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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Gislum, R., Holst, N., Mortensen, A. K., Larsen, R., Andersen, M. N., Thomsen, I. K. & Hansen, E. M., (2022). Omregningsfaktor fra NDVI og NDRE til kg N optag/ha, No. 2022-0389751, 9 p., Sept 19, 2022. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Gislum, R., Larsen, R., Thomsen, I. K., Greve, M. B., Hansen, E. M. & Nyholm Jørgensen, R., (2023). Betingelse for indsamling af data til brug for omregningsfaktor mellem NDV/NDRE og planteoptag af kvælstof, No. 2023-0543874, 8 p., Aug 23, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Gil Arboleda, S., Zapata-Madrigal, G. D., García-Sierra, R. & Cruz Salazar, L. A. (2022). Converging IoT protocols for the data integration of automation systems in the electrical industry. Journal of Electrical Systems and Information Technology, 9(1), 1-21. Article 1. https://doi.org/10.1186/s43067-022-00043-4

Gil Arboleda, S., Mikkelsen, P. H., Gomes, C. & Larsen, P. G. (2024). Survey on open-source digital twin frameworks–A case study approach. Software: Practice and Experience, 54(6), 929-960. https://doi.org/10.1002/spe.3305

Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Schou, C. & Larsen, P. G. (2023). A Modeling Approach for Composed Digital Twins in Cooperative Systems. In 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023 (pp. 1-8). IEEE. https://doi.org/10.1109/ETFA54631.2023.10275601

Gil Arboleda, S., Schou, C., Mikkelsen, P. H. & Larsen, P. G. (2024). Integrating Skills into Digital Twins in Cooperative Systems. In 2024 IEEE/SICE International Symposium on System Integration (SII) (pp. 1124-1131). IEEE. https://doi.org/10.1109/SII58957.2024.10417610

Gil Arboleda, S. (2024). Towards realization of Digital Twins for systems with coupled behavior. Aarhus University. https://doi.org/10.7146/aul.545

Gil Arboleda, S., Kamburjan, E., Talasila, P. & Larsen, P. G. (2024). An architecture for coupled digital twins with semantic lifting. Software and Systems Modeling. Advance online publication. https://doi.org/10.1007/s10270-024-01221-w

Gheisarnejad Chirani, M. & Khooban, M. H. (2021). Multi-microgrids with a Frequency Regulation-Based V2G Technology: Systems Analysis, Modeling, and Control. In Design, Control, and Operation of Microgrids in Smart Grids: Power Systems (pp. 1-26). Springer. https://doi.org/10.1007/978-3-030-64631-8_1

Gheisarnejad Chirani, M., Mohammadzadeh, A., Farsizadeh, H. & Khooban, M. H. (2022). Stabilization of 5G telecom Converter-Based Deep Type-3 Fuzzy Machine Learning Control for Telecom Applications. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(2), 544-548. https://doi.org/10.1109/TCSII.2021.3102282

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2021). A Robust Ultra-Local Model Control with DC Capacitor Voltage-Balancing for PEC9 Inverter. In 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (pp. 2601-2606). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595329

Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2022). Model Predictive Control-Based Type-3 Fuzzy Estimator for Voltage Stabilization of DC Power Converters. IEEE Transactions on Industrial Electronics, 69(12), 13849-13858. https://doi.org/10.1109/TIE.2021.3134052

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2023). Adaptive Fuzzy Q-Learning Control Design and Application to Grid-Tied Nine-level Packed E-Cell (PEC9) Inverter. IEEE Transactions on Industrial Electronics, 70(1), 1071-1076. https://doi.org/10.1109/TIE.2022.3153803

Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R., Andresen, B. & Khooban, M. H. (2023). Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. https://doi.org/10.1109/TETCI.2022.3181159

Gheisarnejad Chirani, M., Akhbari, A., Rahimi, M., Andresen, B. & Khooban, M. H. (2022). Reducing Impact of Constant Power Loads on DC Energy Systems by Artificial Intelligence. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(12), 4974-4978. https://doi.org/10.1109/TCSII.2022.3194271

Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Power Electronics: From Theory to Implementation. arXiv. https://doi.org/10.48550/arXiv.2303.04763

Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Quantum Deep Learning for Fast Switching of Full-Bridge Power Converters. Designs, 7(3), Article 60. https://doi.org/10.3390/designs7030060

Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. In Electric Transportation Systems in Smart Power Grids (pp. 473-492). CRC Press. https://doi.org/10.1201/9781003293989

