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.

Publication list

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Feng, H. (2023). Digital Twin Engineering with an Application to an Incubator. [PhD thesis, Aarhus University]. Aarhus Universitet.

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, Article 113280. https://doi.org/10.1016/j.rser.2023.113280

Cai, X. & Cheng, H. V. (2023). Direct Channel Estimation Between MIMO Transmitter and Reconfigurable Intelligent Surface. In IEEE Conference on Global Communications (GLOBECOM) (pp. 4217-4222). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437250

Klein-Hitpass, A., Kidmose, P. & Agarwala, S. (2023). Direct-write shielded cables for improved signal integrity. IEEE Journal on Flexible Electronics, 2(6), 481-485. https://doi.org/10.1109/JFLEX.2023.3294147

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

Suetta, C., Merhi, Y., Agarwala, S., Mikkelsen, P. H. & Nygaard, J. V. (2023). Dry electrode integrated with garment. (Patent No. WO2023209148 (A1)). https://dk.espacenet.com/publicationDetails/biblio?DB=EPODOC&II=0&ND=3&adjacent=true&locale=dk_DK&FT=D&date=20231102&CC=WO&NR=2023209148A1&KC=A1#

Sehat, H. (2023). Dual Deduplication in multi-client setting and its applications. [PhD thesis, Aarhus University]. Aarhus Universitet.

Ejersbo, H., Lausdahl, K., Frasheri, M. & Esterle, L. (2023). Dynamic Runtime Integration of New Models in Digital Twins. ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, 44-55. https://doi.org/10.1109/SEAMS59076.2023.00016

Bakhtiarnia, A., Milošević, N., Zhang, Q., Bajović, D. & Iosifidis, A. (2023). Dynamic Split Computing for Efficient Deep Edge Intelligence. In ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/ICASSP49357.2023.10096914

Li, N. (2023). Edge AI for Time-critical Internet-of-things. [PhD thesis, Aarhus University]. Aarhus University.

Lyng, R., Bennedsen, J., Bettaieb, L., Bodsberg, N. R., Edström, K., Guðjónsdóttir, M. S., Roslöf, J., Solbjørg, O. K. & Øien, G. (2023). Editorial. In Proceedings of the 19th International CDIO Conference (pp. iv-v). NTNU Norwegian University of Science and Technology.

Hansen, M. T., Ulsig, E. Z., Labbé, F., Madsen, M. L., Ding, Y., Rottwitt, K. & Volet, N. (2023). Efficient and robust second-harmonic generation in thin-film lithium niobate using modal phase matching. Frontiers in Photonics, 4, Article 1324648. https://doi.org/10.3389/fphot.2023.1324648

Pham, X. H. (2023). Efficient deep learning-based monocular 3D perception for agile robot navigation. [PhD thesis, Aarhus University]. Aarhus Universitet.

Morsing, L. H. (2023). Efficient Online Processing with Deep Neural Networks. [PhD thesis, Aarhus University].

Kusumanchi, P., Madsen, J. G., Bek, T. & Davidsen, R. S. (2023). Electrical Stimulation of retinal tissue with pyrolytic carbon microelectrodes. Poster session presented at The EYE and the Chip, 13th World Research Congress on Artificial Vision, Southfield, Michigan, United States.

Rezaei, N. (2023). Emerging technologies in design and testing of protection relays for transmission system connected to inverter based resources. In 22nd Wind and Solar Integration Workshop (WIW 2023) (Vol. 2023, pp. 712-719). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2807

Ruf, F., Nielsen, L., Volet, N. & Heck, M. (2023). Energy-Efficient Design of a Fast All-Optical Single-Photon Switch with Pre-Emphasis Pump Scheme. Paper presented at Conference on Laser and Electro-Optics (CLEO) , San Jose, California, United States.

Shafaghi, P., Dolatshahi, M. & Farkhani, H. (2023). Energy-efficient spintronic based neuromorphic computing system using current mode track and termination circuit. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 42(9), 2915-2923. https://doi.org/10.1109/TCAD.2023.3238879

Far Brusatori, M. (2023). Engineering Optical Feedback for Stable Diode Laser Performance. [PhD thesis, Aarhus University]. Aarhus University.

