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Department of Electrical and Computer Engineering

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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Munshi, M. T. & Klarskov, P. (2021). Laser Terahertz Emission Microscopy of Gold Nanorods forming a Coffee-stain Ring on a Semiconductor Surface. In 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021 IEEE. https://doi.org/10.1109/IRMMW-THz50926.2021.9566850

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://doi.org/10.1109/GLOBECOM42002.2020.9348064

Mukherjee, M., Kumar, V., Zhang, Q., Mavromoustakis, C. X. & Matam, R. (2022). Optimal Pricing for Offloaded Hard- and Soft-Deadline Tasks in Edge Computing. IEEE Transactions on Intelligent Transportation Systems, 23(7), 9829-9839. https://doi.org/10.1109/TITS.2021.3117973

Mukherjee, M., Kumar, V., Kumar, S., Lloret, J., Zhang, Q. & Guo, M. (2021). Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. In 2021 IEEE Global Communications Conference (GLOBECOM) (Vol. 2021-January). IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685374

Mukherjee, M., Kumar, V., Kumar, S., Mavromoustakis, C. X., Zhang, Q. & Guo, M. (2022). RIS-assisted Task Offloading for Wireless Dead Zone to Minimize Delay in Edge Computing. In 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (pp. 2554-2559). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001478

Mrozowska, M. A., Avery, J., Stoustrup, A., Nuterman, R., Johnsen, C. J., Thormann, A. & Jochum, M. (2025). Bayesian Optimization With GPU Acceleration for Ocean Models. Journal of Geophysical Research: Machine Learning and Computation, 2(3), Article e2024JH000517. https://doi.org/10.1029/2024JH000517

Mousavi, S. A., GhahramanIzadi, Z. & Khooban, M. H. (2024). Empowering talkative power technology in wireless power transfer with machine learning. IET Power Electronics, 17(16), 3083-3092. https://doi.org/10.1049/pel2.12826

Mousaei, A., Gheisarnejad, M. & Khooban, M. H. (2023). Challenges and opportunities of FACTS devices interacting with electric vehicles in distribution networks: A technological review. Journal of Energy Storage, 73, Article 108860. https://doi.org/10.1016/j.est.2023.108860

Mosayebi, M., Sadeghzadeh, S. M., Gheisarnejad, M. & Khooban, M. H. (2021). Intelligent and Fast Model-Free Sliding Mode Control for Shipboard DC Microgrids. IEEE Transactions on Transportation Electrification, 7(3), 1662-1671. Article 9311751. https://doi.org/10.1109/TTE.2020.3048552

Mosayebi, M., Gheisarnejad Chirani, M., Farsizadeh, H. & Khooban, M. H. (2022). Design a Robust Powering 5G Telecommunication System Based-Sliding Mode Control. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 3(4), 946-953. https://doi.org/10.1109/JESTIE.2021.3111531

Mosayebi, M., Gheisarnejad Chirani, M., Farsizadeh, H., Andresen, B. & Khooban, M. H. (2023). Smart Extreme Fast Portable Charger for Electric Vehicles-Based Artificial Intelligence. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(2), 586-590. https://doi.org/10.1109/TCSII.2022.3176863

Mosayebi, M., Fathollahidehkordi, A., Gheisarnejad Chirani, M., Farsizadeh, H. & Khooban, M. H. (2022). Smart Emergency EV-to-EV Portable Battery Charger. Inventions, 7(2), Article 45. https://doi.org/10.3390/inventions7020045

Mosayebi, M., Gheisarnejad Chirani, M. & Khooban, M. H. (2022). An intelligent sliding mode control for stabilization of parallel converters feeding CPLs in DC-microgrid. IET Power Electronics, 15(14), 1596-1606. https://doi.org/10.1049/pel2.12329

Mosalmani, A., Rezaeiyan, Y., Richter, S., Zamani, M., Koolivand, Y. & Moradi, F. (2025). A 0.97 nJ/Conversion BJT-Based Temperature Sensor With a Low-Power Two-Stage Dynamic Comparator. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 33(10), 2815-2823. https://doi.org/10.1109/TVLSI.2025.3587799

Mørup, C., Kloborg, A. & Lucani Rötter, D. E. (2022). Extreme Bitmapping: Efficiently Sorting Data for Cloud Compression. In 2022 IEEE 11th International Conference on Cloud Networking (CloudNet) (pp. 247-251). IEEE. https://doi.org/10.1109/CloudNet55617.2022.9978780

