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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Munshi, M. T. & Klarskov, P. (2021). Laser Terahertz Emission Microscopy of Gold Nanorods forming a Coffee-stain Ring on a Semiconductor Surface. In 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021 IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850

Bozcan, I. (2021). Learning-based Anomaly Detection for Aerial Surveillance. Århus Universitet.

Laakom, F., Chumachenko, K., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Learning to ignore: rethinking attention in CNNs. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05684.pdf

Esterle, L. & King, D. W. (2021). Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms. ACM Transactions on Autonomous and Adaptive Systems, 16(2), Article 5. https://doi.org/10.1145/3502725

Balauroiu, M., Ruf, F., Volet, N. & Heck, M. (2021). Low-loss all-optical ns-switching for scalable quantum photonic links. Poster session presented at Photonic Links for Quantum Technology Platforms.

Spasaro, M. (2021). Low-Power Radio-Frequency Low Noise Amplifiers for Future Wireless Transceivers. Århus Universitet.

Faraji, B., Gheisarnejad, M., Rouhollahi, K., Esfahani, Z. & Khooban, M. H. (2021). Machine Learning Approach based on Ultra-Local Model Control for Treating Cancer Pain. I E E E Sensors Journal, 21(6), 8245-8252. Article 9285309. https://doi.org/10.1109/JSEN.2020.3042937

Bording, T. S., Asif, M. R., Barfod, A. S., Larsen, J. J., Zhang, B., Grombacher, D. J., Christiansen, A. V., Engebretsen, K. W., Pedersen, J. B., Maurya, P. K. & Auken, E. (2021). Machine learning based fast forward modelling of ground-based time-domain electromagnetic data. Journal of Applied Geophysics, 187, Article 104290. https://doi.org/10.1016/j.jappgeo.2021.104290

Boettjer, T., Krogshave, J. T. & Ramanujan, D. (2021). Machine-specific estimation of milling energy consumption in detailed design. Journal of Manufacturing Science and Engineering, Transactions of the ASME, 143(8), Article 081010. https://doi.org/10.1115/1.4050179

Weiß., G., Pietraroia., D., Sassanelli., C. & Macedo., H. (2021). Manufacturing Process Simulation in a Hybrid Cloud Setup. In Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2021 (pp. 49-58). SCITEPRESS Digital Library. https://doi.org/10.5220/0010641700003062

Bajovic, D., Bakhtiarnia, A., Bravos, G., Brutti, A., Burkhardt, F., Cauchi, D., Chazapis, A., Cianco, C., Dall'Asen, N., Delic, V., Dimou, C., Djokic, D., Escobar-Molero, A., Esterle, L., Eyben, F., Farella, E., Festi, T., Geromitsos, A., Giakoumakis, G. ... Zammit, J. (2021). MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments. In 2021 International Balkan Conference on Communications and Networking, BalkanCom 2021 (pp. 143-147). IEEE. https://doi.org/10.1109/BalkanCom53780.2021.9593258

Yazdani, N. (2021). Massive-Scale IoT Dynamic Data Updating and Compression for a Scalable IoT Infrastructure. Århus Universitet.

Yuksel, O., Sandberg, M., Hattel, J. H., Akkerman, R. & Baran, I. (2021). Mesoscale Process Modeling of a Thick Pultruded Composite with Variability in Fiber Volume Fraction. Materials, 14(13), Article 3763. https://doi.org/10.3390/ma14133763

Khezri, R., Mahmoudi, A. & Khooban, M. H. (2021). Microgrids planning for residential electrification in rural areas. In S. Padmanaban, P. Sivaraman, C. Sharmeela & J. B. Holm-Nielsen (Eds.), Residential Microgrids and Rural Electrifications (pp. 1-25). Academic Press. https://doi.org/10.1016/B978-0-323-90177-2.00014-1

Nielsen, L., Burihabwa, D., Schiavoni, V., Felber, P. & Lucani Rötter, D. E. (2021). MinervaFS: A User-Space File System for Generalised Deduplication. In International Symposium on Reliable Distributed Systems (SRDS) IEEE. https://doi.org/10.1109/SRDS53918.2021.00033

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Mixed Positive-Bounded Balanced Truncation. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(7), 2488-2492. Article 9328872. https://doi.org/10.1109/TCSII.2021.3053160

Banaei, M., Oloomi‐buygi, M., Raouf‐Sheybani, H. & Khooban, M. H. (2021). Mixed supply function‐Cournot equilibrium model of futures and day‐ahead electricity markets. IET Generation, Transmission & Distribution, 15(10), 1640-1654. https://doi.org/10.1049/gtd2.12123

