Department of Electrical and Computer Engineering

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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.

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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
Tabar, Y. R., Mikkelsen, K. B., Shenton, N., Kappel, S. L., Nikbakht, R., Toft, H. O., Henriksen, C. H., Hemmsen, M. C., Rank, M. L., Otto, M. & Kidmose, P. (2023). At-home sleep monitoring using generic ear-EEG. Frontiers in Neuroscience, 17, Article 987578. https://doi.org/10.3389/fnins.2023.987578
Swain, K. C., Zaman, Q. U., Schumann, A. W., Percival, D. C. & Bochtis, D. (2010). Computer vision system for wild blueberry fruit yield mapping. Biosystems Engineering, 106(4), 389-394. https://doi.org/10.1016/j.biosystemseng.2010.05.001
Svenning, A., Mougeot, G., Alison, J., Chevalier, D., Molina, N. C., Ong, S. Q., Bjerge, K., Carrillo, J., Høye, T. T. & Geissmann, Q. (2026). A general method for detection and segmentation of terrestrial arthropods in images. Methods in Ecology and Evolution, 17(3), 727-739. https://doi.org/10.1111/2041-210x.70249
Surrow, J. H., Thomsen, S. T., Kumar, R. R., Far Brusatori, M., Paula Montes, M., Palsole, A. S., Hoede, C., Klein, H. N. & Volet, N. (2025). Ultra-narrow linewidth laser across the C-band using polarization-controlled dual-cavity feedback. Optics Express, 33(5), 11863-11875. https://doi.org/10.1364/OE.544372
Surrow, J. H., Thomsen, S. T., Kumar, R. R., Far Brusatori, M., Montes, M. P., Hoede, C., Klein, H. N. & Volet, N. (2025). Widely tunable SG-DBR laser with ultra-narrow linewidth achieved via polarization-controlled feedback. In P. Cheben, J. Ctyroky & I. Molina-Fernandez (Eds.), Integrated Optics: Design, Devices, Systems, and Applications VIII Article 135300E SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.3055201
Sun, G., Karras, P. & Zhang, Q. (2025). Highly Efficient Direct Analytics on Semantic-Aware Time Series Data Compression. In M. Valenti, D. Reed & M. Torres (Eds.), ICC 2025 - IEEE International Conference on Communications (pp. 5945-5950). IEEE. https://doi.org/10.1109/ICC52391.2025.11162086
Suetta, C., Merhi, Y., Agarwala, S., Mikkelsen, P. H. & Nygaard, J. V. (2023). Dry electrode integrated with garment. (Patent No. WO2023209148 (A1)). https://dk.espacenet.com/publicationDetails/biblio?DB=EPODOC&II=0&ND=3&adjacent=true&locale=dk_DK&FT=D&date=20231102&CC=WO&NR=2023209148A1&KC=A1#
Strøm, J., Engholm, A. L., Lorenzen, K. P. & Mikkelsen, K. B. (2024). Common sleep data pipeline for combined data sets. PLoS One, 19(8), Article e0307202. https://doi.org/10.1371/journal.pone.0307202
Strøm, J., Skjærbæk, C., Bertelsen, N. B., Simonsen, S. T., Okkels, N., Bertram, D., Röttgen, S., Kufer, K., Mikkelsen, K. B., Otto, M., Jennum, P. J., Borghammer, P., Sommerauer, M. & Kidmose, P. (2026). Fully-automated sleep staging for Parkinson’s disease and isolated REM sleep behavior disorder. npj Digital Medicine, 9(1), Article 629. https://doi.org/10.1038/s41746-026-02946-2
Strandberg, P. E., Frasheri, M. & Enoiu, E. P. (2021). Ethical AI-Powered Regression Test Selection. In 2021 IEEE International Conference on Artificial Intelligence Testing (AITest) (pp. 83-84). IEEE. https://doi.org/10.1109/AITEST52744.2021.00025
Staugaard, J., Bennedsen, J., Seidl, C., Nicolajsen, S., Fink, M. & Brabrand, C. (2024). Visualizing the Conceptual Framework of Object Orientation for Novice Programmers. In 2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings IEEE. https://doi.org/10.1109/FIE61694.2024.10893141
Stanton, E. J., Tønning, P., Ulsig, E. Z., Calmar, S., Stanton, M. A., Thomsen, S. T., Gravesen, K. B., Johansen, P. & Volet, N. (2024). Continuous-wave second-harmonic generation in the far-UVC pumped by a blue laser diode. Scientific Reports, 14(1), Article 3238. https://doi.org/10.1038/s41598-024-53144-7
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, Article 111126. https://doi.org/10.1016/j.compag.2025.111126
Spasaro, M. & Zito, D. (2022). Sub-mW 30GHz Variable-Gain LNA in 22nm FDSOI CMOS for Low-Power Tapered mm-Wave 5G/6G Phased-Array Receivers. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 723-726). IEEE. https://doi.org/10.1109/IMS37962.2022.9865340
Spasaro, M., Bonen, S., Cooke, G., Jager, T., Nhut, T. D., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact Low-Power 60GHz Amplifier for Spin Qubit Control in Monolithic Silicon Quantum Processors. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 164-167). IEEE. https://doi.org/10.1109/IMS37962.2022.9865561
Spasaro, M. & Zito, D. (2023). 0.52-mW 30-GHz LNA in 22-nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3752-3756. https://doi.org/10.1109/TCSII.2023.3288354
Spasaro, M. (2021). Low-Power Radio-Frequency Low Noise Amplifiers for Future Wireless Transceivers. [PhD dissertation, Aarhus University]. Aarhus Universitet.
