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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Naveed, K., Shaukat, B. & Rehman, N. U. (2018). Dual tree complex wavelet transform-based signal denoising method exploiting neighbourhood dependencies and goodness-of-fit test. Royal Society Open Science, 5(9), 180436. https://doi.org/10.1098/rsos.180436

Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. Aarhus Universitet.

Abdolmaleki, H., Kidmose, P. & Agarwala, S. (2021). Droplet‐Based Techniques for Printing of Functional Inks for Flexible Physical Sensors. Advanced Materials, 33(20), [2006792]. https://doi.org/10.1002/adma.202006792

Schultz, C. P. L. & Kamari, A. (2021). Diversity in Renovation Design: Theoretical Foundations of the Renovation Domain Model. Journal of Computing in Civil Engineering, 35(4). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000969

Li, N., Iosifidis, A. & Zhang, Q. (2022). Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 3667-3672). IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Akhbari, A., Rahimi, M. & Khooban, M. H. (2022). Direct current grid-based doubly-fed induction generator wind turbines: Real-time control and stability analysis. IET Power Electronics, 15(12), 1158-1173. https://doi.org/10.1049/pel2.12299

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

Esterle, L., Gomes, C., Frasheri, M., Ejersbo, H., Tomforde, S. & Larsen, P. G. (2021). Digital twins for collaboration and self-integration. In 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 172-177). IEEE. https://doi.org/10.1109/ACSOS-C52956.2021.00040

Naseri, F., Gil Arboleda, S., Barbu, C., Cetkin, E., Yarimca, G., Jensen, A. C., Larsen, P. G. & Gomes, C. (2023). Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms. Renewable and Sustainable Energy Reviews, 179, [113280]. https://doi.org/10.1016/j.rser.2023.113280

Esterle, L., Ejersbo, H., Frasheri, M., Gomes, C., Macedo, H. D. & Larsen, P. G. (2022). Digital Twins for Autonomous Intelligent Systems: From Development to Deployment. In 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (pp. 53-54). IEEE. https://doi.org/10.1109/ACSOSC56246.2022.00028

Macedo, H. D. (2021). Digital Twins. 12-15. Paper presented at Digitale tvillinger i afløbs- og spildevandsbranchen . http://www.evanet.dk/wp-content/uploads/2021/09/2021_03_EVA_blad.pdf

Talasila, P., Gomes, C., Mikkelsen, P. H., Arboleda, S. G., Kamburjan, E. & Larsen, P. G. (2023). Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users.

Kamari, A., Schultz, C. P. L. & Petersen, S. (Eds.) (2022). Digital Sustainability in Building Design: Special issue. Sustainability https://www.mdpi.com/journal/sustainability/special_issues/digital_building

Feng, H., Gomes, C., Sandberg, M., Thule, C., Lausdahl, K. & Larsen, P. G. (2021). Developing a Physical and Digital Twin: An Example Process Model. In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (pp. 286-295). IEEE. https://doi.org/10.1109/MODELS-C53483.2021.00050

Musaeus, C. S., Frederiksen, K. S., Andersen, B. B., Høgh, P., Kidmose, P., Fabricius, M., Hribljan, M. C., Hemmsen, M. C., Rank, M. L., Waldemar, G. & Kjær, T. W. (2023). Detection of subclinical epileptiform discharges in Alzheimer's disease using long-term outpatient EEG monitoring. Neurobiology of Disease, 183, [106149]. https://doi.org/10.1016/j.nbd.2023.106149

Chen, Q., Lang, X., Lu, S., Rehman, N. U., Xie, L. & Su, H. (2021). Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality. Computers and Chemical Engineering, 147, [107231]. https://doi.org/10.1016/j.compchemeng.2021.107231

Leporowski, B. T., Tola, D., Hansen, C. & Iosifidis, A. (2022). Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. In A-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (pp. 224-232). Springer. Lecture Notes in Mechanical Engineering https://doi.org/10.1007/978-3-030-90700-6_25

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

Ulsig, E. Z. & Volet, N. (2021). Design study of efficient far-UVC second-harmonic generation using an integrated approach. In M. Bertolotti, A. V. Zayats & A. M. Zheltikov (Eds.), Nonlinear Optics and Applications XII (Vol. 11770). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2592408

