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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Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2023). Accurate detection and identification of insects from camera trap images with deep learning. PLOS Sustainability and Transformation, 2(3). https://doi.org/10.1371/journal.pstr.0000051

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

Tajalli , S. Z. & Khooban, M. H. (2023). A Cloud-Edge-Based Framework for Electric Vehicle Emergency Energy Trading. Inventions, 8(1), Article 27. https://doi.org/10.3390/inventions8010027

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2023). Adaptive Fuzzy Q-Learning Control Design and Application to Grid-Tied Nine-level Packed E-Cell (PEC9) Inverter. IEEE Transactions on Industrial Electronics, 70(1), 1071-1076. https://doi.org/10.1109/TIE.2022.3153803

Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R., Andresen, B. & Khooban, M. H. (2023). Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. https://doi.org/10.1109/TETCI.2022.3181159

Khare, S. K. & Acharya, U. R. (2023). Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals. Knowledge-Based Systems, 278, Article 110858. https://doi.org/10.1016/j.knosys.2023.110858

Frasheri, M., Ejersbo, H., Thule, C., Gomes, C., Kvistgaard, J. L., Larsen, P. G. & Esterle, L. (2023). Addressing time discrepancy between digital and physical twins. Robotics and Autonomous Systems, 161, Article 104347. https://doi.org/10.1016/j.robot.2022.104347

Taheri, M., Chen, Y., Zhang, C., Berardehi, Z. R., Roohi, M. & Khooban, M. H. (2023). A finite-time sliding mode control technique for synchronization chaotic fractional-order laser systems with application on encryption of color images. Optik, 285, Article 170948. https://doi.org/10.1016/j.ijleo.2023.170948

Lehmann, A., Trolle, D. & Nielsen, A. (2023). A global webservice to generate SWAT+ hourly and daily input climate files from ERA5 reanalysis data. Abstract from 2023 Denmark SWAT Conference, Aarhus, Denmark.

Carlson Hanse, L., Tjørnild, M. J., Karunanithi, Z., Jedrzejczyk, J. H., Islamagič, L., Hummelshøj, N. E., Enevoldsen, M., Johansen, P., Lauridsen, M. H. & Hjortdal, V. E. (2023). A handsewn pericardial valved pulmonary conduit: pulsatile flow loop in vitro and acute porcine in vivo evaluation. European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 63(4), Article ezad143. Advance online publication. https://doi.org/10.1093/ejcts/ezad143

Waheed, H., Akram, W., Islam, S. U., Hadi, A., Boudjadar, J. & Zafar, N. (2023). A Mobile-Based System for Detecting Ginger Leaf Disorders Using Deep Learning. Future Internet, 15(3), Article 86. https://doi.org/10.3390/fi15030086

Alilou, S. M., Maalandish, M., Samadian, A., Abolhassani, P., Hosseini, S. H. & Khooban, M. H. (2023). A new high step-up DC-DC converter using voltage lift techniques suitable for renewable applications. CSEE Journal of Power and Energy Systems. https://ieeexplore.ieee.org/abstract/document/10058880

Khare, S. K. & Acharya, U. R. (2023). An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals. Computers in Biology and Medicine, 155, Article 106676. https://doi.org/10.1016/j.compbiomed.2023.106676

Oshnoei, S., Aghamohammadi, M. R., Oshnoei , S., Sahoo, S., Fathollahidehkordi, A. & Khooban, M. H. (2023). A novel virtual inertia control strategy for frequency regulation of islanded microgrid using two-layer multiple model predictive control. Applied Energy, 343, Article 121233. https://doi.org/10.1016/j.apenergy.2023.121233

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

Khare, S. K., March, S., Barua, P. D., Gadre, V. M. & Acharya, U. R. (2023). Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade. Information Fusion, 99, Article 101898. https://doi.org/10.1016/j.inffus.2023.101898

Tabar, Y. R., Mikkelsen, K. B., Shenton, N., Kappel, S. L., Nikbakht, R., Toft, H. O., Henriksen, C. H., Hemmsen, M. C., Rank, M. L., Otto, M. & Kidmose, P. (2023). At-home sleep monitoring using generic ear-EEG. Frontiers in Neuroscience, 17, Article 987578. https://doi.org/10.3389/fnins.2023.987578

Pedersen, L., Wagner, S., Skov, H. & Sandager, P. (2023). A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation. In G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (Eds.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (pp. 189-199). Springer. https://doi.org/10.1007/978-3-031-29548-5_13

Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-based Feature Compression for CNN Inference Offloading in Edge Computing. In arXIV https://doi.org/10.48550/arXiv.2211.13745 Focus to learn more

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A. (2023). Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognition, 141, Article 109604. https://doi.org/10.1016/j.patcog.2023.109604

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A. (2023). Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. In Pattern Recognition (Vol. 141, pp. 109604). Elsevier. https://doi.org/10.1016/j.patcog.2023.109604

Borup, K., Kidmose, P., Phan, H. & Mikkelsen, K. (2023). Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data. Biomedical Signal Processing and Control, 81, Article 104496. https://doi.org/10.1016/j.bspc.2022.104496

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. Advance online publication. https://doi.org/10.1049/pel2.12486

Robinson, C., Akerkar, R., Aouada, D., Bagnato, A., Györffi, M., Henshaw, M., Larsen, P. G., Hernandez, C., Macedo, H. D., Pastrone, C., Popov, P., Sassanelli, C., Völp, M. & Weyer, T. (2023). Bridging the stakeholder communities that produce cyber-physical systems. In M. Duranton, K. De Bosschere, B. Coppens, C. Gamrat, M. Gray, T. Hoberg, H. Munk, C. Robinson, T. Vardanega & O. Zendra. (Eds.), HiPEAC Vision 2023: High Peformance Embedded Architecture and Compilation (pp. 32-43) https://doi.org/10.5281/zenodo.7462013

