Name:
Adrián Ayastuy Rodriguez
Supervisor:
Dr Paul Record
Company:
Moredun Ltd
Project:
Smart Sensors for Detection of Lack of Appetite in Cattle
CDT theme(s) addressed:
Intelligent Software and System Services

Background:

Adrián was born in Málaga (Spain) in 1991. He received a BEng in Industrial Engineering from the University of Seville in 2014. During his BEng he undertook two specialisations; one on Automation and Robotics and another on Electronics.
While he was doing the 5th year of his degree he worked as a research assistant for the department of System and Automation. He researched the field of computer vision and wind forecasting and wrote his thesis supervised by Prof. Teodoro Álamo Cantarero about convex optimization algorithms apply to MPC for tracking.
Adrián is undertaking a PhD in Heriot Watt University as part of the CDT in Embedded Intelligence.
The PhD project, sponsored by Moredun Ltd, is entitled “Smart sensors for detection of lack of appetite in cattle”. This project proposes to design, manufacture and test a smart sensor to be inserted in the collar or any other judicious places of cattle to detect the absence or reduction of mastication as a clinical sign of symptom of disease.
The project is supervised by Dr Paul Record at Heriot Watt university.

Publications:

Mateo-Segura, Carolina, A. Georgiadis, Adrian Ayastuy Rodríguez, Ryan Bahr, Manos. M. Tentzeris, Ana Collado, and G. Goussetis. 2017. “3D Printed Bifocal Lens Antenna For Multi-Beam Applications.” In 38th ESA Antenna Workshop on Innovative Antenna Systems and Technologies for Future Space Missions. Noordwijk, The Netherlands.

Lorente-Crespo, Maria, Adrian Ayastuy Rodriguez, G. Goussetis, and Carolina Mateo-Segura. 2017. “Hemispherical Luneburg Lens Antenna With Integrated Linear To Circular Polarisation Converter.” In 38th ESA Antenna Workshop on Innovative Antenna Systems and Technologies for Future Space Missions. Noordwijk, The Netherlands.

Faerber, J., G. Cummins, S.K. Pavaluri, P. Record, A.A. Rodriguez, R. McPhilips, H. Lay, et al. 2017. “In Vivo Characterisation of a Conformal Antenna for Capsule Endoscopy.” IEEE Transactions on Biomedical Circuits and Systems TBA (TBA): TBA.

Ayastuy Rodriguez, Adrian, Paul Record, and Fiona Kenyon. 2017. “Novel Activity Monitoring System Based on Smart Collar and Variational Bayesian Learning of Multivariate Autoregressive Hidden Markov Models.” In 8th European Conference on Precision Livestock Farming, 802–11. Nantes, France.

Pantazis, Dimitrios, Adrian Ayastuy Rodriguez, Paul P. Conway, and Andrew A. West. 2016. “An Application of Autoregressive Hidden Markov Models for Identifying Machine Operations.” In 14th International Conference on Manufacturing Research, Loughborough University, 193–98. Loughborough, United Kingdom: IOS Press. doi:10.3233/978-1-61499-668-2-193.

Name:
Dimitris Pantazis
Supervisor:
Prof Andrew West
Company:
HSSMI
Project:
Machine-to-Machine (M2M) Wireless Intelligence
CDT theme(s) addressed:
Design for EI, System Services and Applications Engineering

Background:

Dimitris received his Diploma in Electrical and Computer Engineering in 2014, from University of Patras, Greece. Following receiving his diploma, he worked for a short period as a visiting researcher at King Abdullah University of Science and Technology (KAUST), KSA. Afterwards, Dimitris joined the CDT in Embedded Intelligence at the University of Loughborough, UK.

Other previous work experience includes working as an electrical engineer for Hellenic Petroleum S.A. and as a website designer and developer for Odotechniki L.T.D.. His main research interests include embedded systems, wireless sensor networks and data mining techniques.

His PhD research project theme is related to Machine-to-Machine (M2M) Wireless Intelligence, aiming at using and advancing embedded intelligence in mobile devices in order to design and further develop mobile intelligent services for manufacturing. It is co-supervised by Prof. A West and Prof P Conway sponsored by the High Speed Sustainable Manufacturing Institute (HSSMI).

Publications

Pantazis, Dimitrios, Adrian Ayastuy Rodriguez, Paul P. Conway, and Andrew A. West. (2016). An Application of Autoregressive Hidden Markov Models for Identifying Machine Operations. 14th International Conference on Manufacturing Research. doi: 10.3233/978-1-61499-668-2-193.

Name:
Ian Park
Supervisor:
Prof Jeremy Coupland
Company:
Taylor Hobson
Project:
Coherent Measurement of Surface Geometry on a Large Scale
CDT theme(s) addressed:
Intelligent Software

Background:

I completed my undergraduate masters at Loughborough University in Mechanical Engineering having also taken a placement year where I worked at Perkins Diesel Engines.

My PhD Title is Coherent Measurement of Surface Geometry on a Large Scale. The aim of the research will be to use coherence measurements of large engineering surfaces, such as turbine blades, to detect defects in the order of the wavelengths of light. The method proposed for this is aperture synthesis using multiple digital holographic recordings.

The project is sponsored by Taylor Hobson and supervised by Prof Jeremy Coupland.

Name:
Joseph Holt
Supervisor:
Dr Carmen Torres-Sanchez
Company:
Far-UK
Project:
Design and Manufacture of Functionally-tailored Multimaterial Structures with Embedded Intelligence
CDT theme(s) addressed:
Packaging & Integration and Manufacturing Solutions

Background:

Joe received his MPhys in Astrophysics from the University of Liverpool in 2010. Following this his interests turned towards energy efficiency and sustainability and he undertook an MSc at the University of Nottingham studying Sustainable Energy Engineering. Graduating from Nottingham in 2013, Joe began working as Technology Development Manager at Far-UK where he worked within the Collaborative R&D team. Joe is now undertaking a PhD as part of the CDT in Embedded Intelligence at Loughborough University.

