Supervised phd thesis

Supervised phd thesis

Supervised PhD Dissertation. Daniel B. Bürger. PhD Dissertation, Dept. Aerospace Structures and Materials, Delft University of Technology. Publication year: Abstract. Aerospace structures have been long dealing with the safety versus weight issue. Lighter airplanes are cheaper to operate, however, they may face a safety issue because of Feb 08,  · Supervised PhD theses. [ nach oben ] Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases. Bauer, André; (, December). [ nach oben ] Measuring, Rating, and Predicting the Energy Efficiency of Servers. von Kistowski, Jóakim; (, March). Automation in Software Performance Engineering Based on a PhD Theses. Prof. Mjolsness has supervised the following PhD theses (except his own at the end): () Oliver Ernst, PhD thesis, “Modeling Reaction-Diffusion Systems with Dynamic Boltzmann Distributions”. Jointly supervised with Prof. Terrence Sejnowski, UC San Diego, June [

Supervised PhD. thesis | amine-nait-ali

Facial ageing modelling. Farazdaghi, Thesis in progress. Facial ageing modelling consists in two parts: Make someone older and make an adult younger. Making someone younger is more difficult and challenging part of the face modelling because it needs to change both craniofacial morphology and skin texture. Now we are done with this part. We propose a component based method for introducing a geometrical model to show an adult face in supervised phd thesis childhood. In this recursive model, the face contour and components are changed non-linearly.

We are using an adult facial image as supervised phd thesis input, facial components and supervised phd thesis and are changed according to extracted measures belong to the target cluster. Final results come from merging the geometrical result and face mean in the same cluster. Using this approach, we can make the individual younger, up to 3 years old. Supervisor : Prof.

Brain waves decoding : application to biometrics. Kerbaj, Thesis in progress. The main work was focused on a defined protocol with the objective to supervised phd thesis authentication methods using brain waves. For this protocol, I did not have any participating subjects since the protocol was applied to me. Results will be published in an article. Supervisors : Prof. Nait-ali and Prof. Generalized Multi Directions Radon Transform. I, El Ouadi, Thesis in progress.

In this theoretical study, Discrete Generalized Multi Directions Radon Transform GMDRT and its exact inversion algorithm is considered as a pattern recognition tool. GMDRT is an extension of the Classical Radon Transform. It aims to project parameterized curves and geometric objects following several directions. For this purpose, we have proposed an algebraic formalism of Radon Transform presenting the forward transform as a matrix-vector multiplication.

We showed that the exact inversion of the GMDRT exists. This property allows useful applications within digital image processing field. Nait-aliCo-supervisors: Dr. Fournier and Prof, supervised phd thesis. Hand X-Ray image characterization: application to biometrics. Kabbara, Thesis in french. Palm-print based biometric systems are known to be sensitive to spoofing.

The idea behind this thesis is to propose some new approaches to identify persons using hand X-ray images. Even if such systems cannot be used in daily routine, this technique can be employed when high-level security is required. In terms of image processing, a segmentation technique is used to extract regions of interest; therefore each region is modeled using a certain number of parameters. These parameters are considered as a signature for each individual.

Co-supervisors: Dr. Shahin and Prof. Stabilogram biosignal analysis using Fractal techniques. Maatar, Thesis in french. The analyzed approach consists in using the stabilogram signal as a soft biometric tool in order to extract some relevant features from a standing position of persons. Using the PCA Principal Analysis Component decomposition method, center of pressure time series are analyzed. More specifically, the stabilogram is decomposed into three components, namely: trend, rambling and trembling.

Studying the trace of analytic trembling respectively of rambling in the complex plan highlights a unique rotation center. This specification allows the definition of the phase and allows the extraction of phase fluctuation. These parameters represent efficient indicators related to postural equilibrium status of healthy subjects.

Nait-ali, Co-supervisors: Dr. Human Brain characterization: Feasibility study in Biometrics. Aloui, Thesis in french. The purpose of this work is to study an approach which consists in using MRI images for the identification or verification of persons. In other words, supervised phd thesis, we ask the following question: can one identify individuals using their brain geometry characteristics?

