC Design for Ultrasonically-Powered Implants. Aarhus Universitet.

Laursen, S. R. L., Holm, H. A. & Nielsen, S. H. (2022). Heart rate-based dynamic sound intervention - a pilot study. In Proceedings of the EUROREGIO/BNAM2022 Conference: Joimt Acoustics Conference (pp. 473-481). https://www.conforg.fr/erbnam2022/output_directory/data/articles/000032.pdf

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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 10.08.2023

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