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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Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2021). Robust fast subclass discriminant analysis. In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1397-1401). Article 9287557 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287557

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). Robust channel-wise illumination estimation. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05681.pdf

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

Berntsen, J., Rimestad, J., Lassen, J. T., Tran, D. & Kragh, M. F. (2022). Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences. PLOS ONE, 17(2 ), Article e0262661. https://doi.org/10.1371/journal.pone.0262661

Bochtis, D., Sørensen, C. A. G., Jørgensen, R. N., Nørremark, M., Hameed, I. A. & Swain, K. C. (2011). Robotic weed monitoring. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 61(3), 202-208. https://doi.org/10.1080/09064711003796428

Tola, D., Gonçalves Gomes, C. Â., Schultz, C. P. L., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. In A. Soylu, A. T. Nezhad, N. Nikolov, I. Toma, A. Fensel & J. Vennekens (Eds.), Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021 CEUR-WS.org. http://ceur-ws.org/Vol-2956/paper12.pdf

Tola, D., Gomes, C., Schultz, C., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a domain model for industrial robot system configurators. CEUR Workshop Proceedings, 2956.

Frasheri, M., Ejersbo, H., Thule, C. & Esterle, L. (2021). RMQFMU: Bridging the Real World with Co-simulation For Practitioners. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 66-80) https://arxiv.org/pdf/2110.09371.pdf

Mukherjee, M., Kumar, V., Kumar, S., Mavromoustakis, C. X., Zhang, Q. & Guo, M. (2022). RIS-assisted Task Offloading for Wireless Dead Zone to Minimize Delay in Edge Computing. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 2554-2559). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001478

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

Brusatori, M. F. & Volet, N. (2021). Revised theory for the linewidth of diode lasers under external optical feedback. In V. S. Ilchenko, A. M. Armani, J. V. Sheldakova, A. V. Kudryashov & A. H. Paxton (Eds.), Laser Resonators, Microresonators, and Beam Control XXIII Article 1167211 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2583210

Shekar, S., Satpute, N. & Gupta, A. (2021). Review on diabetic retinopathy with deep learning methods. Journal of Medical Imaging, 8(6), Article 060901. https://doi.org/10.1117/1.JMI.8.6.060901

Niazi, K. A. K., Yang, Y. & Sera, D. (2019). Review of mismatch mitigation techniques for PV modules. IET Renewable Power Generation, 13(12), 2035-2050. https://doi.org/10.1049/iet-rpg.2019.0153

Kremer, T., Irons, T., Müller-Petke, M. & Juul Larsen, J. (2022). Review of Acquisition and Signal Processing Methods for Electromagnetic Noise Reduction and Retrieval of Surface Nuclear Magnetic Resonance Parameters. Surveys in Geophysics, 43(4), 999-1053. https://doi.org/10.1007/s10712-022-09695-3

Chumachenko, K., Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Rethinking compactness in deep neural networks. Paper presented at International Conference on Machine Learning Workshop on Overparameterization. https://drive.google.com/file/d/1pu5xJMPvKuGFeVCcylEvLz00uLK3UN9I/view

Heidari, N. (2022). Representation Learning for Graph-Structured Data Analysis. Århus Universitet.

Nørremark, M. & Grøn Sørensen, C. (2023). Report from the regional workshops: Deliverable 3.3 AgroFossilFree. Final Report on AFF regional workshops outcome.

Benhassen, L. L., Hedensted, J. H., Hasenkam, J. M. & Johansen, P. (2023). Reply to Jasinski et al. European Journal of Cardio-Thoracic Surgery, 64(3), ezad312. Article ezad312. https://doi.org/10.1093/ejcts/ezad312

Kjær, T. W., Rank, M. L., Hemmsen, M. C., Kidmose, P. & Mikkelsen, K. (2022). Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography. PLOS Digital Health, 1(10), Article e0000134. https://doi.org/10.1371/journal.pdig.0000134

Wang, X., Mukherjee, M., Kumar, V., Mavromoustakis, C. X., Shoufan, A., Guo, M. & Zhang, Q. (2023). Rendering Delay Minimization in RIS-assisted Edge Computing for IIoT with VR Streaming. In 2023 IEEE Globecom Workshops (GC Wkshps) (pp. 1319-1324). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465022

Larsen, J. J., Lévy, L. & Asif, M. R. (2022). Removal of powerline noise in geophysical data sets with a scientific machine-learning based approach. IEEE Transactions on Geoscience and Remote Sensing, 60, Article 5923410. https://doi.org/10.1109/TGRS.2022.3223737

Tran, D. T., Gabbouj, M. & Iosifidis, A. (2022). Remote Multilinear Compressive Learning with Adaptive Compression. IEEE Internet of Things Journal, 9(9), 6905-6913. https://doi.org/10.1109/jiot.2021.3114743

Jensen, M. H., Nazari, M., Gu, C., Rasmussen, M., Dyrskog, S. E., Simonsen, C. Z., Grønhøj, M. H., Rom Poulsen, F., Rehman, N. U. & Korshoej, A. R. (2023). Reliability and Performance of the IRRAflow® System for Intracranial Lavage and Evacuation of Hematomas - A Technical Note. https://doi.org/10.1101/2023.07.07.23292372