Abdolmaleki, H. (2023). Enhancement of Electrical Properties of Inkjet Printed Fluoropolymer Films through Functional Fillers. [PhD thesis, Aarhus University]. Aarhus Universitet.

Sadat Parvini, T., Paz, E., Böhnert, T., Schulman, A., Benetti, L., Oberbauer, F., Walowski, J., Moradi, F., Ferreira, R. & Münzenberg, M. (2023). Enhancing spin-transfer torque in magnetic tunnel junction devices: Exploring the influence of capping layer materials and thickness on device characteristics. Journal of Applied Physics, 133(24), Article 243902. https://doi.org/10.1063/5.0151480

Khare, S. K., Bajaj, V., Gaikwad, N. B. & Sinha, G. R. (2023). Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals. Sensors, 23(18), Article 7860. https://doi.org/10.3390/s23187860

Inci, E. O., Desmet, W., Gomes, C. & Croes, J. (2023). Error Estimators for Adaptive Scheduling Algorithm for Serial Co-Simulation. In M. J. Blas & G. Alvarez (Eds.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 73-83). IEEE. https://ieeexplore.ieee.org/document/10155365

Amariei, G., Schaarup-Kjær, A. S., Klarskov, P., Henriksen, M. L. & Hinge, M. (2023). Estimation of pigment concentration in LDPE via in-line hyperspectral imaging and machine learning. Journal of Spectral Imaging, 12(a2). https://doi.org/10.1255/jsi.2023.a2

Oakes, B. J., Gomes, C., Larsen, P. G., Denil, J., Deantoni, J., Cambeiro, J. & Fitzgerald, J. (2023). Examining Model Qualities and Their Impact on Digital Twins. In M. J. Blas & G. Alvarez (Eds.), 2023 Annual Modeling and Simulation Conference (ANNSIM) (pp. 220-232). IEEE. https://ieeexplore.ieee.org/document/10155350

Sepehrzad, R., Ghafourian, J., Hedayatnia, A., Al-Durrad, A. & Khooban, M. H. (2023). Experimental and developed DC microgrid energy management integrated with battery energy storage based on multiple dynamic matrix model predictive control. Journal of Energy Storage, 74(Part A), Article 109282. https://doi.org/10.1016/j.est.2023.109282

Kakavandi, F. & Larsen, P. G. (2023). Explainable Product Quality Assessment in a Medical Device Assembly Pilot Line. In 2022 10th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 271-275). IEEE. https://doi.org/10.1109/ICCMA56665.2022.10011621

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. https://doi.org/10.1007/978-3-031-29548-5_1

Kopler, I., Marchaim, U., Tikász, I. E., Opaliński, S., Kokin, E., Mallinger, K., Neubauer, T., Gunnarsson, S., Soerensen, C., Phillips, C. J. C. & Banhazi, T. (2023). Farmers’ Perspectives of the Benefits and Risks in Precision Livestock Farming in the EU Pig and Poultry Sectors. Animals, 13(18), Article 2868. https://doi.org/10.3390/ani13182868

Larsen, P. G., Esterle, L., Fitzgerald, J. & Frasheri, M. (2023). Fault Injection in Co-simulation and Digital Twins for Cyber-Physical Robotic Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 222-236). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-40132-9_14

Aguzzi, G., Viroli, M. & Esterle, L. (2023). Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks. In Proceedings - 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023 (pp. 37-46). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSOS58161.2023.00021

Bjerge, K., Pinoy, N., Karstoft, H. & Høye, T. T. (2023). Field trials with automated moth monitoring in three different habitats of Denmark. Abstract from 2023 Butterfly Conservation Symposium, Bedfordshire , United Kingdom.