The high level aims of the PhD project are to develop and model the manufacturing process to produce variable porosity foams. These variable density materials have a range of potential structural applications from automotive to biomedical.

The project is sponsored by Far-UK and  supervised by Dr Carmen Torres-Sanchez.

Publications

Torres-Sanchez C, Conway PP, Holt JA (2017). 3D Acoustic-Structure Interaction of Ultrasound in Fluids for the Manufacture of Graded Materials, COMSOL conference 2017, Rotterdam, NL.

Name:
Michael Johnson
Supervisor:
Dr Mashhuda Glencross
Company:
BMW
Project:
Human-computer Interactions within a Car Environment

Background:

I graduated with an MSci in Computer Science at Loughborough University in 2014.

The aim of my PhD, titled ‘Human-computer interactions within a car environment’, is to improve the usability and safety of cars while a user is interacting with it. Most people are presented with the question that they do not want: ‘What do I do now?’ This research is an attempt to alleviate, or, even, remove, this question.

The project is sponsored by BMW and supervised by Dr Mashhuda Glencross.

Name:
Mohamed Taher Alrefaie
Supervisor:
Prof Tom Jackson
Company:
BMW
Project:
Enhancing Safety in Limited Self-Driving Vehicles Prediction of Driver's Response Time and Quality
CDT theme(s) addressed:
Intelligent Software and System Services

Background:

I hold a BSc of Computer Engineering from Al-Azhar University in Cairo. I was an exchange student at University of Arkansas, USA where I did an internship and at Nanyang Technological University in SIngapore. I worked for two years in a research center in Italy in EU funded project in the field of Smart Mobility. I won several competitions and awards in the field of computer science and mobility as a student and while I was working.

I am currently working with BMW on my PhD titled "Driver State Modelling in Partially Automated Driving Cars".

 

Name:
Pawel Ladosz
Supervisor:
Prof Wen-Hua Chen
Company:
Multi-partner industrial consortium
Project:
Support Autonomous Operation of Unmanned Aircraft Systems with Computer Vision
CDT theme(s) addressed:
Intelligent Software

Background:

Pawel Ladosz graduated with an MEng in Aerospace Engineering from the University of Manchester in 2014.

As a student, Pawel was president of Unmanned Aerial Vehicle (UAV) Society and Pear Assisted Study Scheme leader. Additionally, he was involved in two summer projects, the first one involved measuring atmospheric O3 using a UAV and second one focused on the design of a solar powered UAV.

His current PhD project, supervised by Professor Wen-Hua Chen, is related to UAVs. His research interest lies within UAVs safety, control and design.

In his spare time Pawel enjoys cycling, reading and playing chess.

Name:
Samantha Gunn
Supervisor:
Dr David Flynn
Company:
Macphie
Project:
Microwave Sensor for the Food Industry
CDT theme(s) addressed:
Design for EI

Background:

I graduated June 2014 with a MEng in Electrical and Electronic Engineering degree from Heriot Watt University.

My PhD title is Microwave Sensor for the Food Industry which is related to the design, manufacturing and testing of a microwave sensor within this industry. It is intended to be  part of the food processing lines with the intention to provide information with regards to the compositional change of product passing through the pipe.


The project is sponsored by Macphie and supervised by David Flynn.

Name:
Adam Kaye
Supervisor:
Dr William G. Whittow
Company:
Printed Electronics Ltd
Email:
Project:
Ink-Jet Printing Antennas on 3D Curved Surfaces
CDT theme(s) addressed:
Packaging & Integration, Manufacturing Solutions

Background:

Adam received an undergraduate MSci in Mathematics from the University of Bristol in 2015. His PhD title is Ink-Jet Printing Antennas on 3D Curved Surfaces, and his research interests include direct-write manufacture, surface topography, and antenna design.

Name:
Athanasios Pouchias
Supervisor:
Dr Paul Cunningham
Company:
TWI
Email:
Project:
Online monitoring of RTM process with the use of dielectric sensors
CDT theme(s) addressed:
Applications Engineering and Manufacturing Solutions

Background:

I graduated from the Department of Electrical and Computer Science Engineering at the Aristotle University of Thessaloniki in Greece. Along with my studies, I was involved in extracurricular activities. From October 2012 to September 2015, I was a member of two Formula Student teams and was involved in many activities. I was a finite element engineer in a Formula Student team called ART and, after a year, became cofounder of a new established FSAE team called Aristurtle. During my internship period I gained more experience in the field of automotive as I worked for three months at Silberform, an upcoming company located in Stuttgart. Particularly, during my training, I learned how to design with software Catia V5 and I participated in many projects. Mainly, I was responsible for designing an adjustable hydraulic system for the wheel axis and an electric drive system of an expedition Porsche chassis.

Resin Transfer Moulding (RTM) is one of the most promising available technology for manufacturing large complex three-dimensional parts from composite materials with high mechanical performance, tight dimensional tolerance and high surface finish. Some of the parameters that affect process and quality of the finished product are flow and cure of the resin. Nowadays, finite element simulation is regularly used to design injection processes and cure. However, purely predictive simulations suffer from issues related to uncertainty and variability in material state and numerous process parameters. Online monitoring of resin flow in tests is a method that can enhance fidelity of numerical simulation models.
The proposed monitoring system combines dielectric sensors with thermocouples to provide information about frontal flow and the degree of cure of the resin. Two implementations of flow sensors are proposed; a global linear sensor and a network of local spot sensors. As regards the location of the sensors can either be tool mounded or embedded at tool surface depending on part’s complexity. Integration and packaging techniques for the designing of the sensor and the tooling will be used to increase sensitivity and reduce the inevitable distortion being introduced by the sensors.

This project is sponsored by TWI and is supervised by Dr. Paul Cunningham. Also, is part of a Clean Sky research program and consists of three main partners directed by a Topic Manager. The overall concept addresses the development of a stochastic simulation tool, which will be implemented on a pilot RTM line, where evaluation and NDT demonstration runs will take place. 