Mousaei, A., Gheisarnejad, M. & Khooban, M. H. (2023). Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review. Journal of Energy Storage, 73, Article 108860. https://doi.org/10.1016/j.est.2023.108860

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

Benhassen, L. L., Hedensted, J. H., Sharghbin, M., Bechsgaard, T., Nielsen, S. L., Hasenkam, J. M. & Johansen, P. (2023). Comparison of aortic valve repair techniques with single- and double-ring annuloplasties. European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 63(5). https://doi.org/10.1093/ejcts/ezad164

Agerskov, J., Nielsen, K. & Pedersen, C. F. (2023). Computationally Efficient Labeling of Cancer-Related Forum Posts by Non-Clinical Text Information Retrieval. SN Computer Science, 4, Article 711. https://doi.org/10.1007/s42979-023-02244-8

Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B., Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023). Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Computing Surveys, 55(11), 1-34. Article 236. https://doi.org/10.1145/3567591

Hedegaard, L. & Iosifidis, A. (2023). Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. In L. Karlinsky, T. Michaeli & K. Nishino (Eds.), Computer Vision – ECCV 2022 Workshops, Proceedings (pp. 21-34). Springer. https://doi.org/10.1007/978-3-031-25082-8_2

Esfahani, Z. (2023). Control-Oriented Electrochemical Model and Parameter Estimation for an All-Copper Redox Flow Battery. Batteries, 9(5), Article 272. https://doi.org/10.3390/batteries9050272

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

Alfalouji, Q., Schranz, T., Falay, B., Wilfling, S., Exenberger, J., Mattausch, T., Gomes, C. & Schweiger, G. (2023). Co-simulation for buildings and smart energy systems — A taxonomic review. Simulation Modelling Practice and Theory, 126, Article 102770. https://doi.org/10.1016/j.simpat.2023.102770

Naseri, F., Kazemi, Z., Larsen, P. G., Arefi, M. M. & Schaltz, E. (2023). Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects. Batteries, 9(7), Article 382. https://doi.org/10.3390/batteries9070382

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

Amarloo, A., Cinnella, P., Iosifidis, A., Forooghi, P. & Abkar, M. (2023). Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector. Physics of Fluids, 35(7), Article 075154. https://doi.org/10.1063/5.0160977

Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2023). Deduplication of Textual Data by NLP Approaches. In IEEE 97th Vehicular Technology Conference (VTC2023-Spring) IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199538

Jacobsen, R. H., Matlekovic, L., Shi, L., Malle, N., Ayoub, N., Hageman, K., Hansen, S., Nyboe, F. F. & Ebeid, E. (2023). Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure. Applied Sciences (Switzerland), 13(3), Article 1256. https://doi.org/10.3390/app13031256

Naseri, F., Karimi, S., Farjah, E. & Setoodeh, P. (2023). Design of a Recommender System with Safe Driving Mode Based on State-of-Function Estimation in Electric Vehicle Drivetrains with Battery/Supercapacitor Hybrid Energy Storage System. Designs, 7(1), Article 25. https://doi.org/10.3390/designs7010025

Gheisarnejad Chirani, M., Sharifzadeh, M., S. Sadabadi , M., Portillo, R., Khooban, M. H., Franquelo, L. G. & Al-Haddad, K. (2023). Design of Ultra-Local Model Control Based on Interval Type-2 Fuzzy Logic for Nine-Packed E-Cell. IEEE Journal of Emerging and Selected Topics in Industrial Electronics. https://doi.org/10.1109/JESTIE.2023.3310404

Jakobsen, M. O., Herskind, E. S., Pedersen, C. F. & Knudsen, M. B. (2023). Detecting insufficient lubrication in rolling bearings, using a low cost MEMS microphone to measure vibrations. Mechanical Systems and Signal Processing, 200, Article 110553. https://doi.org/10.1016/j.ymssp.2023.110553

Musaeus, C. S., Frederiksen, K. S., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hribljan, M. C., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Kjær, T. W. (2023). Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring. Neurobiology of Disease, 183, Article 106149. https://doi.org/10.1016/j.nbd.2023.106149

Fernández Khatiboun, D., Sadeghi, M., Rezaeiyan, Y. & Moradi, F. (2023). Digital Hardware Implementation of ReSuMe Learning Algorithm for Spiking Neural Networks. IEEE EMBC 2023.

Talasila, P., Gomes, C., Mikkelsen, P. H., Arboleda, S. G., Kamburjan, E. & Larsen, P. G. (2023). Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users.

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

Naseri, F., Gil Arboleda, S., Barbu, C., Cetkin, E., Yarimca, G., Jensen, A. C., Larsen, P. G. & Gomes, C. (2023). Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms. Renewable and Sustainable Energy Reviews, 179, Article 113280. https://doi.org/10.1016/j.rser.2023.113280

Asif, M. R., Foged, N., Bording, T. S., Larsen, J. J. & Christiansen, A. V. (2023). DL-RMD: a geophysically constrained electromagnetic resistivity model database for deep learning applications. Earth System Science Data, 15(3), 1389-1401. https://doi.org/10.5194/essd-2022-345, https://doi.org/10.5194/essd-15-1389-2023

Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. Aarhus Universitet.

Li, N. (2023). Edge AI for Time-critical Internet-of-things. Aarhus University.

Pham, X. H. (2023). Efficient deep learning-based monocular 3D perception for agile robot navigation. Aarhus Universitet.

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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

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Get a copy of the AU Engineering Profile 2022

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Revised 10.08.2023

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