Jensen, R. I. T. & Iosifidis, A. (2023). Fighting Money Laundering With Statistics and Machine Learning. IEEE Access, 11, 8889-8903. https://doi.org/10.1109/ACCESS.2023.3239549

Mohseni, S.-R., Jahanshahi Zeitouni, M., Parvaresh, A., Abrazeh, S., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). FMI real-time co-simulation-based machine deep learning control of HVAC systems in smart buildings: Digital-twins technology. Transactions of the Institute of Measurement and Control, 45(4), 661-673. https://doi.org/10.1177/01423312221119635

Thomsen, S. T., Brusatori, M. F., Arent, N. H., Kumar, R. R. & Volet, N. (2023). Frequency noise measurements using coherent self-heterodyne detection. Optics Letters, 48(24), 6372-6375. https://doi.org/10.1364/OL.505960

Shreya, S., Jenkins, A., Bohnert, T., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Frequency Sensing and Detection using Granular Vortex MTJ Nano Oscillator. Poster session presented at IEEE INTERMAG Conference, Japan. https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228828

Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2023). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal, 10(5), 4006-4020. https://doi.org/10.1109/JIOT.2022.3166455

Frasheri, M., Miloradovic, B., Esterle, L. & Papadopoulos, A. V. (2023). GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem. Proceedings (IEEE Symposium Series on Computational Intelligence), 1696-1703. https://doi.org/10.1109/SSCI52147.2023.10371893

Shreya, S., Jenkins, A., Rezaeiyan, Y., Li, R., Bohnert, T., Benetti, L., Ferreira, R., Moradi, F. & Farkhani, H. (2023). Granular vortex spin-torque nano oscillator for reservoir computing. Scientific Reports, 13(1), Article 16722. https://doi.org/10.1038/s41598-023-43923-z

Sohrab, F., Iosifidis, A., Gabbouj, M. & Raitoharju, J. (2023). Graph-embedded subspace support vector data description. Pattern Recognition, 133, Article 108999. https://doi.org/10.1016/j.patcog.2022.108999

Andresen, B., Søgaard, C. T. & Zamastil, M. M. (2023). Grid Code Requirements for Connecting a Hybrid Power Plant: An overview of status and recommendations for future requirements. In 22nd Wind and Solar Integration Workshop (WIW 2023) (pp. 22-29). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2714

Mahmoudi, A., Khezri, R., Bidram, A., Khooban, M., Aki, H., Khalilpour, K., Abdeltawab, H. & Muyeen, S. M. (2023). Guest editorial: Application of cloud energy storage systems in power systems. IET Generation, Transmission and Distribution, 17(8), 1687-1689. https://doi.org/10.1049/gtd2.12770

Gaikwad, N. B., Khare, S. K., Ugale, H., Mendhe, D., Tiwari, V., Bajaj, V. & Keskar, A. G. (2023). Hardware Design and Implementation of Multiagent MLP Regression for the Estimation of Gunshot Direction on IoBT Edge Gateway. IEEE Sensors Journal, 23(13), 14549-14557. https://doi.org/10.1109/JSEN.2023.3278748

Sadeghi, M., Rezaeiyan, Y., Fernández Khatiboun, D. & Moradi, F. (2023). Hardware Implementation of a Resource-Efficient Router for Multi-Core Spiking Neural Networks. In ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings (pp. 1-5). IEEE. https://doi.org/10.1109/ISCAS46773.2023.10182040

Johansen, K. W., Schultz, C. & Teizer, J. (2023). Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis. Computer-Aided Civil and Infrastructure Engineering, 38(15), 2128-2144. https://doi.org/10.1111/mice.12988

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical classification of insects with multitask learning and anomaly detection. Ecological Informatics, 77, Article 102278. https://doi.org/10.1016/j.ecoinf.2023.102278

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection. bioRxiv. https://doi.org/10.1101/2023.06.29.546989

Radmanesh, H., Maalandish, M., Pourjafar, S. & Khooban, M. H. (2023). High step-up MIMO DC–DC power converter control-based pole placement. International Journal of Circuit Theory and Applications, 51(3), 1313-1331. https://doi.org/10.1002/cta.3469

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). High step-up multi input–multi output DC–DC converter with high controllability for battery charger/EV applications. IET Power Electronics, 16(15), 2606-2623. https://doi.org/10.1049/pel2.12587

Kamari, A. & Schultz, C. P. L. (2023). How can LCA inform early-stage design to meet Danish regulations? The sustainability opportunity metric. In E. Hjelseth, S. F. Sujan & R. J Scherer (Eds.), ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway (pp. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-4

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