Name:
David Czerski
Supervisor:
Dr Paul Record
Company:
Renishaw Plc
Project:
Remote sensing and positioning by using Galfenol on remotely powered surface wave acoustic devices
CDT theme(s) addressed:
Design for EI, Packaging & Interconnection, Manufacturing Solutions and Applications Engineering

Background:

David received a BEng in Electrical and Electronic Engineering for Heriot-Watt University in 2015. His undergraduate dissertation was focused on the automatic detection of vessels in a maritime environment from video images. Areas of interest include embedded systems, sensors, robotics, and microsystems.

The PhD project work involves the design and development of galfenol plated devices for the remote sensing and positioning of objects.

The project is in collaboration with Renishaw and supervised by Paul Record.

Name:
Gajarajan Sivayogan
Supervisor:
Dr Mahdi Mohammad-Pour
Company:
AVL List GMbH
Email:
Project:
Tribo- dynamic analysis of bevel and hypoid gears
CDT theme(s) addressed:
Applications Engineering, Design for EI and Intelligent Software

Background:

I have always had an interested in Mathematics and Physics, being able to apply my theoretical knowledge into practical applications has been a strong ambition. After successfully completing a degree in Mechanical Engineering (MEng) I found myself very fond of the automotive industry. For my PhD I secured a project in collaboration with the CDT-EI and AVL.

The main goal of the project is to develop a multi-physics numerical model to analyse the tribo-dynamics of bevel gears. The automotive industry is growing and with strict global emission regulations being put in place, it is important for automotive manufacturers to adhere to the regulations and meet customer satisfaction. Being able to fully understand the lubrication of gears is highly desirable as friction losses contribute to high exhaust emissions. It is also important to understand the dynamics as interacting physics with lubrication. In addition, it is measure of noise, vibration and harshness (NVH) refinement. This project will deliver the required predictive and analysis tool to tackle abovementioned issues.   

This project is sponsored by AVL who specialises in power and drivetrain simulation and testing, based in Austria, Gratz.

Publications

Sivayogan G, Mohammadpour M, Rahnejat H, Sopouch M, Offner G (2017). Elastohydrodynamic Analysis of Hypoid Gear Contacts With Variable Geometry and Kinematics, 6th World Tribology Congress, Beijing, China.

Oglieve C, Sivayogan G, Mohammadpour M, Rahnejat H (2017). Lubricated Loaded Tooth Contact Analysis (LLTCA) for Spur Gear Pairs. International Conference on Advance Vehicle Powertrains, Hangzhou, China.

Name:
Jamal Umer
Supervisor:
Prof Homer Rahnejat
Company:
Castrol and UET Lahore
Project:
Lubricant-surface system for IC Engines Applications
CDT theme(s) addressed:
Application Engineering

Background:

I have a bachelor in Mechanical Engineering from University of Engineering & Technology, Lahore Pakistan. Where, I joined the same department as lecturer in Nov-2009 after completion of undergraduate studies. I completed my masters in Engineering Rhelogy through Erasmus mundus masters scholarship from KU Leuven Belgium, Uminho Portugal and ULj Slovenia in 2012. I took a study leave from UET Lahore to pursue for doctoral studies at Loughborough University.

I am working in the field of tribology, optimising the lubricant surface system to improve internal combustion engine efficiency. Various experimental techniques are required to investigate the fundamentals of friction from the nanoscale through to macro scale effects observed at system level.

Publications

Umer J, Morris N, Leighton M, Rahmani R, Howell-Smith S, Wild R, Rahnejat H (2017). Asperity Level Tribological Investigation of Automotive Bore Material and Coatings, Tribology International 117:131-140 doi: 10.1016/j.triboint.2017.08.023

Umer J, Morris N, Leighton M, Rahmani R, Rahnejat H, Howell-Smith S, Balakrishnan S (2017). Nano-scale Investigation of Frictional Characteristics of Tribo-films in Sliding Contacts of Representative In-cylinder Conditions, 6th World Tribology Congress, Beijing, China.

Name:
Melanie Zimmer
Supervisor:
Dr Niels Lohse
Company:
HSSMI Ltd
Project:
Multi-agent negotiation strategies for dynamic energy reduction in manufacturing
CDT theme(s) addressed:
Design for EI, Manufacturing Solutions, Intelligent Software, Service Systems and Applications Engineering

Background:

Melanie has a BSc in Mathematics and an MSc in Software Technology from the University of Applied Sciences Stuttgart. In August 2014, she joined HSSMI as a Research Student to write her Master's thesis on virtual and augmented reality solutions for manufacturing.

Her PhD project is part of a European project that focusses on an innovative common and openly accessible plug-and-produce system platform. Melanie will look into multi-agent negotiation strategies to provide dynamic energy optimisation techniques.

The project is sponsored by HSSMI Ltd and supervised by Dr Niels Lohse.

Name:
Rhys Comissiong
Supervisor:
Dr Thomas Steffen
Company:
Caterpillar
Email:
Project:
Finding optimal sensor and actuator configurations
CDT theme(s) addressed:
Applications Engineering, Design for EI and Intelligent Software

Background:

In 2015 I graduated from Imperial College London with an MSci Physics degree. During my final year I was involved in a project to control the temperature of a sensor for a geostationary satellite. The Masters’ project required me to produce a thesis titled: Thermostatic Temperature Control of a Magnetoresistive Sensor. The project was insightful and confirmed my interest in instrumentation and control theory, which is why I chose to do a PhD in control engineering. My PhD project investigates optimal transducer configurations, within diesel engines, using control systems.

Name:
Robert Turnbull
Supervisor:
Dr Mahdi Mohammad-Pour
Company:
AVL List GMbH
Project:
Elastohyrodynamic lubrication in piston-ring pack assemblies
CDT theme(s) addressed:
Design for EI

Background:

B.Eng (Hons) Mechanical Engineering

M.Sc Mechanical Engineering

I completed a placement year at Babcock Marine and Technology where I worked in component design and analysis.

