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.

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Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2024). The Anatomy of an Architect´s Argument: Formally Capturing Socially-Oriented Design Intentions in the Built Environment. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 268-275) https://doi.org/10.35490/EC3.2024.186

Fitzgerald, J., Gomes, C. & Larsen, P. G. (Eds.) (2024). The Engineering of Digital Twins. Springer, Cham. https://doi.org/10.1007/978-3-031-66719-0

Hadi Mogavi, R., Son, J., Yang, S., Wang, D. M., Choong, L., Alhilal, A., Zhou, P. Y., Hui, P. & Nacke, L. E. (2024). The Jade Gateway to Exergaming: How Socio-Cultural Factors Shape Exergaming Among East Asian Older Adults. Proceedings of the ACM on Human-Computer Interaction, 8, Article 341. https://doi.org/10.1145/3677106

Fitzgerald, J., Larsen, P. G., Gomes, C., Charlton, R., Kristensen, K., Basagiannis, S. & Åkeson, J. (2024). The Potential of Digital Twins: Four Industry Perspectives. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 19-43). Springer. https://doi.org/10.1007/978-3-031-66719-0_2

Leka, S. (2024). The Role of Artificial Intelligence in Idea Management Systems and Innovation Processes: An Integrative Review. In AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence Conference (pp. 160-164). Association for Computing Machinery. https://doi.org/10.1145/3660853.3660890

Borges, H. B., Zaar, J., Alickovic, E., Christensen, C. B. & Kidmose, P. (2024). The Speech Reception Threshold Can be Estimated Using EEG Electrodes In and Around the Ear. https://doi.org/10.1101/2024.12.02.625819

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2024). Three-dimensional area coverage planning model for robotic application. Computers and Electronics in Agriculture, 219, 1-15. Article 108789. https://doi.org/10.1016/j.compag.2024.108789

Merhi, Y., Agarwala, S., Goumarre, V. O. Y., Lozano Montero, K., Mantysalo, M., Klarskov, P. & Amarasinghe, Y. (2024). THz Spectroscopy Analysis of Crystallinity Optimization for Enhanced Piezoelectricity in Biodegradable Poly-L-Lactide Acid. In FLEPS 2024 - IEEE International Conference on Flexible and Printable Sensors and Systems, Proceedings: Conference Proceedings (pp. 1-4). IEEE. https://doi.org/10.1109/FLEPS61194.2024.10604083

Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Suntharalingham, D., Kappel, S. L., De Silva, A. C. & Edussooriya, C. U. S. (2024). Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 2893-2904. https://doi.org/10.1109/TNSRE.2024.3438610

Sergeeva, A., Christensen, C. B. & Kidmose, P. (2024). Towards ASSR-based hearing assessment using natural sounds. Journal of Neural Engineering, 21(2), Article 026045. https://doi.org/10.1088/1741-2552/ad3b6b

Roy, D. B., Alison, J., August, T. A., Bélisle, M., Bjerge, K., Bowden, J. J., Bunsen, M. J., Cunha, F., Geissmann, Q., Goldmann, K., Gomez-Segura, A., Jain, A., Huijbers, C., Larrivée, M., Lawson, J. L., Mann, H. M., Mazerolle, M. J., McFarland, K. P., Pasi, L. ... Høye, T. T. (2024). Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1904), Article 20230108. https://doi.org/10.1098/rstb.2023.0108

Bjerge, K., Karstoft, H. & Høye, T. T. (2024). Towards edge processing of images from insect camera traps. bioRxiv. https://doi.org/10.1101/2024.07.01.601488

Böttjer, T. (2024). Towards Manufacturing Digital Twins: A Case Study in the Injection Moulding Industry. [PhD dissertation, Aarhus University]. Section of Electrical and Computer Engineering, Department of Engineering, Aarhus University, DK.

Oakes, B., Gomes, C., Abbiati, G., Kamburjan, E., Bas, E. E. & Engelsgaard, S. (2024). Towards Ontological Service-Driven Engineering of Digital Twins. In Proceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (pp. 464-469). Association for Computing Machinery. https://doi.org/10.1145/3652620.3688261

Gil Arboleda, S. (2024). Towards realization of Digital Twins for systems with coupled behavior. [PhD dissertation, Aarhus University]. Aarhus Universitet. https://doi.org/10.7146/aul.545

Larsen, P. G., Talasila, P. & Fitzgerald, J. (2024). Towards the Composition of Digital Twins. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 103-122). Springer. https://doi.org/10.1007/978-3-031-67114-2_5

Rasool, S., Saleem, A., Ikram Ul Haq, M. & Jacobsen, R. H. (2024). Towards Zero Trust Security for Prosumer-Driven Verifiable Green Energy Certificates. In 2024 7th International Conference on Energy Conservation and Efficiency (ICECE) (pp. 1-6). IEEE. https://doi.org/10.1109/ICECE61222.2024.10505279

