Power Electronics, Machines and Applications EE966 exam papers

5G Communication Networks EE991 exam papers

Deep spiking neural networks with applications to human gesture recognition

Topics in high dimensional energy forecasting

Towards a quieter world : three-dimensional printed acoustic metamaterials for noise control

Sensor-enabled robotics for ultrasonic NDE

Design and implementation of components for renewably-powered base-stations with heterogeneous access channel

Mitigating the erosion of transient stability margins in Great Britain through novel wind farm control techniques

MEMS enabled miniaturisation of photoacoustic imaging and sensing systems

Development of a 1D phased ultrasonic array for intravascular sonoporation

Elasticity mapping for breast cancer diagnosis using tactile imaging and auxiliary sensor fusion

Research mini-projects : 1. Machine learning dimensionality reduction for gearbox bearing failure prediction. 2. Hybrid sychronous compensator arrangement in providing ancillary services along with a windfarm

Interconnection of solar home systems as a path to bottom-up electrification

Fully high temperature superconducting (HTS) machine for future electric aircraft

Applications of machine learning in diagnostics and prognostics of wind turbine high speed generator failure

Hybrid AC/DC hubs for network connection and integration of renewables

High-efficiency voltage source converters with silicon super-junction MOSFETs

Cyclic blackout mitigation and prevention

Dual operative radar for vehicle to vehicle and vehicle to infrastructure communication

Nonlinear predictive restricted structure control

Mobility of charge carriers, particle charging and electro-hydrodynamic processes in dielectric liquids and nanofluids

Protection and fault location schemes suited to large-scale multi-vendor high voltage direct current grids

Susceptibility of Clostridium difficile to 405 nm light and possible mechanisms to enhance sporicidal activity

Modelling and analysis of rotary airborne wind energy systems : a tensile rotary power transmission design

Low-rate non-intrusive load monitoring approaches via graph signal processing

D-PorCCA, a new tool to study the acoustic life of harbour porpoises

Protection strategy in active DC power distribution networks

Towards development of flexible sensor systems based on organic thin-film transistors

The use of direct current distribution systems in delivering scalable charging infrastructure for battery electric vehicles

Review of applications of superconducting magnetic energy storage (SMES) to power systems

Maximum power point tracking and control of grid interfacing PV systems

Restricted structure non-linear generalized minimum variance control

Aspects of laser absorption spectroscopy in the mid-infrared and visible

Accommodating maintenance in prognostics

Remote sensing and machine learning for prediction of wheat growth in precision agriculture applications

Toward cascading failure mitigation in high voltage power system capacitors

3D tumour-stroma microfluidic cultures for the assessment of anti-cancer therapies

DSO-TSO coordination and distribution network congestion management

Effective EEG analysis for advanced AI-driven motor imagery BCI systems

Using hypergraph theory to model coexistence management and coordinated spectrum allocation for heterogeneous wireless networks operating in shared spectrum

Adaptive spatial image steganography and steganalysis using perceptual modelling and machine learning

Predictive analytics for wind power forecasting

Methodologies for earth observation with hyperspectral analysis and multimodal image fusion

A spatially explicit agent-based modelling approach for assessing residential heating technology uptake

An active unit protection scheme for islanded microgrids with inverter-interfaced distributed generation

The partial frequency energy converter: a novel device for low-frequency offshore wind electricity transmission

Indoor navigation efficiency improvement in intelligent assistive systems (IAS) using neural networks

Using multi-criteria decision analysis to assess the health of high volume, low cost power network assets

Improving positioning capabilities for automated pipe inspection

Performance of nanofillers embedded polymer for HVDC applications

Recommendations for static electricity meters beyond standards requirements

Reliable & selectable islanding detection techniques for low inertia power system

Novel image processing and deep learning methods for head and neck cancer delineation from MRI data

Novel design of charging infrastructure for electrified bus transit network systems

New data analysis and dimensionality reduction methods for hyperspectral imagery

Optimised algorithm implementation for effctive alignment of gene sequences

A sustainability framework for off-grid power systems in developing countries

Automated ultrasound in-process NDE of wire + arc additive manufacture

Analysis and development of power quality metrics for railway electric networks

Holistic and adaptive robotic welding

Towards a data analytics framework to support prognostics & health management in nuclear power plants

Design and analysis of a new model predictive current controller for grid connected converters

Earthing schemes enabling effective protection and fault location techniques for low voltage direct current microgrids

Characterisation and design of power electronic converters for superconducting applications

Power converter controlled as a synchronous machine with fault ride through capability

Design and analysis of an LVDC offshore microgrid for improving the electrical infrastructure of the multi-use platform

Analysis and design of FIR multirate filter banks

Effective segmentation of Arctic sea ice floes from high-resolution optical images

Microsecond and submicrosecond impulse breakdown of insulating liquids and liquid – polymer interfaces

Uncovering the predominant factors influencing the transient stability margin in power systems with increasing renewable generation using interpretable machine learning

Planning the grid integration of minigrids in developing countries

Deep learning and information fusion based classification of breast cancer in mammography images

Study AC loss of 2G HTS for future electric aircraft propulsion