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

Sort by: Date | Author | Title

Tajalli, S. A. M., Tajalli , S. Z., Homayounzadeh, M. & Khooban, M. H. (2023). Zero-Carbon Power-to-Hydrogen Integrated Residential System Over a Hybrid Cloud Framework. IEEE Transactions on Cloud Computing , 11(3), 3099-3110. https://doi.org/10.1109/TCC.2023.3257995

Aggelopoulou, A. D., Bochtis, D., Fountas, S., Swain, K. C., Gemtos, T. A. & Nanos, G. D. (2011). Yield prediction in apple orchards based on image processing. Precision Agriculture, 12(3), 448-456. https://doi.org/10.1007/s11119-010-9187-0

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2021). Yggdrasil: Privacy-Aware Dual Deduplication in Multi Client Settings. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500816

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2023). WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. In B. Williams, Y. Chen & J. Neville (Eds.), AAAI-23 Technical Tracks 7 (pp. 8421-8429). Article 190493 AAAI Press.

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Within-layer Diversity Reduces Generalization Gap. Paper presented at International Conference on Machine Learning Workshop on Information Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, 2021. https://arxiv.org/pdf/2106.06012.pdf

Bro Damsgaard, S., Hernandez Marcano, N. J., Nørremark, M., Jacobsen, R. H., Rodríguez, I. & Mogensen, P. (2022). Wireless Communications for Internet of Farming: An Early 5G Measurement Study. IEEE Access, 10, 105263-105277. https://doi.org/10.1109/ACCESS.2022.3211096

Khan, T. M., Khan, M. A. U., Rehman, N. U., Naveed, K., Afridi, I. U., Naqvi, S. S. & Raazak, I. (2022). Width-wise vessel bifurcation for improved retinal vessel segmentation. Biomedical Signal Processing and Control, 71(Part A), Article 103169. https://doi.org/10.1016/j.bspc.2021.103169

Ulsig, E., Madsen, M., J. Stanton, E., Reddy, D., Leger, A., Sørensen, S., Degli-Eredi, I., Stevens, M., Hamel, D., Shalm, L., Mirin, R. & Volet, N. (2024). Widely tunable integrated GaAs and AlGaAs platforms for efficient second-order frequency conversion. https://doi.org/10.1364/opticaopen.25540030.v1

Ramakrishna, S., Li, F., Kijeńska-Gawrońska, E. & Agarwala, S. (2023). Where is science heading? The main challenges before today’s scientists? Drying Technology, 41(6), 812-816. https://doi.org/10.1080/07373937.2023.2205799

Böhnert, T., Rezaeiyan, Y., Claro, M. S., Benetti, L., Jenkins, A. S., Farkhani, H., Moradi, F. & Ferreira, R. (2023). Weighted spin torque nano-oscillator system for neuromorphic computing. Nature Communication Engineering, 2, Article 65. https://doi.org/10.1038/s44172-023-00117-9

Adamsen, A. P. S., Kastensand, M., Larsen, P. F., Kristensen, E. F., Kristensen, J. K., Holm, M. & Guldberg, L. B. (2023). Weekly discharge of slurry with collection and destruction of methane gases from covered manure slurry storages can more than halve climate gas emissions from pig production. Abstract from Agri Food and Climate Circle 2023, Copenhagen, Denmark.

Farkhani, S., Skovsen, S. K., Dyrmann, M., Nyholm Jørgensen, R. & Karstoft, H. (2021). Weed classification using explainable multi-resolution slot attention. Sensors, 21(20), Article 6705. https://doi.org/10.3390/s21206705

Volet, N., Ulsig, E. Z., Degli-Eredi, I., Tønning, P. & Stanton, E. J. (2021). Walk-off effect in nonlinear crystals suitable for UVC generation. In P. G. Schunemann & K. L. Schepler (Eds.), Nonlinear Frequency Generation and Conversion: Materials and Devices XX Article 116701O SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581674

Nørremark, M., Hansen, E. M. & Thomsen, I. K., (2022). Vurderingen af miljøeffekten ved variabel tildeling af husdyrgødning under præcisionslandbrug, No. 2021-0310376, 12 p., Apr 21, 2022. Rådgivningsnotat fra DCA – National Center for Fødevarer og Jordbrug

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2024). Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Computing and Applications, 36(32), 20341-20354. https://doi.org/10.1007/s00521-024-10259-2

Das, K. K., Soni, S., Moradi, F., Shreya, S. & Kaushik, B. K. (2024). Vortex Spin Torque Nano Oscillator-based PUF and TRNG Design for Lightweight Security Solutions. In 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) IEEE. https://doi.org/10.1109/EDTM58488.2024.10511353

