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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.

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Rezaeiyan, Y., Zamani, M., Shreya, S., Farkhani, H. & Moradi, F. (2023). Spin-Torque Based Radio-Frequency Signal Classification Front-End. In 2023 IEEE International Symposium on Circuits and Systems (ISCAS) IEEE. https://doi.org/10.1109/ISCAS46773.2023.10181428

Rezaeiyan, Y., Lykkeberg Madsen, N., Bohnert, T., Zamani, M., Shreya, S., Paz, E., Farkhani, H., Ferreira, R. & Moradi, F. (2023). A low-noise high-linear wide dynamic-range MTJ-based magnetic field sensor. In 2023 IEEE Nordic Circuits and Systems Conference (NorCAS) IEEE. https://doi.org/10.1109/NorCAS58970.2023.10305454

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

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

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, 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. In Intelligent Health Systems – From Technology to Data and Knowledge (pp. 1225-1229). IOS Press. https://doi.org/10.3233/SHTI250585

Rehman, A., Rezaeiyan, Y., Zamani, M. & Moradi, F. (2026). An Ultra-Low Power Relaxation Oscillator for IoT Power Management Applications. 708-712. https://doi.org/10.1109/ISCAS66217.2026.11562024

Reese, F. S., Amariei, G., Henriksen, M. L., Klarskov, P. & Hinge, M. (2025). Quantitative identification of melamine flame retardant in polyolefins with hyperspectral imaging and machine learning. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 333, Article 125870. https://doi.org/10.1016/j.saa.2025.125870

ReddyPriya, M., Enduri, M. K., Hajarathaiah, K., Satish, A. & Bandaru, N. (2026). Integrating machine learning techniques for critical node identification in complex networks. Scientific Reports, 16(1), Article 8929. https://doi.org/10.1038/s41598-026-40778-y

Reddy, C. V., Vijayalakshmi, M., Bandaru, N., Cheolho, B. & Shim, J. (2025). Engineering charge transfer pathways in photocatalysis: A Comprehensive review of Z-, S-, R-, and C-scheme mechanisms. Journal of Alloys and Compounds, 1043, Article 184244. https://doi.org/10.1016/j.jallcom.2025.184244

Razmi, P., Rahimi, T., Gheisarnejad Chirani, M. & Khooban, M. H. (2025). Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system. IET Renewable Power Generation, 19(1), Article e12569. https://doi.org/10.1049/rpg2.12569

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

Rasooli Berardehi, Z., Zhang , C., Taheri, M., Roohi, M. & Khooban, M. H. (2023). Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost. Transactions of the Institute of Measurement and Control, 45(13), 2536-2553. https://doi.org/10.1177/01423312231155273

Rasool, S., Saleem, A., Ikram Ul Haq, M. & Jacobsen, R. H. (2024). Towards Zero Trust Security for Prosumer-Driven Verifiable Green Energy Certificates. In 2024 7th International Conference on Energy Conservation and Efficiency (ICECE) (pp. 1-6). IEEE. https://doi.org/10.1109/ICECE61222.2024.10505279

Rasool, S. & Jacobsen, R. H. (2024). REC to ReCert: Introducing Re-Certification to Empower Prosumer-driven Certificate Aggregators. In 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2024 (pp. 77-83). IEEE. https://doi.org/10.1109/SmartGridComm60555.2024.10738030

Rasool, S. & Jacobsen, R. H. (2025). Perspective Chapter: Leveraging Self-Sovereign Identity to Introduce ReCert: A Foundational Framework for Decentralized BCTE Solutions. In Blockchain - Pioneering the Web3 Infrastructure for an Intelligent Future InTechOpen. https://doi.org/10.5772/intechopen.1007156

Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2021). Photoplethysmography for demarcation of cutaneous squamous cell carcinoma. Scientific Reports, 11, Article 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), Article 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

Rasmussen, S. M., Nielsen, T., Hager, H. & Schousboe, L. P. (2022). Spatial analysis of photoplethysmography in cutaneous squamous cell carcinoma. Scientific Reports, 12(1), Article 7318. https://doi.org/10.1038/s41598-022-10924-3

Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). Visual Studio Code VDM Support. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 35-50) https://arxiv.org/pdf/2101.07261.pdf

Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). The Specification Language Server Protocol: A Proposal for Standardised LSP Extensions. In J. Proença & A. Paskevich (Eds.), Proceedings of the 6th Workshop on Formal Integrated Development Environment (Vol. 338, pp. 3-18). Open Publishing Association. https://doi.org/10.4204/EPTCS.338.3

Rask, J. K., Madsen, F. P., Battle, N., Freitas, L., Macedo, H. D. & Larsen, P. G. (2022). Advanced VDM Support in Visual Studio Code. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 34-49) https://doi.org/10.48550/arXiv.2208.10233

Rask, C. D. & Lucani Rötter, D. E. (2024). RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. In 2024 IEEE International Conference on Image Processing, ICIP 2024: Proceedings (pp. 1987-1993). IEEE. https://doi.org/10.1109/ICIP51287.2024.10647293

