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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Inci, E. O., Croes, J., Desmet, W., Gomes, C., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). The Effect and Selection of Solution Sequence in Co-Simulation. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-12). IEEE. https://doi.org/10.23919/ANNSIM52504.2021.9552130

Inceoglu, F., Hernandez Marcano, N. J., Jacobsen, R. H. & Karoff, C. (2020). A General Overview for Localizing Short Gamma-Ray Bursts with a CubeSat Mega-Constellation. Frontiers in Astronomy and Space Science, 7(November), [573060]. https://doi.org/10.3389/fspas.2020.573060

Imanberdiyev, N. & Kayacan, E. (2020). Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 674-681). [9254702] IEEE. IECON Proceedings (Industrial Electronics Conference) Vol. 2020-October https://doi.org/10.1109/IECON43393.2020.9254702

Imanberdiyev, N., Sood, S., Kircali, D. & Kayacan, E. (2022). Design, development and experimental validation of a lightweight dual-arm aerial manipulator with a COG balancing mechanism. Mechatronics, 82, [102719]. https://doi.org/10.1016/j.mechatronics.2021.102719

Ibrahim, I. A. F. A. H., Bochtis, D., Grøn Sørensen, C. & Nørremark, M. (2010). Automated generation of guidance lines for operational field planning. Biosystems Engineering, 107(4), 294-306. https://doi.org/10.1016/j.biosystemseng.2010.09.001

Iandolo, B., Sánchez Nery, A. P., Davidsen, R. S. & Hansen, O. (2019). Black silicon with ultra‐low surface recombination velocity fabricated by inductively coupled power plasma. Physica Status Solidi. Rapid Research Letters, 13(2). https://doi.org/10.1002/pssr.201800477

Iandolo, B., Davidsen, R. S. & Hansen, O. (2018). Avoiding blistering in Al2O3 deposited on planar and black Si. Solar Energy Materials & Solar Cells, 187, 23-29. https://doi.org/10.1016/j.solmat.2018.07.014

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, [e13837]. https://doi.org/10.7717/peerj.13837

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). On Quantitative Evaluations of Counterfactuals.

Hvilshøj, F., Iosifidis, A. & Assent, I. (2021). ECINN: Efficient Counterfactuals from Invertible Neural Networks. In 32nd British Machine Vision Conference 2021, BMVC 2021, Virtual https://arxiv.org/abs/2103.13701

Huynh, H. A., Zamani, M., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 53GΩ@DC Input Impedance Multi-Channel Neural Recording Amplifier with 0.77 μvrms Input-Referred Noise for Deep Brain Implants. In 2021 IEEE Custom Integrated Circuits Conference, CICC 2021 - Proceedings [9431403] IEEE. Proceedings of the Custom Integrated Circuits Conference Vol. 2021-April https://doi.org/10.1109/CICC51472.2021.9431403

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. In IEEE Global Communications Conference (GLOBECOM) IEEE. IEEE Global Communications Conference (GLOBECOM) https://doi.org/10.1109/GLOBECOM46510.2021.9685589

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

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. In Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)

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

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2022). QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge. In 2022 IEEE Annual Consumer Communications & Networking Conference (CCNC) (pp. 319-325). IEEE. Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC) https://doi.org/10.1109/CCNC49033.2022.9700676

Hosseinzadeh, M., Hudson, N., Zhao, X., Khamfroush, H. & Lucani Rötter, D. E. (2021). Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. In 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) (pp. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398

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. [9112273]. https://doi.org/10.1109/TUFFC.2020.3001084

Honoré, J. T., Rask, R. D. & Wagner, S. R. (2023). Fall Detection Combining Android Accelerometer and Step Counting Virtual Sensors. In G. A. Papadopoulos, A. Achilleos, E. Pissaloux & R. Velázquez (Eds.), ICT for Health, Accessibility and Wellbeing - 2nd International Conference, IHAW 2022, Revised Selected Papers (pp. 3-16). Springer. Communications in Computer and Information Science Vol. CCIS No. 1799 https://doi.org/10.1007/978-3-031-29548-5_1

Hervella, C., Diez, L., Fernández, F., Marcano, N. J. H., Jacobsen, R. H. & Agüero, R. (2022). Realistic Assessment of Transport Protocols Performance over LEO-based Communications. In PE-WASUN '22: Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor & Ubiquitous Networks (pp. 91-98). Association for Computing Machinery. https://doi.org/10.1145/3551663.3558680

Henriksen, M. L., Karlsen, C. B., Klarskov, P. & Hinge, M. (2022). Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning. Vibrational Spectroscopy, 118, [103329]. https://doi.org/10.1016/j.vibspec.2021.103329

Henriksen, M. L., Pedersen, W. N., Klarskov, P. & Hinge, M. (2022). One step calibration of industrial hyperspectral cameras. Chemometrics and Intelligent Laboratory Systems, 227, [104609]. https://doi.org/10.1016/j.chemolab.2022.104609

Hemakom, A., Ahrabian, A., Looney, D., Rehman, N. U. & Mandic, D. P. (2015). Nonuniformly sampled trivariate empirical mode decomposition. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/icassp.2015.7178660

