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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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.

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

Rasmussen, I. A., Jensen, A. L. & Willer, H. (2021). Organic Eprints - Helping Science Go To Work. Paper presented at Organic World Congress 2021, Rennes, France. https://orgprints.org/id/eprint/42172/1/OWC2020-SCI-239.pdf

Kharghanian, R., Peiravi, A., Moradi, F. & Iosifidis, A. (2021). Pain detection using batch normalized discriminant restricted Boltzmann machine layers. Journal of Visual Communication and Image Representation, 76, Article 103062. https://doi.org/10.1016/j.jvcir.2021.103062

Talasila, P. & Lucani Rötter, D. E. (2021). Performance of Generalized Deduplication Under Different Input Conditions. In European Wireless Conference: 26th European Wireless Conference IEEE. https://ieeexplore.ieee.org/document/9657095

Mohammadi, S., Pahlevani, P. & Lucani, D. E. (2021). Perpetual Network Coding for Delay Sensitive Applications. Wireless Personal Communications, 120(2), 923-947. https://doi.org/10.1007/s11277-021-08497-x

Rasmussen, S. M., Nielsen, T., Hody, S., Hager, H. & Schousboe, L. P. (2021). Photoplethysmography for demarcation of cutaneous squamous cell carcinoma. Scientific Reports, 11, Article 21467. https://doi.org/10.1038/s41598-021-00645-4

Kamari, A., Petersen, J. H. & Schultz, C. P. L. (2021). Popularizing DGNB in the Danish construction industry: A field study of the industry via a qualitative comparative analysis. In Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October: Joint Conference CIB W78 - LDAC 2021 (pp. 638-649). Article 64. http://itc.scix.net/paper/w78-2021-paper-064

Schranz, T., Legaard, C. M., Tola, D. & Schweiger, G. (2021). Portable runtime environments for Python-based FMUs: Adding Docker support to UniFMU. In Proceedings of 14th Modelica Conference 2021 (pp. 419-424) https://doi.org/10.3384/ecp21181419

Asplund, F., Macedo, H. D. & Sassanelli, C. (2021). Problematizing the Service Portfolio of Digital Innovation Hubs. In L. M. Camarinha-Matos, X. Boucher & H. Afsarmanesh (Eds.), Smart and Sustainable Collaborative Networks 4.0 - 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Proceedings: 22nd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2021, Saint-Étienne, France, November 22–24, 2021, Proceedings (pp. 433-440). Springer. https://doi.org/10.1007/978-3-030-85969-5_40

Macedo, H. D., Thule, C. & Pierce, K. (2021). Proceedings of the 19th International Overture Workshop. https://arxiv.org/abs/2110.09371

Heidari, N. & Iosifidis, A. (2021). Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. IEEE Access, 9, 81957-81968. https://doi.org/10.1109/ACCESS.2021.3085905

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. arxiv.org. https://arxiv.org/pdf/2106.04332.pdf

Heidari, N. & Iosifidis, A. (2021). Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Vol. 2021-June, pp. 3220-3224). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413860

Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2021). QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. In 30th International Conference on Computer Communications and Networks, ICCCN 2021 IEEE. https://doi.org/10.1109/ICCCN52240.2021.9522156

Figueiredo, R. P. D., Sejersen, J. L. F., Hansen, J. G., Brandão, M. & Kayacan, E. (2021). Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach.

Mukherjee, M., Kumar, V., Kumar, S., Lloret, J., Zhang, Q. & Guo, M. (2021). Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. In 2021 IEEE Global Communications Conference (GLOBECOM) IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685374

Oda, T., Araki, K., Sahara, S., Chang, H.-M. & Larsen, P. G. (2021). Refactoring for Exploratory Specification in VDM-SL. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 21-35) https://arxiv.org/abs/2110.09371

Chumachenko, K., Laakom, F., Raitoharju, J., Iosifidis, A. & Gabbouj, M. (2021). Rethinking compactness in deep neural networks. Paper presented at International Conference on Machine Learning Workshop on Overparameterization. https://drive.google.com/file/d/1pu5xJMPvKuGFeVCcylEvLz00uLK3UN9I/view

Shekar, S., Satpute, N. & Gupta, A. (2021). Review on diabetic retinopathy with deep learning methods. Journal of Medical Imaging, 8(6), Article 060901. https://doi.org/10.1117/1.JMI.8.6.060901

Brusatori, M. F. & Volet, N. (2021). Revised theory for the linewidth of diode lasers under external optical feedback. In V. S. Ilchenko, A. M. Armani, J. V. Sheldakova, A. V. Kudryashov & A. H. Paxton (Eds.), Laser Resonators, Microresonators, and Beam Control XXIII Article 1167211 SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2583210

Yazdani, N. & Lucani Rötter, D. E. (2021). Revolving Codes: Overhead and Computational Complexity Analysis. IEEE Communications Letters, 25(2), 374-378. Article 9210058. https://doi.org/10.1109/LCOMM.2020.3027875

Frasheri, M., Ejersbo, H., Thule, C. & Esterle, L. (2021). RMQFMU: Bridging the Real World with Co-simulation For Practitioners. In H. D. Macedo, C. Thule & K. Pierce (Eds.), Proceedings of the 19th International Overture Workshop (pp. 66-80) https://arxiv.org/pdf/2110.09371.pdf

