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. 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

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

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

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

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

Fehér, M. (2023). On Compression for the Complete IoT Data Lifecycle: From Collection to Analytics. Aarhus Universitet.

Khooban, M. H. (2023). Smartenance DC-DC On-Board Power Converters. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(1), 191-195. https://doi.org/10.1109/TCSII.2022.3206230

Heidary, J., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Stability Enhancement and Energy Management of AC-DC Microgrid based on Active Disturbance Rejection Control. Electric Power Systems Research. https://doi.org/10.1016/j.epsr.2022.109105

Larsen, E. L., Espelund, U., Lauritsen, S. M., Thiesson, B., Lange, J., Friis Kjeldsen, G. & Jørgensen, M. J. (2022). +Priokritisk. Early identification of clinical detorioriation among hospitalized patients by explainable AI. Poster session presented at Symposium on Artificial Intelligence for Learning Health Systems.

Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A., Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022). 3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Computers & Geosciences, 159, [105017]. https://doi.org/10.1016/j.cageo.2021.105017

Oleksiienko, I. & Iosifidis, A. (2022). 3D object detection and tracking. In A. Iosifidis & A. Tefa (Eds.), Deep Learning for Robot Perception and Cognition (pp. 313-340). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00018-X

Kumar, R. R., Hänsel, A., Far Brusatori, M., Nielsen, L., Augustin, L., Volet, N. & Heck, M. (2022). A 10-kHz intrinsic linewidth coupled extended-cavity DBR laser monolithically integrated on an InP platform. Optics Letters, 47(9), 2346-2349 . https://doi.org/10.1364/OL.454478

Ghanatian, H., Farkhani, H., Rezaeiyan, Y., Bohnert, T., Ferreira, R. & Moradi, F. (2022). A 3-Bit Flash Spin-Orbit Torque (SOT)-Analog-to-Digital Converter (ADC). IEEE Transactions on Electron Devices, 69(4), 1691-1697. https://doi.org/10.1109/TED.2022.3142649

Kamari, A., Kotula, B. M. & Schultz, C. P. L. (2022). A BIM-based LCA tool for sustainable building design during the early design stage. Smart and Sustainable Built Environment, 11(2), 217-244. https://doi.org/10.1108/SASBE-09-2021-0157

Ronchini, M., Zamani, M., Huynh, H. A., Rezaeiyan, Y., Panuccio, G., Farkhani, H. & Moradi, F. (2022). A CMOS-based neuromorphic device for seizure detection from LFP signals. Journal of Physics D: Applied Physics, 55(1), [014001]. https://doi.org/10.1088/1361-6463/ac28bb

Pianini, D., Pettinari, F., Casadei , R. & Esterle, L. (2022). A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems. ACM Transactions on Autonomous and Adaptive Systems, 17(1-2), 1-39. https://doi.org/10.1145/3547145

Jensen, F., Hassan, A. & Bazzi, A. (2022). A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives. Paper presented at IEEE Energy Conversion Congress and Expo (ECCE 2022), Detroit, Michigan, United States. https://doi.org/10.1109/ECCE50734.2022.9947433

Ghanatian Najafabadi, H., Farkhani, H. & Moradi, F. (2022). A Hybrid Spin-CMOS Flash ADC based on Spin Hall Effect and Spin Transfer Torque. Paper presented at IEEE International Conference on Computer Design, United States. https://doi.org/10.1109/ICCD56317.2022.00107

Asif, M. R., Bording, T. S., Maurya, P. K., Zhang, B., Fiandaca, G., Grombacher, D. J., Christiansen, A. V., Auken, E. & Larsen, J. J. (2022). A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data. IEEE Transactions on Geoscience and Remote Sensing, 60, [4503610]. https://doi.org/10.1109/TGRS.2021.3076121

Rezaei, M. A., Nayeripour, M., Hu, J., S. Band, S., Mosavi, A. H. & Khooban, M. H. (2022). A New Hybrid Cascaded Switched-Capacitor Reduced Switch Multilevel Inverter for Renewable Sources and Domestic Loads. IEEE Access, 10, 14157-14183. https://doi.org/10.1109/ACCESS.2022.3146256

