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

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), [86]. https://doi.org/10.3390/fi15030086

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. Communications in Computer and Information Science Vol. 1799 https://doi.org/10.1007/978-3-031-29548-5_13

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), [ezad143]. https://doi.org/10.1093/ejcts/ezad143

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

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, [121233]. https://doi.org/10.1016/j.apenergy.2023.121233

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

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

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, [104347]. https://doi.org/10.1016/j.robot.2022.104347

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, [106676]. https://doi.org/10.1016/j.compbiomed.2023.106676

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, [987578]. https://doi.org/10.3389/fnins.2023.987578

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A. (2023). Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognition, 141, [109604]. 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, [104496]. https://doi.org/10.1016/j.bspc.2022.104496

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

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

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. [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. Lecture Notes in Computer Science (LNCS) Vol. 13807 https://doi.org/10.1007/978-3-031-25082-8_2

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

Eriksen, T. & Rehman, N. U. (2023). Data-driven nonstationary signal decomposition approaches: a comparative analysis. Scientific Reports, 13(1), [1798]. https://doi.org/10.1038/s41598-023-28390-w

Pauwels, R. & Iosifidis, A. (2023). Deep Learning in Image Processing - Part 1: Types of Neural Networks, Image Segmentation.

Pauwels, R. & Iosifidis, A. (2023). Deep Learning in Image Processing – Part 2: Image Enhancement, Reconstruction and Registration.

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). https://doi.org/10.3390/designs7010025

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), [1256]. https://doi.org/10.3390/app13031256

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, [106149]. https://doi.org/10.1016/j.nbd.2023.106149

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.

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, [113280]. https://doi.org/10.1016/j.rser.2023.113280

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

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

Schranz, T., Exenberger, J., Legaard, C. M., Drgona, J. & Schweiger, G. (2023). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. In Proceedings of Building Simulation 2021: 17th Conference of IBPSA (pp. 3268 - 3275). International Building Performance Association (IBPSA). https://doi.org/10.26868/25222708.2021.30806

Far Brusatori, M. (2023). Engineering Optical Feedback for Stable Diode Laser Performance. Aarhus University.

Abdolmaleki, H. (2023). Enhancement of Electrical Properties of Inkjet Printed Fluoropolymer Films through Functional Fillers. Aarhus Universitet.

Kakavandi, F. & Larsen, P. G. (2023). Explainable Product Quality Assessment in a Medical Device Assembly Pilot Line. In 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 271-275). IEEE. https://doi.org/10.1109/ICCMA56665.2022.10011621

Mohseni, S-R., Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology. Transactions of the Institute of Measurement and Control, 45(4), 661-673. https://doi.org/10.1177/01423312221119635

Honoré, J. T., Rask, R. D. & Wagner, S. R. (2023). Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors. 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. 3-16). Springer. Communications in Computer and Information Science Vol. CCIS No. 1799 https://doi.org/10.1007/978-3-031-29548-5_1

Sohrab, F., Iosifidis, A., Gabbouj, M. & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, [108999]. https://doi.org/10.1016/j.patcog.2022.108999

Radmanesh, H., Maalandish, M., Pourjafar, S. & Khooban, M. H. (2023). High step-up MIMO DC–DC power converter control-based pole placement. International Journal of Circuit Theory and Applications, 51(3), 1313-1331. https://doi.org/10.1002/cta.3469

Kamari, A. & Schultz, C. P. L. (2023). How can LCA inform early-stage design to meet Danish regulations? The sustainability opportunity metric. In E. Hjelseth, S. F. Sujan & R. J Scherer (Eds.), ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway. (Vol. 1, pp. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-427, https://doi.org/10.1201/9781003354222-4

Gheisarnejad Chirani, M., Mosayebi, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2023). Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case Study. In Electric Transportation Systems in Smart Power Grids (pp. 473-492). CRC Press. https://doi.org/10.1201/9781003293989

Amariei, G., Henriksen, M. L., Friis, J. B., Pedersen, P. K. & Hinge, M. (2023). In-line identification of Pb-based pigments in fishing nets and ropes based on hyperspectral imaging and machine learning. Marine Pollution Bulletin, 191, [114910]. https://doi.org/10.1016/j.marpolbul.2023.114910

Abdolmaleki, H., Astri Bjørnetun Haugen, A., Buhl, K. B., Daasbjerg, K. & Agarwala, S. (2023). Interfacial Engineering of PVDF‐TrFE toward Higher Piezoelectric, Ferroelectric, and Dielectric Performance for Sensing and Energy Harvesting Applications. Advanced Science, 10(6), [2205942]. https://doi.org/10.1002/advs.202205942

Kumar, R. R., Nielsen, L., Volet, N. & Heck, M. (2023). Intra-cavity coherent combining of DBR lasers on an InP generic foundry platform. Optics Letters, 48(7), 1614-1617. https://doi.org/10.1364/OL.483889

Mortensen, A. K., Hansen, A. L. & Gislum, R. (2023). Kamera og kunstig intelligens til vurdering af sygdomstryk i sukkerroer. In NBR Faglig beretning 2022 (pp. 53-56) https://www.nordicbeet.nu/wp-content/uploads/2023/02/nbr_aarsberetning_2022.pdf

Islam, M. T., Khan, H. A., Naveed, K., Nauman, A., Gulfam, S. M. & Kim, S. W. (2023). LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images. Electronics, 12(8), [1786]. https://doi.org/10.3390/electronics12081786

Kuldeep, G. & Zhang, Q. (2023). Lightweight electrocardiogram signal compression. Biomedical Signal Processing and Control, 85, [105012]. https://doi.org/10.1016/j.bspc.2023.105012

Jørgensen, S. D., Kidmose, P., Mikkelsen, K., Blech, M., Hemmsen, M. C., Rank, M. L. & Kjaer, T. W. (Accepted/In press). Long-term ear-EEG monitoring of sleep – A case study during shift work. Journal of Sleep Research. https://doi.org/10.1111/jsr.13853

Ronchini, M. (2023). Low Power IC Implementation of Spiking Neural Networks for Implantable Neuromorphic Chips. Aarhus Universitet.

Khezri, R., Razmi, P., Mahmoudi, A., Bidram, A. & Khooban, M. H. (2023). Machine Learning-based Sizing of a Renewable-Battery System for Grid-Connected Homes with Fast-Charging Electric Vehicle. IEEE Transactions on Sustainable Energy, 14(2), 837-848. https://doi.org/10.1109/TSTE.2022.3227003

Oshnoei, S., Fathollahidehkordi, A., Oshnoei, A. & Khooban, M. H. (2023). Microgrid Frequency Regulation Based on a Fractional Order Cascade Controller. Fractal Fractional. https://www.mdpi.com/2504-3110/7/4/343

Hageman, K., Feal, A., Gamba, J., Girish, A., Bleier, J., Lindorfer, M., Tapiador, J. & Vallina-Rodriguez, N. (2023). Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem. IEEE Transactions on Software Engineering, 49(4), 2964-2979. https://doi.org/10.1109/TSE.2023.3236582

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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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