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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Merhi, Y., Lozano Montero, K., Johansen, P., Mantysalo, M. & Agarwala, S. (2025). Evaluating Piezoelectric Performance of Biodegradable PLLA Film and Its Application for Aortic Annuloplasty. https://chemrxiv.org/engage/chemrxiv/article-details/677788f9fa469535b99d3829

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

Merhi, Y. (2025). Piezoelectric and Crystallinity Enhancements in Poly-L-Lactide Acid (PLLA) for Bioresorbable Biomedical Sensor. [PhD dissertation, Aarhus University].

Merhi, Y., Goumarre, V., Romanyuk, K., Amarasinghe, Y., Kholkin, A., Klarskov, P. & Agarwala, S. (2025). Advancing green electronics: tunable piezoelectric enhancement in biodegradable poly(l-lactic acid) PLLA films through thermal-strain engineering. Nanoscale Horizons, 10(7), 1414-1427. https://doi.org/10.1039/d5nh00142k

Merhi, Y., Montero, K. L., Johansen, P., Mäntysalo, M. & Agarwala, S. (2026). Harnessing piezoelectric poly L lactic acid for enhanced sensing in aortic annuloplasty. npj Flexible Electronics, 10, Article 31. https://doi.org/10.1038/s41528-026-00533-9

Mendes, J. M., Frasheri, M. & Larsen, P. G. (2025). Digital Twin-Enabled Collision Mitigation for Path Constrained Applications. In 2025 11th International Conference on Automation, Robotics, and Applications (ICARA) (2025 ed., pp. 394-398) https://doi.org/10.1109/ICARA64554.2025.10977591

Meldgaard Madsen, L., Asif, M. R., Maurya, P. K., Kühl, A. K., Domenzain, D., Jensen, C., Martin, T., Bastani, M. & Persson, L. (2023). Comparison of tTEM-IP and ERT-IP: Cases from Mine Tailing Sites in Sweden. Abstract from NSG2023 29th European Meeting of Environmental and Engineering Geophysics, Edinburgh , United Kingdom. https://doi.org/10.3997/2214-4609.202320114

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, 10(18), Article 2187. https://doi.org/10.3390/electronics10182187

McLachlan, P. J., Khare, S. K., Grombacher, D., Larsen, J. J., A. Christiensen, A. & Luria, J. C. Z. (2022). On The Presence of Correlated Noise in Transient Electromagnetic (Tem) Monitoring Data. 1-5. Abstract from NSG2022 28th European Meeting of Environmental and Engineering Geophysics, Belgrade , Serbia. https://doi.org/10.3997/2214-4609.202220119

McLachlan, P. J., Khare, S. K., Grombacher, D., Larsen, J. J., Christensen, A. & Zamora Luria, J. C. (2022). On The Presence of Correlated Noise in Transient Electromagnetic (Tem) Monitoring Data. In NSG2022 28th European Meeting of Environmental and Engineering Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202220119

Mazur-Milecka, M., Kowalczyk, N., Jaguszewska, K., Zamkowska, D., Wójcik, D., Preis, K., Skov, H., Wagner, S., Sandager, P., Sobotka, M. & Rumiński, J. (2023). Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data. In P. Strumiłło, A. Klepaczko, M. Strzelecki & D. Bociąga (Eds.), The Latest Developments and Challenges in Biomedical Engineering: Proceedings of the 23rd Polish Conference on Biocybernetics and Biomedical Engineering, Lodz, Poland, September 27–29, 2023 (pp. 267-281). Springer. https://doi.org/10.1007/978-3-031-38430-1_21

Matsumoto, A., Kusumanchi, P., Madsen, J. G., Jørgensen, A. C., dos Reis Benatto, G. A., Thorsteinsson, S., Poulsen, P. B., Yonehara, K., Bek, T., Keller, S. S. & Davidsen, R. S. (2026). Photovoltaic Stimulation of Mouse and Pig Retina With Pyrolytic Carbon Microelectrodes Integrated on High-Density Silicon Solar Cell Arrays. Advanced Healthcare Materials, 15(36), Article e71651. https://doi.org/10.1002/adhm.71651

Masoudian, A., Jakobsen, U. & Khooban, M. H. (2025). Emulation of Variational Quantum Circuits on Embedded Systems for Real-Time Quantum Machine Learning Applications. Designs, 9(4), Article 87. https://doi.org/10.3390/designs9040087

Masoudian, A., Jakobsen, U., Hafshejani, S. F. & Khooban, M. H. (2026). Quantum-Driven Intelligent Controller Design for DC–DC Boost Converters. IEEE Journal of Emerging and Selected Topics in Power Electronics, 14(4), 5188-5199. https://doi.org/10.1109/JESTPE.2026.3685135

