Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi.

Publikationsliste

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Rehman, Z. U., Hassan, U., Islam, S. U., Gallos, P. & Boudjadar, J. (2025). Energy-Efficient AI for Medical Diagnostics: Performance and Sustainability Analysis of ResNet and MobileNet. I Intelligent Health Systems – From Technology to Data and Knowledge (s. 1225-1229). IOS Press. https://doi.org/10.3233/SHTI250585

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

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

Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. I IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2021: Proceedings Artikel 9484460 IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460

Agarwala, S. (2019). Enabling new possibilities in smart textiles through printed electronics. I 2019 IEEE 9th International Nanoelectronics Conferences, INEC 2019 Artikel 8853853 IEEE. https://doi.org/10.1109/INEC.2019.8853853

Kazemi, Z., Yildiz, E. & Larsen, P. G. (2024). Enabling Flexible Manufactuirng in Wind Industry Based on Movable Factory Concept: Definitions, Requirements, and Challenges. I 2024 IEEE International Conference on Industrial Technology (ICIT) IEEE. https://doi.org/10.1109/ICIT58233.2024.10540826

Kakavandi, F. (2024). Enabling Fault Detection in an Industrial Medical Device Assembly Process. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Tola, D. (2024). Enabling Digitalization in Modular Robotic Systems Integration. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

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. I Model Based Space Systems and Software Engineering (MBSE2020) https://indico.esa.int/event/329/attachments/3868/5508/Abstracts_combined.pdf

Castillo-Sánchez, J. B., Cano-García, J. M., González-Parada, E. & Frasheri, M. (2025). Enabling Autonomous Agents for Mobile Wireless Sensor Networks. Applied Sciences (Switzerland), 15(11), Artikel 6193. https://doi.org/10.3390/app15116193

Masoudian, A., Jakobsen, U. & Khooban, M. H. (2025). Emulation of Variational Quantum Circuits on Embedded Systems for Real-Time Quantum Machine Learning Applications. Designs, 9(4), Artikel 87. https://doi.org/10.3390/designs9040087

Mousavi, S. A., GhahramanIzadi, Z. & Khooban, M. H. (2024). Empowering talkative power technology in wireless power transfer with machine learning. IET Power Electronics, 17(16), 3083-3092. https://doi.org/10.1049/pel2.12826

Amer, A. H. K. S. A., Mehndiratta, M., Brodskiy, Y. & Kayacan, E. (2025). Empowering Autonomous Underwater Vehicles Using Learning-Based Model Predictive Control With Dynamic Forgetting Gaussian Processes. IEEE Transactions on Control Systems Technology, 33(5), 1913-1920. https://doi.org/10.1109/TCST.2025.3539218

Khawaja, W. & Jacobsen, R. H. (2025). Empirical Performance Evaluation of CCSDS Reed-Solomon and Convolutional Codes for CubeSat Downlink Channels. I 2025 IEEE Military Communications Conference, MILCOM 2025 (s. 907-908). IEEE. https://doi.org/10.1109/MILCOM64451.2025.11310322

Rezaei, N. (2023). Emerging technologies in design and testing of protection relays for transmission system connected to inverter based resources. I 22nd Wind and Solar Integration Workshop (WIW 2023) (Bind 2023, s. 712-719). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2807

Ssemakula, F., Nawoya, S., Kunyanga, C. N., Akol, R., Nakimbugwe, D., Bett, R. C., Karstoft, H., Bjerge, K., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Emerging technologies for fast determination of nutritional quality and safety of insects for food and feed: A review. Computers and Electronics in Agriculture, 239, Artikel 111126. https://doi.org/10.1016/j.compag.2025.111126

Rehman, N. U., Park, C., Huang, N. E. & Mandic, D. P. (2013). Emd via memd: Multivariate noise-aided computation of standard emd. Advances in Adaptive Data Analysis, 05(02), 1350007. https://doi.org/10.1142/s1793536913500076

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

Zayed, Y. N. H. (2026). Embedding Human-Centered Social Design Intentions in Digital Building Models. [Ph.d.-afhandling, Aarhus Universitet].

