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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Li, H., Ma, L., Shi, H., Hao, Y., Liao, Y., Cheng, L. & Zhou, P. Y. (2025). 3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (Eds.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 390-406). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73033-7_22

Razmi, P., Rahimi, T., Gheisarnejad Chirani, M. & Khooban, M. H. (2025). Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system. IET Renewable Power Generation, 19(1). https://doi.org/10.1049/rpg2.12569

Khooban, M. H. (2025). Applications of Deep Machine Learning in Future Energy Systems. (1 ed.) Elsevier. https://shop.elsevier.com/books/applications-of-deep-machine-learning-in-future-energy-systems/khooban/978-0-443-21432-5

Lebiecka-Johansen, P., Zekveld, A. A., Wendt, D., Koelewijn, T., Muhammad, A. I. & Kramer, S. E. (2025). Classification of Hearing Status Based on Pupil Measures During Sentence Perception. Journal of Speech, Language, and Hearing Research, 1-21. https://doi.org/10.1044/2024_JSLHR-24-00005

Li, B. & Schultz, C. P. L. (2025). Clingo2DSR - A clingo-based software system for declarative spatial reasoning. Spatial Cognition & Computation, 25(1), 69-119. https://doi.org/10.1080/13875868.2024.2324875

Asif, M. R., Kass, M. A., Herpe, M., Rawlinson, Z., Westerhoff, R., Larsen, J. J. & Christiansen, A. V. (2025). Comparative analysis of deep learning and traditional airborne electromagnetic data processing: A case study. Geophysics, 90(3), WA103-WA112. https://doi.org/10.1190/geo2024-0282.1

Bjerge, K., Bodesheim, P. & Karstoft, H. (2025). Deep Image Clustering with Model-Agnostic Meta-Learning. In In Proceedings of the 20th International Joint Conference on Computer Vision (Vol. 2, pp. 286-297). Imaging and Computer Graphics Theory and Applications - VISAPP 2025.

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

Hasanvand , S., Sobhani, H. & Khooban, M. H. (2025). Distribution network clustering for reactive power planning and distributed voltage control. IET Generation, Transmission & Distribution. https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/gtd2.70002

Li, H., Shi, H., Zhang, W., Wu, W., Liao, Y., Wang, L., Lee, L. H. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (Eds.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 214-230). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-72904-1_13

Kusumanchi, P., Madsen, J. G., Bek, T., Keller, S. S. & Davidsen, R. S. (2025). Electrical stimulation of neuroretinas with 3D pyrolytic carbon electrodes. Biomedical Microdevices. https://doi.org/10.1007/s10544-024-00729-8

Baghaee Ivriq, S., Mohammadi, M. & Davidsen, R. S. (2025). Enhancing photovoltaic efficiency in Half-Tandem MAPbI3/ MASnI3 Perovskite solar cells with triple core-shell plasmonic nanoparticles. Scientific Reports, 15(1478). https://doi.org/10.1038/s41598-025-85243-4

Naveed, K. & Rehman, N. U. (2025). Fully multivariate detrended fluctuation analysis using Mahalanobis norm with application to multivariate signal denoising. Measurement: Journal of the International Measurement Confederation, 242(Part E), Article 116142. https://doi.org/10.1016/j.measurement.2024.116142

Jain, A., Cunha, F., Bunsen, M. J., Cañas, J. S., Pasi, L., Pinoy, N., Helsing, F., Russo, J., Botham, M., Sabourin, M., Fréchette, J., Anctil, A., Lopez, Y., Navarro, E., Perez Pimentel, F., Zamora, A. C., Silva, J. A. R., Gagnon, J., August, T. ... Rolnick, D. (2025). Insect Identification in the Wild: The AMI Dataset. In A. Leonardis , E. Ricci , S. Roth , O. Russakovsky , T. Sattler & G. Varol (Eds.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 55-73). Springer. https://doi.org/10.1007/978-3-031-72913-3_4

