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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Faraji, B., Gheisarnejad, M., Yalsavar, M. & Khooban, M. H. (2021). An Adaptive ADRC Control for Parkinson’s Patients Using Machine Learning. IEEE Sensors Journal, 21(6), 8670 - 8678. https://doi.org/10.1109/JSEN.2020.3048588

Ahmadi, H., Rafiei Foroushani, M., Afshari-Igder, M., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). An Energy Efficient Solution for Fuel Cell Heat Recovery in Zero-Emission Ferry Boats: Deep Deterministic Policy Gradient. I E E E Transactions on Vehicular Technology, 70(8), 7571-7581. https://doi.org/10.1109/TVT.2021.3094899.

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

Lindahl Petersen , K., Ladegaard Jensen, K., Back Nielsen, M., Pas, L-C., Jensen, N-P., Nielsen, P. R., Bøjer, O. M., Nyholm Jørgensen, R., Laursen, M. S., Teimouri, N. & Hartmann, B. (2021). Analyse af mulige herbicidbesparelser ved brug af erfaringer og data fra RoboWeedMaPS. Datalogisk Institut. https://datalogisk.dk/wp-content/uploads/2021/03/MST_20rapport_version_2_2002092021.pdf

Narvaez, F., Hosseini, S., Farkhani, H. & Moradi, F. (2021). Analysis and Design of a PMUT-based transducer for Powering Brain Implants. (pp. 10). ArXiv.

Oleksiienko, I. & Iosifidis, A. (2021). Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. In N. Mallenahalli, A. Bhattacharya, S. Senatore, A. Negi & A. Hirose (Eds.), 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) (pp. 59-64). IEEE. https://doi.org/10.1109/ICETCI51973.2021.9574075

Magris, M. & Iosifidis, A. (2021). Approximate Bayes factors for unit root testing. Paper presented at International Association for Applied Econometrics Annual Conference 2021, Rotterdam, Netherlands. https://www.researchgate.net/publication/349492007_Approximate_Bayes_factors_for_unit_root_testing

Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021). Apsu - A compact surface NMR instrument for groundwater investigations. SEG Technical Program Expanded Abstracts, 2021-September, 3135-3139. https://doi.org/10.1190/segam2021-3582046.1

Bennedsen, J. (2021). Assessing students' professional criticism skills - a mathematics course case. In J. Bennedsen, K. Edström, M. S. Gudjonsdottir, I. Sæmundsdóttir, N. Kuptasthien, J. Roslöf & A. Sripakagorn (Eds.), The 17^th International CDIO Conference: Proceedings - Full papers (pp. 293-302). Chulalongkorn University. http://www.cdio2021.chula.ac.th/download/CDIO2021_proceeding.pdf

Johansen, K. W., Nielsen, R., Schultz, C. & Teizer, J. (2021). Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), 457-486. https://doi.org/10.1108/SASBE-03-2021-0044

Seker, M., Männistö, A., Iosifidis, A. & Raitoharju, J. (2021). Automatic Main Character Recognition for Photographic Studies. In IEEE International Workshop on Multimedia Signal Processing https://www.researchgate.net/publication/352506003_Automatic_Main_Character_Recognition_for_Photographic_Studies

Johansen, K. W., Pimentel de Figueiredo, R., Golovina, O. & Teizer, J. (2021). Autonomous Safety Barrier Inspection in Construction: An Approach Using Unmanned Aerial Vehicles and SafeBIM. In C. Feng, T. Linner & I. Brilakis (Eds.), Proceedings of the 38th ISARC (pp. 629-636) https://doi.org/10.22260/ISARC2021/0085

Kristensen, E. F., Grøn Sørensen, C., Balafoutis, T., Vaiopoulos, K. & Vandorou, F. (2021). Available financing tools in EU agriculture. https://www.agrofossilfree.eu/wp-content/uploads/2021/10/D2.14.pdf

Sørensen, R. A., Rosenberg, J. & Karstoft, H. (2021). Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. In 2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) (pp. 13-19). IEEE. https://doi.org/10.1109/ISCSIC54682.2021.00014

Nielsen, L. & Heck, M. (2021). Boosting the output power and wall-plug efficiency of lasers on a generic InP platform. In S. M. García-Blanco & P. Cheben (Eds.), Integrated Optics: Devices, Materials, and Technologies XXV (Vol. 11689). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581908

Robinson, C., Bagnato, A., Pastrone, C., Weyer, T., Popov, P., Macedo, H. D., Sassanelli, C., Larsen, P. G., Luz, C. H., Henshaw, M., Buron, C., Akerkar, R. & Györffi, M. (2021). Bridging the stakeholder communities that produce cyber-physical systems. In M. D. E. al (Ed.), HiPEAC Vision 2021: High performance embedded architecture and compilation (pp. 20-29). HiPEAC. https://www.hipeac.net/vision/2021/

