The Advanced Electronic Systems Engineering MSc is a broad programme in advanced electronics, reflecting the latest developments in telecommunications, embedded systems, instrumentation and control.
Despite this considerable breadth, an extensive range of options allows students to tailor the course to suit their individual requirements. The programme enables students to develop advanced skills in various aspects of modern hardware, software and firmware engineering.
The programme reflects the latest developments in electronic system design and illustrates the use of electronic systems technologies in instrumentation, measurement and control. You develop the skills to design and build complex electronic systems, in a wide range of applications, using appropriate technologies and techniques.
We have developed the programme with a number of industrial organisations, which means that successful students will be in a strong position to build a long-term career in this important discipline.
About the School of Engineering and Digital Arts
The School successfully combines modern engineering and technology with the exciting field of digital media. Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.
The School undertakes high-quality research that has had significant national and international impact, and our expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. We have a thriving student population studying for postgraduate degrees in a friendly, supportive teaching and research environment, with research funding from the Research Councils UK, European research programmes, industrial and commercial companies and government agencies including the Ministry of Defence.
Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.
In the Research Excellence Framework (REF) 2014, research by the School of Engineering and Digital Arts was ranked 21st in the UK for research intensity.
An impressive 98% of our research was judged to be of international quality and the School’s environment was judged to be conducive to supporting the development of research of international excellence.
The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules.
|Modules may include||Credits|
EL844 - Image Analysis with Security Applications
Fundamentals of Image Processing
General introduction to digital image processing; image acquisition, quantisation and representation; Affine transforms; image enhancement techniques: contrast manipulation, binarisation, noise removal (spatial and frequency domain); edge detection techniques; image segmentation: edge-based, region- based, watershed; Hough transform; image feature extraction; advanced image processing: morphological operations, colour image processing, various image transforms (Fourier, wavelet, etc).
Fundamentals of Pattern Recognition
Patterns and pattern classification, and the role of classification in a variety of application scenarios, including security and biometrics. Basic concepts: pattern descriptors, pattern classes; invariance and normalisation. Feature-based analysis. Texture analysis. The classification problem and formal approaches. Basic decision theory and the Bayesian classifier. Cost and risk and their relationship; rejection margin and error-rate trade-off. Canonical forms of classifier description. Estimation of class- conditional distributions; bivariate and multivariate analysis. Euclidean and Mahalanobis distance metrics and minimum distance classifiers. Parametric and non-parametric classification strategies. Linear discriminant analysis. Clustering approaches, and relationship between classifier realisations. Practical case studies. Introduction to non-classical techniques such as neural network classification.
Security Applications and Image Analysis
Signature authentication and analysis, Digital watermarking, Content hidden in Images and Video, Steganography. Image forensics.
Programming and data analysis using MatLab and other software tools as appropriate. Introduction to practical work using MatLab. Students not familiar with Matlab programming will be provided with appropriate introductory material before this lecture.Read more
EL849 - Research Methods & Project Design
Introduction to Matlab
Introduces the basics of the Matlab and Simulink programme environment and prepares the students for the Introduction to Matlab workshops.
Introductiion to the MSc Projects
Overall timetable and plan for the individual and group projects
Writing Better Technical English
As scientists and engineers, an ability to communicate information clearly through the written word is central to our professional activities. Whether we are publishing our research in an academic journal, writing a report for our employers or just summarising a piece of work for our records, the way in which we write will directly influence the quality and value of what we do.
In these lectures we will look at what determines the quality of formal writing, and how we can maximise the impact and clarity of what we write. Whether English is our native language or a second language, it is important critically to examine how we write if we are to express what we have to say in the best possible way. We will begin by examining the benefits of making more effort in our writing, and we will survey some of the common errors which often occur, showing how these can have an effect not just on the ease with which our work can be understood and absorbed but also on the precise meaning of what we say. We will explore some strategies for improving writing quality, and will consider some guidelines for the development of longer-term writing skills. We will explore a number of examples of "good" and "bad" writing, and everyone will have an
opportunity to take part in some simple exercises.
Literature Review: Techniques and Tools
Surveys using networked electronic information sources, on-line databases, inter-library loan facilities, private communications, etc. Identification of a technical area worthy of research, definition of the state- of -the-art in a given field, definition of the research project, and research proposals. Patent search.
Research Project Management
Time management. Resources management. Project management software (MS Project). Use of logbooks. Data management. Data security. Team working skills.
Structure, content and procedures. Project reports and theses. Journal and conference papers. Technical presentations. Use of references. Writing up of abstract, introduction and conclusions. Submission, refereeing and amendments. Effective use of figures, drawings and tables. MS WORD, ENDNOTE and LATEX.
Presentations and Research Results
Objectives and structure. Audience analysis. Rehearsal and delivery. Design of visual aids. Use of computerized projection facilities. Multi-media approach. Poster design and poster presentation. Handling questions.
Interllectual Property Rights
Patents, patent rights and know-how. Copyright and copying. Design rights and registered designs. Research contracts and agreements. Confidentiality agreement.
Ethics in engineering research. Research supervision. Modelling and simulation versus real experimental work. Processing and presentation of experimental data. Obfuscation in writing up research papers.