Our aim is to validate the feasibility of this new biometric tool based on human brain characterization. The proposed approach differs from existent biometrics modalities e.

fingerprint, hand, etc in the sense that brain features cannot be spoofed as it is the case when dealing with fake fingerprints, or fake hands. In this work, we consider volumetric Magnetic Resonance Images MRI from which brain shapes are extracted using a 3D level-sets segmentation approach, supervised phd thesis. Afterwards, geometrical descriptors are extracted from the 3D brain volume and from a projected version which provide specific features such as the isoperimetric ratio, the cortical surface curvature and the Gyrification index, supervised phd thesis.

Brain characteristics can also be extracted from 2D slices In supervised phd thesis a scenario, we have proposed an approach similar to the one used for Supervised phd thesis recognition Daugman algorithm. Geometrical transforms: application to biometrics, supervised phd thesis.

Bouchemha, Thesis in french. The proposed technique extracts palmprint features using jointly, Supervised phd thesis transform and a geometric Delaunay triangulation. In such a process, Radon transform allows to extract directional characteristics from the palm of the hand. Afterwards, the most significant information is structured by achieving Delaunay triangulation, providing hence, a specific signature of the palmprint. In order to compare the uniqueness as well as the stability of the palmprint signature, Hausdorff distance has been used as a criterion of similarity.

Biometrics using biosignals: experiments and preliminary studies. Thesis 1: S. Chantaf, Thesis in frenchThesis 2: N. Belgacem, Thesis in french. We have been interested in our research group to human identification using normal ECG signals non-pathological cases are considered, supervised phd thesis. Only the most significant ECG parameters extracted from recorded signals are considered. Specifically, these parameters are extracted by modelling the ECG using wavelet networks.

The radial basis neural network method is then used to classify these parameters. Consequently, a useful analysis is performed to evaluate the robustness of the identification in some specific situations such as: noise presence, heart variability and electrode displacements.

This work required two realted thesis. Thesis 1: Supervisors : Prof. Thesis 2: Supervisors: Prof. Joint Image-Signal compression: application to biomedical engineering. Thesis 1: E. Zeybek, Thesis in frenchThesis 2: T. Brahimi Thesis in French. Multimodal Compression MC is a new approach that we have developed in order to encode jointly data, acquired from numerous modalities, supervised phd thesis. For example, one can encode jointly and image and a set of signals.

Generally speaking, signal samples are merged in the spatial domain of the image, by avoiding the Region Of Interest ROI ,using a specific mixing function not to be confused with watermarking. Afterwards, supervised phd thesis, the whole mixture is compressed using any standard such as JPEG The spatial mixing function inserts samples in a selected region after a down-sampling process.

The decoding is achieved by inverting the process using a separation function, supervised phd thesis. Results show that this technique allows better performances in terms of Compression Ratio CR compared to approaches which encode separately modalities. This apporach has been evaluated for medical data and extended to other types of image and signals.

This topic was studies through two thesis. Amine Nait-ali, co-supervisor: Dr. Thesis 2: Supervisors : Prof. Completed Phd thesis: PhD thesis in progress: 5. Topic: Hidden Biometrics. Topic:Transforms for Image processing. Topic: Biometrics. Supervised PhDs Completed Phd thesis: 13 PhD thesis in progress: 5. Summary of recent thesis,

How to write your PhD thesis

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Supervised PhD theses - Chair of Computer Science II - Software Engineering

PhD Theses. Prof. Mjolsness has supervised the following PhD theses (except his own at the end): () Oliver Ernst, PhD thesis, “Modeling Reaction-Diffusion Systems with Dynamic Boltzmann Distributions”. Jointly supervised with Prof. Terrence Sejnowski, UC San Diego, June [ Feb 08,  · Supervised PhD theses. [ nach oben ] Automated Hybrid Time Series Forecasting: Design, Benchmarking, and Use Cases. Bauer, André; (, December). [ nach oben ] Measuring, Rating, and Predicting the Energy Efficiency of Servers. von Kistowski, Jóakim; (, March). Automation in Software Performance Engineering Based on a When hiring candidates for the writer’s position, we apply a very rigid shortlisting procedure, Supervised Phd Thesis helping us to ensure that only professional and motivated specialists enter the Write My Essay Online Supervised Phd Thesis family/10()