Department of Electrical and Computer Engineering

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Robust and automatic TEM processing using machine learning

The project is about automating TEM data processing workflows using machine learning and satellite imagery.

   

By leveraging multi-modal data fusion techniques to integrate optical imagery, infrared, SAR, and thermal data obtained from the satellites, we aim to provide complementary perspectives for the detection of conductive infrastructures on the surface or buried in the ground.

Partners

  • Seequent

Principal Investigator from ECE, AU:

Muhammad Rizwan Asif

Assistant Professor (Tenure Track)
M
H 5125, 318
P +4560909831

Co-Principal Investigator (Co-PI)

Anders Vest Christiansen

Professor
M
H 1671, 221
P +4529454305

About the project:

Grant source:
Innovationsfonden, Industrial PhD

Granted amount:
DKK 1.072.000 (ECE share: DKK 360.000)

Project start:
15/10/2025

Revised 24.06.2026
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Emma Peck-Thorsted