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University of Sheffield Software Engineering PhD Projects, Programs & Scholarships

We have 39 University of Sheffield Software Engineering PhD Projects, Programs & Scholarships

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We have 39 University of Sheffield Software Engineering PhD Projects, Programs & Scholarships

DETECTION AND ANALYSIS OF METASTATIC AND PRIMARY ORAL CANCERS AND STROMAL FEATURES WITH ADVANCED DEEP LEARNING.

Supervisor(s). Dr Ali Khurram (School of Clinical Dentistry, Sheffield), Dr Pavitra Krishnaswamy (I2R, A* Star, Singapore). Oral squamous cell carcinoma (OSCC) or oral/mouth cancer is amongst the top ten most common cancers in the world with increasing numbers and a poor prognosis. Read more

Dynamic Active Learning for Objective Qualification of Physical Activity Behaviour in Free- living Environments

For curbing the global prevalence of physical inactivity and the associated average of 5.3 million deaths per year, the importance of the Physical Activity (PA) research has been demonstrated by World Health Organisation (WHO) reports. Read more

Virtual Human-Robot Collaboration

The aim of this project is to develop an immersive human-robot collaboration testing environment using virtual reality tools, such as HTC Vive, Oculus Rift and VR CAVEs. Read more

Digitisation, Simulation Modelling and Optimisation of Skill-intensive Manufacturing Processes

The focus of this project is to develop and demonstrate, in a realistic factory environment, highly automated and flexible manufacturing solutions that deliver a step increase in productivity of high-value manufacturing and assembly. Read more

Reliable Response and Behaviour of Autonomous Robots

Autonomous robots sense the world, accept instructions in abstract form and decide what to do. They need to decide whether they accept the command or suggestions and make plans to achieve an objective. Read more

Portable Agent Software Architecture for Robot Control

Standardization of software module interfaces for control, sensing, world modelling, logic inference and decision making could substantially enhance efficiency of robot programming. Read more

Reinforcement learning for flexible task learning on manufacturing robots.

Natural cognition provides us a lot of food for thought in creating resilient and robust artificial intelligent systems. One of the paradigms that have been created by the machine learning community is the Reinforcement Learning paradigm. Read more

Computationally efficient modelling & simulation and applications

The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate modelling and simulation of complex systems in diverse science and engineering disciplines including civil engineering, biomechanics and life science. Read more

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