Project

Deep learning within CT imagery for airport luggage scanning

Publisher

Supervisor

Location

Greater Copenhagen area

Background:

We are developing a new, autonomous scanner that can automatically detect threats, thereby making luggage screening in airports faster and easier. The scanner uses computed tomography (CT) to acquire the interior contents of the scanned luggage. For a reliable detection of threats, obtaining high-quality images is crucial. In this project, we aim at using deep learning to improve image quality when the acquired data is under-sampled (compressed sensing). The objective of this student project is to combine rapid CT scanning technology with filtering techniques extracted via machine learning.


Learning & Research Objectives:

- Learn about key data science aspects (e.g., normalization and data augmentation)
- Investigate improvements for image filtering network architectures (based on convolutional neural networks)
- Develop and experiment with new, emerging deep learning architectures
- Contribute to the integration of the results into industrial CT scanning workflows

Requirements:

Knowledge in machine learning, image analysis and Python is preferred. Prior experience with deep learning frameworks is advantageous, though this can also be acquired during the project.

Project organization:

The project can be carried out individually or in a group. The selected candidate(s) will be supervised by post-doctoral academics in the section of "Image Analysis and Computer Graphics". The project can be flexibly adapted to fit BSc./MSc. thesis projects as well as BSc./MSc. project internships alike.



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Contact

Company / Organization

DTU Compute

Name

Wail Mustafa

Position

Postdoc

Mail

wamus@dtu.dk

Supervisor info

Artificial Intelligence and Data

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

BSc in Electrical Engineering

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

BSc in Mathematics and Technology

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

BSc in Software Technology

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

Bachelor of Engineering

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

Bachelor of Engineering, Electrical and Electronic Engineering

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

Bachelor of Engineering, Software Engineering

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

Bachelor of Engineering,

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

Bachelor of Engineering, Software Engineering

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

MSc in Computer Science and Engineering

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

MSc in Electrical Engineering

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

MSc in Mathematical Modelling and Computation

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

MSc in Physics and Nanotechnology

Supervisor

Wail Mustafa

Co-supervisors

Christian Kehl, Søren K. S. Gregersen

Type

Final project, BSc project, MSc thesis, Special course

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.


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