Rashidi, A., Yazdani, N. & Sodagar, A. M. (2021). Fully implantable, multi-channel microstimulator with tracking supply ribbon, multi-output charge pump and energy recovery. IET Circuits, Devices & Systems, 15(2), 104-120. https://doi.org/10.1049/cds2.12007

Rashidi, A., Zamani, M., Mondal, T., Hosseini, S., Laursen, K., Corbett, B. & Moradi, F. (2023). Ultrasonically Powered and Controlled Microsystem for Dual-Wavelength Optogenetics With a Multiload Regulation Scheme. IEEE Solid-State Circuits Letters, 6, 33-36. https://doi.org/10.1109/LSSC.2023.3239601

Ramakrishna, S., Li, F., Kijeńska-Gawrońska, E. & Agarwala, S. (2023). Where is science heading? The main challenges before today’s scientists? Drying Technology, 41(6), 812-816. https://doi.org/10.1080/07373937.2023.2205799

Raj, R. K., Saini, S., Verma, R. S., Kaushik, B. K. & Shreya, S. (2025). Dzyaloshinskii–Moriya interaction gradient driven skyrmion based energy efficient leaky integrate fire neuron. Journal of Magnetism and Magnetic Materials, 614, Article 172694. https://doi.org/10.1016/j.jmmm.2024.172694

Raj, R. K., Kumar, A., Rezaeiyan, Y., Klarskov, P., Moradi, F. & Shreya, S. (2025). Analytical Approach to Engineer Strain-Gradient for Magnetic Skyrmion-based LeakyIntegrate and Fire Neuronal Dynamics. In IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2025 - Conference Proceedings IEEE Computer Society Press. https://doi.org/10.1109/ISVLSI65124.2025.11130237

Raj, R. K., Verma, R. S., Jony, S. H., Saini, S. & Shreya, S. (2026). Physics-informed analytical modeling of dzyaloshinskii-moriya interaction gradient-driven magnetic skyrmion. Journal of Magnetism and Magnetic Materials, 648, Article 174022. https://doi.org/10.1016/j.jmmm.2026.174022

Raj, R. K., Jony, S. H., Sengupta, P. & Shreya, S. (2026). Reconfigurable Bio-Plausible Spiking Neurons Based on Antiferromagnetic Skyrmions Utilizing Anisotropy Gradient. IEEE Magnetics Letters, 17, Article 4500205. https://doi.org/10.1109/LMAG.2026.3685158

Rahimi, M., Momenzadeh, M., Akhbari, A. & Khooban, M. H. (2023). Performance enhancement of parallel-operated inverter-based virtual synchronous generators supplying active load. IET Electric Power Applications, 17(6), 835-854. https://doi.org/10.1049/elp2.12307

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9, 43981-43990. Article 9380640. https://doi.org/10.1109/ACCESS.2021.3066300

Rafiei Foroushani, M., Raitoharju, J. & Iosifidis, A. (2023). Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access, 11, 2445 - 2477. https://doi.org/10.1109/ACCESS.2023.3234187

Rafiei Foroushani, M. & Iosifidis, A. (2023). Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. In 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191068

Rafiei Foroushani, M., Tran, D. T. & Iosifidis, A. (2023). Recognition of Defective Mineral Wool Using Pruned ResNet Models. In H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (Eds.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10217993

Rafiei Foroushani, M. & Nørremark, M. (2025). Investigation of available ground-truth data in Denmark that can be used for remote identification and localization of populations of selected plant species. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Rafiei Foroushani, M., Asif, M. R., Nørremark, M. & Grøn Sørensen, C. (2025). Temporal and Spatial Analysis of Critical Field Points Using High-Resolution Soil Water Content Estimation Employing Remote Sensing and Deep-Learning. Abstract from EGU General Assembly 2025, Vienna, Austria. https://doi.org/10.5194/egusphere-egu25-18129

Rafiei, M., Asif, MR., Nørremark, M. & Sørensen, CAG. (2024). High-Resolution Near-Surface Soil Water Content Estimation, Using Remote Sensing Data and Deep Computer Vision Methods. In NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420111

Rafiei, M., Asif, M. R., Nørremark, M. & Sørensen, C. A. G. (2026). Towards high-spatial-resolution, multi-depth soil water content estimation via SAR data and multimodal deep learning. Precision Agriculture, 27(2), Article 33. https://doi.org/10.1007/s11119-026-10322-z

Radmanesh, H., Maalandish, M., Pourjafar, S. & Khooban, M. H. (2023). High step-up MIMO DC–DC power converter control-based pole placement. International Journal of Circuit Theory and Applications, 51(3), 1313-1331. https://doi.org/10.1002/cta.3469

Qiao, Z., Pham, X. H., Ramasamy, S., Jiang, X., Kayacan, E. & Sarabakha, A. (2024). Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. In 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings IEEE. https://doi.org/10.1109/ijcnn60899.2024.10649903

Pullens, J. W. M., Sørensen, C. A. G. & Olesen, J. E. (2021). Temperature-based prediction of harvest date in winter and spring cereals as a basis for assessing viability for growing cover crops. Field Crops Research, 264, Article 108085. https://doi.org/10.1016/j.fcr.2021.108085

Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C. & Kappel, S. L. (2021). Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (pp. 420-423). IEEE. https://doi.org/10.1109/EMBC46164.2021.9630958

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