Masoudian, A., Jakobsen, U. & Khooban, M. H. (2026). Quantum-Inspired Reinforcement Learning Controller for DC–DC Power Converters Supplying Constant Power Loads. IEEE Access, 14, 129518-129531. https://doi.org/10.1109/ACCESS.2026.3725797

Marinoudi, V., Lampridi, M., Kateris, D., Pearson, S., Sørensen, C. G. & Bochtis, D. (2021). The future of agricultural jobs in view of robotization. Sustainability (Switzerland), 13(21), Article 12109. https://doi.org/10.3390/su132112109

Marinoudi, V., Benos, L., Camacho Villa, C., Lampridi, M., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Adapting to the Agricultural Labor Market Shaped by Robotization. Sustainability, 16(16), Article 7061. https://doi.org/10.3390/su16167061

Marinoudi, V., Benos, L., Villa, C. C., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Large language models impact on agricultural workforce dynamics: Opportunity or risk? Smart Agricultural Technology, 9, Article 100677. https://doi.org/10.1016/j.atech.2024.100677

Marcano, N. J. H., Diez, L., Calvo, R. A. & Jacobsen, R. H. (2021). On the Queuing Delay of Time-Varying Channels in Low Earth Orbit Satellite Constellations. IEEE Access, 9, 87378-87390. Article 9454162. https://doi.org/10.1109/ACCESS.2021.3089005

Marcano, N. J. H., Diez, L., Aguero, R. & Jacobsen, R. H. (2022). Finite Buffer Queuing Delay Performance in the Low Earth Orbit Land Mobile Satellite Channel. In 2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 (pp. 132-137). IEEE. https://doi.org/10.1109/WCNC51071.2022.9771859

Marandi, S. A., Sehat, H., Lucani Rötter, D. E., Mousavifar, S. & Jacobsen, R. H. (2021). Network Coding-based Data Storage and Retrieval for Kademlia. In 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings Article 9448845 IEEE. https://doi.org/10.1109/VTC2021-Spring51267.2021.9448845

Marandi, A., Alves, P. G. M. R., Aranha, D. F. & Jacobsen, R. H. (2024). Lattice-based Homomorphic Encryption for Privacy-Preserving Smart Meter Data Analytics. The Computer Journal, 67(5), 1687-1698. https://doi.org/10.1093/comjnl/bxad093

Mantysalo, M., Marrocco, G., Agarwale, S., Grau, G. & Gao, W. (2025). Guest Editorial: Special Issue of Selected Extended Papers From the IEEE International Conference on Flexible, Printable Sensors and Systems (FLEPS) 2024. IEEE Journal on Flexible Electronics, 4(1), 2-3. https://doi.org/10.1109/JFLEX.2025.3556389

Mann, H. M. R., Iosifidis, A., Jepsen, J. U., Welker, J. M., Loonen, M. J. J. E. & Høye, T. T. (2022). Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning. Remote Sensing in Ecology and Conservation, 8(6), 765-777. https://doi.org/10.1002/rse2.275

Malmqvist, J., Lundqvist, U., Rosén, A., Edström, K., Gupta, R., Leong, H., Cheah, S. M., Bennedsen, J., Hugo, R., Kamp, A., Leifler, O., Gunnarsson, S., Roslöf, J. & Spooner, D. (2022). The CDIO Syllabus 3.0 - An Updated Statement of Goals. In 18th CDIO International Conference Proceedings - Full papers (pp. 18-36) https://en.ru.is/media/cdio2022/CDIO_2022_Proceedings.pdf

Malik, J., Kiranyaz, S., Al-Raoush, R. I., Monga, O., Garnier, P., Foufou, S., Bouras, A., Iosifidis, A., Gabbouj, M. & Baveye, P. C. (2022). 3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. Computers & Geosciences, 159, Article 105017. https://doi.org/10.1016/j.cageo.2021.105017

Mahto, K. K., Mahato, B., Chandan, B., Das, D., Das, P., Kumari, S., Vita, V., Pavlatos, C. & Fotis, G. (2024). A Modified Criss-Cross-Based T-Type MLI with Reduced Power Components. Technologies, 12(6), Article 90. https://doi.org/10.3390/technologies12060090

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

Maheshwari, R., Loidl, M., Khare, R. & Cools, M. (2025). Are we measuring what matters? A multilayered framework evaluating active mobility infrastructure through PLOS, BLOS and 15 minute city principles. Journal of Cycling and Micromobility Research, 6, Article 100089. https://doi.org/10.1016/j.jcmr.2025.100089

