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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Fitzgerald, J., Gomes, C. & Larsen, P. G. (Eds.) (2024). The Engineering of Digital Twins. Springer, Cham. https://doi.org/10.1007/978-3-031-66719-0

Fitzgerald, J., Larsen, P. G., Gomes, C., Charlton, R., Kristensen, K., Basagiannis, S. & Åkeson, J. (2024). The Potential of Digital Twins: Four Industry Perspectives. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 19-43). Springer. https://doi.org/10.1007/978-3-031-66719-0_2

Fitzgerald, J., Gomes, C., Johnsen, E. B., Kamburjan, E., Leucker, M. & Woodcock, J. (2025). Digital Twin Engineering. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Specification and Verification - 12th International Symposium, ISoLA 2024, Proceedings (pp. 3-8). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-75390-9_1

Fiorelli, R., Peralías, E., Méndez-Romero, R., Rajabali, M., Kumar, A., Zahedinejad, M., Åkerman, J., Moradi, F., Serrano-Gotarredona, T. & Linares-Barranco, B. (2023). CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range. Electronics, 12(1), Article 230. https://doi.org/10.3390/electronics12010230

Fiorelli, R., Rajabali, M., Mendez-Romero, R., Kumar, A., Litvinenko, A., Serrano-Gotarredona, T., Moradi, F., Akerman, J., Linares-Barranco, B. & Peralias, E. (2024). Spin Hall Nano-Oscillator Empirical Electrical Model for Optimal On-Chip Detector Design. IEEE Transactions on Electron Devices, 71(8), 4920-4925. https://doi.org/10.1109/TED.2024.3410245

Figueiredo, R. P. D., Sejersen, J. L. F., Hansen, J. G., Brandão, M. & Kayacan, E. (2021). Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach. (pp. 9064-9070). https://doi.org/10.48550/arXiv.2109.01474

Figueiredo, R. P. D., Hansen, J. G., Le Fevre Sejersen, J., Brandão, M. & Kayacan, E. (2021). On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation.

Ferro, M. V., Sørensen, C. G. & Catania, P. (2024). Comparison of different computer vision methods for vineyard canopy detection using UAV multispectral images. Computers and Electronics in Agriculture, 225, Article 109277. https://doi.org/10.1016/j.compag.2024.109277

Fernández Khatiboun, D., Rezaeiyan, Y., Ronchini, M., Sadeghi, M., Zamani, M. & Moradi, F. (2023). Digital Hardware Implementation of ReSuMe Learning Algorithm for Spiking Neural Networks. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) IEEE. https://doi.org/10.1109/EMBC40787.2023.10340282

Fernández Khatiboun, D., Richter, S., Piozin, C., Rezaeiyan, Y. & Moradi, F. (2025). Scalable Low-Power Hardware Architecture for Spike-Timing-Dependent SNN Learning Algorithms. 5-9. Paper presented at 2025 23rd IEEE Interregional NEWCAS Conference, Paris, France. https://doi.org/10.1109/NewCAS64648.2025.11107177

Feng, H., Gomes, C., Thule, C., Lausdahl, K., Sandberg, M. & Larsen, P. G. (2021). The Incubator Case Study for Digital Twin Engineering. ArXiv. https://arxiv.org/pdf/2102.10390.pdf

Feng, H., Gomes, C., Thule, C., Lausdahl, K., Iosifidis, A. & Larsen, P. G. (2021). Introduction to Digital Twin Engineering. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552135

Feng, H., Gomes, C., Iosifidis, A. & Larsen, P. G. (2021). Model-based monitoring and state estimation for digital twins: The Kalman filter. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), Annual Modeling and Simulation Conference (ANNSIM 2021) (pp. 1-2)

Feng, H., Gomes, C., Gil Arboleda, S., Mikkelsen, P. H., Tola, D., Larsen, P. G. & Sandberg, M. (2022). Integration Of The Mape-K Loop In Digital Twins. In C. R. Martin, N. Emami, M. J. Blas & R. Rezaee (Eds.), Proceedings of the 2022 Annual Modeling and Simulation Conference, ANNSIM (pp. 102-113). IEEE. https://doi.org/10.23919/ANNSIM55834.2022.9859489

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. [PhD dissertation, Aarhus University]. Aarhus 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. [PhD dissertation, Aarhus University]. Aarhus 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, 40(3), 1909-1921. https://doi.org/10.1109/TEC.2025.3531113

Fathollahi, A. (2025). Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review. Energies, 18(13), Article 3431. https://doi.org/10.3390/en18133431

Fathollahi, A., Nielsen, T. W., Andresen, B. & Dannesboe, C. (2025). Designing an IGBT-Based Active Front-End Rectifier with Voltage Oriented-based Control for Power-to-Hydrogen Electrolyzers. In Proceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025 (pp. 69-74). IEEE. https://doi.org/10.1109/GPECOM65896.2025.11061927

Fathollahi, A., Gheisarnejad, M., Sharifzadeh, M., Laurendeau, E., Andresen, B. & Al-Haddad, K. (2026). On-Policy Machine Learning Based-Disturbance Rejection Control for Grid-Tied PEC9 Inverter Under Parameters Mismatch and Distorted Grid Voltage. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(1), 1025-1037. https://doi.org/10.1109/TETCI.2025.3619574

Fathollahi, A., Sharifzadeh, M., Oshnoei, S., Gheisarnejad, M., Laurendeau, E. & Al-Haddad, K. (2025). Adaptive Fault-Tolerant Data-Driven Control of Multilevel PEC Inverter via Soft Reinforcement Learning Under Switching-Level Transition. In 2025 IEEE Energy Conversion Conference Congress and Exposition, ECCE 2025 IEEE. https://doi.org/10.1109/ECCE58356.2025.11259828

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. [PhD dissertation, Aarhus University]. Aarhus 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. [PhD dissertation, Aarhus University]. 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

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