Gheisarnejad Chirani, M., Sharifzadeh, M., S. Sadabadi , M., Portillo, R., Khooban, M. H., Franquelo, L. G. & Al-Haddad, K. (2024). Design of Ultra-Local Model Control Based on Interval Type-2 Fuzzy Logic for Nine-Packed E-Cell. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 5(1). https://doi.org/10.1109/JESTIE.2023.3310404

Gheisarnejad, M., Farsizadeh, H., Tavana, M. R. & Khooban, M. H. (2021). A Novel Deep Learning Controller for DC/DC Buck-Boost Converters in Wireless Power Transfer Feeding CPLs. IEEE Transactions on Industrial Electronics, 68(7), 6379-6384. https://doi.org/10.1109/TIE.2020.2994866

Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2021). A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters. IEEE Transactions on Industrial Electronics, 68(8), 6849-6858. https://doi.org/10.1109/TIE.2020.3005071

Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Data-Driven Switching Control Technique Based on Deep Reinforcement Learning for Packed E-Cell as Smart EV Charger. IEEE Transactions on Transportation Electrification, 11(1), 3194-3203. https://doi.org/10.1109/TTE.2024.3435763

Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2023). Deduplication of Textual Data by NLP Approaches. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199538

Ghanatian Najafabadi, H., Ronchini, M., Farkhani, H. & Moradi, F. (2022). STDP implementation using multi-state spin-orbit torque synapse. Semiconductor Science and Technology, 37(2), Article 024004. https://doi.org/10.1088/1361-6641/ac419c

Ghanatian Najafabadi, H., Farkhani, H. & Moradi, F. (2022). A Hybrid Spin-CMOS Flash ADC based on Spin Hall Effect and Spin Transfer Torque. In Proceedings - 2022 IEEE 40th International Conference on Computer Design, ICCD 2022 (pp. 701-704). IEEE. https://doi.org/10.1109/ICCD56317.2022.00107

Ghanatian, H., Farkhani, H., Rezaeiyan, Y., Bohnert, T., Ferreira, R. & Moradi, F. (2022). A 3-Bit Flash Spin-Orbit Torque (SOT)-Analog-to-Digital Converter (ADC). IEEE Transactions on Electron Devices, 69(4), 1691-1697. https://doi.org/10.1109/TED.2022.3142649

Ghanatian, H., Benetti, L., Anacleto, P., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2023). Spin-orbit torque flash analog-to-digital converter. Scientific Reports, 13(1), Article 9416. https://doi.org/10.1038/s41598-023-35845-7

Gegenbach, J., Andersson , M., Martin, F., Andresen, B., Sønderby, O., Sørensen, P. E. & Hartvig, M. (2022). Towards 100% Green Electronics: Managing variability and stability during the energy system transition. Megawind. https://megavind.winddenmark.dk/publications/towards-100-green-electrons

Gebreyesus, G., Cheruiyot Bett , R., Nakimbugwe, D., Hansen, L. S., Nielsen, H. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., MBI Tanga, C., Mwikirize, C., Akol, R., Katumba, A., Khamis, F., Kinyua, J., Walusimbi, S., Geoffrey, S., Roos, N. & Sahana, G. (2024). Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project. 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

Gautam, C., Tiwari, A., Mishra, P. K., Suresh, S., Iosifidis, A. & Tanveer, M. (2021). Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cognitive Computation, 13(2), 552-569. https://doi.org/10.1007/s12559-020-09804-7

Gasso, V., Barber, A., Moller, H., Bayonne, E., Oudshoorn, F. W. & Sørensen, C. G. (2025). Benchmarking for locally tuned sustainability: The case of energy and water use in New Zealand vineyards. Environmental and Sustainability Indicators, 25, Article 100536. https://doi.org/10.1016/j.indic.2024.100536

Gaikwad, N., Liu, L., Griffiths, M. P., Vang, M. Ø., Grombacher, D. & Larsen, J. J. (2022). Thermal Model of the Apsu Transmitter for Lightweight and Compact Heat Sink Design. 11-13. Abstract from The 8th International Workshop on Magnetic Resonance Sounding, Strasbourg, France. https://mrs2021.sciencesconf.org/data/pages/proceedings_MRS2021_distrib_v2.pdf

Gaikwad, N. B., Khare, S. K., Satpute, N. & Keskar, A. G. (2022). Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile. In Proceedings of PCEMS 2022 - 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (pp. 74-77). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCEMS55161.2022.9808049

Gaikwad, N. B., Khare, S. K., Ugale, H., Mendhe, D., Tiwari, V., Bajaj, V. & Keskar, A. G. (2023). Hardware Design and Implementation of Multiagent MLP Regression for the Estimation of Gunshot Direction on IoBT Edge Gateway. IEEE Sensors Journal, 23(13), 14549-14557. https://doi.org/10.1109/JSEN.2023.3278748