Taurone, F., Fehér, M., Sipos, M. & Lucani Rötter, D. E. (2024). TREAT - Two wRongs makE A righT: Efficient distributed storage and queries of IoT datasets with erasure coding and compression. In DEBS 2024: Proceedings of the 18th ACM International Conference on Distributed and Event-Based Systems (pp. 147-158). Association for Computing Machinery. https://doi.org/10.1145/3629104.3666039

Taurone, F., Dorsch, J., Lucani Rötter, D. E. & Zhang, Q. (2024). triaGeD: using compression for anomaly detection. In A. Bilgin, J. E. Fowler, J. Serra-Sagrista, Y. Ye & J. A. Storer (Eds.), Proceedings - DCC 2024: 2024 Data Compression Conference (pp. 588-588). IEEE. https://doi.org/10.1109/DCC58796.2024.00105

Amer, A. H. K. S. A., Alvarez Tunon, O., Ugurlu, H. I., Sejersen, J. L. F., Brodskiy, Y. & Kayacan, E. (2024). UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework. In 2023 21st International Conference on Advanced Robotics (ICAR) https://ieeexplore.ieee.org/abstract/document/10406819

Tola, D. & Corke, P. (2024). Understanding URDF: A Dataset and Analysis. IEEE Robotics and Automation Letters, 9(5), 4479-4486. Article 10478618. https://doi.org/10.1109/LRA.2024.3381482

Zhou, P. Y. (2024). Unleashing GPT on the Metaverse: Savior or Destroyer? [Point of View]. Proceedings of the IEEE, 112(10), 1572-1582. https://doi.org/10.1109/JPROC.2024.3462604

Wewer, C. R., Mahapatra, H., Esterle, L. & Larsen, P. G. (2024). Using FactoryML for Deployment of Machine Learning Models in Industrial Production. In T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter & F. Tramarin (Eds.), 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024 IEEE. https://doi.org/10.1109/ETFA61755.2024.10710938

Moltke, A., R Smith, C., I Miakota, D., Jektvik, C. D., Davidsen, R. S., Canulescu, S. & Bang, O. (2024). UV source for solar cell processing and scatterometry. In Frontiers in Ultrafast Optics: : Biomedical, Scientific, and Industrial Applications XXIV SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.3002225

Naveed, K. & Larsen, J. J. (2024). Variational Mode Decomposition Based Processing of Surface NMR Data. In NSG2024, 30th European Meeting of Environmental and Engineering Geophysics European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420100

Naveed, K. & Ur Rehman, N. (2024). Variational Mode Decomposition Denoising Using Anderson-Darling Statistics. In 2024 9th International Conference on Frontiers of Signal Processing, ICFSP 2024 (pp. 189-193). IEEE. https://doi.org/10.1109/ICFSP62546.2024.10785266

Tunon, O. A. (2024). Vision-based navigation for underwater safety-critical applications. [PhD dissertation, Aarhus University].

H. Bohlbro, C., Macedo, H. D., Tola, D., Esterle, L. & Larsen, P. G. (2024). Visualisation in a Digital Twin Context. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 175-188). Springer. https://doi.org/10.1007/978-3-031-66719-0_8

Staugaard, J., Bennedsen, J., Seidl, C., Nicolajsen, S., Fink, M. & Brabrand, C. (2024). Visualizing the Conceptual Framework of Object Orientation for Novice Programmers. In 2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings IEEE. https://doi.org/10.1109/FIE61694.2024.10893141

Amer, A. H. K. S. A., Mehndiratta, M., Sejersen, J. L. F., Pham, X. H. & Kayacan, E. (2024). Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection. In 2023 21st International Conference on Advanced Robotics (ICAR) (pp. 431-438). IEEE. https://doi.org/10.1109/ICAR58858.2023.10406329

Layek, K., Nair, S. V., Hari Krishnan, P. & Hatua, K. (2024). Voltage Angle-Based Torque Control of Dual Three-Phase Interior Permanent Magnet Synchronous Motor Considering Mismatch in Winding Parameters. IEEE Transactions on Industrial Electronics, 71(9), 10119-10129. https://doi.org/10.1109/TIE.2023.3329210

Das, K. K., Soni, S., Moradi, F., Shreya, S. & Kaushik, B. K. (2024). Vortex Spin Torque Nano Oscillator-based PUF and TRNG Design for Lightweight Security Solutions. In 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) IEEE. https://doi.org/10.1109/EDTM58488.2024.10511353

Oleksiienko, I., Nousi, P., Passalis, N., Tefas, A. & Iosifidis, A. (2024). Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Computing and Applications, 36(32), 20341-20354. https://doi.org/10.1007/s00521-024-10259-2