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2022). A New Passivity Preserving Model Order Reduction Method: Conic Positive Real Balanced Truncation Method. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(5), 2945-2953. https://doi.org/10.1109/TSMC.2021.3057957

Tøttrup, D., Skovgaard, S. L., Sejersen, J. L. F. & de Figueiredo, R. P. (2022). A Real-Time Method for Time-to-Collision Estimation from Aerial Images. Journal of Imaging, 8(3), [62]. https://doi.org/10.3390/jimaging8030062

Kulik, T., Dongol, B., Larsen, P. G., Macedo, H. D., Schnieder, S., Tran-Jørgensen, P. W. V. & Woodcock, J. (2022). A Survey of Practical Formal Methods for Security. Formal Aspects of Computing, 34(1), [3522582]. https://doi.org/10.1145/3522582

Kamari, A. & Schultz, C. P. L. (2022). A combined principal component analysis and clustering approach for exploring enormous renovation design spaces. Journal of Building Engineering , 48, [103971]. https://doi.org/10.1016/j.jobe.2021.103971

Mokarram, M., Pham, T. M. & Khooban, M. H. (2022). A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant. Environmental Science and Pollution Research, 29(56), 84661-84674. https://doi.org/10.1007/s11356-022-21734-5

Shi, L. & Jacobsen, R. H. (2022). A method for controlling a plurality of uavs. (Patent No. WO2022029158A1). https://patents.google.com/patent/WO2022029158A1

Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, [e00331]. https://doi.org/10.1016/j.ohx.2022.e00331

Sohrabzadi, E., Gheisarnejad Chirani, M., Esfahani, Z. & Khooban, M. H. (2022). A novel intelligent ultra-local model control-based type-II fuzzy for frequency regulation of multi-microgrids. Transactions of the Institute of Measurement and Control, 44(5), 1134-1148. https://doi.org/10.1177/01423312211043060

Rouhi Ardeshiri, R., Gheisarnejad Chirani, M., Tavana, M. R., Vafamand, N. & Khooban, M. H. (2022). A robust intelligent controller-based motion control of a wheeled mobile robot. Transactions of the Institute of Measurement and Control, 44(15), 2911-2918. https://doi.org/10.1177/01423312221088389

Kass, M. A., Grombacher, D., Griffiths, M., Vang, M. Ø., Liu, L. & Larsen, J. J. (2022). A steady-state approach to surface nuclear magnetic resonance. In Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP (pp. 54). J and N Group, Ltd.. Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP https://www.eegs.org/assets/docs/Symposium/2022SAGEEP/AbstractsbyAuthor/Kass%2C%20A%20STEADY-STATE%20APPROACH%20TO%20SURFACE%20NUCLEAR%20MAGNETIC%20RESONANCE%20-%20SAGEEP%202022%20-%20205367449.pdf

Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J. & Khooban, M. H. (2022). A type-2 fuzzy control for active/reactive power control and energy storage management. Transactions of the Institute of Measurement and Control, 44(5), 1014-1028. https://doi.org/10.1177/01423312211048038

Liu, Z., Liang, J., Zhang, S. & Kayacan, E. (2022). ANN-Based vibration control of an aerial refueling hose system with input nonlinearity and prescribed output constraint. Journal of the Franklin Institute, 359(6), 2627-2645. https://doi.org/10.1016/j.jfranklin.2022.01.006

Madsen, E., Tola, D., Hansen, C., Gomes, C. & Larsen, P. G. (2022). AURT: A Tool for Dynamics Calibration of Robot Manipulators. In 2022 IEEE/SICE International Symposium on System Integration (SII) (pp. 190-195). IEEE. https://doi.org/10.1109/SII52469.2022.9708769

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2022). Accurate detection and identification of insects from camera trap images with deep learning. bioRxiv. https://doi.org/10.1101/2022.10.25.513484

