Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

Publications

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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. I APPLICATION OF GEOPHYSICS TO ENGINEERING AND ENVIRONMENTAL PROBLEMS: SYMPOSIUM. 35TH 2023. (SAGEEP 2023) (s. 82-82). Curran Associates.
Asif, M. R., Kass, M. A., Herpe, M., Rawlinson, Z., Westerhoff, R., Larsen, J. J. & Christiansen, A. V. (2025). Comparative analysis of deep learning and traditional airborne electromagnetic data processing: A case study. Geophysics, 90(3), WA103-WA112. https://doi.org/10.1190/geo2024-0282.1
Asif, MR., Larsen, JJ. & Christiansen, AV. (2024). Automated Processing of Time-Domain Electromagnetic Data Influenced by Induced Polarization Effects. I NSG 2024 30th European Meeting of Environmental and Engineering Geophysics (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202420140
Asif, M. R. (2025). Benchmarking Deep Learning for Wetland Mapping in Denmark Using Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 11953-11962. https://doi.org/10.1109/JSTARS.2025.3563951
Asif, M. R., Kass, A., Larsen, J. J. & Christiansen, A. V. (2025). Identifying Induced Polarization Effects in TEM Data by Deep Learning. I 7th Asia Pacific Meeting on Near Surface Geoscience and Engineering, NSGE 2025 (s. 1-5). European Association of Geoscientists and Engineers, EAGE. https://doi.org/10.3997/2214-4609.202572056
Asif, M. R., Rafiei Foroushani, M., Jørgensen, R. N., Nørremark, M. & Teimouri, N. (2025). Assessing generalization of deep learning models for crop classification under climatic variability in Denmark. Abstract fra EGU General Assembly 2025, Vienna, Østrig. https://doi.org/10.5194/egusphere-egu25-9634
Asif, M. R., Kass, A., Larsen, J. J. & Christiansen, A. V. (2024). Identification of Induced Polarization affected Transient Electromagnetic Data by Deep Learning. Poster-session præsenteret på AGU Fall meeting 2024, Washington DC, USA. https://ui.adsabs.harvard.edu/abs/2024AGUFMNS23B1231A/abstract
Asif, M. R., Rafiei, M., Jørgensen, R. N., Nørremark, M. & Teimouri, N. (2026). Impact of inter-seasonal climate variation on crop classification with deep learning and Sentinel-1 data in Denmark. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 21880-21893. https://doi.org/10.1109/JSTARS.2026.3704500, https://doi.org/10.1109/JSTARS.2026.3704500
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. Artikel 9477203. https://doi.org/10.1109/TVT.2021.3094899.
Afshari-Igder, M., Rafiei Foroushani, M., Boudjadar, J. & Khooban, M. H. (2021). Reliability and Safety Improvement of Emission-Free Ships: Systemic Reliability Centered Maintenance. IEEE Transactions on Transportation Electrification, 7(1), 256-266. Artikel 9220168. https://doi.org/10.1109/TTE.2020.3030082

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Revideret 07.07.2026
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Muhammad Rizwan Asif