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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Spasaro, M. (2021). Low-Power Radio-Frequency Low Noise Amplifiers for Future Wireless Transceivers. Aarhus Universitet.

Tashakor, N., Arabsalmanabadi, B., Naseri, F. & Goetz, S. (2022). Low-Cost Parameter Estimation Approach for Modular Converters and Reconfigurable Battery Systems Using Dual Kalman Filter. IEEE Transactions on Power Electronics, 37(6), 6323-6334. https://doi.org/10.1109/TPEL.2021.3137879

M. Plakhotnyuk, M., Gaudig, M., Davidsen, R. S., Lindhard, J. M., Hirsch, J., Lausch, D., Stenbæk Schmidt, M., Stamate, E. & Hansen, O. (2017). Low surface damage dry etched black silicon. Journal of Applied Physics, 122(14). https://doi.org/10.1063/1.4993425

Ronchini, M. (2023). Low Power IC Implementation of Spiking Neural Networks for Implantable Neuromorphic Chips. Aarhus Universitet.

Esterle, L. & King, D. W. (2021). Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms. ACM Transactions on Autonomous and Adaptive Systems, 16(2), [5]. https://doi.org/10.1145/3502725

Jørgensen, S. D., Kidmose, P., Mikkelsen, K., Blech, M., Hemmsen, M. C., Rank, M. L. & Kjaer, T. W. (Accepted/In press). Long-term ear-EEG monitoring of sleep – A case study during shift work. Journal of Sleep Research. https://doi.org/10.1111/jsr.13853

Musaeus, C. S., Waldemar, G., Andersen, B. B., Høgh, P., Kidmose, P., Hemmsen, M. C., Rank, M. L., Kjær, T. W. & Frederiksen, K. S. (2022). Long-Term EEG Monitoring in Patients with Alzheimer's Disease Using Ear-EEG: A Feasibility Study. Journal of Alzheimer's Disease, 90(4), 1713-1723. https://doi.org/10.3233/JAD-220491

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

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

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

Bozcan, I. (2021). Learning-based Anomaly Detection for Aerial Surveillance. Aarhus Universitet.

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

Munshi, M. T. & Klarskov, P. (2021). Laser Terahertz Emission Microscopy of Gold Nanorods forming a Coffee-stain Ring on a Semiconductor Surface. In 2021 46th International Conference on Infrared, Millimeter and Terahertz Waves (IRMMW-THz) IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850

Islam, M. T., Khan, H. A., Naveed, K., Nauman, A., Gulfam, S. M. & Kim, S. W. (2023). LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images. Electronics, 12(8), [1786]. https://doi.org/10.3390/electronics12081786

Yalsavar, M., Karimaghaee, P., Sheikh-Akbari, A., Khooban, M. H., Dehmeshki, J. & Al-Majeed, S. (2022). Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control. IEEE Access, 10, 17003-17017. https://doi.org/10.1109/ACCESS.2022.3150001

Mortensen, A. K., Hansen, A. L. & Gislum, R. (2023). Kamera og kunstig intelligens til vurdering af sygdomstryk i sukkerroer. In NBR Faglig beretning 2022 (pp. 53-56) https://www.nordicbeet.nu/wp-content/uploads/2023/02/nbr_aarsberetning_2022.pdf

Hosseinzadeh, M., Hudson, N., Zhao, X., Khamfroush, H. & Lucani Rötter, D. E. (2021). Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. In 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) (pp. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). IrradianceNet: Spatiotemporal Deep Learning Model for Satellite-Derived Solar Irradiance Nowcasting. Solar Energy, 228, 659-669. https://doi.org/10.1016/j.solener.2021.09.073

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2022). Investigation of the Effect of Spatial Filtering for Detecting Auditory Steady-State Responses Recorded from Ear-EEG. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 56-59). IEEE. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Vol. 2022 https://doi.org/10.1109/EMBC48229.2022.9871170

Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C. & Kidmose, P. (2021). Investigation of low dimensional feature spaces for automatic sleep staging. Computer Methods and Programs in Biomedicine, 205, [106091]. https://doi.org/10.1016/j.cmpb.2021.106091

Amiri, M., Dehghani, M., Khayatian, A., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Investigation of Wind Energy Impact on Power Systems Stability Using Lyapunov Exponents. In H. Selvaraj, G. Chmaj & D. Zydek (Eds.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (pp. 12-22). Springer. Lecture Notes in Networks and Systems Vol. 182 https://doi.org/10.1007/978-3-030-65796-3_2

Asif, M. R., Maurya, P. K., Larsen, J. J. & Christiansen, A. V. (2022). Investigating the Integration of Neural Networks in Least-Squares Method for Airborne Electromagnetic Data Inversion. 1-5. Paper presented at NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbia. https://doi.org/10.3997/2214-4609.202220034

Feng, H., Gomes, C., Thule, C., Lausdahl, K., Iosifidis, A. & Larsen, P. G. (2021). Introduction to Digital Twin Engineering. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552135

Iosifidis, A. & Tefas, A. (2022). Introduction. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00006-3

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

Villa-Henriksen, A. (2018). Internet-Based Harvest Fleet Logistic Optimisation. In Proceedings of the European Conference on Agricultural Engineering AgEng2018 (pp. 56) https://doi.org/10.18174/471679

Abdolmaleki, H., Astri Bjørnetun Haugen, A., Buhl, K. B., Daasbjerg, K. & Agarwala, S. (2023). Interfacial Engineering of PVDF‐TrFE toward Higher Piezoelectric, Ferroelectric, and Dielectric Performance for Sensing and Energy Harvesting Applications. Advanced Science, 10(6), [2205942]. https://doi.org/10.1002/advs.202205942

Skov, H., Riishede Christiansen, I. L., Rode, L., Pihl, K., Jørgensen, F. S., Zingenberg, H., Nørgaard, P., Gros Pedersen, N. M., Gjerris, A. C. R., Wagner, S. R., Tabor, A., Ekelund, C. K. & Sandager, P. (2022). Inter-arm blood pressure difference in early pregnancy and risk of preeclampsia. Abstract from FMF 19th World Congress 2022, Kreta, Greece. https://fetalmedicine.org/abstracts/2022/var/pdf/abstracts/2022/04236.pdf

Mosayebi, M., Sadeghzadeh, S. M., Gheisarnejad, M. & Khooban, M. H. (2021). Intelligent and Fast Model-Free Sliding Mode Control for Shipboard DC Microgrids. IEEE Transactions on Transportation Electrification, 7(3), 1662-1671. [9311751]. https://doi.org/10.1109/TTE.2020.3048552

Boudjadar, J. & Beck, M. M. (2021). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. Paper presented at Intelligent Systems Conference , Amsterdam, Netherlands.

Boudjadar, J. & Beck, M. M. (2022). Intelligent Time Synchronization Protocol for Energy Efficient Sensor Systems. In K. Arai (Ed.), Intelligent Systems and Applications - Proceedings of the 2021 Intelligent Systems Conference IntelliSys (pp. 609-623). Springer Science and Business Media Deutschland GmbH. Lecture Notes in Networks and Systems Vol. 295 https://doi.org/10.1007/978-3-030-82196-8_45

Sobolewska, E. K., Pelloux-Prayer, J., Becker, H., Li, G., Davies, C. S., Krückel, C. J., Avilés Félix, L., Olivier, A., Sousa, R. C., Prejbeanu, I. L., Kiriliouk, A. I., Van Thourhout, D., Rasing, T., Moradi, F. & Heck, M. J. R. (2020). Integration platform for optical switching of magnetic elements. In G. S. Subramania & S. Foteinopoulou (Eds.), Active Photonic Platforms XII [114612B] SPIE - International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering Vol. 11461 https://doi.org/10.1117/12.2567662

