Cohort 3 (2021)

I achieved distinction in MSc Mechanical Engineering (Design) from Glasgow Caledonian University. I have a BEng (Hons) in Mechanical Engineering with thorough hands-on experience in design, manufacturing and testing within the space sector. By undertaking a successful 9-month work placement at Airbus Defence and Space in Germany, along with an Honours Project in partnership with the company, I developed both my technical and professional skills.

My aspirations lay in progressing my engineering career through pursuit of specialist training and research at PhD level in the field of Ultrasonic Engineering and achieve Chartership status with the IMechE. FUSE CDT is the first academic ultrasonic engineering programme worldwide which would provide me with an exciting opportunity to become a subject-matter expert in this field. Additionally, the programme linked their training to the Monitored Professional Development Scheme (MPDS), which will ensure opportunities, monitoring and feedback are available to allow me to apply for CEng. This is a gold standard of excellence across industry and academia and highly valued by partners and clients.

My project will explore the alignment of emerging technology with automated inspection of challenging industrial inspections. This can take the form of components with complex geometries or restricted access to the entire component surface. Importantly, in many such scenarios, radiography is used for inspection, necessitating clearance of personnel from the vicinity and radiation exposure risks to the inspector. Hence, a move towards ultrasonic techniques would be advantageous from a health and safety perspective. However, such inspection conditions are challenging for standard ultrasonic inspection techniques and the Kelpie sensor approach offers a potential solution for such industrial inspection needs.
My project will consider customised Kelpie array configurations for a number of appropriate industrial components. Simulation will be used to investigate a range of array designs, with close collaboration with Novosound required to align with manufacturing constraints. Extensive characterisation and evaluation of the arrays will be undertaken at the University of Strathclyde to ensure the sensor performance is applicable for NDE inspection applications.
A key objective of my project will be to integrate the Kelpie designs into an automated inspection system capable of operating in areas of restricted access. This task will develop bespoke mechanical systems to manipulate the sensor to ensure full area coverage and subsequently acquire high fidelity ultrasonic data from the component. The final stage will be to investigate post-processing algorithms to produce 3D images of the component under inspection, which will fuse data from the scanning and ultrasonic systems.

Primary Supervisor (University of Strathclyde): Prof. Tony Gachagan
Secondary Supervisor (University of Glasgow): Dr Koko Lam
Project External Partner: Novosound

My name is Yijia Hao. I graduated from the Glasgow UESTC in 2021 with B.Eng. (Hons) in Electronics and Electrical Engineering with Information Engineering. My research interests include deep learning, attention mechanism and application of machine learning in the field of ultrasound.

I am working on ultrasonic circuit design and AI-empowered ultrasonic circuit design tools. The analog front end is essential in most ultrasonic hardware systems, which is widely used in communications, industrial inspection, medical diagnosis, robotically enhanced sensing, surgical tools, etc. Although the analog circuit area is usually less than 20% in a System on Chip (SoC), its required design efforts can be more than 80%. The productivity gap between analog and digital circuits keeps widening. While the design automation level for digital circuits has been increasing steadily over the years, the design automation level for analog circuits remains very low. The analog IC design methodology remains almost unchanged over the past four decades: it is still a slow experience and trial-and-error-driven manual process. Recently, developing novel AI techniques to automate the design of analog ICs starts to attract attention. The AI-driven design lab at the University of Glasgow is a pioneer in AI-driven analog IC design. Being the first few to introduce AI techniques to analog IC design (2008), the AI-driven analog IC sizing method, called ESSAB, was proposed in 2021, which firstly addressed industry-level high-performance analog building blocks (considering the full set of “hard to learn” performances). Through comparison, ESSAB surpasses experienced designers’ design quality in only a few hours. However, process, voltage, and temperature (PVT) variations have not been considered in ESSAB yet. Built upon this, my project aims to:

• Design various analog ICs for ultrasound applications using ESSAB achieving promising results.
• Identify the pros and cons of ESSAB.
• Propose ESSAB-II considering PVT variations obtaining robust designs, which is ready for industry use.

Primary Supervisor (University of Glasgow): Dr. Bo Liu
Secondary Supervisor (University of Strathclyde): Dr. Graeme West

My name is Aasim Mohamed. I am a Mechatronics Engineer with a few years of experience in steel fabrication industry, dealing with industrial control systems (ICS), sensors and instrumentation devices. Thanks to that experience, I was able to upscale my career and perceive the complexities within manufacturing and measurement fields. I hold a BSc (Hons) in Mechatronics Engineering from the Future University in the Republic of Sudan, and an MSc in Mechatronics Engineering at De Montfort University in Leicester with distinction. During my master’s, I gained more knowledge and interest in smart systems, robotics, machine vision and flexible automation.