My PhD is in the elastohydrodynamic lubrication in piston-ring pack assemblies. Two of the most important considerations in engine design are fuel efficiency and emissions. The piston ring pack accounts for a disproportionate amount of the total engine losses (up to 25% of parasitic), especially when considering the size of the component. The project aims to investigate both the frictional losses and the dynamic effects of the piston ring pack. The multitude of vehicles utilising the internal combustion engine globally provides the foundation of the engineering motivation behind the current study, with the penultimate objective being an increase in efficiency coupled with a reduction in emissions.

Publications

Turnbull R, Mohammad Pour M, rahmani R, rahnejat H, Offner G. (2017). Coupled Elastodynamics of Piston Compression Ring Subject to Sweep Excitation, Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics, 2017, 231(3) 469-479 doi: 10.1177/1464419317725942

Turnbull R, Bewsher SR, Mohammad pour M, Rahmani R, Rahnejat H, Offner G (2016). Elastodynamics of Piston Compression Rings, 3rd Biennial International Conference on Powertrain Modelling and Control (PMC 2016)

Name:
Ruben Kruiper
Supervisor:
Dr Yun-Heh Jessica Chen-Burger
Company:
Freeform Construction Ltd
Project:
Development of an ontology in biomimetics using concepts of classical problem solving
CDT theme(s) addressed:
Applications Engineering and Intelligent Software

Background:

I hold a BSc and MSc in Industrial Design engineering from the University of Twente. My MSc track was on Emerging Technology Design. During my BSc and MSc theses I researched Hybrid Design Tools under supervision of Robert Wendrich from Rawshaping Technology. 

Subjects of research involved real-time bimanual interaction in a 3-D mixed reality, as well as interaction enhancement using Automatic Emotion Recognition from motion in a design setting.

My Phd involves the "Development of an ontology in biomimetics using concepts of classical problem solving". The research will be multi-disciplinary and includes subjects from biology, engineering and computer science.

Publications

Kruiper R., Vincent J.F.V., Chen-Burger J., Desmulliez M.P.Y. (2017). Towards Identifying Biological Research Articles in Computer-Aided Biomimetics. Biomimetic and Biohybrid Systems. Living Machines 2017. Lecture Notes in Computer Science, vol 10384. Springer, Cham doi: 10.1007/978-3-319-63537-8_21

Kruiper R., Chen-Burger J., Desmulliez M.P.Y. (2016) Computer-Aided Biomimetics. Biomimetic and Biohybrid Systems. Living Machines 2016. Lecture Notes in Computer Science, vol 9793. Springer, Cham doi: 10.1007/978-3-319-42417-0_13

Name:
Tobias Reichold
Supervisor:
Dr Pablo Ruiz
Company:
Renishaw Plc
Project:
High-speed micro 3D metrology
CDT theme(s) addressed:
Design for EI and Packaging & Integration

Background:

In 2015, I completed my MEng Aerospace Engineering degree at the University of Leicester and decided to move on to a PhD in metrology at Loughborough University. This was a direct result of working for the metrology company Etalon AG where I experienced the high-end engineering work that goes into metrology design first hand.

My PhD title is “High-speed micro 3D metrology”. The aim of the research will be to develop and build a novel sensor which is capable of accurately measuring surfaces, and potentially the internal 3D structure of a transparent media, in a single exposure. This will eliminate the need for mechanical scanning as used in conventional scanners.

The project is sponsored by Renishaw and is supervised by Dr. Pablo Ruiz.

Name:
Chris Miles
Supervisor:
Dr Martin Smith
Company:
Solvay
Email:
Project:
Real Time Data Monitoring for Flame Retardant Detection on Textiles
CDT theme(s) addressed:
Design for EI, Manufacturing Solutions and Application Engineering

Background:

I graduated from Loughborough University in the summer of 2016 with a MChem degree. My Masters project was entitled ‘(Poly)aromatic Hydrocarbon Based Organophosphorus Complexes for Sensing Applications.’ This project introduced me to a number of applications of phosphorus chemistry, as well as developing my synthetic skills, leading to my decision to undertake this PhD project. My current PhD is working to improve and monitor the production of textile flame retardants.

Name:
Christos Kouppas
Supervisor:
Dr Qinggang Meng
Company:
Motion Robotics Ltd
Email:
Project:
Bi-Pedal Robots whose limbs can be moved at high speed designed with Motion Robotics Flexmotor actuator
CDT theme(s) addressed:
Design for EI, Service Systems, Packaging and Integration and Applications Engineering

Background:

I graduate first of my class in my Bachelor degree in Cyprus in Mechanical Engineering. My bachelor thesis was a group project about “Synthesis of N-Type and P-Type Semiconductor Materials by Solution Processing Methods” and it is one of its kind. Then, I completed my master degree in Advanced Control and System Engineering in University of Sheffield. My master thesis focused on “Feather-like Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions” and I had introduced a completely new approach of stabilizing UAVs under turbulence.

My PhD will focus on bi-pedal robots that will be made from new kind of actuators that will use less energy and will be lightweight. The actuators will be controlled from machined learning algorithms and deep learning in order to imitate the walking process of humans.

My research interests involve all the disciplines that can combine bioinspiration and mechanical engineering. I enjoy working with robots and programming. I always seek for new ways to solve a problem that will be lightweight and more power efficient.

Name:
Darius Roman
Supervisor:
Dr. David Flynn
Company:
Baker Hughes
Email:
Phone:
+44 (0)7868 320344
Project:
Modelling of critical assets and Fusion Prognostics for Predicting the Remaining Useful Life of the Drill String
CDT theme(s) addressed:
Intelligent Software, Service Systems and Applications Engineering

Background:

Darius Roman is currently a PhD Researcher as part of CDT in Embedded Intelligence based at Heriot Watt University majoring in Prognostics and Health Management from Big Data.