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

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, 2674-2689. https://doi.org/10.1109/JIOT.2024.3476922

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

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

Koolivand, Y., Mosalmani, A., Rezaeiyan, Y., Esmailbeygi, H., Hatamzadeh, E., Zamani, M. & Moradi, F. (2024). A 65nm 3mA 0.14-m-Accuracy TDR Based Leak Detection SoC for District Heating Networks with I/C Calibration Technique. In Proceedings of the Custom Integrated Circuits Conference IEEE. https://doi.org/10.1109/CICC60959.2024.10528962

Koolivand, Y., Rezaeiyan, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T. & Moradi, F. (2024). A 69MHz-Bandwidth 40V/μ s-Slew-Rate 3n V/√Hz-Noise 4.5 μ V-Offset Chopper Operational Amplifier. IEEE Transactions on Circuits and Systems I: Regular Papers, 71(7), 2977-2988. https://doi.org/10.1109/TCSI.2024.3374428

Tang, W., Cao, Y., Ying, J., Wang, B., Zhao, Y., Liao, Y. & Zhou, P. (2024). A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. In L.-W. Ku, A. Martins & V. Srikumar (Eds.), 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference (pp. 3670-3685). Association for Computational Linguistics (ACL).

Shen, K., Zhao, Z., Chen, Y., Zhang, Z. & Cheng, H. V. (2024). Accelerating Quadratic Transform and WMMSE. IEEE Journal on Selected Areas in Communications, 42(11), 1. https://doi.org/10.1109/JSAC.2024.3431523

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). ACCURATE GIGAPIXEL CROWD COUNTING BY ITERATIVE ZOOMING AND REFINEMENT. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6510-6514). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10446065

Sharifirad, I. & Boudjadar, J. (2024). A Computationally-efficient Semi-supervised Learning Model for the Estimation of State Degradation of a Milling Tool. In 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics, SAMI 2024 - Proceedings (pp. 187-192). IEEE. https://doi.org/10.1109/SAMI60510.2024.10432881

Kristoffersen, A. E., Schultz, C. P. L. & Kamari, A. (2024). A critical comparison of concepts and approaches to social sustainability in the construction industry. Journal of Building Engineering , 91, Article 109530. https://doi.org/10.1016/j.jobe.2024.109530

Hansen, J. G. & de Figueiredo, R. P. (2024). Active Object Detection and Tracking Using Gimbal Mechanisms for Autonomous Drone Applications. Drones, 8(2), Article 55. https://doi.org/10.3390/drones8020055

Marinoudi, V., Benos, L., Camacho Villa, C., Lampridi, M., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Adapting to the Agricultural Labor Market Shaped by Robotization. Sustainability, 16(16), Article 7061. https://doi.org/10.3390/su16167061

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

Han, G., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Adaptive prescribed performance based on recursive nonsingular terminal sliding mode control for quad-rotor systems under uncertainty and disturbance: real-time validation. Aerospace Science and Technology, 147, Article 109028. https://doi.org/10.1016/j.ast.2024.109028

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of floral environments and insect populations. bioRxiv. https://doi.org/10.1101/2024.04.12.589205

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments. Ecological Informatics, 84, Article 102861. https://doi.org/10.1016/j.ecoinf.2024.102861

Kunrath, K., Leka, S., Vestergaard, L. S., Presser, M. & Ramanujan, D. (2024). A Digital Tool for Scaffolding Innovation Learning in Engineering Education with Local Industry Needs. International Journal of Engineering Education, 40(4), 801-814.

Jensen, M., Toft Jacobsen, J., Sharifirad, I. & Boudjadar, J. (2024). Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs. In J. Chen & L. T. Yang (Eds.), 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys): Proceedings IEEE. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00082

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

Gomes Guerreiro, G. M., Frank, M., Dreyer, T., Yang, G. & Andresen, B. (2024). Advancements on Grid Compliance in Wind Power: Component & Subsystem Testing, Software-/Hardware-in-the-Loop, and Digital Twins. IEEE Access, 12, 25949-25966. https://doi.org/10.1109/ACCESS.2024.3366091

Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. Aarhus University.

