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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Glukhov, A., Bridarolli, D., Ricci, S., Li, R., Shreya, S., Farkhani, H., Moradi, F. & Ielmini, D. (2023). Compact Modeling of Resistive Switching Memory (RRAM) With Voltage and Temperature Dependences. In 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) (pp. 793-797). IEEE. https://doi.org/10.1109/NMDC57951.2023.10343984

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., Oakes, B. J., Gomes, C., Frasheri, M. & Larsen, P. G. (2025). Toward a systematic reporting framework for Digital Twins: a cooperative robotics case study. Simulation, 101(3), 313-339. https://doi.org/10.1177/00375497241261406

Gil Arboleda, S., Kamburjan, E., Talasila, P. & Larsen, P. G. (2025). An architecture for coupled digital twins with semantic lifting. Software and Systems Modeling, 24(5), 1379-1404. https://doi.org/10.1007/s10270-024-01221-w

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

Gil Arboleda, S., Badyal, A., Miyazawa, A., Larsen, P. G. & Cavalcanti, A. (2026). A model-based approach for co-simulation-driven digital twins in robotics. Robotics and Autonomous Systems, 196, 1-20. Article 105240. https://doi.org/10.1016/j.robot.2025.105240

Gil, S., Baş, E. E., Jensen, C. D., Engelsgaard, S., Abbiati, G. & Gomes, C. (2025). FMI-Based Distributed Co-Simulation with Enhanced Security and Intellectual Property Safeguards. (1 ed.) (pp. 198-203).

Gheisarnejad Chirani, M., Khooban, M. H. & Boudjadar, J. (2019). Adaptive Network Based Fuzzy Inference System for Frequency Regulation in Modern Maritime Power Systems. Paper presented at IEEE 5th International Forum on Research and Technology for Society and Industry, Firenze, Italy. https://doi.org/10.1109/RTSI.2019.8895596

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 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-Level Packed E-Cell. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 5(1), 72-80. https://doi.org/10.1109/JESTIE.2023.3310404

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

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

Gheisarnejad, M., Fathollahi, A., Sharifzadeh, M., Laurendeau, E., Andresen, B. & Al-Haddad, K. (2025). Optimal Policy Gradient Based Type-2 Fuzzy Control for Multi-DC Terminal PEC Converter in 5G-Based Commercial Buildings. IEEE Journal of Emerging and Selected Topics in Power Electronics, 13(4), 5149-5161. https://doi.org/10.1109/JESTPE.2025.3573043

Gheisarnejad, M., Oshnoei, S., Sharifzadeh, M., Laurendeau, E. & Al-Haddad, K. (2025). Event-Triggered Entropy Learning for Encountering of FDI Attack in Grid-Connected Packed E-Cell Inverter. IEEE Transactions on Industrial Electronics, 72(12), 12797-12808. https://doi.org/10.1109/TIE.2025.3581190

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

Gentili, M., Tanaka, T., Nichols, V. A., Jørgensen, R. N., Jørgensen, J. R. & Gislum, R. (2025). Investigating weed and companion plant ecosystem services and disservices distribution maps using machine learning: Joint approaches for sustainable weed management. In 20TH EUROPEAN WEED RESEARCH SOCIETY SYMPOSIUM: Joint Approaches for Sustainable Weed Management (pp. 340-340). European Weed Research Society. https://doi.org/10.21001/20.weed.research.society.symposium.2025

Geirnaert, S., Kappel, S. L. & Kidmose, P. (2025). A direct comparison of simultaneously recorded scalp, around-ear and in-ear EEG for neural selective auditory attention decoding to speech. Scientific Reports, 15(1), Article 41655. https://doi.org/10.1038/s41598-025-25576-2

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

Gebreyesus, G., Nawoya, S., Ssemakula, F., Karstoft, H., Bjerge, K., Kunyanga, C. N., Mwikirize, C., Akol, R., Katumba, A., Nakimbugwe, D. & Geissmann, Q. (2024). Innovative phenotyping systems to advance selective breeding in black soldier fly: status from the FlyGene project. Journal of Insects as Food and Feed, 10(Supplement 1 (2024) S1–S353), S250. Article Volume 10, Supplement 1 (2024). https://doi.org/10.1163/23524588-20241013

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

Gaul, C., Ferreira, S. & Johansen, T. (2026). Partial rebreathing is not effective for early treatment of migraine with aura attacks: Results of a double-blind, randomized, controlled trial (PAREMA1). Headache, 66(2), 417-427. https://doi.org/10.1111/head.15090

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

Garval, M., Pedersen, L., Pedersen, L. M., Nielsen, A. K. W. D. J., Christiansen, D. H., Lange, J. & Wagner, S. (2026). Placement-Dependent Accuracy of a Smartphone-Based Sensor Application Compared to an Accelerometer-Based System for Measuring Physical Activity in Healthy Adults: A Validation Study. Sensors, 26(7), Article 2033. https://doi.org/10.3390/s26072033

Gardner, A. B., Gravesen, K. B., Loft, J. C., Tønning, P., Stanton, E. J., Ulsig, E. Z. & Volet, N. (2025). Robust and broadband UV laser utilizing Čerenkov phase matching on a hybrid photonic chip. Optics Express, 33(9), 19330-19341. https://doi.org/10.1364/OE.553404

Gardner, A. B., Siddharth, A., Reichler, M., Hulyal, S. U., Attanasio, A., Ji, X., Bhave, S., Volet, N., Blanconi, S. & Kippenberg, T. J. (2025). Low-Noise, Frequency-Agile Photonic Integrated Blue Laser for LiDAR and Underwater Communication. In 2025 European Conference on Optical Communications, ECOC 2025 IEEE. https://doi.org/10.1109/ECOC66593.2025.11262955

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). IEEE. 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

Gaikwad, N. B., Liu, L., Griffiths, M. P., Grombacher, D. & Larsen, J. J. (2025). A high-duty-cycle transmitter unit for steady-state surface NMR instruments. Geoscientific Instrumentation, Methods and Data Systems, 14(2), 139-151. https://doi.org/10.5194/gi-14-139-2025

Displaying results 1001 to 1050 out of 1435

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AU Engineering