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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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Zhou, P. Y., Fu, S., Finley, B., Li, X., Tarkoma, S., Kangasharju, J., Ammar, M. & Hui, P. (2024). 5G MEC Computation Handoff for Mobile Augmented Reality. In Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024 (pp. 129-136). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MetaCom62920.2024.00032

Zhou, P. Y. (2024). Unleashing GPT on the Metaverse: Savior or Destroyer? [Point of View]. Proceedings of the IEEE, 112(10), 1572-1582. https://doi.org/10.1109/JPROC.2024.3462604

Zhou, P. Y., Finley, B., Lee, L. H., Hadi Mogavi, R. & Hui, P. (2025). User-Centered Trustworthy AI Metrics in the Metaverse. In X. Fang (Ed.), HCI in Games : 7th International Conference, HCI-Games 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings (pp. 105-120). Springer. https://doi.org/10.1007/978-3-031-92578-8_8

Zheng, X., Luo, Y., Zhou, P. & Wang, L. (2025). Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognition, 158, Article 111029. https://doi.org/10.1016/j.patcog.2024.111029

Zheng, X., Zhou, P. Y., Vasilakos, A. V. & Wang, L. (2024). 360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2), 1190-1204. https://doi.org/10.1109/TPAMI.2024.3490619

Zheng, X., Zhou, P., Vasilakos, A. V. & Wang, L. (2024). Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 (pp. 27885-27895). IEEE Computer Society. https://doi.org/10.1109/CVPR52733.2024.02634

Zhao, X., Hosseinzadeh, M., Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2020). Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. In 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings Article 367470 IEEE. https://doi.org/10.1109/GCWkshps50303.2020.9367470, https://doi.org/10.1109/GCWkshps50303.2020.9367470

Zhao, X. (2020). Network Coding for Distributed Storage of IoT. [PhD thesis, Aarhus University].

Zhang, B., Yan, S., Li, B., Wu, S., Feng, H., Gao, X., Song, X. & Siddique, K. H. M. (2023). Combining organic and chemical fertilizer plus water-saving system reduces environmental impacts and improves apple yield in rainfed apple orchards. Agricultural Water Management, 288, Article 108482. https://doi.org/10.1016/j.agwat.2023.108482

Zhang, S., Ding, Y., Tang, W., Sun, W., Liao, Y. & Zhou, P. Y. (2025). Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation. In WSDM 2025 - Proceedings of the 18th ACM International Conference on Web Search and Data Mining (pp. 327-335). Association for Computing Machinery. https://doi.org/10.1145/3701551.3703513

Zelba, O., Wilderspin, S., Hubbard, A., Nellist, C. F., Mortensen, A. K., Schulz, P., Huerta-Espino, J., Singh, R. & Sørensen, C. K. (2024). The adult plant resistance (APR) genes Yr18, Yr29 and Yr46 in spring wheat showed significant effect against important yellow rust races under North-West European field conditions. Euphytica, 220(7), Article 107. https://doi.org/10.1007/s10681-024-03355-w

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2022). Data-driven fluid mechanics of wind farms: A review. Journal of Renewable and Sustainable Energy, 14(3), Article 032703. https://doi.org/10.1063/5.0091980

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Zayed, Y. N. H. (2023). Towards a Human-Centered Framework for the Assessment of Subjective Social Values in Buildings. In J. Vanthienen, T. Kliegr, P. Fodor, D. Lanti, D. Arndt, E. V. Kostylev, T. Mitsikas & A. Soylu (Eds.), RuleML+RR-Companion 2023: RuleML+RR Challenge and Doctoral Consortium 2023 CEUR-WS.org. https://ceur-ws.org/Vol-3485/paper6908.pdf

Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2024). The Anatomy of an Architect´s Argument: Formally Capturing Socially-Oriented Design Intentions in the Built Environment. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 268-275) https://doi.org/10.35490/EC3.2024.186

Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2025). A Formalization Framework for Integrating Social Design Intentions into Digital Building Models. Sustainability, 17(17), Article 7739. https://doi.org/10.3390/su17177739

Zayed, Y. N. H., Kamari, A. & Schultz, C. P. L. (2025). Co-creation of Prospect: a BIM-based Plugin Enabling Architects to Embed Social Design Intentions in Building Models. Abstract from Joint EC3 (European Conference on Computing in Construction) and CIB W78 (Information Technology for Construction) 2025, Porto, Portugal. https://ec-3.org/publications/conferences/EC32025/papers/EC32025_173.pdf