Prior to joining the Smart System Group at Heriot Watt University, Darius has been working as a Design Verification Engineer in the Oil & Gas industry where he was mainly responsible for FEA analysis and modelling of high pressure equipment.

He holds a 1st class MEng Degree with joint honours in Mechanical and Electrical Engineering from the University of Aberdeen. During his studies he joined the Institute of Robotics and Intelligent System (IRIS) at ETH Zurich as a visiting researcher where he developed a novel Catheter Cleaning Microrobot under the supervision of Prof. Bradley Nelson. The 6 months research project successfully concluded with a Thesis submitted at the University of Aberdeen. During his final years of master studies, Darius also developed an algorithm for the selection process of airfoils used in wind turbine rotors in order to improve their efficiency.

His PhD research project aims at using a fusion prognostics approach bringing together modelling, condition monitoring, prognostics and machine learning techniques in order to predict the remaining useful life in drill strings. The project is cosponsored by Baker Hughes, a top-tier oilfield service company with a proven track record of technology innovation.

Darius’s research interests are big data processing using  statistics, machine learning and artificial intelligence, prognostics and health management, modelling of critical assets, FMMEA and fusion prognostics.

Darius lives in Edinburgh, UK where he enjoys various activities such as trail running, climbing and mountaineering in the Scottish highlands. Now he usually manages to read one book a month.

Publications

D.V. Roman, R.W. Dickie, D. Flynn and V. Robu (2017) A Review of the Role of Prognostics in Predicting the Remaining Useful Life of Assets, "Safety and Reliability - Theory and Applications. Proceedings of the 27th European Safety and Reliability Conference (Esrel 2017), Portorož, Slovenia, 18-22 June 2017, Pages 897–904 doi: 10.1201/9781315210469-116.

Name:
David Spendlove
Supervisor:
Dr Lin Guan
Company:
Rolls Royce
Project:
MBSE with formally specified QoS attributes in Embedded Real-time Systems
CDT theme(s) addressed:
Design for EI, Service Systems, and Manufacturing Solutions

Background:

In 2015, I graduated from Loughborough University with a First class BSc in Computer Science. I then continued on at Loughborough to achieve a Distinction with my MSc in Internet Computing and Network Security. During my MSc, I worked with Rolls Royce on a project to convert text-based legacy requirements documentation to their equivalent requirements models. This project was to become the basis for my PhD, which aims to apply formal structures to these requirements, such that more advanced verification and simulation of the proposed system may become possible.

My research interests include systems modelling, requirements engineering, software development, network protocols and routing, and wireless sensor networks.

Name:
Gergely Hantos
Supervisor:
Prof. Marc P. Y. Desmulliez
Company:
Cirrus Logic
Project:
Embedded Intelligence for Self-Test of a MEMS microphone
CDT theme(s) addressed:
Design for EI and Applications Engineering

Background:

Gergely received his BSc in Electrical Engineering with Microelectronics specialisation at Budapest University of Technology and Economics.  He won an Erasmus Mundus scholarship for the Smart Systems Integration Master course in 2014 and graduated with distinction from Heriot Watt University in 2016.

Gergely is undertaking a PhD in Heriot Watt University as part of the CDT in Embedded Intelligence. The goal of his project is to offer additional smartness to a MEMS microphone through embedded intelligence.  In particular the additional functionalities should cover one or several of the following attributes:

  • Multimodalities – additional sensing capabilities such as RH or T.
  • Monitoring of the microphone lifetime.
  • Increased lifetime of the microphone allowing the device to fail graciously whilst being able to extract the relevant information through modification of its inputs.
  • Self test capability before and/or after assembly to simplify the current testing procedure.

The project is sponsored by Cirrus Logic and  supervised by  Prof. Marc P. Y. Desmulliez.

Name:
Joel Earps
Supervisor:
Prof Andrew West
Company:
Ford
Email:
Phone:
07411424723
Project:
The Design of an adaptive, personalised and integrated next generation ebike
CDT theme(s) addressed:
Design for EI, Intelligent Software and Applications Engineering

Background:

I graduated from the University of Kent in 2016 with a first class degree in Electronic and Communications Engineering. Throughout my undergraduate I was able to develop my interests in a lot of aspects of electronic engineering whilst also completing projects involving: robotics, the internet of things, big data and energy harvesting. I also gained a strong interest in communication networks particularly regarding mobile systems and antenna.

My current PhD project involves the development of a next generation electronic bike whilst also integrating smart cities technology into the system This will help reduce the increased reliability of fossil fueled vehicles whilst also tackling major challenges regarding integrated mobility. I am very excited by the opportunity presented to me by the CDT and I am looking forward to developing my skills and acquiring new ones.

Name:
Jorge Garcia Armenta
Supervisor:
Dr Pablo Ruiz
Company:
Epigem and National Physics Laboratory
Email:
Project:
Synthetic Aperture Interferometry
CDT theme(s) addressed:
Applications Engineering and Design for EI

Background:

In 2013 I got a Bachelor degree in Electronic Engineering from The Institute of Technology of Culiacan. My thesis project was Photometer for Cylindrical Scanning, it consists on build an illumination sensor to characterize the irradiance pattern of different light’s sources and make the algorithms to process and display all the collected data on a user’s interface.

In got an MSc in optics at Optical Research Centre in Leon, Mexico in 2015. My project was Digitization of Solids Through Structured Light where I learned different techniques of optical profilometry using methods like phase shifting interferometry. Additionally, I get specialized in digital filter design and phase unwrapping algorithms.

My PhD project at Loughborough University is called Synthetic Aperture Interferometry which the aim of the project is to demonstrate novel optical instrumentation for high-resolution inspection and precision measurement of large engineered parts.   

Name:
Lorenzo Stilo
Supervisor:
Professor Andrew West
Company:
Ford
Email:
Project:
Development of a new generation eBike
CDT theme(s) addressed:
Design for EI and Intelligent Software and Applications Engineering

Background:

I graduated in Electronic Engineering in 2014 at University of Rome “Tor Vergata” with a thesis about the development of a telemetry system for a racecar. After a brief parenthesis in which I worked as a consultant in a Test Engineering team for Capgemini I took an MSc in Embedded System at Heriot-Watt University, Edinburgh for which I received a Distinction grade in 2016 with a dissertation regarding the use of battery management systems on mobile autonomous robotic applications.