Plasma is a high-energy ionized gas, which is identified as the fourth state of matter. We typically think of three states of matter: solid, liquid and gas. The difference between these states is their relative energy levels. If we take ice as an example, after adding energy to a certain level in the form of heat. The ice melts to form water and then vaporizes into a gas. If you were to add considerably more energy to the steam to heat it up, the steam would break up into several component gases and would become ionized or electrically conductive. The plasma system can produce temperatures approaching 22,000 °C with a velocity that can reach the speed of sound. In comparison, the surface of the sun is about 5,500 °C. Fascinating!

The plasma arc system takes advantage of that to melt and expel material to cut conductive metals. The system can cut at high speed with precision and low cost, which makes it ideal to be used for steel structure applications, shipbuilding and repair, decommissioning process, pipe profiling and weld joints preparation. However, there are some disadvantages. Plasma cutting may require secondary processing to remove the heat-affected material. Also, depending on the job, the plasma machine may require additional setup changes, which could be costly and time-consuming. Metal fabrication has played a vital role in the technological advancement of humankind. There is always a need for improvement in the automation and digitization of manufacturing processes, and demands for moving towards the fourth industrial revolution 4.0.

My research focuses on developing a sensor-enabled robotised plasma arc cutting system. My project aims to optimize the plasma cutting systems for weld joint preparation, repairs, and general cutting applications. The current manual and semi-automated techniques, resulting in higher costs and lower productivity. Ultrasound technology can improve the process by enhancing operational safety, quality control, and production efficiency while digitizing the process. By deploying ultrasound sensors technology to automate parameter adjustments and ensure precise cuts, the process can be optimized in terms of accuracy, cost, productivity, and complex shape cutting.

Primary Supervisor (University of Strathclyde): Prof. Charles MacLeod
Secondary Supervisor (University of Glasgow): Prof. Patrick Harkness
Project External Partner: Kuka Robotics

I’m Agnes. My background is in software development and IT, specifically in marine IT systems. After putting my seafaring days behind me, I graduated from University of Glasgow with a BEng in Electronic and Software Engineering in 2021.

My project will involve looking at what preliminary steps would be required to apply AI/Machine Learning (ML) to the Acoustiic system. It is envisioned that the overall project will provide a series of AI/ML tools, each building on the last, that will improve the performance of the Acoustiic system. There are existing data sets available for some of these tasks, while Acoustiic would work with FUSE to develop necessary datasets for others, and additional datasets to enhance existing.
Planned development tasks, that could make up this project, could include:
• Fusion of MR and US images for next generation system, and use of fused images to improve knowledge of material properties of tissue
• Use of ML to improve focusing of ultrasound through aberrating tissue to ensure healthy tissue is not damaged, with the fastest destruction of tumours
• Use of ML to calculate thermal effects of therapeutic pulses for real-time therapy monitoring
• Use of ML for motion tracking of target regions, to remove breathing induced errors in therapy
The requirements for safe, effective USgFUS are extensive and there are many opportunities for ongoing work in this area.

Primary Supervisor (University of Glasgow): Dr. Kevin Worrall
Secondary Supervisor (University of Strathclyde): Dr. Gaetano di Caterina
Project External Partner: Acoustiic

Hello, I am Andrea Orthodoxou and I am in the first year of the FUSE CDT program as a postgraduate researcher. I graduated from the University of Glasgow in 2021 with an MEng in Biomedical Engineering. During my time as an undergraduate I have had the chance to expand my knowledge and interest in ultrasonics. It is fascinating how the oldest imaging modality can be used for so many different applications in so many different fields.

My project will make use of Polytech’s established in vitro experimental systems and state of the art laser Doppler vibrometry to investigate the micro-motion and nano-displacements induced by low-intensity, pulsed-ultrasound waves as they interact with osteoblast cells lines and bone tissue phantoms. Acoustic simulation (OnScale) will be used to establish the resulting forces imposed on the cells and tissues involved and how these are influenced by the propagation environment (anatomy) and drive parameters employed (frequency, acoustic pressure, etc). With clinical support, the student will use the data gathered to design more effective ultrasound devices, capable of delivering controlled low-intensity, pulsed-ultrasound fields to promote fracture healing across a range of presentations. In addition to the clear prospects offered by successfully advancing the technology, we anticipate potential commercialisation opportunities once we can demonstrate that optimisation of the field to suit the individual presents a significant healing advantage.

Primary Supervisor (University of Glasgow): Dr Helen Mulvana
Secondary Supervisor (University of Strathclyde): Prof. James Windmill
Project External Partner: Polytec

In 2021 I completed my EEE Bachelors at Strathclyde University and immediately after applied for FUSE CDT due to the overlap in concepts with my RADAR based project.

There is a growing need for underwater acoustic devices that are small in size compared to the wavelength that they produce. Current methods for high-power transmissions at lower frequencies rely on the use of large displacements or a large radiating area which is not feasible for a truly compact device. Work has already been done at the Strathclyde Department of Electronic and Electrical Engineering in the Centre for Ultrasonic Engineering in conjunction with Thales Maritime Mission Systems studying the lesser water-boatman male insect (Micronecta scholtzi ) which communicates through efficient generation of underwater sound despite being much smaller than the wavelength of its output. This is achieved by the animal using its air-supply as a secondary amplifier. My project is to replicate this phenomena.