Oshnoei, S., Aghamohammadi, M. R., Heidary, J. & Khooban, M. H. (2024). Watermarking-Based Defense Mechanism in LFC of Electricity Grids Compromised by Covert Attacks. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(10), 4576-4580. https://doi.org/10.1109/TCSII.2024.3396734

Ulsig, E., Madsen, M., J. Stanton, E., Reddy, D., Leger, A., Sørensen, S., Degli-Eredi, I., Stevens, M., Hamel, D., Shalm, L., Mirin, R. & Volet, N. (2024). Widely tunable integrated GaAs and AlGaAs platforms for efficient second-order frequency conversion. https://doi.org/10.1364/opticaopen.25540030.v1

Spasaro, M. & Zito, D. (2023). 0.52-mW 30-GHz LNA in 22-nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3752-3756. https://doi.org/10.1109/TCSII.2023.3288354

Rezaeiyan, Y., Kolivand, Y., Zamani, M., Shoaei, O., Akbari, M., Moradi, F. & Tang, K. T. (2023). A 4.5 μW Miniaturized 3-Channel Wireless Intra-Cardiac Acquisition System. IEEE Transactions on Biomedical Circuits and Systems, 17(5), 1097-1110. https://doi.org/10.1109/TBCAS.2023.3294560

Koolivand, Y., Rezayean, Y., Zamani, M., Akbari, M., Shoaei, O., Tang, K. T. & Moradi, F. (2023). A 69MHz-Bandwidth 40V/μs-Slew-rate 3nV/√Hz-Noises 4.5μV-Offset Chopper Operational Amplifier. In 2023 IEEE Custom Integrated Circuits Conference (CICC): Proceedings IEEE. https://doi.org/10.1109/CICC57935.2023.10121273

Hansen, S. T. (2023). Accurate Co-simulation of Cyber-Physical Systems. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Bjerge, K., Alison, J., Dyrmann, M., Frigaard, C. E., Mann, H. M. R. & Høye, T. T. (2023). Accurate detection and identification of insects from camera trap images with deep learning. PLOS Sustainability and Transformation, 2(3), Article e0000051. https://doi.org/10.1371/journal.pstr.0000051

Far Brusatori, M., Klein, H. & Volet, N. (2023). Achieving High Stability of Dual-Wavelength U-Shaped Laser in the C-Band Using Optical Feedback. IEEE Photonics Technology Letters, 35(10), 573-576. https://doi.org/10.1109/lpt.2023.3264160

Tajalli , S. Z. & Khooban, M. H. (2023). A Cloud-Edge-Based Framework for Electric Vehicle Emergency Energy Trading. Inventions, 8(1), Article 27. https://doi.org/10.3390/inventions8010027

Doan Nhut, T. & Zito, D. (2023). A Compact DC-110GHz SPST Switch in 22nm FDSOI CMOS. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(10), 3812-3816. https://doi.org/10.1109/TCSII.2023.3291081

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2023). Adaptive Fuzzy Q-Learning Control Design and Application to Grid-Tied Nine-level Packed E-Cell (PEC9) Inverter. IEEE Transactions on Industrial Electronics, 70(1), 1071-1076. https://doi.org/10.1109/TIE.2022.3153803

Gheisarnejad Chirani, M., Mirzavand, G., Rouhi Ardeshiri, R., Andresen, B. & Khooban, M. H. (2023). Adaptive Speed Control of Electric Vehicles Based on Multi-Agent Fuzzy Q-Learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. https://doi.org/10.1109/TETCI.2022.3181159

Asif, M. R., Maurya, P. K., Foged, N. & Christiansen, A. V. (2023). A DATA DRIVEN APPROACH FOR ROBUST INVERSION OF INDUCED POLARIZATION EFFECTS IN TRANSIENT ELECTROMAGNETIC DATA. In APPLICATION OF GEOPHYSICS TO ENGINEERING AND ENVIRONMENTAL PROBLEMS: SYMPOSIUM. 35TH 2023. (SAGEEP 2023) (pp. 82-82). Curran Associates.

Khare, S. K. & Acharya, U. R. (2023). Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signals. Knowledge-Based Systems, 278, Article 110858. https://doi.org/10.1016/j.knosys.2023.110858

Frasheri, M., Ejersbo, H., Thule, C., Gomes, C., Kvistgaard, J. L., Larsen, P. G. & Esterle, L. (2023). Addressing time discrepancy between digital and physical twins. Robotics and Autonomous Systems, 161, Article 104347. https://doi.org/10.1016/j.robot.2022.104347

Jensen, M., Toft Jacobsen, J., Sharifirad, I. & Boudjadar, J. (2023). Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs. In J. Chen & L. T. Yang (Eds.), 2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys): Proceedings (pp. 558-565). IEEE. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys60770.2023.00082

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