Shadmani, A., Thomas, R. A., Liu, Z., Papon, C., Heck, M. J. R., Volet, N., Scholz, S., Wieck, A. D., Ludwig, A., Lodahl, P. & Midolo, L. (2022). Integration of GaAs waveguides on a silicon substrate for quantum photonic circuits. Optics Express, 30(21), 37595-37602. https://doi.org/10.1364/OE.467920

Feng, H., Gomes, C., Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Larsen, P. G. & Sandberg, M. (2022). Integration Of The Mape-K Loop In Digital Twins. In C. R. Martin, N. Emami, M. J. Blas & R. Rezaee (Eds.), Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM (pp. 102-113). IEEE. https://doi.org/10.23919/ANNSIM55834.2022.9859489

Asif, M. R., Foged, N., Maurya, P. K., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data. Geophysics, 87(4), E177-E187. https://doi.org/10.1190/geo2021-0335.1

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

Angotzi, G. N., Giantomasi, L., F. Ribeiro, J., Crepaldi, M., Vincenzi, M., Zito, D. & Berdondini, L. (2022). Integrated Micro-Devices for a Lab-in-Organoid Technology Platform: Current Status and Future Perspectives. Frontiers in Neuroscience, 16, [842265]. https://doi.org/10.3389/fnins.2022.842265

Ehsan, S., Clark, A., Rehman, N. & McDonald-Maier, K. (2015). Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems. Sensors, 15(7), 16804-16830. https://doi.org/10.3390/s150716804

Shi, L., Mehrooz, G. & Jacobsen, R. H. (2021). Inspection Path Planning for Aerial Vehicles via Sampling-based Sequential Optimization. In 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 (pp. 679-687). [9476784] IEEE. https://doi.org/10.1109/ICUAS51884.2021.9476784

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), [5043]. https://doi.org/10.3390/polym14225043

Jensen, J. C. S. (Producer) & Nørremark, M. (Producer). (2022). Influence of the tire pressure on yield: Fendt VarioGrip. Pictures, Video and sound recordings (digital) https://www.youtube.com/watch?v=i7pZQ41xzkI

Villa-Henriksen, A., Skou-Nielsen, N., Munkholm, L. J., Sørensen, C. A. G., Green, O. & Edwards, G. T. C. (2021). Infield optimized route planning in harvesting operations for risk of soil compaction reduction. Soil Use and Management, 37(4), 810-821. https://doi.org/10.1111/sum.12654

Zambrano, V., Mueller-Roemer, J., Sandberg, M., Talasila, P., Zanin, D., Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022). Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms. Array, 14, [100176]. https://doi.org/10.1016/j.array.2022.100176

Amariei, G., Henriksen, M. L., Friis, J. B., Pedersen, P. K. & Hinge, M. (2023). In-line identification of Pb-based pigments in fishing nets and ropes based on hyperspectral imaging and machine learning. Marine Pollution Bulletin, 191, [114910]. https://doi.org/10.1016/j.marpolbul.2023.114910

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

Fares, H., Ronchini, M., Zamani, M., Farkhani, H. & Moradi, F. (2022). In the realm of hybrid Brain: Human Brain and AI. ArXiv. https://doi.org/10.48550/arXiv.2210.01461

Nazari, H. K., Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2021). Improving the Decoding Speed of Packet Recovery in Network Coding. IEEE Communications Letters, 25(2). https://doi.org/10.1109/LCOMM.2020.3031011

Zhao, X., Hosseinzadeh, M., Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2020). Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. In 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings [367470] IEEE. 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings https://doi.org/10.1109/GCWkshps50303.2020.9367470, https://doi.org/10.1109/GCWkshps50303.2020.9367470

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533875

Villa-Henriksen, A. (2021). Implementation and applications of harvest fleet route planning. Aarhus Universitet.

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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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