Zayed, Y. N. H., Kristoffersen, A. E., Kamari, A. & Schultz, C. P. L. (2025). Leveraging Large Language Models in Capturing Architects Social Design Intentions in Buildings A Case Study. In Proceedings of SBE2025 Zurich: Sustainable Built Environment Conference (SBE25) https://doi.org/10.3929/ethz-c-000785697

Zamora Luria, J. C., Asif, M. R., Meldgaard Madsen, L. & Grombacher, D. (2025). Challenges with starting models, correlation and convergence for inversion of IP-affected TEM data: examples from African countries. Geophysics. Advance online publication. https://doi.org/10.1190/geo-2025-0285

Zamm, A., Loehr, J. D., Vesper, C., Konvalinka, I., Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024). A practical guide to EEG hyperscanning in joint action research: from motivation to implementation. Social Cognitive and Affective Neuroscience, 19(1), Article nsae026. https://doi.org/10.1093/scan/nsae026

Zambrano, V., Mueller-Roemer, J., Sandberg, M., Talasila, P., Zanin, D., Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022). Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms. Array, 14, Article 100176. https://doi.org/10.1016/j.array.2022.100176

Zamani, M., Ronchini, M., Huynh, H. A., Farkhani, H. & Moradi, F. (2021). Flexible Energy-Efficient Implementation of Adaptive Spiking Encoder for Neuromorphic Processors. In 2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings Article 9401103 IEEE. https://doi.org/10.1109/ISCAS51556.2021.9401103

Zamani, M., Rezaeiyan, Y., Huynh, H. A., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 2.3-μW Capacitively Coupled Chopper-Stabilized Neural Amplifier with Input Impedance of 6.7 GΩ. IEEE Solid-State Circuits Letters, 4, 133 - 136. Article 9471814. https://doi.org/10.1109/LSSC.2021.3094237

Zamani, M., Hosseini, S., Laursen, K., Rashidi, A., Ivriq, S. B., Rezaeiyan, Y. & Moradi, F. (2025). Ultrasound-Based Wireless Powering Technologies. In R. Das & H. Heidari (Eds.), Wireless Power Technologies for Biomedical Devices (pp. 113-163). Springer. https://doi.org/10.1007/978-3-031-52834-7_6

Yuksel, O., Sandberg, M., Hattel, J. H., Akkerman, R. & Baran, I. (2021). Mesoscale Process Modeling of a Thick Pultruded Composite with Variability in Fiber Volume Fraction. Materials, 14(13), Article 3763. https://doi.org/10.3390/ma14133763

Yildiz, E., Møller, C., Bilberg, A. & Rask, J. K. (2021). Virtual Prototyping: Evaluating the Digital Twin Based Virtual Factory for New Product Introduction. Complex Systems Informatics and Modeling Quarterly, 29(29), 1-16. Article 163. https://doi.org/10.7250/csimq.2021-29.01

Yildirim, B., Gheisarnejad, M. & Khooban, M. H. (2021). Delay-Dependent Stability Analysis of Modern Shipboard Microgrids. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 68(4), 1693-1705. https://doi.org/10.1109/TCSI.2021.3052774

Yildirim, B., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). A new parameters tuning technique for non-integer controllers in low-inertia modern power grids. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 3(2), 279-288. https://doi.org/10.1109/JESTIE.2021.3119888

Yildirim, B., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). A Robust Non-Integer Controller Design for Load Frequency Control in Modern Marine Power Grids. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(4), 852-866. https://doi.org/10.1109/TETCI.2021.3114735

Yildirim, B., Razmi, P., Fathollahidehkordi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Neuromorphic deep learning frequency regulation in stand-alone microgrids. Applied Soft Computing, 144, Article 110418. https://doi.org/10.1016/j.asoc.2023.110418

Yildirim, B., Gheisarnejad Chirani, M., Mohammadzadeh, A. & Khooban, M. H. (2023). Intelligent frequency stabilization of low-inertia islanded power grids-based redox battery. Journal of Energy Storage, 71, Article 108190. https://doi.org/10.1016/j.est.2023.108190

Yildirim, B., Gheisarnejad Chirani, M., Temel Özdemir, M. T. Ö. & Khooban, M. H. (2024). Multi-agent fuzzy Q-learning-based PEM fuel cell air-feed system control. International Journal of Hydrogen Energy, 75, 354-362. https://doi.org/10.1016/j.ijhydene.2024.02.129

Yildirim, B., Gheisarnejad Chirani, M. & Khooban, M. H. (2025). Smart Energy Hub Frequency Control-Based Machine Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 9(5), 3638-3649. https://doi.org/10.1109/TETCI.2025.3551991

