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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Feng, H., Gomes, C., Sandberg, M., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). Developing a Physical and Digital Twin: An Example Process Model. In Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021 (pp. 286-295). IEEE. https://doi.org/10.1109/MODELS-C53483.2021.00050

Feng, H., Gomes, C., Sandberg, M., Macedo, H. D. & Larsen, P. G. (2022). Under What Conditions Does a Digital Shadow Track a Periodic Linear Physical System? In A. Cerone, M. Autili, A. Bucaioni, C. Gomes, P. Graziani, M. Palmieri, M. Temperini & G. Venture (Eds.), Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops - CIFMA, CoSim-CPS, OpenCERT, ASYDE, Revised Selected Papers (pp. 143-155). Springer. https://doi.org/10.1007/978-3-031-12429-7_11

Feng, H. (2023). Digital Twin Engineering with an Application to an Incubator. Århus Universitet.

Fehér, M., Yazdani, N., Hansen, M. T., Vester, F. E. & Lucani Rötter, D. E. (2020). Smart Meter Data Compression using Generalized Deduplication. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings: Proceedings Article 9322393 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9322393

Fehér, M., Yazdani, N., Aranha, D. F., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2020). Side Channel Security of Smart Meter Data Compression Techniques. In 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020: Proceedings Article 9302931 IEEE. https://doi.org/10.1109/SmartGridComm47815.2020.9302931

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2021). Exploiting DLMS/COSEM Data Compression To Learn Power Consumption Patterns. In 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021 (pp. 346-351). IEEE. https://doi.org/10.1109/SmartGridComm51999.2021.9632291

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2022). Stream Compression of DLMS Smart Meter Readings. In ICC 2022 - IEEE International Conference on Communications (pp. 5517-5522). IEEE. https://doi.org/10.1109/ICC45855.2022.9838758

Fehér, M., Lucani Rötter, D. E. & Chatzigeorgiou, I. (2022). An Adaptive Column Compression Family for Self-Driving Databases. Paper presented at Thirteenth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, Sydney, New South Wales, Australia. https://arxiv.org/abs/2209.02334

Fehér, M. (2023). On Compression for the Complete IoT Data Lifecycle: From Collection to Analytics. Århus Universitet.

Faurby, C. F. D., Wang, Y., Paesani, S., Ruf, F., Volet, N., Heck, M., Wieck, A. D., Ludwig, A., Midolo, L. & Lodahl, P. (2023). Quantum-Dot Single-Photon Sources Processed on Silicon-Nitride Integrated Circuits. Paper presented at Conference on Laser and Electro-Optics (CLEO) , San Jose, California, United States.

Fathollahidehkordi, A., Derakhshandeh, S. Y., Ghiasian, A. & Khooban, M. H. (2022). Utilization of dynamic wireless power transfer technology in multi-depot, multi-product delivery supply chain. Sustainable Energy, Grids and Networks, 32, Article 100836. https://doi.org/10.1016/j.segan.2022.100836

Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Homayounzadeh, M. & Khooban, M. H. (2023). Optimal Design of Wireless Charging Electric Buses-Based Machine Learning: A Case Study of Nguyen-Dupuis Network. I E E E Transactions on Vehicular Technology, 72(7), 8449-8458. https://doi.org/10.1109/TVT.2023.3247838

Fathollahidehkordi, A., Gheisarnejad Chirani, M., Andresen, B., Farsizadeh, H. & Khooban, M. H. (2023). Robust Artificial intelligence Controller for Stabilization of Full-Bridge Converters Feeding Constant Power Loads. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(9), 3504-3508. https://doi.org/10.1109/TCSII.2023.3270751

Fathollahidehkordi, A., Gheisarnejad Chirani, M., Boudjadar, J., Derakhshandeh, S. Y. & Khooban, M. H. (2023). Multi-Criteria Design of Electric Transit Bus Based on Wireless Charging Infrastructure: A Case Study of Real Road Map in Wakefield. Automation , 4(3), 291-308. https://doi.org/10.3390/automation4030017

Fathollahidehkordi, A. & Andresen, B. (2023). Multi-Machine Power System Transient Stability Enhancement Utilizing a Fractional Order-Based Nonlinear Stabilizer. Fractal and Fractional, 7(11), 808. Article 808. https://doi.org/10.3390/fractalfract7110808

Fathollahi, A. & Andresen, B. (2024). Deep deterministic policy gradient for adaptive power system stabilization and voltage regulation. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9, Article 100675. https://doi.org/10.1016/j.prime.2024.100675