Helmstedt, C., Manouselis , N. M., Martín-Moncunill, D., Protonotarios, V., Sicilia, M-A., M. Stracke, C., Adamides, G., Aventurier, P., Belsis, P., Beyer, J., Biniari, K., Bouza, D., Ciotoli, F., Engel-Vermette, S., Nicola Ghirad, N. G., Koutoumanos, A., Jensen, A. L., Le Henaff, D., Masselin-Silvin , S. ... Tsiflidou, E. (2020). Opening Up Access to Scientific Information: Recommendations for Improving Virtual Repositories and Online Communities. University Publisher. https://hal.inrae.fr/hal-02806629/document

Heidary, J., Gheisarnejad Chirani, M., Rastegar, H. & Khooban, M. H. (2022). Survey on microgrids frequency regulation: Modeling and control systems. Electric Power Systems Research, 213, [108719]. https://doi.org/10.1016/j.epsr.2022.108719

Heidary, J., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Stability Enhancement and Energy Management of AC-DC Microgrid based on Active Disturbance Rejection Control. Electric Power Systems Research. https://doi.org/10.1016/j.epsr.2022.109105

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). Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. In Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition (ICPR) (pp. 7907-7914). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412091

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) (pp. 3220-3224). IEEE. https://doi.org/10.1109/ICASSP39728.2021.9413860

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

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. (2022). Representation Learning for Graph-Structured Data Analysis. Aarhus Universitet.

Heidari, N., Hedegaard Morsing, L. & Iosifidis, A. (2022). Graph convolutional networks. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 71-99). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00009-9

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 [9449009] IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9449009

Hedegaard Morsing, L., Sheikh-Omar, O. A. & Iosifidis, A. (2021). Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Transactions on Image Processing, 30, 8619-8631. https://doi.org/10.1109/TIP.2021.3118978

Hedegaard Morsing, L., Heidari, N. & Iosifidis, A. (2022). Continual Spatio-Temporal Graph Convolutional Networks. Pattern Recognition, 140, 109528. https://doi.org/10.48550/arXiv.2203.11009

Hedegaard Morsing, L., Alok, A., Jose, J. & Iosifidis, A. (2022). Structured Pruning Adapters. https://doi.org/10.48550/arXiv.2211.10155

Hedegaard Morsing, L. & Iosifidis, A. (2022). Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella & T. Hassner (Eds.), Computer Vision – ECCV 2022 (pp. 369-385). Springer. Lecture Notes in Computer Science Vol. 13664 https://doi.org/10.1007/978-3-031-19772-7_22

Hedegaard Morsing, L., Bakhtiarnia, A. & Iosifidis, A. (2022). Continual Transformers: Redundancy-Free Attention for Online Inference. The Eleventh International Conference on Learning Representations. https://arxiv.org/abs/2201.06268

Hedegaard, L. & Iosifidis, A. (2023). Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. In L. Karlinsky, T. Michaeli & K. Nishino (Eds.), Computer Vision – ECCV 2022 Workshops, Proceedings (pp. 21-34). Springer. Lecture Notes in Computer Science (LNCS) Vol. 13807 https://doi.org/10.1007/978-3-031-25082-8_2

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

Hassan Hire, J. (2022). Self-powered Embedded Wireless Corrosion Monitoring System. Aarhus Universitet.

Hao, H., Wang, H. L. & Rehman, N. U. (2017). A joint framework for multivariate signal denoising using multivariate empirical mode decomposition. Signal Processing, 135, 263-273. https://doi.org/10.1016/j.sigpro.2017.01.022

Hansen, S. T., Thule, C. & Gomes, C. (2021). An FMI-Based Initialization Plugin for INTO-CPS Maestro 2. In L. Cleophas & M. Massink (Eds.), Software Engineering and Formal Methods: SEFM 2020 Collocated Workshops (pp. 295-310). Springer. Lecture Notes in Computer Science Vol. 12524 https://doi.org/10.1007/978-3-030-67220-1_22

Hansen, S. T., Gomes, C., Larsen, P. G. & Van De Pol, J. (2021). Synthesizing Co-Simulation Algorithms with Step Negotiation and Algebraic Loop Handling. In C. R. Martin, M. J. Blas & A. I. Psijas (Eds.), 2021 Annual Modeling and Simulation Conference (ANNSIM) (pp. 62-73). IEEE. Simulation Series Vol. 53 No. 2 https://doi.org/10.23919/ANNSIM52504.2021.9552073

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. Lecture Notes in Computer Science Vol. 12863 https://doi.org/10.1007/978-3-030-85248-1_1

Hansen, J. P., Jespersen, L. M., Brunori, G., Jensen, A. L., Holst, K., Mathiesen, C., Halberg, N. & Rasmussen, I. A. (2014). ICT and social media as drivers of multi-actor innovation in agriculture. In World Conference on Computers in Agriculture, San Jose, Costa Rica, 2014 https://journals.sfu.ca/cigrp/index.php/Proc/article/view/162/161

Hansen, M. J., Kai, P., Nørremark, M., Børsting, C. F., Ottosen, C-O. & Konnerup, D. (2022). Miljø- og Klimateknologi 2022. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Hansen, S. T., Gomes, C. Â. G., Najafi, M., Sommer, T., Blesken, M., Zacharias, I., Kotte, O., Mai, P. R., Schuch, K., Wernersson, K., Bertsch, C., Blochwitz, T. & Junghanns, A. (2022). The FMI 3.0 Standard Interface for Clocked and Scheduled Simulations. Electronics (Switzerland), 11(21), [3635]. https://doi.org/10.3390/electronics11213635

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

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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

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Revised 06.09.2022

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