Voros, N. S., Snook, C. F., Hallerstede, S. & Masselos, K. (2005). Embedded system design using formal model refinement: An approach based on the combined use of UML and the B language. Design Automation for Embedded Systems, 9(2), 67-99. https://doi.org/10.1007/s10617-005-1184-6

Frydenlund, A., Poggi, A. I., Hansen, S. K., Brage-Andersen, M., Merhi, Y., Agarwala, S., Mikkelsen, P. H., Nygaard, J. V., Steffensen, I. E. & Suetta, C. (2021). Elektrisk stimulation mod muskel- og funktionstab hos en patient indlagt med COVID-19. Ugeskrift for Læger, 183(20), 1-4. Artikel V03210275. https://ugeskriftet.dk/files/scientific_article_files/2021-05/v03210275_web.pdf

Dahl, M. K., Hire, J. H., Zamani, M., Luca, A. & Moradi, F. (2026). Electromechanical Impedance Sensing Under Humid Conditions: Experimental Insights and Compensation Using Machine Learning. Sensors, 26(3), Artikel 943. https://doi.org/10.3390/s26030943

Kusumanchi, P., Madsen, J. G., Bek, T. & Davidsen, R. S. (2023). Electrical Stimulation of retinal tissue with pyrolytic carbon microelectrodes. Poster-session præsenteret på The EYE and the Chip, 13th World Research Congress on Artificial Vision, Southfield, Michigan, USA.

Kusumanchi, P., Madsen, J. G., Bek, T., Keller, S. S. & Davidsen, R. S. (2025). Electrical stimulation of neuroretinas with 3D pyrolytic carbon electrodes. Biomedical Microdevices, 27(1), Artikel 7. https://doi.org/10.1007/s10544-024-00729-8

Salamon, H., Wang, Y., Snedker-Nielsen, A., Shadmani, A., Schott, R., Balauroiu, M., Volet, N., Ludwig, A. & Midolo, L. (2025). Electrical Control of Quantum Dots in GaAs-on-Insulator Waveguides for Coherent Single-Photon Generation. Nano Letters, 25(46), 16366-16371. https://doi.org/10.1021/acs.nanolett.5c04044

Saha, S., Sivakumar, N., Bandaru, N., Roy, S. C. & Rath, J. K. (2025). Electrical characterization and double diode modelling of heterojunction of TiO₂-SnS quantum dots. Journal of Materials Science: Materials in Electronics, 36(10), Artikel 624. https://doi.org/10.1007/s10854-025-14688-0

Lillelund, C. M., Magris, M. & Pedersen, C. F. (2025). Efficient Training of Probabilistic Neural Networks for Survival Analysis. IEEE Journal of Biomedical and Health Informatics, 29(9), 6157-6166. https://doi.org/10.1109/JBHI.2024.3417369

Tcherniak, D., Talasila, P., Ulriksen, M. D., Abbiati, G., Mahato, S. & Jensen, A. M. D. (2025). Efficient system identification, model updating, and virtual sensing in the Digital-Twin-as-a-Service software platform. I M. Dohler, A. Melot & M. A. Lopez (red.), Proceedings of the 11th International Operational Modal Analysis Conference, IOMAC 2025 (s. 271-279). International Operational Modal Analysis Conference (IOMAC). https://iomac2025.sciencesconf.org/596439/document

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

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

Morsing, L. H. (2023). Efficient Online Processing with Deep Neural Networks. [Ph.d.-afhandling, Aarhus Universitet].

Griffiths, M. P., Grombacher, D. J. & Larsen, J. J. (2021). Efficient numerical Bloch solutions for multipulse surface NMR. Geophysical Journal International, 227(3), 1905-1916. https://doi.org/10.1093/gji/ggab321

Vang, M. Ø., Grombacher, D., Larsen, J. J. & Wilson, S. (2025). Efficient mapping of complex groundwater systems associated with braided rivers using small coil surface nuclear magnetic resonance. Geophysics, 90(3), 1-12. https://doi.org/10.1190/geo2023-0765.1

Ulsig, E. Z., Degli-Eredi, I., Stanton, E. J. & Volet, N. (2022). Efficient Low Threshold Frequency Conversion in AlGaAs-On-Insulator Waveguides. Frontiers in Photonics, 3, Artikel 904651. https://doi.org/10.3389/fphot.2022.904651

Ulsig, E. Z., Degli Eredi, I. & Volet, N. (2022). Efficient frequency conversion of low-intensity light in AlGaAs-on-insulator waveguides. I P. G. Schunemann & V. Petrov (red.), Nonlinear Frequency Generation and Conversion: Materials and Devices XXI Artikel 119850D SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2607179