Primary Supervisor (University of Strathclyde): Prof. James Windmill
Secondary Supervisor (University of Glasgow): Dr. Paul Prentice
Project External Partner: Thales

I studied mechanical engineering during my Bachelor’s. During those 4 years, I learned various mechanical, basic knowledge like solid mechanics, fluid dynamics, and so on. After my graduation, I went to work, first, as project manager, controlling factory’s product quality and process control. Later I worked as a mechanical engineer designing mechanical parts. Then, I started my Master’s study, focusing on non-destructive testing especially in ultrasound technology.

My areas of research interest include non-destructive testing, medical use, and new UT instrument design. There is a growing need to capture multi-parameter data for a new generation of high-performance ultrasonic water metering technology. Physical parameters including pressure, temperature, water quality, and the internal geometry of meters all influence the quality of measurement data. This project will investigate innovations in ultrasonic transducer and meter designs to drive a new generation of ultrasonic water meters, focusing on how multiple physical properties can be captured by a single device, to build a complex picture of the flow measurement environment.

My project aims to engineer ultrasonic transducers (or devices incorporating ultrasonic transducers), able to simultaneously capture multiple high-quality data streams, across pressure, temperature, (accurate) time of flight, and others which can be identified as the project progresses. My objectives are broad, and they can be refined for the benefit of the student. For example, some technical scoping / literature review will be vital in the early stages, and I may study how to optimize transducers to reduce crosstalk or interference with other transducers or structures inside the measurement environment.
Tasks include:
· Design and fabricate new ultrasonic measurement transducer concepts for measurement in water with different physical characteristics (such as pressure, temperature, and quality). One option may be a design based on the flexural ultrasonic transducer.
· Investigate and understand the influence of different environmental parameters, such as pressure and temperature, on the dynamic performance of the ultrasonic transducers. Steps to mitigate undesirable influences will be proposed.
· Characterise and understand the impact of the new transducers on high-performance (for example with respect to accuracy) flow measurement. This objective will require the development and promotion of new signal-processing strategies
depending on the environmental fluid.
· Innovate solutions for capturing the physical properties of a system, through fluctuations in the dynamic performance of the transducers. Advanced materials (phase transforming and metamaterials) can be considered to apply – they might provide unique opportunities to capture other data previously not possible, and it would be interesting if a cost-effective (or practical/realistic) solution for incorporating such materials could be proposed.
Primary Supervisor (University of Glasgow): Dr. Andrew Feeney
Secondary Supervisor (University of Strathclyde): Prof. Tony Gachagan
Project External Partner: Honeywell – Luton, UK

I am a MEng Biomedical Engineering graduate from the University of Glasgow with a keen interest in the use of ultrasonic techniques within a medical field, particularly within surgical procedures and investigating how tissues respond to ultrasound. During my Masters project I also gained experience in biomaterial formulation and mechanical testing. I am therefore eager to study the materials involved in ultrasonic surgery and how these can be optimised. I am hoping to find a project that combines these interests with the aim of combating challenges such as the improvement of post-operative outcomes for patients and providing ease of use for surgeons through potential ‘smart’ materials.

Metamaterials are those which have been engineered to have properties not found in natural materials. They are made up of repeated structures called unit cells that are constructed from standard materials. It is the structure that determines the bulk material properties, as opposed to the innate properties of the material used. Acoustic metamaterials in particular have the potential to enhance sound production and manipulation. This is because the unit cells can replicate the presence of atoms or molecules, having a size close to that of the wavelength of interest. 

For biomedical applications of ultrasound, the benefit of acoustic metamaterials is that they have the capability for small scale design while still operating over a wide range of frequencies. This enables the production of miniaturised transducers, such as those used in catheter ultrasound probes, that do not experience a compromise in performance. Acoustic metamaterials could be employed in many components inside an ultrasound transducer, including the backing and matching layers, as well as the active material that drives the acoustic output. The properties of these components could also be enhanced, beyond what is achievable with standard acoustic materials. 

There is an abundance of theoretical studies into metamaterials in the literature, but to be able to incorporate these materials into ultrasound transducers, more practical studies need to be carried out. 

The objectives of my project are: 

1. To explore the existing knowledge on both acoustic metamaterials and biomedical transducer design, with a view of fusing this knowledge.
2. To understand the design requirements and constraints involved in creating biomedical ultrasonic transducers and identify key themes for improvement.
3. To design and create metamaterials that could potentially improve biomedical ultrasound performance and size.

Primary Supervisor (University of Strathclyde): Prof. James Windmill
Secondary Supervisor (University of Glasgow): Dr. Andrew Feeney
Project External Partner: GE – Nice, France