Feng, H., Gomes, C., Iosifidis, A. & Larsen, P. G. (2021). Model-based monitoring and state estimation for digital twins: The Kalman filter. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), Annual Modeling and Simulation Conference (ANNSIM 2021) (pp. 1-2)

Samboju, S. K., Tanjavooru, V. T., Zinsmeister, D. & Peric, V. S. (2021). Modeling of combined heat and power generation unit for dynamic analysis of integrated thermal-electric grids∗. In Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems Article 11 Association for Computing Machinery. https://doi.org/10.1145/3470481.3472711

Böttjer, T., Sandberg, M., Larsen, P. G. & Macedo, H. D. (2021). Modelling an Injection Moulding Machine using the Vienna Development Method. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 51-65) https://arxiv.org/abs/2110.09371

Kulik, T., Macedo, H. D., Talasila, P. & Larsen, P. G. (2021). Modelling the HUBCAP Sandbox Architecture In VDM: A Study In Security. In J. Fitzgerald, T. Oda & H. D. Macedo (Eds.), Proceedings of the 18th International Overture Workshop (pp. 20-35) https://arxiv.org/pdf/2101.07261.pdf

Salehi, Z., Karimaghaee, P. & Khooban, M. H. (2021). Model Order Reduction of Positive Real Systems Based on Mixed Gramian Balanced Truncation with Error Bounds. Circuits, Systems and Signal Processing, 40(11), 5309-5327. https://doi.org/10.1007/s00034-021-01734-5

Iraji, M., Dehghani, M., Mohammadi, M., Vafamand, N. & Boudjadar, J. (2021). Motor Current Signature Analysis Using Shapelet. In H. Selvaraj, G. Chmaj & D. Zydek (Eds.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (pp. 23-33). Springer. https://doi.org/10.1007/978-3-030-65796-3_3

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Multi-Exit Vision Transformer for Dynamic Inference. In The 32nd British Machine Vision Conference https://www.semanticscholar.org/paper/Multi-Exit-Vision-Transformer-for-Dynamic-Inference-Bakhtiarnia-Zhang/26f61039857423c0aad2c44f0e7769cbb61246c9

Tran, D. T., Yamac, M., Degerli, A., Gabbouj, M. & Iosifidis, A. (2021). Multilinear compressive learning. IEEE Transactions on Neural Networks and Learning Systems, 32(4), 1512-1524. Article 9070152. https://doi.org/10.1109/TNNLS.2020.2984831

Gheisarnejad Chirani, M. & Khooban, M. H. (2021). Multi-microgrids with a Frequency Regulation-Based V2G Technology: Systems Analysis, Modeling, and Control. In Design, Control, and Operation of Microgrids in Smart Grids: Power Systems (pp. 1-26). Springer. https://doi.org/10.1007/978-3-030-64631-8_1

Naveed, K., Mukhtar, S. & Ur Rehman, N. (2021). Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis. In 2021 IEEE Statistical Signal Processing Workshop, SSP 2021 (pp. 441-445). IEEE. https://doi.org/10.1109/SSP49050.2021.9513823

Marandi, S. A., Sehat, H., Lucani Rötter, D. E., Mousavifar, S. & Jacobsen, R. H. (2021). Network Coding-based Data Storage and Retrieval for Kademlia. In 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Article 9448845 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9448845

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P. & Kidmose, P. (2021). Neural correlates of beat perception measured using ear-EEG: Bringing EEG music studies into the concert hall . Poster session presented at Rhythm Production and Perception Workshop 2021, Oslo, Norway.

Bliddal, H., Christensen, C. B., Møller, C., Vuust, P. & Kidmose, P. (2021). Neural correlates of beat perception measured using ear-EEG. Poster session presented at Advances and Perspectives in Auditory Neuroscience, United States.

Bozorgasli, Z., Foroozan, H., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). New Trends on Digital Twin-Based Blockchain Technology in Zero-Emission Ship Applications. Naval Engineers Journal, 133(3), 115-135. http://bt.e-ditionsbyfry.com/publication/?m=63540&i=721756&view=articleBrowser&article_id=4109541&ver=html5

Abrazeh, S., Parvaresh, A., Mohseni, S.-R., Jahanshahi Zeitouni, M., Gheisarnejad, M. & Khooban, M. H. (2021). Nonsingular Terminal Sliding Mode Control With Ultra-Local Model and Single Input Interval Type-2 Fuzzy Logic Control for Pitch Control of Wind Turbines. IEEE/CAA Journal of Automatica Sinica, 8(3), 690-700. Article 9346074. https://doi.org/10.1109/JAS.2021.1003889