Tola, D., Gonçalves Gomes, C. Â., Schultz, C. P. L., Schlette, C., Hansen, C. & Esterle, L. (2021). RoboCIM: Towards a Domain Model for Industrial Robot System Configurators. In A. Soylu, A. T. Nezhad, N. Nikolov, I. Toma, A. Fensel & J. Vennekens (Eds.), Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021 CEUR-WS.org. http://ceur-ws.org/Vol-2956/paper12.pdf

Laakom, F., Raitoharju, J., Nikkanen, J., Iosifidis, A. & Gabbouj, M. (2021). Robust channel-wise illumination estimation. In 32rd British Machine Vision Conference https://arxiv.org/pdf/2111.05681.pdf

Chumachenko, K., Iosifidis, A. & Gabbouj, M. (2021). Robust fast subclass discriminant analysis. In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1397-1401). Article 9287557 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287557

Passalis, N., Iosifidis, A., Gabbouj, M. & Tefas, A. (2021). Robust hypersphere-based weight imprinting for few-shot learning. In 2020 28th European Signal Processing Conference (EUSIPCO (pp. 1392-1396). Article 9287340 IEEE. https://doi.org/10.23919/Eusipco47968.2020.9287340

Skovsen, S. K., Laursen, M. S., Kristensen, R. K., Rasmussen, J., Dyrmann, M., Eriksen, J., Gislum, R., Nyholm Jørgensen, R. & Karstoft, H. (2021). Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors, 21( 1), Article 175. https://doi.org/10.3390/s21010175

Sørensen, R. A. (2021). Routing in Simulated Baggage Handling Systems using Centralized Deep Reinforcement Learning. Århus Universitet.

le Fevre Sejersen, J., Pimentel De Figueiredo, R. & Kayacan, E. (2021). Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1901-1907) https://doi.org/10.1109/CASE49439.2021.9551637

Ulsig, E. Z. & Volet, N. (2021). Second-order nonlinear effects in InGaAsP waveguides for efficient wavelength conversion to the mid-infrared. In P. G. Schunemann & K. L. Schepler (Eds.), Nonlinear Frequency Generation and Conversion: Materials and Devices XX Article 116700U SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581819

Jacobsen, R. H. & Marandi, S. A. (2021). Security Threats Analysis of the Unmanned Aerial Vehicle System. In MILCOM 2021 - 2021 IEEE Military Communications Conference (pp. 1-7) https://doi.org/10.1109/MILCOM52596.2021.9652900

Gonçalves Gomes, C. Â., Abbiati, G. & Larsen, P. G. (2021). Seismic Hybrid Testing using FMI-based Co-Simulation. In M. Sjölund, L. Buffoni, A. Pop & L. Ochel (Eds.), Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (pp. 287-295) https://doi.org/10.3384/ecp21181287

Bellman, K., Botev, J., Diaconescu, A., Esterle, L., Gruhl, C., Landauer, C., Lewis, P. R., Nelson, P. R., Pournaras, E., Stein, A. & Tomforde, S. (2021). Self-improving system integration: Mastering continuous change. Future Generation Computer Systems, 117, 29-46. https://doi.org/10.1016/j.future.2020.11.019

Christensen, S., Dyrmann, M., Nyholm Jørgensen, R. & Laursen, M. S. (2021). Sensing for Weed Detection. In Sensing Approaches for Precision Agriculture (pp. 275-300). Springer. https://doi.org/10.1007/978-3-030-78431-7, https://doi.org/10.1007/978-3-030-78431-7_10

Kretsis, A., Kokkinos, P., Soumplis, P., Vegas Olmos, J. J., Fehér, M., Sipos, M. A., Lucani Rötter, D. E., Khabi, D., Masouros, D., Siozios, K., Bourgos, P., Tsekeridou, S., Zyulkyarov, F., Karanastasis, E., Chondrogiannis, E., Andronikou, V., Fernandez Gomez, A., Panica, S., Iuhasz, G. ... Varvarigos, M. (2021). SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. In 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 (pp. 55-60). IEEE. https://doi.org/10.1109/MeditCom49071.2021.9647689

Hegde, S., Shi, L., Hernandez Marcano, N. J., Shrivastava, R., Blume, O. & Jacobsen, R. H. (2021). Sidelink Group Resource Scheduling for Platoons in Cellular Vehicle-to-Vehicle Communications. In 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Article 9449009 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449009

Lati, R. N., Rasmussen, J., Andujar, D., Dorado, J., Berge, T. W., Wellhausen, C., Pflanz, M., Nordmeyer, H., Schirrmann, M., Eizenberg, H., Neve, P., Jørgensen, R. N. & Christensen, S. (2021). Site-specific weed management—constraints and opportunities for the weed research community: Insights from a workshop. Weed Research, 61(3), 147-153. https://doi.org/10.1111/wre.12469

Chamorro, H. R., Yanine, F. F., Peric, V., Diaz-Casas, M., Bressan, M., Guerrero, J. M., Sood, V. K. & Gonzalez-Longatt, F. (2021). Smart Renewable Energy Communities - Existing and Future Prospects. In 2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics, COMPEL 2021 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/COMPEL52922.2021.9646018

Hosseini, S., Laursen, K., Rashidi, A., Mondal, T., Corbett, B. & Moradi, F. (2021). S-MRUT: Sectored-Multi Ring Ultrasonic Transducer for Selective Powering of Brain Implants. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 68(1), 191-200. Article 9112273. https://doi.org/10.1109/TUFFC.2020.3001084

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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