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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Seker, M., Männistö, A., Iosifidis, A. & Raitoharju, J. (2021). Automatic Main Character Recognition for Photographic Studies. In 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP) IEEE. https://doi.org/10.1109/MMSP53017.2021.9733624

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2021). Yggdrasil: Privacy-Aware Dual Deduplication in Multi Client Settings. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500816

Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. Aarhus Universitet.

Schultz, C. P. L. & Kamari, A. (2021). Diversity in Renovation Design: Theoretical Foundations of the Renovation Domain Model. Journal of Computing in Civil Engineering, 35(4). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000969

Schranz, T., Exenberger, J., Legaard, C. M., Drgona, J. & Schweiger, G. (2023). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. In Proceedings of Building Simulation 2021: 17th Conference of IBPSA (pp. 3268 - 3275). International Building Performance Association (IBPSA). https://doi.org/10.26868/25222708.2021.30806

Schranz, T., Legaard, C. M., Tola, D. & Schweiger, G. (2021). Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU. In Proceedings of 14th Modelica Conference 2021 (pp. 419-424) https://doi.org/10.3384/ecp21181419

Schaper, M-M. A., Smith, R. C., Tamashiro, M. A., Van Mechelen, M., Lunding, M. S., Bilstrup, K-E. K., Kaspersen, M. H., Jensen, K. L., Petersen, M. G. & Iversen, O. S. (2022). Computational Empowerment in Practice: Scaffolding teenagers’ learning about emerging technologies and their ethical and societal impact. International Journal of Child - Computer Interaction, 34, [100537]. https://doi.org/10.1016/j.ijcci.2022.100537

Scardera, G., Wang, S., Zhang, Y., Umair Khan, M., Zou, S., Zhang, D., Davidsen, R. S., Hansen, O., Mai, L., Payne, D. N. R., Hoex, B. & Abbott, M. D. (2021). On the enhanced phosphorus doping of nanotextured black silicon. IEEE Journal of Photovoltaics, 11(2). https://doi.org/10.1109/JPHOTOV.2020.3047420

Scardera, G., Payne, D. N. R., Umair Khan, M., Zhang, Y., Soeriyadi, A., Zou, S., Zhang, D., Davidsen, R. S., Hansen, O., Hoex, B. & Abbott, M. D. (2021). Silicon Nanotexture Surface Area Mapping Using Ultraviolet Reflectance. IEEE Journal of Photovoltaics, 11(5), 1291-1298. https://doi.org/10.1109/JPHOTOV.2021.3086439

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. https://doi.org/10.1109/TCSII.2021.3053160

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 2945-2953. https://doi.org/10.1109/TSMC.2021.3057957

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5

Saleem, S., Naqvi, S. S., Manzoor, T., Saeed, A., Rehman, N. U. & Mirza, J. (2019). A Strategy for Classification of textquotedblleftVaginal vs. Cesarean Sectiontextquotedblright Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings. Frontiers in Physiology, 10. https://doi.org/10.3389/fphys.2019.00246

Saleem, B., Badar, R., Manzoor, A., Judge, M. A., Boudjadar, J. & Islam, S. U. (2022). Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System. IEEE Access, 10, 36464-36476. https://doi.org/10.1109/ACCESS.2022.3164455

Sadiq, M. T., Yu, X., Yuan, Z., Aziz, M. Z., Rehman, N. U., Ding, W. & Xiao, G. (2022). Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1177-1189. https://doi.org/10.1109/tetci.2022.3147030

Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, [e00331]. https://doi.org/10.1016/j.ohx.2022.e00331

Ruf, F., Faurby, C. F. D., Paesani, S., Wang, Y., Nielsen, L., Midolo, L., Volet, N. & Heck, M. (2022). Design of Fast All-Optical Switches in Si₃N₄ Photonic Integrated Circuits for Single-Photon Routing. Poster session presented at Frontiers in Optics + Laser Science, Rochester, New York, United States. https://www.frontiersinoptics.com/home/eposters/poster/?id=3794843

Ruf, F., Nielsen, L., Volet, N. & Heck, M. (2022). Analysis and Design of Low-Loss and Fast All-Optical Switch Elements on Silicon Nitride for Integrated Quantum Photonics. Journal of Lightwave Technology, 40(23), 7598-7609. https://doi.org/10.1109/JLT.2022.3213445

Ruf, F., Faurby, C. F. D., Paesani, S., Wang, Y., Nielsen, L., Midolo, L., Volet, N. & Heck, M. (2022). Fast All-Optical Switches in Si₃N₄ Photonic Integrated Circuits for Single-Photon Routing. Poster session presented at National Optics Congress, Aarhus, Denmark.