Mortensen, A. K., Hansen, A. L. & Gislum, R. (2023). Kamera og kunstig intelligens til vurdering af sygdomstryk i sukkerroer. In Faglig beretning 2022: Verksamhetsberättelse (pp. 53-56). NBR Nordic Beet Research Foundation. https://www.nordicbeet.nu/wp-content/uploads/2023/02/nbr_aarsberetning_2022.pdf

Morsing, L. H., Heidari, N. & Iosifidis, A. (2022). Human Activity Recognition. In A. Iosifidis & A. Tefas (Eds.), Deep Learning for Robot Perception and Cognition (pp. 341-370). Elsevier. https://doi.org/10.1016/B978-0-32-385787-1.00019-1

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

Morante Moreno, M., Frølich, K., Shahzaib, M., shakil, S. & Rehman, N. U. (2024). Multiscale Functional Connectivity analysis of episodic memory reconstruction. Frontiers in Cognition, 3, Article 1433234. https://doi.org/10.3389/fcogn.2024.1433234

Morante, M., Frølich, K. & Rehman, N. U. (2025). Exploring functional connectivity at different timescales with multivariate mode decomposition. Frontiers in Neuroscience, 19, Article 1653007. https://doi.org/10.3389/fnins.2025.1653007

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

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

Moradi, F. & Zamani, M. (2021). Fremtiden for implanterbare mikroenheder i hjernen. Medicoteknik, 3(8), 10-11. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=10

Monisha, M. & Agarwala, S. (2022). Biodegradable materials: Foundation of transient and sustainable electronics. Materials Science in Additive Manufacturing, 1(3), Article 15. https://doi.org/10.18063/msam.v1i3.15

Monemi, M., Rasti, M., Ali Mousavi, S., Latva-Aho, M. & Haenggi, M. (2026). Higher-Order Meta Distribution Reliability Analysis of Wireless Networks. IEEE Transactions on Wireless Communications, 25, 9672-9686. https://doi.org/10.1109/TWC.2025.3644807

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

Mokarram, M., Pham, T. M. & Khooban, M. H. (2022). A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant. Environmental Science and Pollution Research, 29(56), 84661-84674. https://doi.org/10.1007/s11356-022-21734-5

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

Mohammadzadeh Shahir, F., Gheisarnejad Chirani, M., S. Sadabadi , M. & Khooban, M. H. (2021). A New Off-Board Electrical Vehicle Battery Charger: Topology, Analysis and Design. Designs, 5(3), Article 51. https://doi.org/10.3390/designs5030051

Mohammadzadeh Shahir, F., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). A New Transformer-Less Structure for a Boost DC-DC Converter with Suitable Voltage Stress. Automation , 2(4), 220-237. https://doi.org/10.3390/automation2040014

Mohammadnia, A., M. Ziapour, B., Ghaebi, H. & Khooban, M. H. (2021). Feasibility assessment of next-generation drones powering by laser-based wireless power transfer. Optics & Laser Technology, 143, Article 107283. https://doi.org/10.1016/j.optlastec.2021.107283

Mohammadi Moghadam, H., Gheisarnejad Chirani, M., Yalsavar, M., Foroozan, H. & Khooban, M. H. (2021). A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation. Inventions, 6(2), Article 40. https://doi.org/10.3390/inventions6020040

Mohammadi Moghadam, H., Mohammadzadeh, A., Hadjiaghaie Vafaie, R., Tavoosi, J. & Khooban, M. H. (2022). A type-2 fuzzy control for active/reactive power control and energy storage management. Transactions of the Institute of Measurement and Control, 44(5), 1014-1028. https://doi.org/10.1177/01423312211048038

Mohammadi, S., Pahlevani, P. & Lucani, D. E. (2021). Perpetual Network Coding for Delay Sensitive Applications. Wireless Personal Communications, 120(2), 923-947. https://doi.org/10.1007/s11277-021-08497-x

Miyazawa, A., Ahmadi, S., Cavalcanti, A., Baxter, J., Post, M., Ribeiro, P., Timmis, J. & Wright, T. (2025). Diagrammatic physical robot models. Software and Systems Modeling, 24(5), 1549-1593. Article 103720. https://doi.org/10.1007/s10270-025-01270-9