Layek, K., Nair, S. V., Hari Krishnan, P. & Hatua, K. (2024). Voltage Angle-Based Torque Control of Dual Three-Phase Interior Permanent Magnet Synchronous Motor Considering Mismatch in Winding Parameters. IEEE Transactions on Industrial Electronics, 71(9), 10119-10129. https://doi.org/10.1109/TIE.2023.3329210

Tashakor, N., Naseri, F., Fang, J., Schotten, H. & Goetz, S. (2022). Voltage and Resistance Estimation of Battery-Integrated Cascaded Converters. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON49645.2022.9968369

Amer, A. H. K. S. A., Mehndiratta, M., Sejersen, J. L. F., Pham, X. H. & Kayacan, E. (2024). Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection. In 2023 21st International Conference on Advanced Robotics (ICAR) (pp. 431-438). IEEE. https://doi.org/10.1109/ICAR58858.2023.10406329

Rask, J. K., Madsen, F. P., Battle, N., Macedo, H. D. & Larsen, P. G. (2021). Visual Studio Code VDM Support. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 35-50) https://arxiv.org/pdf/2101.07261.pdf

Leporowski, B. & Iosifidis, A. (2021). Visualising deep network time-series representations. Neural Computing and Applications, 33(23), 16489-16498. https://doi.org/10.1007/s00521-021-06244-8

H. Bohlbro, C., Macedo, H. D., Tola, D., Esterle, L. & Larsen, P. G. (2024). Visualisation in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 175-188). Springer. https://doi.org/10.1007/978-3-031-66719-0_8

Yildiz, E., Møller, C., Bilberg, A. & Rask, J. K. (2021). Virtual Prototyping: Evaluating the Digital Twin Based Virtual Factory for New Product Introduction. Complex Systems Informatics and Modeling Quarterly, 29(29), 1-16. Article 163. https://doi.org/10.7250/csimq.2021-29.01

Abrazeh, S., Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Fathollahi, A., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Virtual Hardware-in-the-Loop FMU Co-Simulation Based Digital Twins for Heating, Ventilation, and Air-Conditioning (HVAC) Systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 65-75. https://doi.org/10.1109/TETCI.2022.3168507

Andersen, M. N. (Ed.), Adamsen, A. P. S. (Ed.), Lærke, P. E., Ugilt Larsen, S., Jørgensen, U., Olesen, J. E., Manevski, K., Bay, S. S., Hutchings, N., Hansen, E. M., Munkholm, L. J., Børgesen, C. D., Thomsen, I. K., Elsgaard, L., Petersen, S. O., Toda, M., Ntinyari, W., Sørensen, P., Audet, J. ... Nielsen, H. M. (2024). Virkemidler til reduktion af klimagasser i landbruget - 2024. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Vol. 2024 No. 227 https://dcapub.au.dk/djfpublikation/djfpdf/DCArapport227.pdf

Khare, S. K., Gaikwad, N. & Bajaj, V. (2022). VHERS: A Novel Variational Mode Decomposition and Hilbert Transform-Based EEG Rhythm Separation for Automatic ADHD Detection. IEEE Transactions on Instrumentation and Measurement, 71, 1-10. Article 4008310. https://doi.org/10.1109/TIM.2022.3204076

Shreya, S., Rezaeiyan, Y., Jenkins, A., Böhnert, T., Farkhani, H., Ferreira, R. & Moradi, F. (2022). Verilog-A-Based Analytical Modeling of Vortex Spin-Torque Nano Oscillator. IEEE Transactions on Electron Devices, 69(8), 4651-4658. https://doi.org/10.1109/TED.2022.3179994

Hansen, S. T., Gomes, C., Palmieri, M., Thule, C., van de Pol, J. & Woodcock, J. (2021). Verification of Co-simulation Algorithms Subject to Algebraic Loops and Adaptive Steps. In A. L. Lafuente & A. Mavridou (Eds.), Formal Methods for Industrial Critical Systems (pp. 3-20). Springer. https://doi.org/10.1007/978-3-030-85248-1_1

Hansen, S. T., Thule, C., Gomes, C., van de Pol, J., Palmieri, M., Inci, E. O., Madsen, F., Alfonso, J., Castellanos, J. Á. & Rodriguez, J. M. (2022). Verification and synthesis of co-simulation algorithms subject to algebraic loops and adaptive steps. International Journal on Software Tools for Technology Transfer, 24(6), 999-1024. https://doi.org/10.1007/s10009-022-00686-8

Lillelund, C. M., Pedersen, C. F., Harbo, M. & Fibiger Smed, C. (2021). Vejen til genoptræning går gennem data. Medicoteknik, 8(3), 18-19. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=18

Oda, T., Kusakabe, S., Chang, H.-M. & Larsen, P. G. (2022). VDM-SL in action: A FRAM-based approach to contextualise formal specifications. In H. D. Macedo & K. Pierce (Eds.), Proceedings of the 20th International Overture Workshop (pp. 5-18) https://doi.org/10.48550/arXiv.2208.10233

Battle, N., Macedo, H. D. & Larsen, P. G. (2021). VDM Combinatorial Testing Guidelines.