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

Ulsig, E. Z., Madsen, M. L., Stanton, E. J., Reddy, D. V., Leger, A. Z., Sørensen, S. R., Godoy, P. H., Degli-Eredi, I., Stevens, M. J., Hamel, D. R., Shalm, L. K., Mirin, R. P. & Volet, N. (2024). Efficient and widely tunable mid-infrared sources using GaAs and AlGaAs integrated platforms for second-order frequency conversion. Optics Express, 32(21), 36986-37000. https://doi.org/10.1364/OE.523615

Hansen, M. T., Ulsig, E. Z., Labbé, F., Madsen, M. L., Ding, Y., Rottwitt, K. & Volet, N. (2023). Efficient and robust second-harmonic generation in thin-film lithium niobate using modal phase matching. Frontiers in Photonics, 4, Artikel 1324648. https://doi.org/10.3389/fphot.2023.1324648

Hansen, S. K., Hansen, P., Berry, T. W., Grønbæk, H. D., Olsen, C. M., Merhi, Y., Agarwala, S., Aagaard, P., Hvid, L. G., Agergaard, J., Dela, F. & Suetta, C. (2025). Effects of neuromuscular electrical stimulation on voluntary muscle activation and peripheral muscle contractility following short-term bed rest. Experimental Physiology, 110(12), 1966-1977. https://doi.org/10.1113/EP092194

Foldager, L., Thodberg, K., Chen, G., Kristensen, J. K., Jensen, L. D., Kaiser, M., Kobek-Kjeldager, C., Rong, L. & Herskin, M. S. (2024). Effects of deck height during transport of weaners: in-vehicle conditions and clinical indicators. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 487-487). Artikel Session 38, Poster 12 Wageningen Academic Publishers.

Sergeeva, A., Bech Christensen, C. & Kidmose, P. (2024). Effect of Stimulus Bandwidth on the Auditory Steady-State Response in Scalp- and Ear-EEG. Ear and Hearing, 45(3), 626-635. https://doi.org/10.1097/AUD.0000000000001451

Asif, M. R., Bording, T. S., Barfod, A. S., Grombacher, D. J., Maurya, P. K., Christiansen, A. V., Auken, E. & Larsen, J. J. (2021). Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling. IEEE Access, 9, 34635-34646. https://doi.org/10.1109/ACCESS.2021.3061761

Homayoun, S., Haraldsdóttir, M., Lynge, E. & Jensen, C. D. (2024). Effective Noise Reduction in NDR Systems: A Simple Yet Powerful Apriori-Based Approach. Sensors, 24(20), Artikel 6547. https://doi.org/10.3390/s24206547

Mikkelsen, K., Rezaei Tabar, Y., Christensen, C. B. & Kidmose, P. (2021). EEGs Vary Less Between Lab and Home Locations Than They Do Between People. Frontiers in Computational Neuroscience, 15, 2454–2461. Artikel 565244. https://doi.org/10.3389/fncom.2021.565244

Olsen, P. J., Tind Damgaard, A., Banluesombatkul, N. & Mikkelsen, K. B. (2025). EEG data alignment across devices using a neural network. I 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2025 - Proceedings IEEE. https://doi.org/10.1109/EMBC58623.2025.11254069

Thrysøe, S. A. (2021). Educating biomedical 3D printing engineers. Transactions on Additive Manufacturing Meets Medicine , 3(1), Artikel 512. https://doi.org/10.18416/AMMM.2021.2109512

Wan, S., Chen, C. & Iosifidis, A. (2022). Editorial to special issue on cross-media learning for visual question answering. Image and Vision Computing, 118, Artikel 104355. https://doi.org/10.1016/j.imavis.2021.104355

Gudjonsdottir, M. S., Audunsson, H., Donoso, A. M., Kristjansson, G., Saemundsdóttir, I., Foley, J. T., Kyas, M., Sripakagorn, A., Roslöf, J., Bennedsen, J., Edström, K., Kuptasthien, N. & Lyng, R. (2022). Editorial. Proceedings of the International CDIO Conference, iii-iv.

Bennedsen, J., Edström, K., Guðjónsdóttir, M. S., Sæmundsdóttir, I., Kuptasthien, N., Roslöf, J. & Sripakagorn, A. (2021). Editorial. Proceedings of the International CDIO Conference, 1-2.

Lyng, R., Bennedsen, J., Bettaieb, L., Bodsberg, N. R., Edström, K., Guðjónsdóttir, M. S., Roslöf, J., Solbjørg, O. K. & Øien, G. (2023). Editorial. I Proceedings of the 19th International CDIO Conference (s. iv-v). NTNU Norwegian University of Science and Technology.

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