Sørensen, R. A., Rosenberg, J. & Karstoft, H. (2021). Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. In Proceedings - 2021 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2021 (pp. 13-19). IEEE. https://doi.org/10.1109/ISCSIC54682.2021.00014
Sørensen, S. R., Ulsig, E. Z., Philip, F. E., Sørensen, F. R. B., Madsen, M. L., Gardner, A. B., Tønning, P., Thomsen, S. T., Gravesen, K. B., Stanton, E. J. & Volet, N. (2024). Open-source toolbox for photographic characterization of optical propagation. Optics Letters, 49(15), 4098-4101. https://doi.org/10.1364/OL.529487
Sørensen, R. A. (2021). Routing in Simulated Baggage Handling Systems using Centralized Deep Reinforcement Learning. [PhD dissertation, Aarhus University]. Aarhus Universitet.
Soni, S., Rezaeiyan, Y., Boehnert, T., Ferreira, R., Kaushik, B. K., Moradi, F. & Shreya, S. (2025). A Neuromorphic Computational Model for Spintronics-based Hopfield Oscillatory Neural Network. IEEE Transactions on Magnetics, 61(9), Article 7001105. https://doi.org/10.1109/TMAG.2025.3539977
Soni, S., Rezaeiyan, Y., Boehnert, T., Farkhani, H., Ferreira, R., Kaushik, B. K., Moradi, F. & Shreya, S. (2025). SpinONN: energy efficient brain-inspired spintronics-based Hopfield oscillatory neural network for image denoising. Neuromorphic Computing and Engineering, 5(3), Article 034001. https://doi.org/10.1088/2634-4386/ade622
Song, R., Terzija, V., Hamacher, T. & Perić, V. S. (2025). Integrating Air-Source Heat Pumps into the Demand-Side Fast Frequency Response Service: A Study Based on Thermal Dynamic Uncertainty. IEEE Transactions on Sustainable Energy, 16(1), 323-335. https://doi.org/10.1109/TSTE.2024.3456068
Sommer, S. G., Bruun, S. & Grøn Sørensen, C. (2025). Sustainability, Circularity, LCA, and Governance. In S. G. Sommer, M. L. Christensen, B. Norddahl, M. Ambye-Jensen & M. C. Roda-Serrat (Eds.), Bioprocesses: A Comprehensive Guide to Sustainable Resources in the Non-Fossil Era (pp. 82-115). Cambridge University Press. https://doi.org/10.1017/9781108950831.004
Soltanian, M., Malik, J., Raitoharju, J., Iosifidis, A., Kiranyaz, S. & Gabbouj, M. (2021). Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534232
Sohrabzadi, E., Gheisarnejad Chirani, M., Esfahani, Z. & Khooban, M. H. (2022). A novel intelligent ultra-local model control-based type-II fuzzy for frequency regulation of multi-microgrids. Transactions of the Institute of Measurement and Control, 44(5), 1134-1148. https://doi.org/10.1177/01423312211043060
Sohrab, F., Iosifidis, A., Gabbouj, M. & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, Article 108999. https://doi.org/10.1016/j.patcog.2022.108999
Sohier, H., Schultz, C. P. L., Zayed, Y. N. H., Kamari, A., Jonveaux, L., Zavitsas, K., Pantelide, G., Trinanes, J., Alejandre, A., Mberi, J. & Maxim, C. (2026). Accelerating the Transition to Green Building Neighbourhoods: A New Decision Support Platform. ABC2: Journal of Architecture, Building, Construction, and Cities, 2026(2), 11-22. https://abc2.net/index.php/journal/article/view/23
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
Skovsen, S. K., Haraldsson, H., Davis, A., Karstoft, H. & Belongie, S. (2020). Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition. In 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 167-171). Article 9288396 IEEE. https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00053
Skovsen, S. K., Laursen, M. S., Kristensen, R. K., Rasmussen, J., Dyrmann, M., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2021). Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors, 21( 1), Article 175. https://doi.org/10.3390/s21010175
Skovsen, S. K., Kutugata, M., Jennewein, J., Reberg-Horton, C. S. & Mirsky, S. B. (2023). Detailed Species Competition Mapping of Mixed Cover Crop Species Using Tractor Mounted Color Camera and Computer Vision. Abstract from 2023 ASA/CSSA/SSSA International Annual Meeting, St. Louis, Missouri, United States.
