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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Zheng, X., Luo, Y., Zhou, P. & Wang, L. (2025). Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognition, 158, Article 111029. https://doi.org/10.1016/j.patcog.2024.111029

Koolivand, Y., Mosalmani, A., Rezaeiyan, Y., Esmailbeygi, H., Hatamzadeh, E., Zamani, M. & Moradi, F. (2024). A 65nm 3mA 0.14-m-Accuracy TDR Based Leak Detection SoC for District Heating Networks with I/C Calibration Technique. In Proceedings of the Custom Integrated Circuits Conference IEEE. https://doi.org/10.1109/CICC60959.2024.10528962

Koolivand, Y., Rezaeiyan, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T. & Moradi, F. (2024). A 69MHz-Bandwidth 40V/μ s-Slew-Rate 3n V/√Hz-Noise 4.5 μ V-Offset Chopper Operational Amplifier. IEEE Transactions on Circuits and Systems I: Regular Papers, 71(7), 2977-2988. https://doi.org/10.1109/TCSI.2024.3374428

Tang, W., Cao, Y., Ying, J., Wang, B., Zhao, Y., Liao, Y. & Zhou, P. (2024). A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. In L.-W. Ku, A. Martins & V. Srikumar (Eds.), 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference (pp. 3670-3685). Association for Computational Linguistics (ACL).

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). ACCURATE GIGAPIXEL CROWD COUNTING BY ITERATIVE ZOOMING AND REFINEMENT. In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6510-6514). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10446065

Kristoffersen, A. E., Schultz, C. P. L. & Kamari, A. (2024). A critical comparison of concepts and approaches to social sustainability in the construction industry. Journal of Building Engineering , 91, Article 109530. https://doi.org/10.1016/j.jobe.2024.109530

Marinoudi, V., Benos, L., Camacho Villa, C., Lampridi, M., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Adapting to the Agricultural Labor Market Shaped by Robotization. Sustainability, 16(16), Article 7061. https://doi.org/10.3390/su16167061

Fathollahi, A. & Andresen, B. (2024). Adaptive Fixed-Time Control strategy of Generator Excitation and Thyristor-Controlled Series Capacitor in Multi-Machine Energy Systems. IEEE Access, 12, 100316-100327. https://doi.org/10.1109/ACCESS.2024.3430199

Han, G., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Adaptive prescribed performance based on recursive nonsingular terminal sliding mode control for quad-rotor systems under uncertainty and disturbance: real-time validation. Aerospace Science and Technology, 147, Article 109028. https://doi.org/10.1016/j.ast.2024.109028

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of floral environments and insect populations. bioRxiv. https://doi.org/10.1101/2024.04.12.589205

Bjerge, K., Karstoft, H., Mann, H. M. R. & Høye, T. T. (2024). A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments. Ecological Informatics, 84, Article 102861. https://doi.org/10.1016/j.ecoinf.2024.102861

Kunrath, K., Leka, S., Vestergaard, L. S., Presser, M. & Ramanujan, D. (2024). A Digital Tool for Scaffolding Innovation Learning in Engineering Education with Local Industry Needs. International Journal of Engineering Education, 40(4), 801-814.

Frasheri, M., Böttjer, T., Larsen, P. G., Esterle, L. & Gomes, C. (2024). Advanced Digital Twin Services. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 209-221). Springer. https://doi.org/10.1007/978-3-031-66719-0_10

Rafiei Foroushani, M. (2024). Advancing Computer Vision in Irregular Texture Product Analysis. Aarhus University.

Nordtorp, F., Baş, E. E., Gomes, C. & Abbiati, G. (2024). A Hybrid Testing Framework for Wind Turbine Mechanical Components. Journal of Physics: Conference Series, 2767(5), Article 052046. https://doi.org/10.1088/1742-6596/2767/5/052046

Cruz Salazar, L. A., Gil Arboleda, S., Rueda Carvajal, G. D., Sánchez-Zuluaga, G. J. & D. Zapata-Madrigal, G. (2024). AI in assessing Industry 4.0 adoption in Colombia: a case study approach. In Proceedings of the 6th IFAC International Workshop on Advance Maintenance Engineering, Services and Technology (AMEST 2024) (8 ed., Vol. 58, pp. 162-167). Elsevier. https://doi.org/10.1016/j.ifacol.2024.08.067

Hallerstede, S. & Hatcliff, J. (2024). A Mechanized Semantics for Component-Based Systems in the HAMR AADL Runtime. In J. Cámara & S.-S. Jongmans (Eds.), Formal Aspects of Component Software: 19th International Conference, FACS 2023, Virtual Event, October 19-20, 2023, Revised Selected Papers (1 ed., pp. 45-64). Springer. https://doi.org/10.1007/978-3-031-52183-6_3

Mahto, K. K., Mahato, B., Chandan, B., Das, D., Das, P., Kumari, S., Vita, V., Pavlatos, C. & Fotis, G. (2024). A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components. Technologies, 12(6), Article 90. https://doi.org/10.3390/technologies12060090

Hurst, A. (2024). Analytics Directly on Compressed IoT Data. Aarhus University.