Boudjadar, J. & Islam, S. U. (2024). AgriScanNet-18: A Robust Multilayer CNN for Identification of Potato Plant Diseases. 291-308. Paper presented at Intelligent Systems Conference, Amsterdam, Netherlands. https://doi.org/10.1007/978-3-031-47724-9_20

Nordtorp, F., Baş, E. E., Gomes, C. & Abbiati, G. (2024). A Hybrid Testing Framework for Wind Turbine Mechanical Components. Journal of Physics: Conference Series, 2767(5), Article 052046. https://doi.org/10.1088/1742-6596/2767/5/052046

Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. In Proceedings of the 6th IFAC International Workshop on Advance Maintenance Engineering, Services and Technology (AMEST 2024) (8 ed., Vol. 58, pp. 162-167). Elsevier. https://doi.org/10.1016/j.ifacol.2024.08.067

Rong, L., Kristensen, J. K., Jung, S., Zhang, G., Kobek-Kjeldager, C., Thodberg, K., Foldager, L. & Herskin, M. S. (2024). Air temperature measured by embedded sensors adopted by pig transporting vehicles in a scaled compartment model. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 783-783). Article Session 70, Poster 13 Wageningen Academic Publishers.

Lee, L. H., Braud, T., Zhou, P. Y., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C. & Hui, P. (2024). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. Foundations and Trends in Human-Computer Interaction, 18(2-3), 100-337. https://doi.org/10.1561/1100000095

Hallerstede, S. & Hatcliff, J. (2024). A Mechanized Semantics for Component-Based Systems in the HAMR AADL Runtime. In J. Cámara & S.-S. Jongmans (Eds.), Formal Aspects of Component Software: 19th International Conference, FACS 2023, Virtual Event, October 19-20, 2023, Revised Selected Papers (1 ed., pp. 45-64). Springer. https://doi.org/10.1007/978-3-031-52183-6_3

Mahto, K. K., Mahato, B., Chandan, B., Das, D., Das, P., Kumari, S., Vita, V., Pavlatos, C. & Fotis, G. (2024). A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components. Technologies, 12(6), Article 90. https://doi.org/10.3390/technologies12060090

Hurst, A. (2024). Analytics Directly on Compressed IoT Data. Aarhus University.

Shahgholian, G. & Fathollahi, A. (2024). Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System. AppliedMath, 4(2), 452-467. https://doi.org/10.3390/appliedmath4020024

Christensen, L. T. B., Straadt, D., Vassis, S., Lillelund, C. M., Stoustrup, P. B., Pauwels, R., Pedersen, T. K. & Pedersen, C. F. (2024). An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis. (pp. 1-4). https://arxiv.org/abs/2405.01617#

Todnem Bach Christensen, L., Straadt, D., Vassis, S., Lillelund, C. M., Stoustrup, P. B., Pauwels, R., Pedersen, T. K. & Pedersen, C. F. (2024). An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from Juvenile Idiopathic Arthritis. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA (pp. 1-4). IEEE. https://doi.org/10.1109/EMBC53108.2024.10781771

Grombacher, D., Griffiths, M. P., Kass, M. A. & Larsen, J. J. (2024). An investigation of factors affecting the depths of steady-state surface nuclear magnetic resonance signals. Geophysics, 89(2), J9-J17. https://doi.org/10.1190/geo2023-0068.1

Khare, S. K., McLachlan, P., Maurya, P. K. & Larsen, J. J. (2024). An optimized and hybrid gating scheme for the suppression of very low-frequency radios in transient electromagnetic systems. Geoscientific Instrumentation, Methods and Data Systems, 13(1), 27-41. https://doi.org/10.5194/gi-13-27-2024

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

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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