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, [e13837]. https://doi.org/10.7717/peerj.13837

Rezaei, M. A., Fathollahidehkordi, A., Rezaei, S., Hu, J., Gheisarnejad Chirani, M., Teimouri, A. R., Sharma, R., Mosavi, A. H. & Khooban, M. H. (2022). Adaptation of A Real-Time Deep Learning Approach with An Analog Fault Detection Technique for Reliability Forecasting of Capacitor Banks Used in Mobile Vehicles. IEEE Access, 10, 132271-132287. https://doi.org/10.1109/ACCESS.2022.3228916

Rask, J. K., Madsen, F. P., Battle, N., Freitas, L., Macedo, H. D. & Larsen, P. G. (2022). Advanced VDM Support in Visual Studio Code. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 34-49) https://doi.org/10.48550/arXiv.2208.10233

Khare, S. K., Gaikwad, N. & Bokde, N. D. (2022). An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets. Sensors (Switzerland), 22(21), [8128]. https://doi.org/10.3390/s22218128

Mosayebi, M., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). An intelligent sliding mode control for stabilization of parallel converters feeding CPLs in DC-microgrid. IET Power Electronics, 15(14), 1596-1606. https://doi.org/10.1049/pel2.12329

Ruf, F., Nielsen, L., Volet, N. & Heck, M. (2022). Analysis and Design of Low-Loss and Fast All-Optical Switch Elements on Silicon Nitride for Integrated Quantum Photonics. Journal of Lightwave Technology, 40(23), 7598-7609. https://doi.org/10.1109/JLT.2022.3213445

Bakhtiarnia, A., Leporowski, B., Esterle, L. & Iosifidis, A. (2022). Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. In 2022 IEEE International Smart Cities Conference (ISC2) IEEE. https://doi.org/10.1109/ISC255366.2022.9921939

Tran, D. T., Passalis, N., Tefas, A., Gabbouj, M. & Iosifidis, A. (2022). Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access, 10, 45542-45552. https://doi.org/10.1109/ACCESS.2022.3169776

Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2022). Author Correction: Photoplethysmography for demarcation of cutaneous squamous cell carcinoma (Scientific Reports, (2021), 11, 1, (21467), 10.1038/s41598-021-00645-4). Scientific Reports, 12(1), [3521]. https://doi.org/10.1038/s41598-022-06856-7

Potapenko, I., Thiesson, B., Kristensen, M., Hajari, J. N., Ilginis, T., Fuchs, J., Hamann, S. & la Cour, M. (2022). Automated artificial intelligence-based system for clinical follow-up of patients with age-related macular degeneration. Acta Ophthalmologica, 100(8), 927-936. https://doi.org/10.1111/aos.15133

Asif, M. R., Maurya, P. K., Foged, N., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Automated transient electromagnetic data processing for ground-based and airborne systems by a deep learning expert system. IEEE Transactions on Geoscience and Remote Sensing, 60, [5919814]. https://doi.org/10.1109/TGRS.2022.3202304

Mann, H. M. R., Iosifidis, A., Jepsen, J. U., Welker, J. M., Loonen, M. J. J. E. & Høye, T. T. (2022). Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning. Remote Sensing in Ecology and Conservation, 8(6), 765-777. https://doi.org/10.1002/rse2.275

Phan, H. & Mikkelsen, K. (2022). Automatic sleep staging of EEG signals: recent development, challenges, and future directions. Physiological measurement, 43(4), [04TR01]. https://doi.org/10.1088/1361-6579/ac6049

Ebeid, E. S. M., Jacobsen, R. H., Schenider-Kamp, P., Vom Bögel, G., Guzzini, P., Luminari, N., Casarotti, C., Mandirola, M., Taurino, D. & Del Sole, A. (2022). Autonomous Drones to Ensure Safety in Transport: Concept and Implementations. 1-9. Paper presented at SESAR Innovation days 2022, Budapest, Hungary, Hungary.

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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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Revised 06.09.2022

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