Shahgholian, G. & Fathollahi, A. (2024). Analyzing Small-Signal Stability in a Multi-Source Single-Area Power System with a Load-Frequency Controller Coordinated with a Photovoltaic System. AppliedMath, 4(2), 452-467. https://doi.org/10.3390/appliedmath4020024

Grombacher, D., Griffiths, M. P., Kass, M. A. & Larsen, J. J. (2024). An investigation of factors affecting the depths of steady-state surface nuclear magnetic resonance signals. Geophysics, 89(2), J9-J17. https://doi.org/10.1190/geo2023-0068.1

Khare, S. K., McLachlan, P., Maurya, P. K. & Larsen, J. J. (2024). An optimized and hybrid gating scheme for the suppression of very low-frequency radios in transient electromagnetic systems. Geoscientific Instrumentation, Methods and Data Systems, 13(1), 27-41. https://doi.org/10.5194/gi-13-27-2024

Zamm, A., Loehr, J. D., Vesper, C., Konvalinka, I., Kappel, S. L., Heggli, O. A., Vuust, P. & Keller, P. E. (2024). A practical guide to EEG hyperscanning in joint action research: from motivation to implementation. Social Cognitive and Affective Neuroscience, 19(1), Article nsae026. https://doi.org/10.1093/scan/nsae026

Jahangir, M. F., Schultz, C. P. L. & Kamari, A. (2024). A review of drivers and barriers of Digital Twin adoption in building project development processes. Journal of Information Technology in Construction, 29, 141-178. https://doi.org/10.36680/j.itcon.2024.008

Lee, L.-H., Hosio, S., Braud, T. & Zhou, P. (2024). A Roadmap Toward Metaversity: Recent Developments and Perspectives in Education. In D. Liu, R. Huang, A. H. S. Metwally, A. Tlili & E. Fan Lin (Eds.), Application of the Metaverse in Education (pp. 73-95). Springer Nature. https://doi.org/10.1007/978-981-97-1298-4_5

Cai, X. & Cheng, H. V. (2024). Array Pattern Synthesis with Discrete Phases for Reconfigurable Intelligent Surfaces. In 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (pp. 741 - 745). IEEE. https://doi.org/10.1109/SPAWC60668.2024.10694155

Baghaee Ivriq, S., Laursen, K., Møller Jørgensen, A., Mondal, T., Zamani, M., Rezaeiyan, Y., Corbett, B., Iversen, B. B. & Moradi, F. (2024). A System-Level Feasibility Study of a Lead-Free Ultrasonically Powered Light Delivery Implant for Optogenetics. Advanced Intelligent Systems , 6(3), Article 2300527. https://doi.org/10.1002/aisy.202300527

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2024). Automated performance assessment of prevention through design and planning (PtD/P) strategies in construction. Automation in Construction, 157, Article 105159. https://doi.org/10.1016/j.autcon.2023.105159

Esterle, L., Frasheri, M. & Larsen, P. G. (2024). Autonomous Reconfguration Enabled by Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 345-362). Springer. https://doi.org/10.1007/978-3-031-66719-0_14

Rouhani, S. H., Su, C.-L., Mobayen, S., Esmaeili Shayan, M., Khooban, M. H. & Elsisi, M. (2024). Barrier-Function Adaptive Finite-Time Trajectory Tracking Controls for Cyber Resilience in Smart Grids Under an Electricity Market Environment. IEEE Transactions on Smart Grid, 15(6), 6031-6047. https://doi.org/10.1109/TSG.2024.3417704

Liu, B., Wang, Y., Mofid, O., Mobayen, S. & Khooban, M. H. (2024). Barrier Function-Based Backstepping Fractional-Order Sliding Mode Control for Quad-Rotor Unmanned Aerial Vehicle under External Disturbances. IEEE Transactions on Aerospace and Electronic Systems, 60(1), 716-728. https://doi.org/10.1109/TAES.2023.3328801

Anand, M., Panigrahi, S., Kofoed, M. V. W., Aghababaei, R. & Agarwala, S. (2024). Bioinspired poly(vinyl alcohol) films with tunable adhesion and self-healing for biodegradable electronics and beyond. Sustainable Materials and Technologies, 41, Article e01084. https://doi.org/10.1016/j.susmat.2024.e01084

Gomes, C., Feng, H., Kazemi, Z. & Pierce, K. (2024). Calibration of Models for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 129-146). Springer. https://doi.org/10.1007/978-3-031-66719-0_6

