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Prof M Rodrigues
No more applications being accepted
Funded PhD Project (European/UK Students Only)
About the Project
A fully funded PhD studentship (funding for 3 years) is currently available on the topic of
Task-Specific Compressive Sensing: Theory and Applications
Starting date: September 2013 (or later, subject to agreement)
Please contact Miguel Rodrigues on [Email Address Removed] for further information.
Description of topic: The recent years have witnessed the emergence of a new sensing and acquisition modality that offers the means to succinctly and effectively represent the salient information of signals with no loss. This emerging sensing modality, emblematically known as Compressive Sensing, has been shown to have a myriad of applications ranging from signal, image and video compression and processing, to communications to medicine.
However, the current ever-growing availability of and demand for data is also calling for a new generation of sensing systems that are able to extract as effectively as possible only the data features out of the available data corpus that embody the information necessary to carry out a specific task, subject to a certain performance target. Such a sensing modality, which seeks to understand non-adaptively or even adaptively the task-specific nature of the data, be it reconstruction, detection, classification, recognition or localization, is then bound to offer compressive capabilities well beyond compressive sensing with important implications for data storage, processing and communications and future sensing systems.
The work aims to explore the theory and practice – via emerging applications in imaging – of task-specific compressive sensing systems. The work to be developed is also industrially and commercially relevant with applications in various domains, e.g. M2M, Internet of Things.
The work will primarily involve the mathematical analysis and simulation of compressive sensing systems.
Keywords: Compressive Sensing, Signal Processing, Image Processing, Information Theory, Matlab, Mathematica
The applicant is expected to have a first class honours degree in Electrical Engineering, Computer Science or Mathematics and be familiar and have basic knowledge in one or more areas covered by the above keywords. An MSc or equivalent qualification in the area of Signal Processing is desirable. Having publications in journals and/or conferences and expertise in Matlab is also advantageous.
Applications: should be made using the UCL postgraduate study application form. Candidates should indicate on the application form under 'Name of Proposed supervisor' the title of the PhD they are applying for. See:
http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission/apply-online/
Task-Specific Compressive Sensing: Theory and Applications
Starting date: September 2013 (or later, subject to agreement)
Please contact Miguel Rodrigues on [Email Address Removed] for further information.
Description of topic: The recent years have witnessed the emergence of a new sensing and acquisition modality that offers the means to succinctly and effectively represent the salient information of signals with no loss. This emerging sensing modality, emblematically known as Compressive Sensing, has been shown to have a myriad of applications ranging from signal, image and video compression and processing, to communications to medicine.
However, the current ever-growing availability of and demand for data is also calling for a new generation of sensing systems that are able to extract as effectively as possible only the data features out of the available data corpus that embody the information necessary to carry out a specific task, subject to a certain performance target. Such a sensing modality, which seeks to understand non-adaptively or even adaptively the task-specific nature of the data, be it reconstruction, detection, classification, recognition or localization, is then bound to offer compressive capabilities well beyond compressive sensing with important implications for data storage, processing and communications and future sensing systems.
The work aims to explore the theory and practice – via emerging applications in imaging – of task-specific compressive sensing systems. The work to be developed is also industrially and commercially relevant with applications in various domains, e.g. M2M, Internet of Things.
The work will primarily involve the mathematical analysis and simulation of compressive sensing systems.
Keywords: Compressive Sensing, Signal Processing, Image Processing, Information Theory, Matlab, Mathematica
The applicant is expected to have a first class honours degree in Electrical Engineering, Computer Science or Mathematics and be familiar and have basic knowledge in one or more areas covered by the above keywords. An MSc or equivalent qualification in the area of Signal Processing is desirable. Having publications in journals and/or conferences and expertise in Matlab is also advantageous.
Applications: should be made using the UCL postgraduate study application form. Candidates should indicate on the application form under 'Name of Proposed supervisor' the title of the PhD they are applying for. See:
http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission/apply-online/
Funding Notes
The available funding includes an annual tax-free stipend of £15,590 and tuition fees at a home/EU rate. Travel costs to workshops and conferences is also included.
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