I have a solid and wide knowledge in Electronics with a particular attention to digital systems. I had the chance to study and learn the basic of Control Theory and its application with bio-inspired solutions such as Neural Networks. I have a very good knowledge of Embedded System both in their hardware and software applications. I enjoy programming particularly oriented to hardware. My previous experience brought me to have a good knowledge with automotive technologies and solutions.

My PhD is about the development of a new generation eBike. It involves the design of a vehicle that aims to achieve a new level in terms of interaction and understanding of the user demands and needs. This project will cover a wide range of subjects from machine learning to smart cities integration, from pure mechanics to control theory. What we hope to realise is not just a bike that will help you commute from A to B but a device that can bring you a step into the future.

Name:
Marcus Pollard
Supervisor:
Dr Mark Platt
Company:
Izon Science Ltd
Email:
Project:
Responsive Porous Materials for detection of analytes
CDT theme(s) addressed:
Design for EI, Manufacturing Solutions and Application Engineering

Background:

I studied my undergraduate degree in Chemistry (BSci) at Loughborough University, graduating in in 2016.

During my undergraduate degree, I also completed a placement at Reckitt Benckiser where I worked in the health innovation department working on feasibility projects for Nurofen, Gaviscon, Mucinex and Strepsils.

My research interests are in the field of Nanochemistry and Nano-analysis, focusing primarily on nanopores and their behaviour. The project I will be working on will be developing nanopores for selective single molecule detection and characterisation.

Name:
Matthew Hammond
Supervisor:
Professor Upul Wijayantha
Company:
EffecTech Ltd
Email:
Phone:
07786420671
Project:
Improving methods and efficiency for the production, use and measurement of Liquefied Natural Gas (LNG)
CDT theme(s) addressed:
Production Solutions and Applications Engineering

Background:

I graduated from Durham University in 2015 with a Masters degree in chemistry. As part of my degree I completed an industrial masters project on magnetic nanoparticles for MRI at High Force Research Ltd. During this project I developed the methods used for synthesising the nanoparticles, aiming to improve efficiency, reduce cost, and gain a deeper understanding of the chemistry behind the process. This sparked an interest in product and process development and collaboration between research and industry, which led me to the CDT in Embedded Intelligence.

My PhD project involves research into novel methods of LNG measurement in order to overcome some of the challenges facing LNG production. This will help to reduce errors and uncertainty, and also provide accurate data to help improve health and safety, commercial, contractual and environmental aspects of the LNG value chain. The CDT-EI is a fantastic opportunity for me to strengthen my technical knowledge as well as develop valuable transferable personal and business skills.

Name:
Robin Hamer
Supervisor:
Dr Thomas Jun
Company:
EDF Energy
Email:
Phone:
07561823305
Project:
Safety II in the Nuclear Industry
CDT theme(s) addressed:
Design for EI, Intelligent Software and Applications Engineering

Background:

I graduated from Loughborough University in 2016 where I gained a 1st class degree in Ergonomics (Human Factors) Design.

I have always been fascinated with a means to sustain an ever growing population's energy demands. By chance, during my final year, I developed an interest in Systems Ergonomics, which coupled with my own personal interests, naturally lead me to pursue a PhD through the CDT with EDF energy.

My PhD concentrates on systems safety within the nuclear industry, more specifically, a new theory of safety called safety-II. This theory states that by looking at what goes right within a system, you can understand what will go wrong before it even happens. The eventual aim is to implement safety-II principles into different areas of the nuclear industry to make it a safer industry, with the hope that the public are more accepting of the relative risk to benefit of nuclear energy.

Name:
Ross Dickie
Supervisor:
Dr David Flynn
Company:
MacTaggart Scott
Email:
Project:
Fusion Prognostics for Predicting the Remaining Useful Life of Maritime Assets
CDT theme(s) addressed:
Design for EI, Intelligent Software, Service Systems, Packaging & Integration and Applications Engineering

Background:

I graduated in 2014 from the University of Edinburgh with a BEng degree with joint honours in Electrical & Mechanical Engineering. I then went on to study for an MSc in Renewable Energy & Distributed generation at Heriot Watt university graduating in 2016. My MSc dissertation was titled “Control Algorithms for Distributed Energy Demand Response”, this dealt with the control of large collections of devices to provide demand response services to the electricity grid.

My PhD project aims to use fusion prognostic methods for analysis of condition monitoring data from maritime assets, essentially dealing with predicting failure of system components. This project is in partnership with MacTaggart Scott and aims to develop accurate and useful information and predictions about the condition of operational maritime assets including “remaining useful lifetime” metrics. This has a focus on the high value mission critical hydraulic systems manufactured by MacTaggart Scott.

Publications

D.V. Roman, R.W. Dickie, D. Flynn and V. Robu (2017) A Review of the Role of Prognostics in Predicting the Remaining Useful Life of Assets, "Safety and Reliability - Theory and Applications. Proceedings of the 27th European Safety and Reliability Conference (Esrel 2017), Portorož, Slovenia, 18-22 June 2017, Pages 897–904 doi: 10.1201/9781315210469-116.

Name:
Wen Gu
Supervisor:
Dr Byron Mason
Company:
Digital Engineering & Test Centre
Email:
Project:
Distributed hybrid vehicle embedded controller
CDT theme(s) addressed:
Applications Engineering, Design for EI and Intelligent Software

Background:

I graduated from Loughborough University in 2016 with an MSc Engineering degree. My MSc project is focused on design cycle based air fuel ratio and blow-through estimator. This project was developing my interesting in control theory and simulation, which is why I chose to do a PhD in control field. My PhD project is focused on the development of a supervisory controller for a geographically distributed hybrid vehicle.

