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Mathematics (wireless) PhD Projects, Programs & Scholarships

We have 17 Mathematics (wireless) PhD Projects, Programs & Scholarships

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  PhD Computing

Funding Type

PhD Type

Main research areas of interest, Image / Video Processing and Analysis Techniques and Applications, Wireless Mobile Network Technologies, Bio-metric-based Authentications for constrained devices / environments.
  Physical Layer Security for Industrial Unmanned Aerial Vehicles (UAVs)
  Dr K Rabie
Application Deadline: 31 August 2020

Funding Type

PhD Type

Project summary. This project will focus on the security issue facing Industrial Unmanned Aerial Vehicles (UAVs)-based systems. Aims and objectives.
  Network Inference and Machine Learning: Identification of Diseases-gene Regulation
  Dr F He
Application Deadline: 29 May 2020

Funding Type

PhD Type

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The successful candidate will join the project ‘Network inference and machine learning.
  Compressive Millimetre-wave Antennas for Computational Security-Screening Radars
  Dr O Yurduseven
Applications accepted all year round

Funding Type

PhD Type

Imaging using millimetre-waves (mmW) brings several advantages such as non-ionizing radiation, operation in all-weather conditions and their ability to penetrate through most optically opaque materials.
  Real-Time Signal Processing Algorithms for Computational Millimetre-wave Radars
  Dr O Yurduseven
Applications accepted all year round

Funding Type

PhD Type

Millimetre-waves (mmW) can penetrate through most materials that are opaque at optical wavelengths, yet they are non-ionizing and thus harmless to living tissue at low power levels.
  Artificial intelligence for smart engines
  Research Group: nCATS
  Dr L. Wang
Application Deadline: 31 August 2020

Funding Type

PhD Type

Project description.
  Design human-like machine learning
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A study of the publications available via PubMed alone (a database of 26 million references to biomedical publications), shows that only four machine learning models (linear regression, Bayesian reasoning, Random Forests and Neural Networks) are frequently employed in most of the experiments.
  Mathematical Models for 4D Printing
  Dr E Pei
Applications accepted all year round

Funding Type

PhD Type

The aim of this PhD is to develop mathematical algorithms and key principles for the Design of 4D Printing (Df4DP), with a view of evaluating and applying these fundamental concepts.
  Novel approaches for complex nonlinear equation systems
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

In this project we aim to investigate a novel method that works by transforming a system of equations into a multiobjective optimisation problem (MOO).
  Optimisation methods for (deep) neural networks
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A machine learning algorithm can be viewed as a mapping between inputs and outputs, with the scope of optimising and tuning the parameters that describe it so that the performance is improved.
  Clustering in bioinformatics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

There are many bioinformatics datasets available publically. Extracting consistent information from these require development of novel techniques and tools.
  Data analytics
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

In recent years, more and more data are available in many areas. We live in a very data-rich world. Our challenge is obtain information or to develop understanding from such data.
  Image segmentation
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

Image segmentation has many applications in biomedical and many other fields. It is essential for target detection and identification.
  Modulation recognition/classification
  Prof AK Nandi
Applications accepted all year round

Funding Type

PhD Type

All radio communication signals (radio, television, mobile phones, etc.) are modulated before transmission. Modulation recognition/classification is fundamental for correct demodulation.
  Power system optimisation under intermittent energy sources
  Dr P Date
Applications accepted all year round

Funding Type

PhD Type

The project will address optimisation of power distribution under intermittent energy sources (such as wind power) with unpredictable output.
  Weibull analysis and extreme regression for small and big data
  Prof K Yu
Applications accepted all year round

Funding Type

PhD Type

Weibull analysis is the popular method to make predictions about the life of all products in the population by fitting a statistical distribution to life data from a representative sample of units.
  PhD Studentship Opportunity in Real time complex scene segmentation and prediction in urban environments
  Prof R Bowden
Applications accepted all year round

Funding Type

PhD Type

Semantic image segmentation describes the process of associating each pixel of an image with a class label (such as flower, person, road, sky etc).
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