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Operational Research PhD Projects, Programs & Scholarships in Manchester

We have 8 Operational Research PhD Projects, Programs & Scholarships in Manchester

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  Increasing the energy efficiency of straddle carriers in Port
  Prof W Holderbaum
Application Deadline: 30 April 2019
Increasing the energy efficiency and reducing the emissions of container cranes in Port. This work will be novel as no systematic study has ever been made of the options for increasing efficiency of cranes nor how the use of intelligent energy storage could be used to reduce the demand in both peak power and energy.
  Efficient automated theorem proving for first-order logic
  Dr K Korovin
Applications accepted all year round
Automated theorem proving has applications ranging from proving theorems in mathematics to verifying correctness of hardware and software.
  Optimising an elevator dispatching system
  Dr M Latif
Applications accepted all year round
Reference Number. ML-2018-PhD-1. Project Summary. The proposal to develop an elevator dispatching system (EDS) using visually interactive simulation software.
  Providing Cost-Effective, Highly-Automated Approaches to Data Wrangling
  Prof N Paton
Applications accepted all year round
Data wrangling is the process by which the data required by an application is identified, extracted, cleaned and integrated, to yield a data set that is suitable for exploration and analysis.
  Zero-Shot Learning and Applications - investigating effective zero-shot learning techniques as fundamental research and their applications in real world problems
  Dr K Chen
Applications accepted all year round
Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round
Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round
Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round
Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc.
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