Dormann, F., Frisk, O., Andersen, L. N. & Pedersen, C. F. (2021). Not All Noise Is Accounted Equally: How Differentially Private Learning Benefits From Large Sampling Rates. In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021 IEEE. https://doi.org/10.1109/MLSP52302.2021.9596307

Vahdanjoo, M. & Grøn Sørensen, C. (2021). Novel Route Planning Method to Improve the Operational Efficiency of Capacitated Operations. Case: Application of Organic Fertilizer. AgriEngineering, 3(3), 458-477. https://doi.org/10.3390/agriengineering3030031

Kouvelas, N., Prasad, R. V., Yazdani, N. & Lucani Rötter, D. E. (2021). np-CECADA: Enhancing Ubiquitous Connectivity of LoRa Networks. In Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021 (pp. 374-382). IEEE. https://doi.org/10.1109/MASS52906.2021.00054

Wagner, S. R. (2021). Nye smarte teknologier er på vej – hvordan får almensektoren det bedste ud af dem? Månedsskrift for Almen Praksis, 2021(Juni/juli), 470-478. https://www.maanedsskriftet.dk/mpl/2021/344/12755/

Abu-Ghaida, H., Leka, S., Kunrath, K., Thostrup, R. & Ramanujan, D. (2021). Økoengineer – A Web-Based Game Platform for Guided Discovery-Based Sustainability Learning in Engineering Curricula. In 18th International Conference on Design Education (DEC): 18th International Conference on Design Education (DEC) (Vol. 4). Article DETC2021-69406, V004T04A014 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2021-69406

Vestergaard, R., Hanna, O., Song, L., Lucani Rötter, D. E. & Fragouli, C. (2021). On Coded Broadcasting for Wireless Recommendation Systems. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500829

Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). On Feature Diversity in Energy-based models. Paper presented at International Conference on Learning Representations Workshop on Energy-Based Models, , Vienna. https://openreview.net/pdf?id=ks3Q08yy66r

Yazdani, N. & Lucani Rötter, D. E. (2021). Online Compression of Multiple IoT Sources Reduces the Age of Information. IEEE Internet of Things Journal, 8(19), 14514-14530. https://doi.org/10.1109/JIOT.2021.3064511

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). On Quantitative Evaluations of Counterfactuals. ArXiv. https://doi.org/10.48550/arXiv.2111.00177

Figueiredo, R. P. D., Hansen, J. G., Le Fevre Sejersen, J., Brandão, M. & Kayacan, E. (2021). On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation.

Marcano, N. J. H., Diez, L., Calvo, R. A. & Jacobsen, R. H. (2021). On the Queuing Delay of Time-Varying Channels in Low Earth Orbit Satellite Constellations. IEEE Access, 9, 87378-87390. Article 9454162. https://doi.org/10.1109/ACCESS.2021.3089005

Heidari, N. & Iosifidis, A. (2021). On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. In IJCNN 2021 - International Joint Conference on Neural Networks, Proceedings IEEE. https://doi.org/10.1109/IJCNN52387.2021.9534440

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2021). Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500744

Banaei, M., Boudjadar, J., Ebrahimy, R. & Madsen, H. (2021). Optimal Control Strategies of Fuel cell/Battery Based Zero-Emission Ships: A Survey. In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society IEEE. https://doi.org/10.1109/IECON48115.2021.9589512

Banaei, M., Boudjadar, J. & Khooban, M. H. (2021). Optimal Energy Resources Scheduling of Hybrid Diesel/Battery Ships in Shallow Waters. In H. Selvaraj, G. Chmaj & D. Zydek (Eds.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (pp. 369-378). Springer. https://doi.org/10.1007/978-3-030-65796-3_36

Khezri, R., Mahmoudi, A., Khooban, M. H. & Ertugrul, N. (2021). Optimal Sizing of Grid-tied Residential Microgrids Under Real-Time Pricing. In 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (pp. 771-776). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595828

Anagnostis, A., Tagarakis, A. C., Kateris, D., Moysiadis, V., Sørensen, C. G., Pearson, S. & Bochtis, D. (2021). Orchard mapping with deep learning semantic segmentation. Sensors, 21(11), Article 3813. https://doi.org/10.3390/s21113813

Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping science go to work. Poster session presented at Organic World Congress 2021, Rennes, France. https://orgprints.org/id/eprint/42339/2/OWC2020-SCI-239_ORGANIC%20EPRINTS%20-%20HELPING%20SCIENCE%20GO%20TO%20WORK_poster_RasmussenIA.pdf

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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