Projects per year
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Dive into the research topics where Department of Electrical and Computer Engineering - Signal Processing and Machine learning is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Michael Alrøe
- Department of Electrical and Computer Engineering - Signal Processing and Machine learning - Group Leader, Associate Professor
Person: VIP
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Robust and automatic TEM processing using machine learning
Asif, M. R. (Project manager)
15/10/2025 → 14/10/2028
Project: PhD Project
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Ethio-Nature: Enhancing groundwater resource management through remote sensing and ecohydrological nature-based solutions in Ethiopia
Asif, M. R. (PI) & Christiansen, A. V. (CoPI)
01/04/2025 → 31/03/2030
Project: Research
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Integrating Machine Learning and Remote Sensing for Predicting Hydrological Properties from Geophysical Data
Asif, M. R. (Supervisor), Christiansen, A. V. (Supervisor), Meldgaard Madsen, L. (Supervisor) & Hannibalsen, J. (Project manager)
01/03/2025 → 29/02/2028
Project: PhD Project
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Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning
Andreas Balle Rubak, J., Naveed, K., Jain, S., Esterle, L., Iosifidis, A. & Pauwels, R., 16 Jan 2026, (E-pub / Early view) In: Dento maxillo facial radiology.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
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A comprehensive experimental and numerical study of Taylor-Couette flow on superhydrophobic surfaces
Safari, A., Saidi, M. H., Salavatidezfouli, S., Ma, W. & Yao, S., May 2025, In: AIP Advances. 15, 5, 055012.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Open Access2 Citations (Scopus) -
Adaptive Robust Control Integrated With Gaussian Processes for Quadrotors: Enhanced Accuracy, Fault Tolerance and Anti-Disturbance
Liang, W., Amer, A., Mehndiratta, M., Chen, Z., Yao, B. & Kayacan, E., 2025, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 55, 5, p. 3235-3248 14 p.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
1 Citation (Scopus)
Activities
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Deep Learning Techniques for Long-Tailed Image Classification (Master Thesis)
Bjerge, K. (Examiner)
16 Jan 2025Activity: Evaluation, external lectures and examination › Examination
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Structural 3D Canopy Reconstruction of Mature Crops from 2D Video Data (Master Thesis)
Bjerge, K. (Examiner)
15 Jan 2025Activity: Evaluation, external lectures and examination › Examination
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The Missing Link – Why We Need Sensors to Tell Us What the Machine is Doing?
Nyholm Jørgensen, R. (Lecturer)
6 Mar 2024Activity: Presentations, memberships, employment, ownership and other activities › Lecture and oral contribution
Prizes
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File
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Best Paper Award - 5th International Conference on Deep Learning Theory and Applications
Bjerge, K. (Recipient), 10 Jul 2024
Prize: Prizes, scholarships, distinctions
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Press/Media
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Vejdirektoratet tager kunstig intelligens i brug mod invasive arter
25/06/2020
1 Media contribution
Press/Media: Press / Media