Miranda, J., Wagner, S. R., Mazur-Milecka, M. & Rumiński, J. (2024). Test and Validation of an Internet of Things Platform for Remote Monitoring of Pregnant Women. In V. Ferraro, M. Covarrubias, E. Zdravevski, I. M. Pires, J. M. Marques Martins de Almeida & N. J. Gonçalves (Eds.), IoT Technologies and Wearables for HealthCare (pp. 3–13). Springer. https://doi.org/10.1007/978-3-031-71911-0_1

Minh Nguyen, Q., Tran, D. T., Kanniainen, J., Iosifidis, A. & Gabbouj, M. (2024). Cryptocurrency Portfolio Optimization by Neural Networks. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 25-32). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371855

Millinge, O., Böttner, C. & Asif, MR. (2024). Deep Learning based Identification of Oil-Slick Emissions in the Arctic Using Satellite SAR Data. In NSG 2024 4th Conference on Airborne, Drone and Robotic Geophysics (pp. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420159

Mikutavicius, R., Álvarez-Tuñón, O., Brodskiy, Y. & Sarabakha, A. (2025). Towards End-to-End Underwater vSLAM Using Neural Radiance Fields. In OCEANS 2025 Brest, OCEANS 2025 IEEE. https://doi.org/10.1109/OCEANS58557.2025.11104336

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, 2454–2461. Article 565244. https://doi.org/10.3389/fncom.2021.565244

Mikkelsen, K., Phan, H., Rank, M. L., Hemmsen, M. C., De Vos, M. & Kidmose, P. (2022). Sleep monitoring using ear-centered setups: Investigating the influence from electrode configurations. IEEE Transactions on Biomedical Engineering, 69(5), 1564-1572. https://doi.org/10.1109/TBME.2021.3116274

Mikkelsen, K. B., Tabar, Y. R., Toft, H. O., Hemmsen, M. C., Rank, M. L. & Kidmose, P. (2022). Self-applied ear-EEG for sleep monitoring at home. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 3135-3138). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871076

M. Hanafy Mahmoud , N., Jensen, A. L., Topp, C. F. E., Grøn Sørensen, C., Nørremark, M., Eory, V. & Hutchings, N. (2021). A Method to Quantify the Detailed Risk of Serious Injury in Agricultural Production. Sustainability, 13(7), Article 3859. https://doi.org/10.3390/su13073859

M. Hanafy Mahmoud , N., Jensen, A. L., Topp, C. F. E., Grøn Sørensen, C., Nørremark, M., Eory, V. & Hutchings, N. (2021). A method to link serious injuries to agricultural operations and assess the impact of changes in agricultural systems.. Abstract from 2021 Nordic Meeting on Agricultural Occupational Health and Safety, Trondheim, Norway.

Meskin, M., Starkey, P. A., Kaspersen, A. E., Ringgaard, S., Sand, S. G., Nygaard, J. V., Jensen, J. A., Traberg, M. S. & Johansen, P. (2024). Investigating the importance of left atrial compliance on fluid dynamics in a novel mock circulatory loop. Scientific Reports, 14(1), 1864. Article 1864. https://doi.org/10.1038/s41598-024-52327-6

Merhi, Y. & Agarwala, S. (2022). Fabrication of flexible, and bioresorbable poly-l-lactide acid piezoelectric material with tunable properties. Materials Today: Proceedings, 70, 531-534. https://doi.org/10.1016/j.matpr.2022.09.553

Merhi, Y., Betancur, P. F., Ripolles, T. S., Suetta, C., Brage-Andersen, M. R., Hansen, S. K., Frydenlund, A., Nygaard, J. V., Mikkelsen, P. H., Boix, P. P. & Agarwala, S. (2023). Printed dry electrode for neuromuscular electrical stimulation (NMES) for e-textile. Nanoscale, 15(11), 5337-5344. https://doi.org/10.1039/d2nr06008f

Merhi, Y. & Agarwala, S. (2021). Direct write of Dry electrodes on Healthcare Textiles. In FLEPS 2021 - IEEE International Conference on Flexible and Printable Sensors and Systems Article 9469835 IEEE. https://doi.org/10.1109/FLEPS51544.2021.9469835

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

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