Jacobsen, R. H., Matlekovic, L., Shi, L., Malle, N., Ayoub, N., Hageman, K., Hansen, S., Nyboe, F. F. & Ebeid, E. (2023). Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure. Applied Sciences (Switzerland), 13(3), [1256]. https://doi.org/10.3390/app13031256

Naseri, F., Karimi, S., Farjah, E. & Setoodeh, P. (2023). Design of a Recommender System with Safe Driving Mode Based on State-of-Function Estimation in Electric Vehicle Drivetrains with Battery/Supercapacitor Hybrid Energy Storage System. Designs, 7(1). https://doi.org/10.3390/designs7010025

Ruf, F., Faurby, C. F. D., Paesani, S., Wang, Y., Nielsen, L., Midolo, L., Volet, N. & Heck, M. (2022). Design of Fast All-Optical Switches in Si₃N₄ Photonic Integrated Circuits for Single-Photon Routing. Poster session presented at Frontiers in Optics + Laser Science, Rochester, New York, United States. https://www.frontiersinoptics.com/home/eposters/poster/?id=3794843

del Palacio Gonzalez, A., Thylstrup, B., Pedersen, M. U., Danielsen, B., Kirk, H. B. & Jensen, K. L. (2022). Design and Testing of an Aftercare Mobile App for Substance Use Among Young Adults: An Interdisicplinary Approach in Denmark. Abstract from Lisbon addictions 2022, Lisabon, Portugal.

Dong, Z., Li, N., Iosifidis, A. & Zhang, Q. (2022). Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. ArXiv. https://doi.org/10.48550/arXiv.2211.13778

Badicu, A., Iordache, G., Suciu, G., Macedo, H. D., Sassanelli, C., Terzi, S. & Larsen, P. G. (2021). Deploying the Smart Energy Tool for Investment Simulation inside the HUBCAP Sandbox. In A. G. Bruzzone, J. S. Janosy, L. Nicoletti & G. Zacharewicz (Eds.), Proceedings of the 9th International Workshop on Simulation for Energy, Sustainable Development & Environment (SESDE 2021) (pp. 18-26) https://doi.org/10.46354/i3m.2021.sesde.003

Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. In INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

Mukherjee, M., Kumar, V., Maity, D., Matam, R., Mavromoustakis, C. X., Zhang, Q. & Mastorakis, G. (2020). Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services. Paper presented at 2020 IEEE Global Communications Conference, Taipei, Taiwan. https://globecom2020.ieee-globecom.org/program/symposia-thursday#S1569589216

Yildirim, B., Gheisarnejad, M. & Khooban, M. H. (2021). Delay-Dependent Stability Analysis of Modern Shipboard Microgrids. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 68(4), 1693-1705. https://doi.org/10.1109/TCSI.2021.3052774

Li, B., Schultz, C. P. L., Dimyadi, J. & Amor, R. (2021). Defeasible reasoning for automated building code compliance checking. In V. Semenov & R. J. Scherer (Eds.), ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction: Proceedings of the 13th European Conference on Product & Process Modelling (ECPPM 2021), 15-17 September 2021, Moscow, Russia (pp. 229-236). CRC Press. https://doi.org/10.1201/9781003191476

Esterle, L. (2022). Deep learning in multiagent systems. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 435-460). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00022-1

Pham, H. X., Ugurlu, H. I., Fevre, J. L., Bardakci, D. & Kayacan, E. (2022). Deep learning for vision-based navigation in autonomous drone racing. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 371-406). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00020-8

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)

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9. https://doi.org/10.1109/ACCESS.2021.3066300

Pauwels, R. & Iosifidis, A. (2023). Deep Learning in Image Processing – Part 2: Image Enhancement, Reconstruction and Registration.

Pauwels, R. & Iosifidis, A. (2023). Deep Learning in Image Processing - Part 1: Types of Neural Networks, Image Segmentation.