Fathollahi, A. & Andresen, B. (2024). Adaptive Fixed-Time Control strategy of Generator Excitation and Thyristor-Controlled Series Capacitor in Multi-Machine Energy Systems. IEEE Access, 12, 100316-100327. https://doi.org/10.1109/ACCESS.2024.3430199

Fathollahi, A. & Andresen, B. (2024). Enhancing Transient Stability in Multi-Machine Power Systems through a Model-Free Fractional-Order Excitation Stabilizer. Fractal and Fractional, 8(7), Article 419. https://doi.org/10.3390/fractalfract8070419

Fathollahi, A. (2024). Intelligent Control Framework for Improving Energy System Stability Through Deep Learning-Based Modal Optimization Scheme. Sustainability (Switzerland), 16(21), Article 9392. https://doi.org/10.3390/su16219392

Fathollahi, A. & Andresen, B. (2025). Power Quality Analysis and Improvement of Power-to-X Plants Using Digital Twins: A Practical Application in Denmark. IEEE Transactions on Energy Conversion. Advance online publication. https://doi.org/10.1109/TEC.2025.3531113

Farooq, W., Islam, S. U., Khan, M. A., Rehman, S., Gulzari, U. A. & Boudjadar, J. (2022). UGAVs-MDVR: A Cluster-Based Multicast Routing Protocol for Unmanned Ground and Aerial Vehicles Communication in VANET. Applied Sciences, 12(23), Article 11995. https://doi.org/10.3390/app122311995

Farkhani, S., Skovsen, S. K., Dyrmann, M., Nyholm Jørgensen, R. & Karstoft, H. (2021). Weed classification using explainable multi-resolution slot attention. Sensors, 21(20), Article 6705. https://doi.org/10.3390/s21206705

Farkhani, S. (2022). Soft Regression based on Sparse Unbalanced Labels. Århus Universitet.

Fares, H., Ronchini, M., Zamani, M., Farkhani, H. & Moradi, F. (2022). In the realm of hybrid Brain: Human Brain and AI. ArXiv. https://doi.org/10.48550/arXiv.2210.01461

Far Brusatori, M. & Volet, N. (2022). External optical feedback engineered to reduce and stabilize the linewidth of diode lasers. In V. S. Ilchenko, A. M. Armani & J. V. Sheldakova (Eds.), Laser Resonators, Microresonators, and Beam Control XXIV Article 119870D SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2609616

Far Brusatori, M., Klein, H. & Volet, N. (2023). Achieving High Stability of Dual-Wavelength U-Shaped Laser in the C-Band Using Optical Feedback. IEEE Photonics Technology Letters, 35(10), 573-576. https://doi.org/10.1109/lpt.2023.3264160

Far Brusatori, M., Klein, H. & Volet, N. (2022). Dual-wavelength laser in the C-band with narrow-linewidth reduced by optical feedback. Abstract from IEEE Photonics Conference 2022. https://doi.org/10.1109/IPC53466.2022.9975567

Far Brusatori, M. (2023). Engineering Optical Feedback for Stable Diode Laser Performance. Aarhus University.

Faraji, B., Gheisarnejad, M., Rouhollahi, K., Esfahani, Z. & Khooban, M. H. (2021). Machine Learning Approach based on Ultra-Local Model Control for Treating Cancer Pain. I E E E Sensors Journal, 21(6), 8245-8252. Article 9285309. https://doi.org/10.1109/JSEN.2020.3042937

Faraji, B., Gheisarnejad, M., Yalsavar, M. & Khooban, M. H. (2021). An Adaptive ADRC Control for Parkinson’s Patients Using Machine Learning. IEEE Sensors Journal, 21(6), 8670 - 8678. Article 9311650. https://doi.org/10.1109/JSEN.2020.3048588

Faraji, B., Gheisarnejad, M., Esfahani, Z. & Khooban, M. H. (2022). Smart Sensor Control for Rehabilitation in Parkinson's Patients. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(2), 267-275. https://doi.org/10.1109/TETCI.2020.3045483

Faraji, B., Paghaleh, S. M., Gheisarnejad, M., Khooban, M. H. & Senior Member, IEEE (2024). Simultaneous control of rigidity and hand tremor by adaptive fuzzy Q-learning. Communications in Nonlinear Science and Numerical Simulation, 130, Article 107670. https://doi.org/10.1016/j.cnsns.2023.107670

Fan, W., Haiyang, Y., Zhongda, Z., Xiaobo, Z., Yuzhang, Z. & Haiyan, W. (2025). ESTMST-ST: An End-to-End Soft Threshold and Multiloss Self-Distillation Based Swin Transformer for Underwater Acoustic Signal Recognition. IEEE Transactions on Geoscience and Remote Sensing, 63, Article 4200813. https://doi.org/10.1109/TGRS.2024.3520860