Oakes, B. J., Zhang, H., Hatledal, L. I., Feng, H., Frasheri, M., Sandberg, M., Gil Arboleda, S. & Gomes, C. (2024). Case Studies in Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 257-310). Springer. https://doi.org/10.1007/978-3-031-66719-0_12

Li, B. & Schultz, C. P. L. (2024). Clingo2DSR - A clingo-based software system for declarative spatial reasoning. Spatial Cognition & Computation. https://doi.org/10.1080/13875868.2024.2324875

Strøm, J., Engholm, A. L., Lorenzen, K. P. & Mikkelsen, K. B. (2024). Common sleep data pipeline for combined data sets. PLOS ONE, 19(8), Article e0307202. https://doi.org/10.1371/journal.pone.0307202

Andersen, S., Laursen, P. H., Wood, G. J., Lyhne, M. D., Madsen, T. L., Hansen, E. S. S., Johansen, P., Kim, W. Y. & Andersen, M. J. (2024). Comparison of admittance and cardiac magnetic resonance generated pressure-volume loops in a porcine model. Physiological Measurement, 45(5), Article 055014. https://doi.org/10.1088/1361-6579/ad4a03

Ferro, M. V., Sørensen, C. G. & Catania, P. (2024). Comparison of different computer vision methods for vineyard canopy detection using UAV multispectral images. Computers and Electronics in Agriculture, 225, Article 109277. https://doi.org/10.1016/j.compag.2024.109277

Nawoya, S., Ssemakula, F., Akol, R., Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A. & Gebreyesus, G. (2024). Computer vision and deep learning in insects for food and feed production: A review. Computers and Electronics in Agriculture, 216, Article 108503. https://doi.org/10.1016/j.compag.2023.108503

Nawoya, S., Geissmann, Q., Karstoft, H., Bjerge, K., Akol, R., Katumba, A., Mwikirize, C. & Gebreyesus, G. (2024). Computer-vision based prediction of body traits and larval sex in black soldier fly. Abstract from Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Dong, L., Yang, W., Wen, L., Zhao, X., Claus, A. G. S., Wu, C. & Zhou, K. (2024). Continuous curvature wayline generation using quadratic optimisation for agricultural machine guidance. Biosystems Engineering, 238, 22-37. https://doi.org/10.1016/j.biosystemseng.2023.12.009

Stanton, E. J., Tønning, P., Ulsig, E. Z., Calmar, S., Stanton, M. A., Thomsen, S. T., Gravesen, K. B., Johansen, P. & Volet, N. (2024). Continuous-wave second-harmonic generation in the far-UVC pumped by a blue laser diode. Scientific Reports, 14(1), Article 3238. https://doi.org/10.1038/s41598-024-53144-7

Hansen, S. T., Thule, C., Gomes, C., Lausdahl, K. G., Madsen, F. P., Abbiati, G. & Larsen, P. G. (2024). Co-simulation at different levels of expertise with Maestro2. Journal of Systems and Software, 209, Article 111905. https://doi.org/10.1016/j.jss.2023.111905

Minh Nguyen, Q., Tran, D. T., Kanniainen, J., Iosifidis, A. & Gabbouj, M. (2024). Cryptocurrency Portfolio Optimization by Neural Networks. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 25-32). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371855

Zhan, C., Wan, D., Han, Y., Zhang, J., Liu, S., Liu, H., Hu, T., Xiao, W., Cao, J. & Li, D. (2024). Decadal trends of black carbon and heavy metal accumulation in a lake sediment core from central China: A historical perspective. Catena, 247, Article 108513. https://doi.org/10.1016/j.catena.2024.108513

Fathollahi, A. & Andresen, B. (2024). Deep deterministic policy gradient for adaptive power system stabilization and voltage regulation. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 9, Article 100675. https://doi.org/10.1016/j.prime.2024.100675

Pauwels, R. & Iosifidis, A. (2024). Deep Learning in Image Processing: Part 1—Types of Neural Networks, Image Segmentation. In Artificial Intelligence in Dentistry (pp. 283-316). Springer. https://doi.org/10.1007/978-3-031-43827-1_17

Pauwels, R. & Iosifidis, A. (2024). Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration. In K. Orhan & R. Jagtap (Eds.), Artificial Intelligence in Dentistry (pp. 317-351). Springer. https://doi.org/10.1007/978-3-031-43827-1_18

Kuntuarova, S., Licklederer, T., Huynh, T., Zinsmeister, D., Hamacher, T. & Perić, V. (2024). Design and simulation of district heating networks: A review of modeling approaches and tools. Energy, 305, Article 132189. https://doi.org/10.1016/j.energy.2024.132189

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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