Asif, M. R., Larsen, J. J., Auken, E. & Christiansen, A. V. (2022). Deep Convolutional Auto-Encoder for Automated Processing of Airborne Time-Domain Electromagnetic Data. 1-5. Paper presented at NSG2022 3rd Conference on Airborne, Drone and Robotic Geophysics, Beograd, Serbia. https://doi.org/10.3997/2214-4609.202220038

Skovsen, S. K., Haraldsson, H., Davis, A., Karstoft, H. & Belongie, S. (2020). Decoupled Localization and Sensing with HMD-based AR for Interactive Scene Acquisition. In 2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 167-171). [9288396] IEEE. https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00053

Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C. & Kappel, S. L. (2021). Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (pp. 420-423). Institute of Electrical and Electronics Engineers Inc.. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS https://doi.org/10.1109/EMBC46164.2021.9630958

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. 129-142. Abstract from Symposium i Anvendt Statistik 2022, København, Denmark.

Foldager, L., Kaiser, M., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (pp. 181-181). Wageningen Academic Publishers. EAAP Book of Abstracts Vol. 28 https://doi.org/10.3920/978-90-8686-937-4

Foldager, L., Kaiser, M. Ø., Chen, G., Jensen, L. D., Kristensen, J. K., Kobek-Kjeldager, C., Thodberg, K., Rong, L. & Herskin, M. S. (2022). Deck height during transport of weaners – piglet height and microclimatic conditions inside trucks. In P. Linde (Ed.), Symposium i anvendt statistik (pp. 129-142). SEGES Innovation. http://www.statistiksymposium.dk/Symposium%202022_Web.pdf

Eriksen, T. & Rehman, N. U. (2023). Data-driven nonstationary signal decomposition approaches: a comparative analysis. Scientific Reports, 13(1), [1798]. https://doi.org/10.1038/s41598-023-28390-w

Nielsen, A. H. (2022). Data-Driven Weather Forecasting using Deep Learning. Aarhus Universitet.

Böttjer, T., Ørnskov Rønsch, G., Gonçalves Gomes, C. Â., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. In A-L. Andersen, R. Andersen, D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems: Proceedings of the Changeable, Agile, Reconﬁgurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (pp. 431-439). Springer. Lecture Notes in Mechanical Engineering https://www.springerprofessional.de/en/data-driven-identification-of-remaining-useful-life-for-plastic-/19816878

Böttjer, T., Ørnskov Rønsch, G., Gomes, C., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. In A-L. Andersen, R. Andersen, T. D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (Eds.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems: Proceedings of the Changeable, Agile, Reconﬁgurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (pp. 431-439). Springer. Lecture Notes in Mechanical Engineering https://doi.org/10.1007/978-3-030-90700-6_49

Macedo, H. D., Højberg, J., Jensen, J. & Thomsen, U. (2022). Data-Driven Extraneous Water Quantification. Abstract from 12th Urban Drainage Modeling Conference. https://udm2022.org/2021/11/09/data-driven-extraneous-water-quantification/

Moradi, F. & Ronchini, M. (2021). Dansk center vil revolutionere forbindelsen mellem hjerne og computer. Medicoteknik, 8(3), 6-8. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=6

Asif, M. R., Foged, N., Bording, T. S., Larsen, J. J. & Christiansen, A. V. (2023). DL-RMD: a geophysically constrained electromagnetic resistivity model database for deep learning applications. Earth System Science Data, 15(3), 1389-1401. https://doi.org/10.5194/essd-2022-345, https://doi.org/10.5194/essd-15-1389-2023

Fitzgerald, J., Gamble, C., Larsen, P. G., Pierce, K. & Woodcock, J. (2015). Cyber-Physical Systems Design: Formal Foundations, Methods and Integrated Tool Chains. In Proceedings of the 2015 IEEE/ACM 3rd FME Workshop on Formal Methods in Software Engineering (FormaliSE) (pp. 40-46). IEEE. https://doi.org/10.1109/FormaliSE.2015.14

Nhut, T. D., Bonen, S., Cooke, G., Jager, T., Spasaro, M., Sufra, D., Voinigescu, S. P. & Zito, D. (2022). Cryogenic Compact mm-Wave Broadband SPST Switch in 22nm FDSOI CMOS for Monolithic Quantum Processors. In 2022 IEEE/MTT-S International Microwave Symposium, IMS 2022 (pp. 168-171). IEEE. https://doi.org/10.1109/IMS37962.2022.9865577

Displaying results 451 to 500 out of 666

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:

Get a copy of the AU Engineering Profile 2022

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Revised 06.09.2022

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