Haldrup, M., Nazari, M., Gu, C., Rasmussen, M., Dyrskog, S., Ziegler Simonsen, C., Grønhøj, M., Poulsen, F. R., Ur Rehman, N. & Rosendal Korshoej, A. (2024). Reliability and performance of the IRRAflow® system for intracranial lavage and evacuation of hematomas-A technical note. PLOS ONE, 19(4 April), Article e0297131. https://doi.org/10.1371/journal.pone.0297131

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Article 100475. https://doi.org/10.1016/j.taml.2023.100475

Abrial, J. R. & Hallerstede, S. (2007). Refinement, decomposition, and instantiation of discrete models: Application to event-B. Fundamenta Informaticae, 77(1-2), 1-28. https://dl.acm.org/doi/10.5555/2366448.2366450

Oda, T., Araki, K., Sahara, S., Chang, H.-M. & Larsen, P. G. (2021). Refactoring for Exploratory Specification in VDM-SL. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 21-35) https://arxiv.org/abs/2110.09371

Imanberdiyev, N. & Kayacan, E. (2020). Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 674-681). Article 9254702 IEEE. https://doi.org/10.1109/IECON43393.2020.9254702

Green, O., Lamandé, M., Schjønning, P., Sørensen, C. A. G. & Bochtis, D. (2011). Reducing the risk of soil compaction by applying "Jordværn Online"® when performing slurry distribution. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 61(3), 209-213. https://doi.org/10.1080/09064710.2010.490535

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

Mukherjee, M., Kumar, V., Kumar, S., Lloret, J., Zhang, Q. & Guo, M. (2021). Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. In 2021 IEEE Global Communications Conference (GLOBECOM) IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685374

Rafiei Foroushani, M., Tran, D. T. & Iosifidis, A. (2023). Recognition of Defective Mineral Wool Using Pruned ResNet Models. In H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (Eds.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10217993

Li, N., Iosifidis, A. & Zhang, Q. (2022). Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 4281-4286). IEEE. https://doi.org/10.1109/ICC45855.2022.9838547

Iqbal, S., Khan, T. M., Naveed, K., Naqvi, S. S. & Nawaz, S. J. (2022). Recent trends and advances in fundus image analysis: A review. Computers in Biology and Medicine, 151, Article 106277. https://doi.org/10.1016/j.compbiomed.2022.106277

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. https://doi.org/10.48550/arXiv.2109.01474

Bjerge, K., Mann, H. M. R. & Høye, T. T. (2022). Real-time insect tracking and monitoring with computer vision and deep learning. Remote Sensing in Ecology and Conservation, 8(3), 315-327. https://doi.org/10.1002/rse2.245

Hervella, C., Diez, L., Fernández, F., Marcano, N. J. H., Jacobsen, R. H. & Agüero, R. (2022). Realistic Assessment of Transport Protocols Performance over LEO-based Communications. In PE-WASUN '22: Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor & Ubiquitous Networks (pp. 91-98). Association for Computing Machinery. https://doi.org/10.1145/3551663.3558680

Talasila, P., Mikkelsen, P. H., Gil Arboleda, S. & Larsen, P. G. (2024). Realising Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 225-256). Springer. https://doi.org/10.1007/978-3-031-66719-0_11

Shi, L., Pantic, M., Andersson, O., Tognon, M., Siegwart, R. & Jacobsen, R. H. (2022). Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 (pp. 3384-3391). IEEE. https://doi.org/10.1109/IROS47612.2022.9981658

Bogomolov, S., Gomes, C., Isasa, C., Soudjani, S., Stankaitis, P. & Wright, T. (2025). Reachability analysis of FMI models using data-driven dynamic sensitivity. Simulation, 101(5), 575-596. https://doi.org/10.1177/00375497241261409

Rask, C. D. & Lucani Rötter, D. E. (2024). RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. In 2024 IEEE International Conference on Image Processing, ICIP 2024: Proceedings (pp. 1987-1993). IEEE. https://doi.org/10.1109/ICIP51287.2024.10647293

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

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.

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

Reese, F. S., Amariei, G., Henriksen, M. L., Klarskov, P. & Hinge, M. (2025). Quantitative identification of melamine flame retardant in polyolefins with hyperspectral imaging and machine learning. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 333, Article 125870. https://doi.org/10.1016/j.saa.2025.125870

Deantoni, J., Muñoz, P., Gomes, C., Verbrugge, C., Mittal, R., Heinrich, R., Bellis, S. & Vallecillo, A. (2025). Quantifying and combining uncertainty for improving the behavior of Digital Twin Systems. Automatisierungstechnik: AT, 73(2), 81-99. https://doi.org/10.1515/auto-2024-0036

Johansen, P. (2004). Quantification of Cavitation in the Vicinity of Mechanical Heart Valves.

Amariei, G., Henriksen, M. L., Klarskov, P. & Hinge, M. (2024). Quantification of aluminium trihydrate flame retardant in polyolefins via in-line hyperspectral imaging and machine learning for safe sorting. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 311, Article 123984. https://doi.org/10.1016/j.saa.2024.123984

Hallerstede, S. & Hoang, T. S. (2007). Qualitative probabilistic modelling in Event-B. In Integrated Formal Methods - 6th International Conference, IFM 2007, Proceedings (pp. 293-312). Springer Verlag. https://doi.org/10.1007/978-3-540-73210-5_16

Jensen, R. I. T. & Iosifidis, A. (2023). Qualifying and raising anti-money laundering alarms with deep learning. Expert Systems with Applications, 214, Article 119037. https://doi.org/10.1016/j.eswa.2022.119037

Displaying results 251 to 300 out of 1146

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