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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Rasmussen, S. M., Nielsen, T., Hager, H. & Schousboe, L. P. (2022). Spatial analysis of photoplethysmography in cutaneous squamous cell carcinoma. Scientific Reports, 12(1), [7318]. https://doi.org/10.1038/s41598-022-10924-3

Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). Visual Studio Code VDM Support. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 35-50) https://arxiv.org/pdf/2101.07261.pdf

Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). The Specification Language Server Protocol: A Proposal for Standardised LSP Extensions. In J. Proença & A. Paskevich (Eds.), Proceedings of the 6th Workshop on Formal Integrated Development Environment (Vol. 338, pp. 3-18). Open Publishing Association. Electronic Proceedings in Theoretical Computer Science Vol. 388 https://doi.org/10.4204/EPTCS.338.3

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

Rashidi, A., Yazdani, N. & Sodagar, A. M. (2021). Fully implantable, multi-channel microstimulator with tracking supply ribbon, multi-output charge pump and energy recovery. IET Circuits, Devices & Systems, 15(2), 104-120. https://doi.org/10.1049/cds2.12007

Rashidi, A., Zamani, M., Mondal, T., Hosseini, S., Laursen, K., Corbett, B. & Moradi, F. (2023). Ultrasonically Powered and Controlled Microsystem for Dual-Wavelength Optogenetics With a Multiload Regulation Scheme. IEEE Solid-State Circuits Letters, 33-36. https://doi.org/10.1109/LSSC.2023.3239601

Rahimi, M., Momenzadeh, M., Akhbari, A. & Khooban, M. H. (2023). Performance enhancement of parallel-operated inverter-based virtual synchronous generators supplying active load. IET Electric Power Applications. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/elp2.12307

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9. https://doi.org/10.1109/ACCESS.2021.3066300

Radmanesh, H., Maalandish, M., Pourjafar, S. & Khooban, M. H. (2023). High step-up MIMO DC–DC power converter control-based pole placement. International Journal of Circuit Theory and Applications, 51(3), 1313-1331. https://doi.org/10.1002/cta.3469

Pullens, J. W. M., Sørensen, C. A. G. & Olesen, J. E. (2021). Temperature-based prediction of harvest date in winter and spring cereals as a basis for assessing viability for growing cover crops. Field Crops Research, 264, [108085]. https://doi.org/10.1016/j.fcr.2021.108085

Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C. & Kappel, S. L. (2021). Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (pp. 420-423). Institute of Electrical and Electronics Engineers Inc.. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS https://doi.org/10.1109/EMBC46164.2021.9630958

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

Pimentel de Figueiredo, R., Le Fevre Sejersen, J., Grimm Hansen, J. & Brandão, M. (2022). Integrated design-sense-plan architecture for autonomous geometric-semantic mapping with UAVs. Frontiers in Robotics and AI, 9, [911974]. https://doi.org/10.3389/frobt.2022.911974

Pierce, K., Lausdahl, K. & Frasheri, M. (2022). Speeding Up Design Space Exploration through Compiled Master Algorithms. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 66-81) https://doi.org/10.48550/arXiv.2208.10233

Pianini, D., Pettinari, F., Casadei , R. & Esterle, L. (2022). A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems. ACM Transactions on Autonomous and Adaptive Systems, 17(1-2), 1-39. https://doi.org/10.1145/3547145

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

Phan, H., Mikkelsen, K., Chen, O. Y., Koch, P., Mertins, A. & De Vos, M. (2022). SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Transactions on Biomedical Engineering, 69(8), 2456-2467. https://doi.org/10.1109/TBME.2022.3147187

Pham, X. H., Bozcan, I., Sarabakha, A., Haddadin, S. & Kayacan, E. (2021). GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing. Paper presented at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, Prag, Czech Republic. https://sarabakha.info/files/papers/conference/IROS_2021.pdf

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

Pham, X. H., Sarabakha, A., Odnoshyvkin, M. & Kayacan, E. (2022). PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing. IEEE Robotics and Automation Letters, 7(4), 11847 - 11854. https://doi.org/10.1109/LRA.2022.3207545

Pham, X. H. (2023). Efficient deep learning-based monocular 3D perception for agile robot navigation. Aarhus Universitet.

Pedersen, L., Wagner, S., Skov, H. & Sandager, P. (2023). A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation. In G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (Eds.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (pp. 189-199). Springer. Communications in Computer and Information Science Vol. 1799 https://doi.org/10.1007/978-3-031-29548-5_13

Payne, D. N. R., Abbott, M. D., Claville Lopez, A., Zeng, Y., Hang Fung, T., R. McIntosh, K., Cruz-Campa, J., Davidsen, R. S., Plakhotnyuk, M. & Bagnall, D. M. (2017). Rapid optical modelling of plasma textured silicon. In Proceedings of the 33rd European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC)

Pauwels, R. & Iosifidis, A. (2023). Deep Learning in Image Processing - Part 1: Types of Neural Networks, Image Segmentation.

Pauwels, R. & Iosifidis, A. (2023). Deep Learning in Image Processing – Part 2: Image Enhancement, Reconstruction and Registration.

Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 925-930. https://doi.org/10.1109/TNNLS.2020.2979745

Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Robust hypersphere-based weight imprinting for few-shot learning. In 2020 28th European Signal Processing Conference (EUSIPCO (pp. 1392-1396). [9287340] IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287340

Passalis, N., Kanniainen, J., Gabbouj, M., Iosifidis, A. & Tefas, A. (2021). Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. Journal of Signal Processing Systems, 93(10), 1235-1251. https://doi.org/10.1007/s11265-020-01624-0

Park, C., Looney, D., Rehman, N. U., Ahrabian, A. & Mandic, D. P. (2013). Classification of Motor Imagery BCI Using Multivariate Empirical Mode Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(1), 10-22. https://doi.org/10.1109/tnsre.2012.2229296

Paredis, R., Gonçalves Gomes, C. Â. & Vangheluwe, H. (2021). Towards a Family of Digital Model/Shadow/Twin Workflows and Architectures: In H. Panetto, M. Macchi & K. Madani (Eds.), Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics (pp. 174-182). SCITEPRESS Digital Library. https://doi.org/10.5220/0010717600003062

Oudshoorn, F. W., Bartzanas, T., Holden, N., Järvinen, M., Jensen, A. L., Lauwers , L., Vandaele, L., Guckt, T. V. D., Van Nuffel, A., Saeys, W. & Grøn Sørensen, C. (2014). ICT-AGRI Call 2 Mid-term Project Report: SILF: Smart Integrated Livestock Farming. https://pureportal.ilvo.be/en/publications/ict-agri-call-2-mid-term-project-report-silf-smart-integrated-liv

Oshnoei, S., Fathollahidehkordi, A., Oshnoei, A. & Khooban, M. H. (2023). Microgrid Frequency Regulation Based on a Fractional Order Cascade Controller. Fractal Fractional. https://www.mdpi.com/2504-3110/7/4/343

Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S., Fathollahidehkordi, A. & Khooban, M. H. (2023). A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control. Applied Energy, 343, [121233]. https://doi.org/10.1016/j.apenergy.2023.121233

Oleksiienko, I. & Iosifidis, A. (2021). Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. In N. Mallenahalli, A. Bhattacharya, S. Senatore, A. Negi & A. Hirose (Eds.), 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) (pp. 59-64). IEEE. https://doi.org/10.1109/ICETCI51973.2021.9574075

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2022). Variational Neural Networks implementation in Pytorch and JAX[Formula presented]. Software Impacts, 14, [100431]. https://doi.org/10.1016/j.simpa.2022.100431

Oleksiienko, I. & Iosifidis, A. (2022). 3D object detection and tracking. In A. Iosifidis & A. Tefa (Eds.), Deep Learning for Robot Perception and Cognition (pp. 313-340). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00018-X

Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. Aarhus University.

Oda, T., Akari, K., Yamamoto, Y., Nakakoji, K., Chang, H-M. & Larsen, P. G. (2021). Specifying Abstract User Interface in VDM-SL. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 5-20) https://arxiv.org/pdf/2101.07261.pdf

Oda, T., Araki, K., Sahara, S., Chang, H-M. & Larsen, P. G. (2021). Refactoring for Exploratory Specification in VDM-SL. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 21-35) https://arxiv.org/abs/2110.09371

Oda, T., Kusakabe, S., Chang, H-M. & Larsen, P. G. (2022). VDM-SL in action: A FRAM-based approach to contextualise formal specifications. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 5-18) https://doi.org/10.48550/arXiv.2208.10233

Nørremark, M., Hansen, E. M. & Thomsen, I. K., (2022). Vurderingen af miljøeffekten ved variabel tildeling af husdyrgødning under præcisionslandbrug, No. 2021-0310376, 12 p., Apr 21, 2022. Rådgivningsnotat fra DCA – National Center for Fødevarer og Jordbrug

Nørremark, M., Nilsson, R. S. & Grøn Sørensen, C. (2022). In-Field Route Planning Optimisation and Performance Indicators of Grain Harvest Operations. Agronomy, 12(5), [1151]. https://doi.org/10.3390/agronomy12051151

Nørremark, M. (2022). Pilot project on precision farming. 4. Abstract from Advances and Innovations in Agricultural Engineering., Herning, Denmark.

Nørremark, M. & Grøn Sørensen, C. (2022). Logistic chain redesign in crop harvest processes. Poster session presented at Fremtidens Dage, Herning, Denmark.

Németh, J. A., Far Brusatori, M. & Volet, N. (2022). Optimizing the self-homodyne coherent receiver method for frequency-noise measurements. In L. E. Busse, Y. Soskind & P. C. Mock (Eds.), Photonic Instrumentation Engineering IX [120080J] SPIE - International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering Vol. 12008 https://doi.org/10.1117/12.2609508

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

Nikkhah Kashani, H., Rouhi Ardeshiri, R., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). Optimal Cascade Non-Integer Controller for Shunt Active Power Filter: Real-Time Implementation. Designs, 6(2), [32]. https://doi.org/10.3390/designs6020032

Nielsen, L. & Heck, M. (2021). Fully integrated 45-GHz harmonically mode-locked ring laser with an intra-cavity Mach–Zehnder filter. Optics Letters, 46(4), 880-883. https://doi.org/10.1364/OL.415356

Nielsen, L. & Heck, M. (2021). Boosting the output power and wall-plug efficiency of lasers on a generic InP platform. In S. M. García-Blanco & P. Cheben (Eds.), Integrated Optics: Devices, Materials, and Technologies XXV (Vol. 11689). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581908

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3485-3494. https://doi.org/10.1109/JSTARS.2021.3062936

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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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