Yeh, C. Y., Ghasempour, Y., Amarasinghe, Y., Mittleman, D. M. & Knightly, E. W. (2024). Security and Angle-Frequency Coupling in Terahertz WLANs. IEEE/ACM Transactions on Networking, 32(2), 1524-1539. https://doi.org/10.1109/TNET.2023.3321641

Yazdani, N. & Lucani Rötter, D. E. (2021). Revolving Codes: Overhead and Computational Complexity Analysis. IEEE Communications Letters, 25(2), 374-378. Article 9210058. https://doi.org/10.1109/LCOMM.2020.3027875

Yazdani, N. & Lucani Rötter, D. E. (2021). Online Compression of Multiple IoT Sources Reduces the Age of Information. IEEE Internet of Things Journal, 8(19), 14514-14530. https://doi.org/10.1109/JIOT.2021.3064511

Yazdani, N., Kouvelas, N., Prasad, R. V. & Lucani Rötter, D. E. (2021). Energy Efficient Data Recovery from Corrupted LoRa Frames. In 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685613

Yazdani, N., Kouvelas, N., Lucani Rötter, D. E. & Prasad, R. V. (2022). Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames. In IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 235-243). IEEE. https://doi.org/10.1109/SECON55815.2022.9918571

Yazdani, N. (2021). Massive-Scale IoT Dynamic Data Updating and Compression for a Scalable IoT Infrastructure. [PhD thesis, Aarhus University]. Aarhus Universitet.

Yalsavar, M., Karimaghaee, P., Sheikh-Akbari, A., Khooban, M. H., Dehmeshki, J. & Al-Majeed, S. (2022). Kernel Parameter Optimization for Support Vector Machine Based on Sliding Mode Control. IEEE Access, 10, 17003-17017. https://doi.org/10.1109/ACCESS.2022.3150001

Yaacob, H., Hossain, F., Shari, S., Khare, S. K., Ooi, C. P. & Rajendra Acharya, U. (2023). Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022). IEEE Access, 11, 74736-74758. https://doi.org/10.1109/ACCESS.2023.3296382

Xu, L., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2022). Saliency-based Weighted Multilabel Linear Discriminant Analysis. IEEE Transactions on Cybernetics, 52(10), 10200-10213. https://doi.org/10.1109/TCYB.2021.3069338

Wu, Q. F., Jochum, M., Avery, J. E., Vettoretti, G. & Nuterman, R. (2025). Machine Guided Derivation of the Atlantic Meridional Overturning Circulation (AMOC) Strength. Geophysical Research Letters, 52(3), Article e2024GL113454. https://doi.org/10.1029/2024GL113454

Wu, H., Liao, Y., Hadi Mogavi, R., Hui, P. & Zhou, P. Y. (2025). Deepfake in the Metaverse: An Outlook Survey. In X. Fang (Ed.), HCI in Games : 7th International Conference, HCI-Games 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings (pp. 253-267). Springer. https://doi.org/10.1007/978-3-031-92578-8_17

Wu, S., Deng, S., Wei, X., Asif, M. R., Vignoli, G. & Farquharson, C. G. (2025). Frontiers in electromagnetic geophysics - Introduction. Geophysics, 90(3), WAi-WAii. https://doi.org/10.1190/geo2025-0312-spseintro.1

Wright, T., Gomes, C. & Woodcock, J. (2022). Formally Verified Self-adaptation of an Incubator Digital Twin. In T. Margaria & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Practice, ISoLA 2022 (pp. 89-109). Springer. https://doi.org/10.1007/978-3-031-19762-8_7

Wright, T., Dennis, L. A., Woodcock, J. & Foster, S. (2025). Formal Verification of BDI Agents. In M. Hinchey & B. Steffen (Eds.), The Combined Power of Research, Education, and Dissemination: Essays Dedicated to Tiziana Margaria on the Occasion of Her 60th Birthday (pp. 302-326). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73887-6_20

Woodcock, J. & Larsen, P. G. (1995). Guest Editorial: Introduction to Special Section. IEEE Transactions on Software Engineering, 21, 61-62. https://doi.org/10.1109/TSE.1995.10000

Woodcock, J., Andersen, M. S., Aranha, D. F., Hallerstede, S., Hansen, S. T., Jakobsen, N. K., Kulik, T., Larsen, P. G., Macedo, H. D., Martin, C. I. I. & Norrild, V. A. M. (2023). State of the Art Report: Verified Computation. https://doi.org/10.48550/arXiv.2308.15191

Wewer, C. R. & Iosifidis, A. (2023). Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10218063

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