Ruf, F., Hartwig, T., Zeon, J. W. & Ibik, A. (2022). Passing on the Light: Teaching Optics in Liberia. Poster session presented at National Optics Congress, Aarhus, Denmark.

Ruf, F., Nielsen, L., Balauroiu, M., Volet, N. & Heck, M. (2022). Low-loss all-optical ns-switching for single-photon routing in scalable integrated quantum photonics. In R. G. Baets, P. O'Brien & L. Vivien (Eds.), Integrated Photonics Platforms II [12148-6] SPIE - International Society for Optical Engineering. Proceedings of SPIE, the International Society for Optical Engineering Vol. 12148 https://doi.org/10.1117/12.2621540

Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Tavana, M. R., Vafamand, N. & Khooban, M. H. (2022). A robust intelligent controller-based motion control of a wheeled mobile robot. Transactions of the Institute of Measurement and Control, 44(15), 2911-2918. https://doi.org/10.1177/01423312221088389

Ronchini, M., Zamani, M., Huynh, H. A., Rezaeiyan, Y., Panuccio, G., Farkhani, H. & Moradi, F. (2022). A CMOS-based neuromorphic device for seizure detection from LFP signals. Journal of Physics D: Applied Physics, 55(1), [014001]. https://doi.org/10.1088/1361-6463/ac28bb

Ronchini, M. (2023). Low Power IC Implementation of Spiking Neural Networks for Implantable Neuromorphic Chips. Aarhus Universitet.

Ronchini, M., Rezaeiyan, Y., Zamani, M., Panuccio, G. & Moradi, F. (2022). NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials. ArXiv. https://doi.org/10.48550/arXiv.2210.10565

Ronchini, M., Rezaeiyan, Y., Zamani, M., Panuccio, G. & Moradi, F. (2023). NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials. Journal of Neural Engineering, 20(3), [036002]. https://doi.org/10.1088/1741-2552/acd029

Robinson, C., Bagnato, A., Pastrone, C., Weyer, T., Popov, P., Macedo, H. D., Sassanelli, C., Larsen, P. G., Luz, C. H., Henshaw, M., Buron, C., Akerkar, R. & Györffi, M. (2021). Bridging the stakeholder communities that produce cyber-physical systems. In M. D. E. al (Ed.), HiPEAC Vision 2021: High performance embedded architecture and compilation (pp. 20-29). HiPEAC. https://www.hipeac.net/vision/2021/

Robinson, C., Akerkar, R., Aouada, D., Bagnato, A., Györffi, M., Henshaw, M., Larsen, P. G., Hernandez, C., Macedo, H. D., Pastrone, C., Popov, P., Sassanelli, C., Völp, M. & Weyer, T. (2023). Bridging the stakeholder communities that produce cyber-physical systems. In M. Duranton, K. De Bosschere, B. Coppens, C. Gamrat, M. Gray, T. Hoberg, H. Munk, C. Robinson, T. Vardanega & O. Zendra. (Eds.), HiPEAC Vision 2023: High Peformance Embedded Architecture and Compilation (pp. 32-43) https://doi.org/10.5281/zenodo.7462013

Rezaeiyan, Y., Zamani, M., Shoaei, O. & Serdijn, W. A. (2018). Mixed-Signal IC With Pulse Width Modulation Wireless Telemetry for Implantable Cardiac Pacemakers in 0.18-μm CMOS. IEEE Transactions on Biomedical Circuits and Systems, 12(3), 589 - 600. https://doi.org/10.1109/TBCAS.2018.2819021

Rezaei, M. A., Nayeripour, M., Hu, J., S. Band, S., Mosavi, A. H. & Khooban, M. H. (2022). A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads. IEEE Access, 10, 14157-14183. https://doi.org/10.1109/ACCESS.2022.3146256

Rezaei, M. A., Fathollahidehkordi, A., Rezaei, S., Hu, J., Gheisarnejad Chirani, M., Teimouri, A. R., Sharma, R., Mosavi, A. H. & Khooban, M. H. (2022). Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles. IEEE Access, 10, 132271-132287. https://doi.org/10.1109/ACCESS.2022.3228916

Rehman, N. U., Abbas, S. Z., Asif, A., Javed, A., Naveed, K. & Mandic, D. P. (2017). Translation invariant multi-scale signal denoising based on goodness-of-fit tests. Signal Processing, 131, 220-234. https://doi.org/10.1016/j.sigpro.2016.08.019

