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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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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

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

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

Nielsen, M. & Larsen, P. G. (2022). Techtopia 250: Hvad er en digital tvilling?. Pictures, Video and sound recordings (digital) https://ida.dk/viden-og-netvaerk/idas-podcast/techtopia/techtopia-episoder-2022/techtopia-250-hvad-er-en-digital-tvilling

Nhut, T. D., Bonen, S., Cooke, G., Jager, T., Spasaro, M., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact mm-Wave Broadband SPST Switch in 22nm FDSOI CMOS for Monolithic Quantum Processors. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 168-171). IEEE. https://doi.org/10.1109/IMS37962.2022.9865577

Nguyen, A. Q., Nguyen, H. T., Tran, V. C., Pham, H. X. & Pestana, J. (2021). A Visual Real-time Fire Detection using Single Shot MultiBox Detector for UAV-based Fire Surveillance. In S. Bahk, P. Tran-Gia, J. Van der Spiegel & N. X. Quynh (Eds.), 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) (pp. 338-343). IEEE. https://doi.org/10.1109/ICCE48956.2021.9352080

Nguyen, N. D. T. (2024). Detecting attended auditory events using ear-EEG: new approaches and methods for auditory attention decoding. [PhD dissertation, Aarhus University].

Nguyen, N. D. T., Mikkelsen, K. & Kidmose, P. (2025). Cognitive component of auditory attention to natural speech events. Frontiers in Human Neuroscience, 18, Article 1460139. http://10.3389/fnhum.2024.1460139

Nguyen, N. D. T., Phan, H., Geirnaert, S., Mikkelsen, K. & Kidmose, P. (2025). AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 2695-2706. https://doi.org/10.1109/TNSRE.2025.3587637

Németh, J. A., Far Brusatori, M. & Volet, N. (2022). Optimizing the self-homodyne coherent receiver method for frequency-noise measurements. In L. E. Busse, Y. Soskind & P. C. Mock (Eds.), Photonic Instrumentation Engineering IX Article 120080J SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2609508

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), 351-355. Article 9226485. https://doi.org/10.1109/LCOMM.2020.3031011

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Multiscale Dynamic Graph Signal Analysis. Social Science Research Network (SSRN). https://doi.org/10.2139/ssrn.4713829

Nazari, M., Korshøj, A. R. & ur Rehman, N. (2024). Multiscale dynamic graph signal analysis. Signal Processing, 222, Article 109519. https://doi.org/10.1016/j.sigpro.2024.109519

Nazari, M., Korshøj, A. R. & Rehman, N. U. (2024). Jump Plus AM-FM Mode Decomposition. Cornell University. https://doi.org/10.48550/arXiv.2407.07800

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2024). Graph-Aided Multivariate Signal Decomposition. In International Conference on Frontiers of Signal Processing (ICFSP) (pp. 169-173) https://doi.org/10.1109/ICFSP62546.2024.10785500

Nazari, M., Korshj, A. R. & Rehman, N. U. (2025). Jump Plus AM-FM Mode Decomposition. IEEE Transactions on Signal Processing, 73, 1081-1093. https://doi.org/10.1109/TSP.2025.3535822

Nazari, M., Korshoej, A. R. & Rehman, N. U. (2025). Successive Jump and Mode Decomposition. (pp. 2622-2626). https://doi.org/10.23919/EUSIPCO63237.2025.11226714

Nawoya, S., Ssemakula, F., Akol, R., Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A. & Gebreyesus, G. (2024). Computer vision and deep learning in insects for food and feed production: A review. Computers and Electronics in Agriculture, 216, Article 108503. https://doi.org/10.1016/j.compag.2023.108503

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2024). Computer-vision based prediction of body traits and larval sex in black soldier fly. Abstract from Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2025). Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning. Smart Agricultural Technology, 11, Article 100953. https://doi.org/10.1016/j.atech.2025.100953

Naveed, K., Mukhtar, S. & Ur Rehman, N. (2021). Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis. In 2021 IEEE Statistical Signal Processing Workshop, SSP 2021 (pp. 441-445). IEEE. https://doi.org/10.1109/SSP49050.2021.9513823

Naveed, K. & Rehman, N. U. (2021). A Novel Multivariate Goodness-of-Fit Test based on Mahalanobis Distance and Its Application in Denoising. In 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings (pp. 2050-2054). IEEE. https://doi.org/10.23919/eusipco54536.2021.9616193

Naveed, K., Meldgaard Madsen, L., Grombacher, D. & Larsen, J. J. (2023). Variational Mode Decomposition-Based Processing of Time-Domain Induced Polarization Data. Abstract from NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , United Kingdom. https://doi.org/10.3997/2214-4609.202320133

Naveed, K., Madsen, L. M., Grombacher, D. & Larsen, J. J. (2024). Processing Time-domain Induced Polarization Data Using Variational Mode Decomposition. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13. Article 5905713. https://doi.org/10.1109/TGRS.2024.3362290

Naveed, K. & Rehman, N. U. (2025). Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising. Measurement: Journal of the International Measurement Confederation, 242(Part E), Article 116142. https://doi.org/10.1016/j.measurement.2024.116142

Naveed, K. & Larsen, J. J. (2024). Variational Mode Decomposition Based Processing of Surface NMR Data. In NSG2024, 30th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420100

Naveed, K. & Ur Rehman, N. (2024). Variational Mode Decomposition Denoising Using Anderson-Darling Statistics. In 2024 9th International Conference on Frontiers of Signal Processing, ICFSP 2024 (pp. 189-193). IEEE. https://doi.org/10.1109/ICFSP62546.2024.10785266

Naveed, K. & Rehman, N. U. (2025). A Fully Multivariate Multifractal Detrended Fluctuation Analysis Method for Fault Diagnosis.

Navarro-Guerrero, N., Nguyen, S. M., Oztop, E. & Zhong, J. (2021). Guest Editorial Special Issue on Continual Unsupervised Sensorimotor Learning. IEEE Transactions on Cognitive and Developmental Systems, 13(2), 234-238. https://doi.org/10.1109/TCDS.2021.3082880

Naseri, F., Karimi, S., Farjah, E. & Schaltz, E. (2022). Supercapacitor management system: A comprehensive review of modeling, estimation, balancing, and protection techniques. Renewable & Sustainable Energy Reviews, 155, Article 111913. https://doi.org/10.1016/j.rser.2021.111913

Naseri, F., Barbu, C. & Sarikurt, T. (2022). Optimal sizing of hybrid high-energy/high-power battery energy storage systems to improve battery cycle life and charging power in electric vehicle applications. Journal of Energy Storage, 55(Part D), Article 105768. https://doi.org/10.1016/j.est.2022.105768

Naseri, F., Karimi, S., Farjah, E. & Setoodeh, P. (2023). Design of a Recommender System with Safe Driving Mode Based on State-of-Function Estimation in Electric Vehicle Drivetrains with Battery/Supercapacitor Hybrid Energy Storage System. Designs, 7(1), Article 25. https://doi.org/10.3390/designs7010025

Naseri, F., Gil Arboleda, S., Barbu, C., Cetkin, E., Yarimca, G., Jensen, A. C., Larsen, P. G. & Gomes, C. (2023). Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms. Renewable and Sustainable Energy Reviews, 179, Article 113280. https://doi.org/10.1016/j.rser.2023.113280

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