Name:
Youssef Hamid
Supervisor:
Dr David Hutt
Company:
GE-Druck Limited
Email:
Phone:
07404970051 / 01162317893
Project:
Embedded & Intelligent Pressure Sensing Applications
CDT theme(s) addressed:
Manufacturing & Packaging Solutions, Applications Engineering

Background:

I completed my MSc. in Mechanical & Manufacturing Engineering in may 2014 at the French University Arts et Metiers Paristech (ENSAM).
I then did the Edison Engineering Development Program with GE Measurement & Control in Leicester.

EEDP is a two-year technical leadership development program consisting of three rotational assignments as well as development and leadership skills. Rotational assignments are engineering projects driven by real Measurement & Control / Oil & Gas business priorities.

My PhD Overview is: GE Druck manufactures pressure sensors that monitor liquid and gas systems for many industries including automotive, subsea, aerospace and industrial. The sensors need to interact with the physical stimulus and measure pressure inputs, while being protected from their harsh thermal, electrical, chemical and mechanical operating environment, in order to avoid damage to delicate components. In addition, electrical signal outputs need to be passed in and out of the sensor to monitoring equipment. Thus this project will explore new materials and methods for the packaging and interconnection of the sensing technology for efficient manufacture while ensuring the integrity of the device is maintained and that it continues to remain reliable in service.

Name:
Zhao Gao
Supervisor:
Prof Eran Edirisinghe
Company:
Apical Ltd
Email:
Phone:
07522121636
Project:
Content Aware, Environmentally Adaptive, Intelligent, Ultra High Definition Video Creation from High Definition Video
CDT theme(s) addressed:
Application Engineering, Design for EI, Intelligent Software, Service Systems

Background:

In 2014 I graduated from Dalian Maritime University in China (2010 - 2013) with a degree in Software Engineering. During the final year, I was offered the opportunity to complete my final undergraduate year at Loughborough University (2013 - 2014). For my final project I designed an application for an Omani company to detect air pollution through image processing. Between my undergraduate and master’s courses I undertook an eight week paid R&D project for BP and contributed towards a VR-based training tool for oil rig workers. BP took this work forward to a further stage in collaboration with Loughborough University, which applied for a Knowledge Transfer Partnership Grant.The following year I did a Master’s Degree of Advanced Computer Science under Professor Eran Edirisinghe’s supervision in Loughborough University. My Master’s project was for Apical Ltd and was to combine the output of all the sensors in a mobile device in order to predict user behaviour and the environment, to enable the device to respond accordingly. My PhD project is To develop video resolution upscaling algorithms that intelligently adapt to video scene content, environment in which the videos are viewed and devices used for display.

Name:
Jake Rankin
Supervisor:
Dr Laura Justham
Company:
J C Bamford Excavators
Project:
Development of SMART Systems for Enhanced On-Site Excavation
CDT theme(s) addressed:
Design for EI, Intelligent Software, Service Systems, Intelligent Engineering Applications

Background:

I completed an MEng in Product Design Engineering at Loughborough University in 2017 and also undertook a placement year at J C Bamford Excavators Ltd where I experienced three roles in Research, Design and Development. I also held a placement at Underhill Engineering Ltd where I worked in Engineering Operations.

The initial aims of my PhD are to investigate feasible applications for SMART systems in excavations which will ultimately improve safety and productivity.

The project is supervised by Dr Laura Justham and sponsored by J C Bamford Excavators.

Name:
Javier Garcia
Supervisor:
Prof. David Kerr, Prof. Kaddour Bouazza-Marouf, Prof. Antony Sutton
Company:
Airquick Ltd
Email:
Project:
Performance optimisation of train-wash systems using novel sensors and embedded intelligence
CDT theme(s) addressed:
Design for EI, Intelligent Software and Applications Engineering

Background:

I graduated from the Polytechnic University of Madrid (UPM) with a 5 year degree in Telecommunications Engineering. Then I completed a MSc in System-on-Chip Design at the Royal Institute of Technology (KTH) in Stockholm, where I continued working as a researcher in the Mechatronics Department for 1 year following graduation. After that, I moved to China to work for a Spanish technology company, taking care of outsourcing, production and technology transfer for the company’s products.

Now I’m undertaking a PhD as part of the CDT in Embedded Intelligence at Loughborough University. Sponsored by Airquick Ltd., a company specialised in train washing, the project aims to have a better understanding of the processes involved, as well as defining a methodology for evaluating the level of surface cleanliness.

Name:
Lucas Kirschbaum
Supervisor:
Dr David Flynn
Company:
Baker Hughes
Project:
Data Analytics to Predict the Remaining Useful Life of Critical Assets
CDT theme(s) addressed:
Intelligent Software, System Services, Applications Engineering

Background:

Lucas is a first-year PhD Researcher in the Smart Systems Group at the Institute of Sensors, Signals and Systems (ISSS). As a student of the CDT in Embedded Intelligence he is conducting research within the field of Prognostics and Health Management of Critical Assets.

In 2017 Lucas graduated from the Technical University Bergakademie Freiberg, Germany as a Petroleum Engineer (Dipl. Ing.). Holding a 1st class degree his studies focused on drilling- and production-engineering tasks. During a term abroad at the National Chung Hsing University (NCHU), Taiwan and multiple internships he became acquainted with numerical modelling and data processing. Within the scope of his final thesis, Lucas developed an improved approach to forecast hydrate formation and a novel method to supress the formation of hydrates during gas expansion. Both aspects where implemented into a software application, enabling field engineers to evaluate on-site the problems hydrate formation may cause.

His PhD projects targets the key elements of Condition Based Monitoring (CBM) and Prognostics and Health Management (PHM). Various approaches are utilized and applied to the critical assets of the drill string, which is particularly exposed to a harsh environment making prognostics a decisive factor to allow for undisturbed operations.  