Mahapatra, D., Das, A., Pandey, M., Dhar, J., Roy, S., Ge, Z., Bozorgtabar, B. & Razzak, I. (2026). Proximity-Constrained Counterfactual Decoding for Hallucination-Robust Medical VQA. In P. Favaro, Z. Kukelova, A. Maki, A. Rohrbach, K. Schindler & F. Tombari (Eds.), Computer Vision – ECCV 2026: 19th European Conference, Malmö, Sweden, September 8–12, 2026, Proceedings, Part LVII (pp. 421-437). Springer Science+Business Media. https://doi.org/10.1007/978-3-032-37335-9_23

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

Magris, M. & Iosifidis, A. (2023). Bayesian learning for neural networks: an algorithmic survey. Artificial Intelligence Review, 56(10), 11773-11823. https://doi.org/10.1007/s10462-023-10443-1

Magris, M. & Iosifidis, A. (2023). Variational Inference for GARCH-family Models. In ICAIF 2023 - 4th ACM International Conference on AI in Finance (pp. 541-548). Association for Computing Machinery. https://doi.org/10.1145/3604237.3626863

Magris, M., Shabani, M. & Iosifidis, A. (2024). Manifold Gaussian Variational Bayes on the Precision Matrix. Neural Computation, 36(9), 1744-1798. https://doi.org/10.1162/neco_a_01686

Magris, M., Shabani, M. & Iosifidis, A. (2026). Quasi black-box variational inference for Bayesian learning. Pattern Recognition, 177, Article 113219. https://doi.org/10.1016/j.patcog.2026.113219

Madupuri, R. P., Enduri, M. K., Sobin, C. C., Koduru, H. & Bandaru, N. (2026). A hybrid machine learning and centrality framework for key node identification in complex networks. Discover Computing, 29(1), Article 8. https://doi.org/10.1007/s10791-025-09900-y

Madsen, E., Tola, D., Hansen, C., Gomes, C. & Larsen, P. G. (2022). AURT: A Tool for Dynamics Calibration of Robot Manipulators. In 2022 IEEE/SICE International Symposium on System Integration, SII 2022 (pp. 190-195). IEEE. https://doi.org/10.1109/SII52469.2022.9708769

Madsen, M. L., Ulsig, E. Z., Folsach, S., Godoy, P. H., Stanton, E. J. & Volet, N. (2023). Mid-infrared difference-frequency generation in AlGaAs-on-insulator waveguides. Journal of the Optical Society of America B: Optical Physics, 40(7), 1742-1748. https://doi.org/10.1364/JOSAB.488065

Madsen, J. G., Kusumanchi, P., Bek, T., Keller, S. S. & Davidsen, R. S. (2026). Spatial variation of evoked potentials in porcine retinas characterized by multi electrode array upon stimulation via 3D pyrolytic carbon electrodes. Frontiers in Neuroscience, 20, Article 1808212. https://doi.org/10.3389/fnins.2026.1808212

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

Macedo, H. D., Thule, C. & Pierce, K. (2021). Proceedings of the 19th International Overture Workshop. https://arxiv.org/abs/2110.09371

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/

Macedo, H. D., Sassanelli, C., Larsen, P. G. & Terzi, S. (2021). Facilitating model-based design of cyber-manufacturing systems. Procedia CIRP, 104, 1936-1941. https://doi.org/10.1016/j.procir.2021.11.327

Macedo, H. D. & Pierce, K. (Eds.) (2022). Proceedings of the 20th International Overture Workshop. https://doi.org/10.48550/arXiv.2208.10233

Macedo, H. D. & Touili, T. (2013). Mining Malware Specifications through Static Reachability Analysis.

Macedo, H. D. & Oliveira, J. N. (2013). Typing linear algebra: A biproduct-oriented approach.

Macedo, H. D. & Pierce, K. (2023). Proceedings of the 21st International Overture Workshop. http://arxiv.org/pdf/2311.07120v2

Maalandish, M., Babaeian, E., Abolhasani, P., Gheisarnejad Chirani, M. & Khooban, M. H. (2023). Ultra high step-up soft-switching DC/DC converter using coupled inductor and interleaved technique. IET Power Electronics, 16(8), 1320-1338. https://doi.org/10.1049/pel2.12472

Maalandish, M., Hosseini, S. H., Sabahi, M., Rostami, N. & Khooban, M. H. (2023). B-MIMO high step-up DC/DC converter with high capability to control inputs. IET Power Electronics, 16(9), 1499-1513. https://doi.org/10.1049/pel2.12486

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

Displaying results 601 to 650 out of 1554

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