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Department of Electrical and Computer Engineering

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.

Publication list

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Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810

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

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2023). Variational Neural Networks. Procedia Computer Science, 222, 104-113. https://doi.org/10.1016/j.procs.2023.08.148

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2024). Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Computing and Applications, 36(32), 20341-20354. https://doi.org/10.1007/s00521-024-10259-2

Oleksiienko, I. (2023). Uncertainty Estimation for 3D Object Detection and Tracking. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Øien, G. E. D. & Bennedsen, J. (2023). DEVELOPING A DIDACTIC FOUNDATION FOR THE TECH FACULTY AT AARHUS UNIVERSITY. In R. Lyng, J. Bennedsen, L. Bettaieb, N. R. Bodsberg, K. Edstrom, M. S. Guojonsdottir, J. Roslof, O. K. Solbjorg & G. Oien (Eds.), 19th CDIO International Conference: Proceedings - Full Papers (pp. 45-55). NTNU Norwegian University of Science and Technology. https://www.ntnu.edu/documents/1308247420/0/CDIO+2023+Proceedings.pdf/6989d202-864d-52e5-fee7-15d84a281f41?t=1697116952671

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

Oda, T., Dur, G., Ducasse, S. & Macedo, H. D. (2023). Implementation-First Approach of Developing Formal Semantics of a Simulation Language in VDM-SL.

Oberbauer, F., Winkel, T. J., Böhnert, T., Wanjura, C. C., Claro, M. S., Benetti, L., Çaha, I., Deepak, F. L., Moradi, F., Ferreira, R., Münzenberg, M. & Parvini, T. S. (2025). Magnetic tunnel junctions driven by hybrid optical-electrical signals as a flexible neuromorphic computing platform. Communications Physics, 8(1), Article 329. https://doi.org/10.1038/s42005-025-02257-0

Oakes, B. J., Gomes, C., Larsen, P. G., Denil, J., Deantoni, J., Cambeiro, J. & Fitzgerald, J. (2023). Examining Model Qualities and Their Impact on Digital Twins. In M. J. Blas & G. Alvarez (Eds.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 220-232). IEEE. https://ieeexplore.ieee.org/document/10155350

Oakes, B. J., Zhang, H., Hatledal, L. I., Feng, H., Frasheri, M., Sandberg, M., Gil Arboleda, S. & Gomes, C. (2024). Case Studies in Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12

Oakes, B., Gomes, C., Abbiati, G., Kamburjan, E., Bas, E. E. & Engelsgaard, S. (2024). Towards Ontological Service-Driven Engineering of Digital Twins. In Proceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (pp. 464-469). Association for Computing Machinery. https://doi.org/10.1145/3652620.3688261

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 - Nationalt 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), Article 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.

Nørremark, M., Hansen, M. J., Kai, P., Børsting, C. F., Ottosen, C.-O. & Konnerup, D., (2023). Notat vedrørende miljø- og klimateknologier 2023 – del 1, No. 2023-0505187, 21 p., Jun 02, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Hansen, M. J., Kai, P., Børsting, C. F., Ottosen, C.-O., Konnerup, D., Jensen, P. K. & Melander, B. (2023). Miljø- og Klimateknologi 2023. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug DCA rapport No. 221 https://dcapub.au.dk/djfpublikation/djfpdf/DCArapport221.pdf

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

Nørremark, M., Hansen, M. J., Kai, P., Børsting, C. F. & Konnerup, D., (2024). Notat vedrørende besvarelse af henvendelser under Miljø- og Klimateknologi 2023, No. 2023-0613092, 9 p., Feb 21, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Kristensen, E. F., Jensen, M., Ottosen, C.-O., Petridis, A., Mendanha dos Santos, T., Melander, B. & Jensen, P. K. (2024). Miljøpositivliste for producentorganisationers driftsfonde til støtteberettigede teknologier til frugt- og grøntsagssektoren 2024. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M. (2024). Muligheder for mere sikker håndtering af kvæg ved teknologisk innovation. DCA - Nationalt Center for Fødevarer og Jordbrug.

Nørremark, M., Hansen, M. J., Adamsen, A. P. S., Kai, P., Børsting, C. F., Brask, M. J., Ottosen, C.-O. & Jensen, M., (2024). Notat vedrørende miljø- og klimateknologier – screening af teknologier. Del 1, No. 2024-0766762, 54 p., Nov 22, 2024.

Nørremark, M., (2024). Muligheder for miljøeffektberegning af teknologier for pesticidreduktion i relation til økologisk jordbrug, No. 2024-0751020, 4 p., Nov 29, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M. & Grøn Sørensen, C. (2023). Report from the regional workshops: Deliverable 3.3 AgroFossilFree. Final Report on AFF regional workshops outcome.

