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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Banhazi, T., Banhazi, A., Tikasz, I. E., Palotay, S., Mallimger, K., Neubauer, T., Corpaci, L., Marchaim, U., Kopler, I., Opalinski, S., Olejnik, K., Kokin, E., Gunnarsson, S., Bjerre, T. & Soerensen, C. (2024). Facilitating PLF Technology Adoption in the Pig and Poultry Industries. Studies in Agricultural Economics, 126(1), 43-49. https://doi.org/10.7896/j.2725

Macedo, H. D., Sassanelli, C., Larsen, P. G. & Terzi, S. (2021). Facilitating model-based design of cyber-manufacturing systems. Procedia CIRP, 104, 1936-1941. https://doi.org/10.1016/j.procir.2021.11.327

Liu, H., Yang, Y., Wu, Q., He, B., Liao, Y. & Zhou, P. (2024). FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning. In 2024 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN60899.2024.10649939

Merhi, Y. & Agarwala, S. (2022). Fabrication of flexible, and bioresorbable poly-l-lactide acid piezoelectric material with tunable properties. Materials Today: Proceedings, 70, 531-534. https://doi.org/10.1016/j.matpr.2022.09.553

Mørup, C., Kloborg, A. & Lucani Rötter, D. E. (2022). Extreme Bitmapping: Efficiently Sorting Data for Cloud Compression. In 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (pp. 247-251). IEEE. https://doi.org/10.1109/CloudNet55617.2022.9978780

Vang, M. Ø., Grombacher, D., Larsen, J. J. & Christiansen, A. V. (2024). Extrapolating sparse SNMR data sets onto dense TEM coverage using spatially variable correlations. Abstract from AGU Fall meeting 2024, Washington DC, United States.

Arent, N. H., Far Brusatori, M. & Volet, N. (2020). Extraction of frequency noise spectral components from delayed self-heterodyne measurements of a laser. Abstract from European Semiconductor Laser Workshop 2020.

Far Brusatori, M. & Volet, N. (2022). External optical feedback engineered to reduce and stabilize the linewidth of diode lasers. In V. S. Ilchenko, A. M. Armani & J. V. Sheldakova (Eds.), Laser Resonators, Microresonators, and Beam Control XXIV Article 119870D SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2609616

Kulik, T., Talasila, P., Greco, P., Veneziano, G., Marguglio, A., Sutton, L. F., Larsen, P. G. & Macedo, H. D. (2021). Extending the Formal Security Analysis of the HUBCAP sandbox. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 36-50) https://arxiv.org/abs/2110.09371

Schultz, C. P. L. & Kamari, A. (2025). Exploring the renovation design space: A new iterative approach based on scenario distance metrics and resampling strategies. Building Simulation, 18(5). https://doi.org/10.1007/s12273-025-1267-1

Bandaru, N., Reddy, C. V., Vallabhudasu, K., Vijayalakshmi, M., Raghava Reddy, K., Cheolho, B., Shim, J. & Aminabhavi, T. M. (2024). Exploring the potential of MXene nanohybrids as high-performance anode materials for lithium-ion batteries. Chemical Engineering Journal, 500, Article 157317. https://doi.org/10.1016/j.cej.2024.157317

Arabsalmani, N., Ghouchani, A., Jafarabadi Ashtiani, S. & Zamani, M. (2025). Exploring Bio-Impedance Sensing for Intelligent Wearable Devices. Bioengineering, 12(5), Article 521. https://doi.org/10.3390/bioengineering12050521

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2021). Exploiting DLMS/COSEM Data Compression To Learn Power Consumption Patterns. In 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021 (pp. 346-351). IEEE. https://doi.org/10.1109/SmartGridComm51999.2021.9632291

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

Chen, G., Kobek-Kjeldager, C., Jensen, L. D., Kristensen, J. K., Kaiser, M., Thodberg, K., Zhang, G., Rong, L., Herskin, M. S. & Foldager, L. (2024). Experimental study on temperature difference between the interior and exterior of the vehicle transporting weaner pigs. Biosystems Engineering, 247, 119-131. https://doi.org/10.1016/j.biosystemseng.2024.09.001

Sepehrzad, R., Ghafourian, J., Hedayatnia, A., Al-Durrad, A. & Khooban, M. H. (2023). Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control. Journal of Energy Storage, 74(Part A), Article 109282. https://doi.org/10.1016/j.est.2023.109282

