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We have 33 Computer Science (energy efficiency) PhD Projects, Programmes & Scholarships

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Computer Science (energy efficiency) PhD Projects, Programmes & Scholarships

We have 33 Computer Science (energy efficiency) PhD Projects, Programmes & Scholarships

Bridging the Gap Between Theory and Practice: Investigating the Barriers to Achieving Projected Energy Savings in Railway Systems

A plethora of energy saving devices and technology have been proposed for railway systems to help save energy. These systems employ technology to either to use an alternative fuel, or to harness existing energy, or to store excess energy in batteries, or to use another chemical gradient. Read more

Quantum Machine Learning for Sustainable Energy Optimisation

We are seeking a highly motivated candidate to commence a PhD journey in the dynamic and rapidly growing field of quantum machine learning (QML), focusing on its application in energy system. Read more

Security and Privacy of Energy-Constraint Internet of Things Communication using Distributed AI

In recent years, the Internet of Things (IoT) has progressed dramatically due to advancements in technology. It plays an important role in the development of abundant applications and economic ventures. Read more

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. Read more

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more

Numerical modelling of multiphase flow and reactive transport in porous materials

Understanding reactive transport in porous materials is of utmost importance for a wide range of engineering applications, including subsurface energy storage, low-carbon building materials and fuel cells. Read more

Reconfigurable Surfaces for High-Efficiency RF Energy Harvesting

The objective of energy harvesting is to convert electromagnetic waves into usable direct currents that can be stored. A promising innovation in this field is the use of two-dimensional artificially engineered reconfigurable surfaces. Read more

Bio-Inspired Models and Biologically Plausible Mechanisms for Long-Term Motion Learning

Biological systems can learn from interactions with their environment throughout their lifetime. Learning is a defining ability of biological systems, whereby experience leads to behavioral adaptations that improve performance. Read more

Gesture-Agnostic Radar-Based Hand Tracking for VR/AR Systems

Supervisory Team:  Dr Shelly Vishwakarma. Project description. Virtual reality (VR) and augmented reality (AR) are rapidly becoming integral to our digital experiences, necessitating the need for interfaces that are both non-intrusive and safeguard user privacy. Read more

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