Dyrmann, M., Mortensen, A. K., Linneberg, L., Høye, T. T. & Bjerge, K. (2021). Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning. Sensors (Switzerland), 21(18), [6126]. https://doi.org/10.3390/s21186126

Mehndiratta, M., Camci, E. & Kayacan, E. (2021). Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers. Electronics (Switzerland), 10(18), [2187]. https://doi.org/10.3390/electronics10182187

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3485-3494. https://doi.org/10.1109/JSTARS.2021.3062936

Asif, M. R., Larsen, J. J., Maurya, P. K., Christiansen, A. V. & Auken, E. (2021). Complete automation of time-domain transient electromagnetic data processing using deep convolutional autoencoder. Abstract from AGU 2021, United States.

Hedegaard Morsing, L. & Iosifidis, A. (2021). Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. https://arxiv.org/abs/2106.00050

Khooban, M. H. & Dragicevic, T. (Eds.) (2021). Control Strategy for Time-Delay Systems: Part I : Concepts and Theories. Academic Press. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-12-820599-0

Khooban, M. H. & Dragicevic, T. (Eds.) (2021). Control Strategy for Time-Delay Systems: Part II : Engineering Applications. Elsevier. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-323-85347-7

Frasheri, M., Esterle, L. & Papadopoulos, A. V. (2021). Cooperative Multi-agent Systems for the Multi-target κ -Coverage Problem. In A. P. Rocha, L. Steels & J. van den Herik (Eds.), Agents and Artificial Intelligence: ICAART 2020 (pp. 106-131). Springer. Lecture Notes in Computer Science Vol. 12613 https://doi.org/10.1007/978-3-030-71158-0_5

Banaei, M., Ghanami, F., Khooban, M. H. & Boudjadar, J. (2021). Cost-effective control of Roll-on/Roll-off Emission-Free Ships. In 2021 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021 (pp. 315-320). IEEE. https://doi.org/10.1109/MMAR49549.2021.9528473

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

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 Ijenction 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

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

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

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

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

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

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

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

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

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

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

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

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

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

Mikkelsen, K., Rezaei Tabar, Y., Christensen, C. B. & Kidmose, P. (2021). EEGs Vary Less Between Lab and Home Locations Than They Do Between People. Frontiers in Computational Neuroscience, 15, [565244]. https://doi.org/10.3389/fncom.2021.565244

Tabar, Y. R., Mikkelsen, K. B., Rank, M. L., Hemmsen, M. C., Otto, M. & Kidmose, P. (2021). Ear-EEG for sleep assessment: a comparison with actigraphy and PSG. Sleep and Breathing, 25(3), 1693-1705. https://doi.org/10.1007/s11325-020-02248-1

Thrysøe, S. A. (2021). Educating biomedical 3D printing engineers. Transactions on Additive Manufacturing Meets Medicine , 3(1), [512]. https://doi.org/10.18416/AMMM.2021.2109512

Asif, M. R., Bording, T. S., Barfod, A. S., Grombacher, D. J., Maurya, P. K., Christiansen, A. V., Auken, E. & Larsen, J. J. (2021). Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling. IEEE Access, 9, 34635-34646. https://doi.org/10.1109/ACCESS.2021.3061761

Griffiths, M. P., Grombacher, D. J. & Larsen, J. J. (2021). Efficient numerical Bloch solutions for multipulse surface NMR. Geophysical Journal International, 227(3), 1905-1916. https://doi.org/10.1093/gji/ggab321

Frydenlund, A., Poggi, A. I., Hansen, S. K., Brage-Andersen, M., Merhi, Y., Agarwala, S., Mikkelsen, P. H., Nygaard, J. V., Steffensen, I. E. & Suetta, C. (2021). Elektrisk stimulation mod muskel- og funktionstab hos en patient indlagt med COVID-19. Ugeskrift for Læger, 183(20), [V03210275].

Kragh, M. F. & Karstoft, H. (2021). Embryo selection with artificial intelligence: how to evaluate and compare methods? Journal of Assisted Reproduction and Genetics, 38, 1675-1689. https://doi.org/10.1007/s10815-021-02254-6

Moradi, F. (2021). En hjernesag. Medicoteknik, 8(3), 3-3. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=2

Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): Proceedings IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460

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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:

Get a copy of the AU Engineering Profile 2022

If you wish to get a copy of AU Engineering Profile 2022, please contact contact@auengineering.au.dk

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