Rehman, N. U., Naveed, K., Ehsan, S. & McDonald-Maier, K. (2016). Multi-scale image denoising based on goodness of fit (GOF) tests. In 2016 24th European Signal Processing Conference (EUSIPCO) IEEE. https://doi.org/10.1109/eusipco.2016.7760508

Rehman, N., Ehsan, S., Naveed, K., McDonald-Maier, K. D. & Safdar, M. W. (2015). Dynamically sampled multivariate empirical mode decomposition. Electronics Letters, 51(24), 2049-2051. https://doi.org/10.1049/el.2015.1176

Rehman, N. U., Xia, Y. & Mandic, D. P. (2010). Application of multivariate empirical mode decomposition for seizure detection in EEG signals. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology IEEE. https://doi.org/10.1109/iembs.2010.5626665

Rehman, N. U. & Mandic, D. P. (2014). Dynamically-Sampled Bivariate Empirical Mode Decomposition. IEEE Signal Processing Letters, 21(7), 857-861. https://doi.org/10.1109/lsp.2014.2317773

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

Rehman, N. U. & Mandic, D. P. (2011). Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing, 59(5), 2421-2426. https://doi.org/10.1109/tsp.2011.2106779

Rehman, N. U. & Mandic, D. P. (2010). Quadrivariate Empirical Mode Decomposition. In The 2010 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/ijcnn.2010.5596768

Rehman, N., Looney, D., Rutkowski, T. M. & Mandic, D. P. (2009). Bivariate EMD-based image fusion. In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing IEEE. https://doi.org/10.1109/ssp.2009.5278639

Rehman, N. U. & Mandic, D. P. (2009). Qualitative analysis of rotational modes within three dimensional empirical mode decomposition. In 2009 IEEE International Conference on Acoustics, Speech and Signal Processing IEEE. https://doi.org/10.1109/icassp.2009.4960367

Razmi, P., Fathollahidehkordi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Neuromorphic deep learning frequency regulation in stand-alone microgrids. Applied Soft Computing. https://www.sciencedirect.com/science/article/pii/S1568494623004362

Rausch, C., Talebi, S., Poshdar, M., Li, B. & Schultz, C. (2022). Tolerance management domain model for semantic enrichment of BIMs. Automation in Construction, 141, [104394]. https://doi.org/10.1016/j.autcon.2022.104394

Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2021). Photoplethysmography for demarcation of cutaneous squamous cell carcinoma. Scientific Reports, 11, [21467]. https://doi.org/10.1038/s41598-021-00645-4

Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2022). Author Correction: Photoplethysmography for demarcation of cutaneous squamous cell carcinoma (Scientific Reports, (2021), 11, 1, (21467), 10.1038/s41598-021-00645-4). Scientific Reports, 12(1), [3521]. https://doi.org/10.1038/s41598-022-06856-7

Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping Science Go To Work. Paper presented at Organic World Congress 2021, Rennes, France. https://orgprints.org/id/eprint/42172/1/OWC2020-SCI-239.pdf

Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping science go to work. Poster session presented at Organic World Congress 2021, Rennes, France. https://orgprints.org/id/eprint/42339/2/OWC2020-SCI-239_ORGANIC%20EPRINTS%20-%20HELPING%20SCIENCE%20GO%20TO%20WORK_poster_RasmussenIA.pdf

Rasmussen, I. A., Moeskops, B., Micheloni, C., Gócs, K., Jensen, A. L., Jørgensen, M. S., Kristensen, H., Willer, H. & Padel, S. (2018). Organic Knowledge Network Arable: D.4.3 Final report on evaluation of end-user material. https://orgprints.org/id/eprint/37847/2/OK_Net_WP4_D.4.3_final.pdf

Rasmussen, I. A. & Jensen, A. L. (2018). Organic Knowledge Network Arable OK-Net Arable: Online knowledge platform. Paper presented at Horizon 2020 Aarhus, Aarhus, Denmark. https://orgprints.org/id/eprint/32268/1/OK_Net_WP4_D4.1_Knowledge%20Platform_20161013.pdf

Rasmussen, I. A. & Jensen, A. L. (2013, Aug). User guide. www.orgprints. https://orgprints.org/id/eprint/29427/1/2013_Screenshot_manual_Organic_Eprints.pdf

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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

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Get a copy of the AU Engineering Profile 2022

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Revised 06.09.2022

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