Nørremark, M., Adamsen, A. P. S., Brask, M. J., Børsting, C. F., Hansen, M. J., Kai, P. & Ottosen, C.-O. (2025). Miljø- og Klimateknologi 2025. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Brask, M. J. & Kai, P., (2025). Supplerende spørgsmål til rapport om Miljø- og Klimateknologi 2025, No. 2025-0822982, 14 p., Apr 11, 2025. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Brask, M. J., Hansen, M. J. & Ottosen, C.-O., (2025). Besvarelse af kommentarer til teknologilisten for Miljø- og Klimateknologi 2025 – del A, No. 2025-0840278, 40 p., Jul 03, 2025. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Kristensen, E. F., Hansen, M. J., Adamsen, A. P. S., Kai, P., Brask, M. J., Nørgaard, J. V. & Ottosen, C.-O., (2026). Notat vedrørende Miljø- og Klimateknologier – screening af teknologier. Delleverance 1, No. 2025-0924761, 159 p., Feb 02, 2026. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nørremark, M., Adamsen, A. P. S., Hansen, M. J., Kai, P., Børsting, C. F., Brask, M. J., Ottosen, C.-O. & Kristensen, E. F. (2026). Miljø- og Klimateknologi 2026. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Nordtorp, F., Baş, E. E., Gomes, C. & Abbiati, G. (2024). A Hybrid Testing Framework for Wind Turbine Mechanical Components. Journal of Physics: Conference Series, 2767(5), Article 052046. https://doi.org/10.1088/1742-6596/2767/5/052046

Noor, M. A., Benhassen, L. L., Johansen, P. & Hasenkam, J. M. (2022). External aortic annuloplasty ring. Manuscript submitted for publication. (Patent No. PCT/EP2022/071334).

Noor, M. A., Benhassen, L. L., Kaspersen, A. E., Weiss, M. G., Hasenkam, J. M. & Johansen, P. (2023). Novel Expansible Aortic Annuloplasty Ring Exhibits Similar Characteristics as the Dacron Ring—an In Vitro Evaluation. Journal of Cardiovascular Translational Research, 16(5), 1144-1152. https://doi.org/10.1007/s12265-023-10393-7

Noor, M. A., Skov, S. N. & Johansen, P. (2020). Evaluating Strain Measurements on the Mitral Valve Leaflets using an Optical Image System. Structural heart : the journal of the Heart Team, 4, 72. https://doi.org/10.1080/24748706.2020.1715165

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

Ninh, Q. C., Pham, H. X., Nguyen, A. T. & Trinh, D. H. (2026). Lightweight 3D Object Detection via Mamba-Based Knowledge Distillation. IEEE Robotics and Automation Letters, 11(9), 10871-10878. https://doi.org/10.1109/LRA.2026.3719203

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), Article 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). Article 116890T 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. Article 9366908. https://doi.org/10.1109/JSTARS.2021.3062936

Nielsen, L., Burihabwa, D., Schiavoni, V., Felber, P. & Lucani Rötter, D. E. (2021). MinervaFS: A User-Space File System for Generalised Deduplication. In International Symposium on Reliable Distributed Systems (SRDS) IEEE. https://doi.org/10.1109/SRDS53918.2021.00033

Nielsen, L. & Lucani Rötter, D. E. (2021). Hekate a tool for gauging Data Deduplication Performance. In Proceedings - 2021 IEEE 6th International Conference on Smart Cloud, SmartCloud 2021 (pp. 67-72). IEEE. https://doi.org/10.1109/SmartCloud52277.2021.00019

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

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2022). Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. Scientific Reports, 12(1), Article 8395. https://doi.org/10.1038/s41598-022-12167-8

Nielsen, A. H. (2022). Data-Driven Weather Forecasting using Deep Learning. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Nielsen, L. (2022). Scalable Storage for Massive Volume Data Systems. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Nielsen, S. K., Munkholm, L. J., Lamandé, M., Nørremark, M., Edwards, G. T. C. & Green, O. (2021). 播种机精密播种深度控制系. Journal of Chinese Agricultural Mechanization, 42(11), 30-36. https://doi.org/10.13733/j.jcam.issn.20955553.2021.11.06

Nielsen, J. B., Pham, X. H., Kayacan, E. & Sarabakha, A. (2026). 3D Gaussian Splatting for Reconstructing Large Sparse Environments (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 40(48), 41134-41136. https://doi.org/10.1609/aaai.v40i48.42189

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