Oakes, B. J., Gomes, C., Larsen, P. G., Denil, J., Deantoni, J., Cambeiro, J. & Fitzgerald, J. (2023). Examining Model Qualities and Their Impact on Digital Twins. In M. J. Blas & G. Alvarez (Eds.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 220-232). IEEE. https://ieeexplore.ieee.org/document/10155350

Andersen, K. F., Pham, H. X., Ugurlu, H. I. & Kayacan, E. (2022). Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network. In 2022 European Control Conference (ECC) (pp. 1342-1348). IEEE. https://doi.org/10.23919/ECC55457.2022.9838538

Villa-Henriksen, A., Edwards, G. T. C., Green, O. & Sørensen, C. A. G. (2021). Evaluation of grain quality-based simulated selective harvest performed by an autonomous agricultural robot. Agronomy, 11(9), Article 1728. https://doi.org/10.3390/agronomy11091728

Lebiecka-Johansen, P., Cabrera, A. F., Strøm, J., Mikkelsen, K., Elsborg Madsen, R., Dyhr Thomsen, M., Hansen, M., Engelhard Christensen, J., Hemmsen, M. & Kidmose, P. (2024). Evaluation of Ear-EEG based Automatic Sleep Staging Performance. Journal of Sleep Research, 33(S1), Article e14291. https://doi.org/10.1111/jsr.14291

Merhi, Y., Lozano Montero, K., Johansen, P., Mantysalo, M. & Agarwala, S. (2025). Evaluating Piezoelectric Performance of Biodegradable PLLA Film and Its Application for Aortic Annuloplasty. https://chemrxiv.org/engage/chemrxiv/article-details/677788f9fa469535b99d3829

Frasheri, M., Struhar, V., Papadopoulos, A. V. & Causevic, A. (2022). Ethics of Autonomous Collective Decision-Making: The Caesar Framework. Science and Engineering Ethics, 28(6), Article 61. https://doi.org/10.1007/s11948-022-00414-0

Strandberg, P. E., Frasheri, M. & Enoiu, E. P. (2021). Ethical AI-Powered Regression Test Selection. In 2021 IEEE International Conference on Artificial Intelligence Testing (AITest) (pp. 83-84). IEEE. https://doi.org/10.1109/AITEST52744.2021.00025

Fan, W., Haiyang, Y., Zhongda, Z., Xiaobo, Z., Yuzhang, Z. & Haiyan, W. (2025). ESTMST-ST: An End-to-End Soft Threshold and Multiloss Self-Distillation Based Swin Transformer for Underwater Acoustic Signal Recognition. IEEE Transactions on Geoscience and Remote Sensing, 63, Article 4200813. https://doi.org/10.1109/TGRS.2024.3520860

Amariei, G., Schaarup-Kjær, A. S., Klarskov, P., Henriksen, M. L. & Hinge, M. (2023). Estimation of pigment concentration in LDPE via in-line hyperspectral imaging and machine learning. Journal of Spectral Imaging, 12(a2). https://doi.org/10.1255/jsi.2023.a2

Lakshminarayanan, S., Duecker, D., Sarabakha, A., Ganguly, A., Takayama, L. & Haddadin, S. (2024). Estimation of External Force acting on Underwater Robots. In 2024 IEEE 20th International Conference on Automation Science and Engineering, CASE 2024 (pp. 3125-3131). IEEE. https://doi.org/10.1109/CASE59546.2024.10711608

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2024). Estimating Fuel Consumption of an Agricultural Robot by Applying Machine Learning Techniques during Seeding Operation. AgriEngineering, 6(1), 754-772. https://doi.org/10.3390/agriengineering6010043

Inci, E. O., Desmet, W., Gomes, C. & Croes, J. (2023). Error Estimators for Adaptive Scheduling Algorithm for Serial Co-Simulation. In M. J. Blas & G. Alvarez (Eds.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 73-83). IEEE. https://ieeexplore.ieee.org/document/10155365

Khare, S. K., Bajaj, V., Gaikwad, N. B. & Sinha, G. R. (2023). Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals. Sensors, 23(18), Article 7860. https://doi.org/10.3390/s23187860

Moradi, F. (2021). En hjernesag. Medicoteknik, 8(3), 3-3. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=2

Fathollahi, A. & Andresen, B. (2024). Enhancing Transient Stability in Multi-Machine Power Systems through a Model-Free Fractional-Order Excitation Stabilizer. Fractal and Fractional, 8(7), Article 419. https://doi.org/10.3390/fractalfract8070419