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
Sitarz, M. K. & Boudjadar, J. (2024). Smart Occupancy-driven Control for Ventilation Systems in Buildings with Privacy Concerns. In K. Arai (Ed.), Intelligent Systems and Applications: Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 4 (pp. 773-791) https://doi.org/10.1007/978-3-031-47718-8_50
Shreya, S., Rezaeiyan, Y., Jenkins, A., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2022). Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices, 69(8), 4651-4658. https://doi.org/10.1109/TED.2022.3179994
Shreya, S., Zamani, M., Rezaeiyan, Y., Ghanatian Najafabadi, H., Böhnert, T., Jenkins, A., Ferreira, R., Farkhani, H. & Moradi, F. (2022). Memory and Communication-in-Logic Using Vortex and Precessional Oscillations in a Magnetic Tunnel Junction. IEEE Magnetics Letters, 13, Article 4505605. https://doi.org/10.1109/LMAG.2022.3224676
Shreya, S., Jenkins, A., Bohnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Frequency Sensing and Detection using Granular Vortex MTJ Nano Oscillator. Poster session presented at IEEE INTERMAG Conference, Japan. https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228828
Shreya, S., Jenkins, A., Rezaeiyan, Y., Li, R., Bohnert, T., Benetti, L., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Granular vortex spin-torque nano oscillator for reservoir computing. Scientific Reports, 13(1), Article 16722. https://doi.org/10.1038/s41598-023-43923-z
Shreya, S., Rezaeiyan, Y., Sadeghi, M., Kaushik, B. K. & Moradi, F. (2023). Low-Power Pattern Recognition System Using Spintronics Compute-in-memory Architecture. In 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (pp. 730-734). IEEE. https://doi.org/10.1109/NMDC57951.2023.10344005
Shiri, Y., Lei, J., Amarasinghe, Y., Chen, H. T., Chang, C. C., Lilly, M. P., Addamane, S. & Mittleman, D. M. (2026). Steerable terahertz beams using surface waves on an active metasurface. Scientific Reports, 16(1), Article 3446. https://doi.org/10.1038/s41598-025-33364-1
Shi, L., Marcano, N. J. H. & Jacobsen, R. H. (2021). A Review on Communication Protocols for Autonomous Unmanned Aerial Vehicles for Inspection Application. Microprocessors and Microsystems, 86, Article 104340. https://doi.org/10.1016/j.micpro.2021.104340
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). Article 9476784 IEEE. https://doi.org/10.1109/ICUAS51884.2021.9476784
Shi, L., Hernandez Marcano, N. J. & Jacobsen, R. H. (2022). Multi-UAV Path Coordination through Generalized Potential Games. In 2022 8th International Conference on Automation, Robotics and Applications, ICARA 2022 (pp. 125-129). IEEE. https://doi.org/10.1109/ICARA55094.2022.9738578
Shi, L. & Jacobsen, R. H. (2022). A method for controlling a plurality of uavs. (Patent No. WO2022029158A1). https://patents.google.com/patent/WO2022029158A1
Shi, L., Pantic, M., Andersson, O., Tognon, M., Siegwart, R. & Jacobsen, R. H. (2022). Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 (pp. 3384-3391). IEEE. https://doi.org/10.1109/IROS47612.2022.9981658
Shi, L. (2022). Motion Planning for Autonomous Aerial Robots. [PhD dissertation, Aarhus University]. Aarhus Universitet.
Shi, L., Skov, E. H., Christensen, A. L. & Jacobsen, R. H. (2026). Residual Learning for Riemannian Motion Policies in Multi-Drone Obstacle Avoidance and Communication-Aware Navigation. Applied Sciences, 16(13), Article 6533. https://doi.org/10.3390/app16136533
Shen, K., Zhao, Z., Chen, Y., Zhang, Z. & Cheng, H. V. (2024). Accelerating Quadratic Transform and WMMSE. IEEE Journal on Selected Areas in Communications, 42(11), 3110-3124. https://doi.org/10.1109/JSAC.2024.3431523
Shekar, S., Satpute, N. & Gupta, A. (2021). Review on diabetic retinopathy with deep learning methods. Journal of Medical Imaging, 8(6), Article 060901. https://doi.org/10.1117/1.JMI.8.6.060901

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