Falay, B., Wilfling, S., Alfalouji, Q., Exenberger, J., Schranz, T., Legaard, C. M., Leusbrock, I. & Schweiger, G. (2021). Coupling physical and machine learning models: case study of a single-family house. In Proceedings of 14th Modelica Conference 2021 (pp. 335-341) https://doi.org/10.3384/ecp21181335

Evans, V. T., Gomes, C. & Lucani Rötter, D. E. (2025). Precision on Demand: Propositional Logic for Event-Trigger Threshold Regulation. IEEE Internet of Things Journal, 12(3), 2674-2689. https://doi.org/10.1109/JIOT.2024.3476922

Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S. & Larsen, P. G. (2021). Digital twins for collaboration and self-integration. In E. El-Araby, V. Kalogeraki, D. Pianini, F. Lassabe, B. Porter, S. Ghahremani, I. Nunes, M. Bakhouya & S. Tomforde (Eds.), Proceedings - 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 (pp. 172-177). IEEE. https://doi.org/10.1109/ACSOS-C52956.2021.00040

Esterle, L. (2022). Deep learning in multiagent systems. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 435-460). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00022-1

Esterle, L. & King, D. W. (2021). Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms. ACM Transactions on Autonomous and Adaptive Systems, 16(2), Article 5. https://doi.org/10.1145/3502725

Esterle, L., Ejersbo, H., Frasheri, M., Gomes, C., Macedo, H. D. & Larsen, P. G. (2022). Digital Twins for Autonomous Intelligent Systems: From Development to Deployment. In Proceedings - 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022 (pp. 53-54). IEEE. https://doi.org/10.1109/ACSOSC56246.2022.00028

Esterle, L., Montagna, S., Pianini, D., Aguzzi, G., Bellman, K. L., Ciatto, G., Contoli, C., Donati, M., Mariani, S., Rahmani, A., Savaglio, C., Storti, E., TaheriNejad, N., van der Sluis, O. & Wang, Z. (2024). MADTECC 2024: 1st Workshop on Medical Applications with Digital Twins and Edge-cloud Continuum - Welcome and Committees. In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 30-31). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10502899

Esterle, L., Frasheri, M. & Larsen, P. G. (2024). Autonomous Reconfguration Enabled by Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 345-362). Springer. https://doi.org/10.1007/978-3-031-66719-0_14

Esterle, L. (2022). Collaborative Systems: Learning and Working Together. CEUR Workshop Proceedings, 3461.

Esterle, L., Porter, B. & Woodcock, J. (2021). Verification and Uncertainties in Self-integrating System. In 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 220-225) https://doi.org/10.1109/ACSOS-C52956.2021.00050

Esfahani, Z. (2023). Copper-Based Redox Flow Batteries for Frequency Containment Reservation (FCR) Provision.

Eriksen, T. & Rehman, N. U. (2023). Data-driven nonstationary signal decomposition approaches: a comparative analysis. Scientific Reports, 13(1), Article 1798. https://doi.org/10.1038/s41598-023-28390-w

Ejersbo, H., Lausdahl, K., Frasheri, M. & Esterle, L. (2023). Dynamic Runtime Integration of New Models in Digital Twins. ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 44-55. https://doi.org/10.1109/SEAMS59076.2023.00016

Ehlers, M. H., Finger, R., El Benni, N., Gocht, A., Sørensen, C. A. G., Gusset, M., Pfeifer, C., Poppe, K., Regan, Á., Rose, D. C., Wolfert, S. & Huber, R. (2022). Scenarios for European agricultural policymaking in the era of digitalisation. Agricultural Systems, 196, Article 103318. https://doi.org/10.1016/j.agsy.2021.103318

Ebeid, E. S. M., Jacobsen, R. H., Schenider-Kamp, P., Vom Bögel, G., Guzzini, P., Luminari, N., Casarotti, C., Mandirola, M., Taurino, D. & Del Sole, A. (2022). Autonomous Drones to Ensure Safety in Transport: Concept and Implementations. 1-9. Paper presented at SESAR Innovation days 2022, Budapest, Hungary, Hungary.

Dyrmann, M., Mortensen, A. K., Linneberg, L., Høye, T. T. & Bjerge, K. (2021). Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning. Sensors (Switzerland), 21(18), Article 6126. https://doi.org/10.3390/s21186126

Dybro, N., M. Allen, C., Grift, T., Grøn Sørensen, C. & C. Hansen, A. (2021). Sources of Increased Food Demand by 2050 and Options to Address the Challenge. Poster session presented at ASABE.

Displaying results 901 to 950 out of 1195

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