Name:
Luke Wilkinson
Supervisor:
Dr Martin Smith
Company:
H.K Wentworth/Electrolube
Email:
Phone:
01509 64113
Project:
Optimising Encapsulation Resin Levels for the Electronics Sector
CDT theme(s) addressed:
Engineering Applications and Manufacturing Solutions

Background:

I graduated from Loughborough University in 2017 with a Masters in Chemistry (MChem).

During my 4th year Masters project, titled “Novel Chemical Forensic Techniques”, I was able to review current forensic techniques used to detect fingerprints, while attempting to develop my own novel techniques to address the issues currently faced by forensic scientists. I was able to use transition metal ions as well as fluorescent materials to develop latent fingerprints on a variety of surfaces with a good degree of repeatability.

The main aim of my PhD is to investigate the minimum amount of conformal coating is required to insulate circuit boards in order to increase efficiency and lower costs. I will predominantly be using polyurethane and epoxy resins.  

Name:
Maren Schnieder
Supervisor:
Professor Andrew West
Company:
Ford
Email:
Project:
Development of a new generation eBike
CDT theme(s) addressed:
Design for EI, Intelligent Software and Applications Engineering

Background:

I completed a five-year Diplom (combining Bachelor and Master into one degree) in Traffic Engineering at TU Dresden (Germany) in four years, including studying and working one year abroad to gain international research experience at the University of British Columbia, the University of Calgary, Loughborough University, and the University of Queensland. My PhD focusses on the development of a next generation eBike which is integrated into a smart city.

Name:
Peter De'Ath
Supervisor:
Dr Martin Smith
Company:
Innospec
Project:
Optimisation Studies for Acid Chloride Synthesis and Scale-up
CDT theme(s) addressed:
Manufacturing solutions, Intelligent Engineering Applications

Background:

I hold a MChem Chemistry degree from Loughborough University and graduated in July 2017.  I have had two summer placements with Airbus where I was able to experience the industrial use of chemistry in a large engineering company.

I am now working on understanding and optimising the synthesis of reactive acid chloride intermediates with Innospec in my current project.

Name:
Shaun Smith
Supervisor:
Dr James Knowles & Dr Byron Mason
Company:
Jaguar Land Rover
Email:
Phone:
01509227242
Project:
Numerical continuation applied to IC engine calibration process
CDT theme(s) addressed:
Design for EI, Intelligent Engineering Applications

Background:

In 2015, I completed my BSc in mathematics at Coventry University. The degree had a large focus on mathematical modelling and programming, particularly in the areas of optimisation and dynamical systems. My final year project involved the historical developments of calculus of variations, a topic that builds the foundations for optimal control theory. Since then, I have been teaching mathematics while also completing a MA in educational innovation at the University of Warwick.

My current project involves the evaluation of various numerical continuation codes, with the intention that the most beneficial can be applied to complement current IC engine calibration. I see the CDT-EI as an excellent opportunity to develop a wide range of skills and apply them to a challenging and ambitious real world problem.

The project is sponsored by Jaguar Land Rover and is supervised primarily by Dr James Knowles and secondly Dr Byron Mason of Loughborough University.

Name:
Simon Blackwell
Supervisor:
Dr Carmen Torres-Sanchez
Company:
Far UK Ltd
Email:
Project:
Manufacturing cellular solids
CDT theme(s) addressed:
Manufacturing solutions, Intelligent Engineering Applications

Background:

I graduated from Loughborough University in 2017 with a BEng in Electronics and Computer Systems Engineering before joining the CDT in Embedded Intelligence.

The high level aims of the PhD project are to develop manufacturing processes to more efficiently produce cellular solid structures reinforced with carbon fibre.

The project is sponsored by Far-UK and  supervised by Dr Carmen Torres-Sanchez.

Name:
Stephen Ward
Supervisor:
Professor Massimiliano Zecca, Dr. Sijung Hu
Company:
INMM - IN MANIBUS MEIS
Email:
Project:
Real-time biomedical physiological sensing for first responders or exposed workers
CDT theme(s) addressed:
Design for EI, Intelligent Software and Applications Engineering

Background:

I completed an MSc in Biomedical engineering at Keele University in 2017 before joining the CDT in Embedded Intelligence. Additionally, I am a HCPC registered Paramedic.

My current project aims to develop a robust and reliable wearable sensor integrating physiological and motion sensing, to keep the users’ health constantly monitored and supervised. The application for this device is across a broad spectrum of users from patients in mass casualty incidents to first responders, and exposed workers.

 The project is sponsored by INMM® S.r.l. (http://www.inmm.it/en/), and supervised by Professor Massimiliano Zecca and Dr Sijung Hu of Loughborough University.

Name:
Steven Hayward
Supervisor:
Prof. Andrew West
Company:
S2S
Email:
Phone:
07419 111 724
Project:
End of Life traceability and monitoring within the factory and throughout the supply chain
CDT theme(s) addressed:
Manufacturing Solutions, Service Systems, Intelligent Engineering Applications

Background:

I graduated from Loughborough University with a first class degree in Mechanical Engineering (MEng). Towards the end of the course I was introduced to Prof. Andrew West and given a project on Energy Resource Monitoring, giving me experience of big data capture and analysis. In addition to this, the applications of energy monitoring in industry sparked an interest in the IoT and machine connectivity/intelligence. From this project, I was offered an opportunity to join the CDT-EI for a PhD.

My current PhD is to explore methods for improving traceability throughout the supply chain, which will improve security for manufacturer and consumer goods during transport.

Testimonials
What our researchers think

"I now have a good experience working companies and some of my research has been adopted and is being progressed in these organisations, which is very rewarding"

Cohort 1 researcher Ian Park

“As a person who seeks a business opportunity after my PhD, studying at CDT-EI places me in a very good position”

Cohort 1 Researcher Mohamed Taher Alrefaie

“You’re exposed to lots of interesting research that you might not have come into contact with on a traditional PhD"

Cohort 2 Research David Czerski

“I hope to become an expert in my field and I believe I am in the right place with the right support to achieve this.”

Cohort 2 Researcher Melanie Zimmer