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

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

Jørgensen, S. D., Kidmose, P., Mikkelsen, K., Blech, M., Hemmsen, M. C., Rank, M. L. & Kjaer, T. W. (2023). Long-term ear-EEG monitoring of sleep – A case study during shift work. Journal of Sleep Research, 32(5), Article e13853. https://doi.org/10.1111/jsr.13853

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

de la Cour, J. D., Johnsen, C.-J. & Avery, J. E. (2024). Lockstep-Parallel Dualization of Surface Triangulations. In PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference Article 9 Association for Computing Machinery. https://doi.org/10.1145/3659914.3659923

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

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., Iosifidis, A. & Gabbouj, M. (2023). Learning Distinct Features Helps, Provably. In D. Koutra, C. Plant, M. Gomez Rodriguez, E. Baralis & F. Bonchi (Eds.), Machine Learning and Knowledge Discovery in Databases: Research Track: European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II (pp. 206-222). Springer. https://doi.org/10.1007/978-3-031-43415-0_13

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

Oleksiienko, I. & Iosifidis, A. (2023). Layer Ensembles. In D. Comminiello & M. Scarpiniti (Eds.), 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) IEEE. https://doi.org/10.1109/MLSP55844.2023.10286005

Marandi, A., Alves, P. G. M. R., Aranha, D. F. & Jacobsen, R. H. (2024). Lattice-based Homomorphic Encryption for Privacy-Preserving Smart Meter Data Analytics. The Computer Journal, 67(5), 1687-1698. https://doi.org/10.1093/comjnl/bxad093

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 2021 IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850

Nørremark, M., Hansen, M. J., Børsting, C. F., Ottosen, C.-O. & Jensen, P. K., (2023). Landbrugsteknisk hjælp til besvarelse af høringssvar til Miljø- og klimateknologi 2023, No. 2023-0543309, 41 p., Sept 19, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

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 Faglig beretning 2022: Verksamhetsberättelse (pp. 53-56). NBR Nordic Beet Research Foundation. https://www.nordicbeet.nu/wp-content/uploads/2023/02/nbr_aarsberetning_2022.pdf

Hallerstede, S. (2006). Justifications for the event-b modelling notation. In J. Julliand & O. Kouchnarenko (Eds.), B 2007: Formal Specification and Development in B - 7th International Conference of B Users, Proceedings (pp. 49-63). Springer Verlag. https://doi.org/10.1007/11955757_7

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 2021 (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

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. https://doi.org/10.1007/978-3-030-65796-3_2

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. 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, Article 106091. https://doi.org/10.1016/j.cmpb.2021.106091

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Investigation of Data-driven algebraic Reynolds stress models for turbulent secondary flows. In The 14th International ERCOFTAC Symposium on Engineering Turbulence Modelling and Measurements Proceedings https://www.ercoftac.org/etmm/program/conference-program/

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

Meskin, M., Starkey, P. A., Kaspersen, A. E., Ringgaard, S., Sand, S. G., Nygaard, J. V., Jensen, J. A., Traberg, M. S. & Johansen, P. (2024). Investigating the importance of left atrial compliance on fluid dynamics in a novel mock circulatory loop. Scientific Reports, 14(1), 1864. Article 1864. https://doi.org/10.1038/s41598-024-52327-6

Khare, S. K., Khan, A. M., Bajaj, V. & Sinha, G. R. (2023). Introduction to smart healthcare and the role of cognitive sensors. In G. R. Sinha & V. Bajaj (Eds.), Cognitive Sensors: Applications in smart healthcare (Vol. 2, pp. 1-21). IOP Publishing. https://doi.org/10.1088/978-0-7503-5346-5ch1

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

Haldrup, M., Rasmussen, M., Mohamad, N., Dyrskog, S., Thorup, L., Mikic, N., Wismann, J., Grønhøj, M., Poulsen, F. R., Nazari, M., Rehman, N. U., Simonsen, C. Z. & Korshøj, A. R. (2023). Intraventricular Lavage vs External Ventricular Drainage for Intraventricular Hemorrhage: A Randomized Clinical Trial. JAMA network open, 6(10), e2335247. Article e2335247. https://doi.org/10.1001/jamanetworkopen.2023.35247

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

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

Kakavandi, F., Han, P., de Reus, R., Larsen, P. G. & Zhang, H. (2023). Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications. In 2023 International Conference on Control, Automation and Diagnosis (ICCAD 2023) IEEE. https://doi.org/10.1109/ICCAD57653.2023.10152435

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), Article 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

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

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. https://doi.org/10.1007/978-3-030-82196-8_45

Yildirim, B., Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2023). Intelligent frequency stabilization of low-inertia islanded power grids-based redox battery. Journal of Energy Storage, 71, Article 108190. https://doi.org/10.1016/j.est.2023.108190

Fathollahi, A. (2024). Intelligent Control Framework for Improving Energy System Stability Through Deep Learning-Based Modal Optimization Scheme. Sustainability (Switzerland), 16(21), Article 9392. https://doi.org/10.3390/su16219392

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. Article 9311751. https://doi.org/10.1109/TTE.2020.3048552

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 Article 114612B SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2567662

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

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

Gil Arboleda, S., Schou, C., Mikkelsen, P. H. & Larsen, P. G. (2024). Integrating Skills into Digital Twins in Cooperative Systems. In 2024 IEEE/SICE International Symposium on System Integration (SII) (pp. 1124-1131). IEEE. https://doi.org/10.1109/SII58957.2024.10417610

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

Bano, F., Rizwan, A., Serbaya, S. H., Hasan, F., Karavas, C. S. & Fotis, G. (2024). Integrating Microgrids into Engineering Education: Modeling and Analysis for Voltage Stability in Modern Power Systems. Energies, 17(19), Article 4865. https://doi.org/10.3390/en17194865

Asiminari, G., Moysiadis, V., Kateris, D., Busato, P., Wu, C., Achillas, C., Sørensen, C. G., Pearson, S. & Bochtis, D. (2024). Integrated Route-Planning System for Agricultural Robots. AgriEngineering, 6(1), 657-677. https://doi.org/10.3390/agriengineering6010039

Abraham, E. (Ed.), Hallerstede, S. (Ed.), Hatcliff, J. (Ed.), Stewart, D. (Ed.) & Abou El Wafa, N. (2023). Integrated Rigorous Analysis in Cyber-Physical Systems Engineering. Dagstuhl Reports, 13(1), 155-183. https://doi.org/10.4230/DagRep.13.1.155

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, Article 842265. https://doi.org/10.3389/fnins.2022.842265

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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:

Revised 22.02.2024

AU Engineering