Akhbari, A., Rahimi, M. & Khooban, M. H. (2023). Various Control Strategies Performance Assessment of the DFIG wind turbine connected to a DC grid. IET Electric Power Applications, 17(5), 687-708. https://doi.org/10.1049/elp2.12297

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2023). Variational Voxel Pseudo Image Tracking. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 323-328). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371810

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2022). Variational Neural Networks implementation in Pytorch and JAX[Formula presented]. Software Impacts, 14, Article 100431. https://doi.org/10.1016/j.simpa.2022.100431

Oleksiienko, I., Tran, D. T. & Iosifidis, A. (2023). Variational Neural Networks. Procedia Computer Science, 222, 104-113. https://doi.org/10.1016/j.procs.2023.08.148

Naveed, K., Meldgaard Madsen, L., Grombacher, D. & Larsen, J. J. (2023). Variational Mode Decomposition-Based Processing of Time-Domain Induced Polarization Data. Abstract from NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , United Kingdom. https://doi.org/10.3997/2214-4609.202320133

Magris, M. & Iosifidis, A. (2023). Variational Inference for GARCH-family Models. In ICAIF 2023 - 4th ACM International Conference on AI in Finance (pp. 541-548). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3604237.3626863

Moltke, A., R Smith, C., I Miakota, D., Jektvik, C. D., Davidsen, R. S., Canulescu, S. & Bang, O. (2024). UV source for solar cell processing and scatterometry. In Frontiers in Ultrafast Optics: Biomedical, Scientific, and Industrial Applications XXIV

Fathollahidehkordi, A., Derakhshandeh, S. Y., Ghiasian, A. & Khooban, M. H. (2022). Utilization of dynamic wireless power transfer technology in multi-depot, multi-product delivery supply chain. Sustainable Energy, Grids and Networks, 32, Article 100836. https://doi.org/10.1016/j.segan.2022.100836

Dobbs, A. M., Ginn, D., Skovsen, S. K., Yadav, R., Jha, P., Bagavathiannan, M. V., Mirsky, S. B., Reberg-Horton, C. S. & Leon, R. G. (2023). Using structure-from-motion to estimate cover crop biomass and characterize canopy structure. Field Crops Research, 302, Article 109099. https://doi.org/10.1016/j.fcr.2023.109099

Tøttrup, M. F., Hu, E. C., Kramer, B. A., Macedo, H. D. & Esterle, L. (2023). Using INTO-CPS Tools in the Development of a Digital Twin for the F1TENTH Race Car. In P. Masci, C. Bernardeschi, P. Graziani, M. Koddenbrock & M. Palmieri (Eds.), Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops: International Conference on Software Engineering and Formal Methods (pp. 200-209). Springer. https://doi.org/10.1007/978-3-031-26236-4_18

Bennedsen, J., Böttjer, T. & Tola, D. (2022). Using GitHub classroom in teaching programming. In 18th CDIO International Conference Proceedings - Full papers (pp. 690-702) https://www.diva-portal.org/smash/get/diva2:1705223/FULLTEXT01.pdf#page=704

Rasmussen, I. A. & Jensen, A. L. (2013, Aug). User guide. www.orgprints. https://orgprints.org/id/eprint/29427/1/2013_Screenshot_manual_Organic_Eprints.pdf

Hjelseth, E. & Li, B. (2021). Use of “Reasoner” for automated building code compliance assessment. In Proceedings of the 38th International Conference of CIB W78 (pp. 138-147) https://itc.scix.net/pdfs/w78-2021-paper-014.pdf

Kleinschmidt, V., Hamacher, T., Peric, V. & Reza Hesamzadeh, M. (2020). Unlocking Flexibility in Multi-Energy Systems: A Literature Review. In 2020 17th International Conference on the European Energy Market, EEM 2020 Article 9221927 IEEE Computer Society. https://doi.org/10.1109/EEM49802.2020.9221927

Feng, H., Gomes, C., Sandberg, M., Macedo, H. D. & Larsen, P. G. (2022). Under What Conditions Does a Digital Shadow Track a Periodic Linear Physical System? In A. Cerone, M. Autili, A. Bucaioni, C. Gomes, P. Graziani, M. Palmieri, M. Temperini & G. Venture (Eds.), Software Engineering and Formal Methods. SEFM 2021 Collocated Workshops - CIFMA, CoSim-CPS, OpenCERT, ASYDE, Revised Selected Papers (pp. 143-155). Springer. https://doi.org/10.1007/978-3-031-12429-7_11

Tola, D. & Corke, P. (2023). Understanding URDF: A Dataset and Analysis.

Tola, D. & Corke, P. (2023). Understanding URDF: A Survey Based on User Experience.

Displaying results 1 to 50 out of 1043

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