Sadat Parvini, T., Paz, E., Böhnert, T., Schulman, A., Benetti, L., Oberbauer, F., Walowski, J., Moradi, F., Ferreira, R. & Münzenberg, M. (2023). Enhancing spin-transfer torque in magnetic tunnel junction devices: Exploring the influence of capping layer materials and thickness on device characteristics. Journal of Applied Physics, 133(24), Article 243902. https://doi.org/10.1063/5.0151480

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(1), Article 1478. https://doi.org/10.1038/s41598-025-85243-4

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

Munshi, T. & Klarskov, P. (2021). Enhanced terahertz emission from semiconductor surfaces with gold nanorods. In L. P. Sadwick & T. Yang (Eds.), Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XIV SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2591167

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

Schranz, T., Exenberger, J., Legaard, C. M., Drgona, J. & Schweiger, G. (2022). Energy prediction under changed demand conditions: robust machine learning models and input feature combinations. In D. Saelens, J. Laverge, W. Boydens & L. Helsen (Eds.), BS 2021 - 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

Jurasz, J., Bochenek, B., Wieczorek, J., Jaczewski, A., Kies, A. & Figurski, M. (2025). Energy potential and economic viability of small-scale wind turbines. Energy, 322, Article 135608. https://doi.org/10.1016/j.energy.2025.135608

Hassan Hire, J., Agianniotis, N., Kofoed, B. P. & Moradi, F. (2022). Energy Harvesting In Immersed Tunnel For Powering Wireless Sensor Nodes For Corrosion Monitoring. I E E E Sensors Journal, 22(10), 9892-9903. https://doi.org/10.1109/JSEN.2022.3165659

Kristensen, E. F. & Kristensen, J. K. (2022). Energy efficient straw boiler with low nox emission. In 30th European Biomass Conference and Exhibition (pp. 657-661)

Shafaghi, P., Dolatshahi, M. & Farkhani, H. (2023). Energy-efficient spintronic based neuromorphic computing system using current mode track and termination circuit. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(9), 2915-2923. https://doi.org/10.1109/TCAD.2023.3238879

Beck, M. M., Boudjadar, J. & Chougui, Y. (2021). Energy Efficient Real-time Calibration of Wireless Sensor Networks for Smart Buildings. Paper presented at International Symposium on Intelligent and Autonomous Systems, Tallinn, Estonia.

Ruf, F., Nielsen, L., Volet, N. & Heck, M. (2023). Energy-Efficient Design of a Fast All-Optical Single-Photon Switch with Pre-Emphasis Pump Scheme. Paper presented at Conference on Laser and Electro-Optics (CLEO) , San Jose, California, United States.

Yazdani, N., Kouvelas, N., Prasad, R. V. & Lucani Rötter, D. E. (2021). Energy Efficient Data Recovery from Corrupted LoRa Frames. In 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685613

Rehman, Z. U., Hassan, U., Islam, S. U., Gallos, P. & Boudjadar, J. (2025). Energy-Efficient AI for Medical Diagnostics: Performance and Sustainability Analysis of ResNet and MobileNet. In Intelligent Health Systems – From Technology to Data and Knowledge (pp. 1225-1229). IOS Press. https://doi.org/10.3233/SHTI250585

Nisar, A., Dhull, S., Shreya, S. & Kaushik, B. K. (2022). Energy-Efficient Advanced Data Encryption System Using Spin-Based Computing-in-Memory Architecture. IEEE Transactions on Electron Devices, 69(4), 1736-1742. https://doi.org/10.1109/TED.2022.3150623

Kuldeep, G. & Zhang, Q. (2020). Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT. In 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings Article 9322181 IEEE. https://doi.org/10.1109/GLOBECOM42002.2020.9322181

Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2021: Proceedings Article 9484460 IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460

Agarwala, S. (2019). Enabling new possibilities in smart textiles through printed electronics. In 2019 IEEE 9th International Nanoelectronics Conferences, INEC 2019 Article 8853853 IEEE. https://doi.org/10.1109/INEC.2019.8853853

Kazemi, Z., Yildiz, E. & Larsen, P. G. (2024). Enabling Flexible Manufactuirng in Wind Industry Based on Movable Factory Concept: Definitions, Requirements, and Challenges. In 2024 IEEE International Conference on Industrial Technology (ICIT) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT58233.2024.10540826

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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