Gaikwad, N., Liu, L., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2023). A High Duty Cycle Transmitter Unit for Steady-State Surface NMR Instruments. (pp. 1-22). Geoscientific Instrumentation, Methods and Data Systems https://doi.org/10.5194/gi-2023-5

Gaardbaek, B. & Kidmose, P. (2025). On the Origin of Cardiovascular Sounds Recorded from the Ear. IEEE Transactions on Biomedical Engineering, 72(1), 210-216. https://doi.org/10.1109/TBME.2024.3445412

Frydenlund, A., Poggi, A. I., Hansen, S. K., Brage-Andersen, M., Merhi, Y., Agarwala, S., Mikkelsen, P. H., Nygaard, J. V., Steffensen, I. E. & Suetta, C. (2021). Elektrisk stimulation mod muskel- og funktionstab hos en patient indlagt med COVID-19. Ugeskrift for Læger, 183(20), 1-4. Article V03210275. https://ugeskriftet.dk/files/scientific_article_files/2021-05/v03210275_web.pdf

Frisk, O., Dormann, F., Lillelund, C. M. & Pedersen, C. F. (2021). Super-convergence and Differential Privacy: Training faster with better privacy guarantees. In 55th Annual Conference on Information Sciences and Systems (pp. 1-6). IEEE. https://arxiv.org/pdf/2103.10498.pdf

Frasheri, M., Esterle, L. & Papadopoulos, A. V. (2021). Cooperative Multi-agent Systems for the Multi-target κ -Coverage Problem. In A. P. Rocha, L. Steels & J. van den Herik (Eds.), Agents and Artificial Intelligence: ICAART 2020 (pp. 106-131). Springer. https://doi.org/10.1007/978-3-030-71158-0_5

Frasheri, M., Ejersbo, H., Thule, C. & Esterle, L. (2021). RMQFMU: Bridging the Real World with Co-simulation For Practitioners. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 66-80) https://arxiv.org/pdf/2110.09371.pdf

Frasheri, M., Thule, C., Macedo, H. D., Lausdahl, K., Larsen, P. G. & Esterle, L. (2021). Fault Injecting Co-simulations for Safety. 6-13. Paper presented at 5th International Conference on System Reliability and Safety, Palermo, Italy. https://doi.org/10.1109/ICSRS53853.2021.9660728

Frasheri, M., Struhar, V., Papadopoulos, A. V. & Causevic, A. (2022). Ethics of Autonomous Collective Decision-Making: The Caesar Framework. Science and Engineering Ethics, 28(6), Article 61. https://doi.org/10.1007/s11948-022-00414-0

Frasheri, M., Ejersbo, H., Thule, C., Gomes, C., Kvistgaard, J. L., Larsen, P. G. & Esterle, L. (2023). Addressing time discrepancy between digital and physical twins. Robotics and Autonomous Systems, 161, Article 104347. https://doi.org/10.1016/j.robot.2022.104347

Frasheri, M., Miloradovic, B., Esterle, L. & Papadopoulos, A. V. (2023). GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem. Proceedings (IEEE Symposium Series on Computational Intelligence), 1696-1703. https://doi.org/10.1109/SSCI52147.2023.10371893

Frasheri, M., Lumer-Klabbers, G., Kvistgaard, J. L., Hausted, J. O., Thule, C., Esterle, L. & Larsen, P. G. (2023). Building Safer Robots: From Simulation to Hardware Deployment. 2023 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023 - Proceedings, 63-68. https://doi.org/10.1109/MMAR58394.2023.10242467

Frasheri, M., Katsaros, P., Iosifidis, A., Hansen, S. T., Gomes, C., Evans, V. T. & Larsen, P. G. (2024). System Monitoring through a Digital Twin. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 189-207). Springer. https://doi.org/10.1007/978-3-031-66719-0_9

Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024). Advanced Digital Twin Services. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 209-221). Springer. https://doi.org/10.1007/978-3-031-66719-0_10

Foster, S. D., Miyazawa, A., Woodcock, J., Cavalcanti, A. L. C., Fitzgerald, J. & Larsen, P. G. (2014). An approach for managing semantic heterogeneity in Systems of Systems Engineering. In S. Cook, V. Ireland, A. Gorod, T. Ferris & Q. Do (Eds.), John Fitzgerald (pp. 113-118). IEEE. https://doi.org/10.1109/SYSOSE.2014.6892473

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. 129-142. Abstract from Symposium i Anvendt Statistik 2022, København, Denmark.

Foldager, L., Kaiser, M., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (pp. 181-181). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-937-4

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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

Download AU Engineering Profile 2013-2022:

Revised 22.02.2024

AU Engineering