Understanding systems definitions, the context of projects and levels of systems engineering. System boundaries. Capturing requirements. System design methods. Validation and verification.
Project management phases, Tucker's team building model. People, psychological types. Influencing others and managing people. Leadership stylesRead more
EL896 - Computer and Microcontroller Architectures
This module focuses on the basic principles of modern computer architecture and how they are mapped onto modern (32-bit) microcontrollers. The course uses the ARM processor core as an exemplar of a modern processor architecture that is now ubiquitous in embedded systems. The course will cover classic topics in architecture (CPU and ALU structure, Instruction sets, memory and memory) and performance metrics for evaluating the relative performance of different architectures such as RISC vs CISC and also VLIW, SIMD, MIMD, ASSP and DSP devices.
The NXP 1786 (mbed) microcontroller is used as an example microcontroller development platform and industry standard IDE's from Keil/IAR are used to program, test and debug them. The course includes a comprehensive presentation of typical microcontroller peripherals: ADCs and DACs, Timers and Input Capture, communication using IIC, SPI, UART. Displays. Interrupts and Interrupt Service Routines (ISRs).
The course also provides an introduction to the C and C++ programming languages and their use with microcontroller based systems. This material will include: Variables, data-types and arithmetic expressions. Strings, Loops, Arrays. Functions, Structures, Pointers, bit operators. The pre-processor. I/O operations in C. Debugging Programs. Object-Oriented Programming. The Standard C Library.
Issues such as software testing and testing strategies are discussed. Compiling and downloading code onto the mbed using commercial Integrated Development Environments such as Keil® and IAR®. GNU based toolchains for Microcontroller development.Read more
EL822 - Data Networks and the Internet
Local area networks: Ethernet technologies and standards; switched Ethernet and STP; virtual LANs; wireless LANs and WiFi. Personal area network technologies and standards for the Internet of Things: Bluetooth, ZigBee, LoWPAN.
IP Networks: IPv4 and IPv6 addressing, operation; routing protocols; Mobile IP; transport layer (TCP/UDP) and application layer protocols, including real-time protocols.
Network security and encryption mechanisms: IPSec and other security protocols. Network performance analysis, queuing theory, and network simulation.Read more
EL827 - Advanced Communication Theory
Advanced modulation and optimal receivers design and their performances of M-ary PSK and QAM; Signal design for bandlimited channels; Carrier and symbol synchronization; Multichannel and multicarrier communications (e.g. OFDM); Filterbank based Multicarrier Transmission (FBMC); Spread spectrum and CDMA signals for digital communications; Multiuser communications; multiple input multiple output (MIMO) technology.Read more
EL829 - Embedded Real-Time Operating Systems
Embedded real time operating systems (rtos)
Operating Systems (OS) and Real-Time Operating Systems (RTOS). Embedded RTOS. Software development methods and tools: Run-time libraries. Writing a library. Porting kernels. Concurrent Programming and Concurrent Programming Constructs. Task Scheduling and Task Interaction. Basic Scheduling methods, scheduling algorithms. Tasks, threads and processes. Context switching. Multitasking. Communication, Synchronisation. Semaphores and critical sections. Example RTOS systems. (E.g. Embedded Linux, Windows CE, Micrium, VxWorks etc.). Programming and debugging Embedded Systems. Practical examples and case studies.
Embedded Processors; Hard and Soft Processor Macros (e.g. Altera Nios and Xilinx Microblaze, ARM). A brief overview of peripherals. Architectural Models. HW/SW Partitioning and partitioning algorithms. Distributed systems. Memory architectures, architectures for control-dominated systems. Architectures for data-dominated systems. Compilation techniques for embedded processor architectures. Modern embedded architectures. Architecture examples in multimedia, wireless and telecommunications. Examples of emerging architectures. Multiprocessor and multicore systems.
EL858 - Advanced Pattern Recognition
Advanced Techniques for Feature Classification and Multi-Modal Systems
Analysis of Bayesian Classification; Feature selection strategies using genetic algorithms and Principal Component Analysis; Multiple classifier combination strategies. Intelligent and dynamically adaptable classification techniques; Multi-source biometric systems and score normalisation techniques.Read more
EL871 - Digital Signal Processing (DSP)
Introduction to signals and signal analysis. Frequency and time domain representations of signals. A review of the Fourier Series, Fourier Transform and Laplace Transforms. Noise: definitions and sources of noise in signal analysis.
Digital Signal Processing:
The sampling theorem, Aliasing, Anti-Aliasing and Anti-Imaging Filters, ADCs and DACs. The Fourier Transform (FT). The Discrete Fourier Transform (DFT) and The Fast Fourier Transform (FFT).The Z-transform. Pole-Zero placement methods for signal analysis. Transfer functions in S and Z domains. Theory, design and performance of Finite Impulse-Response (FIR) and Infinite-Impulse-Response (IIR) Filters. Multirate DSP. Architectures and devices for digital signal processing. Effects of Finite Precision.
Applications of DSP:
Processing and filtering of signals for Instrumentation and measurement, Processing and filtering of images: DSP in modern communication systems.Read more
EL872 - Wireless Communications
Overview of wireless communications; wireless channel models; capacity of wireless channels; cellular concept; handoff; adjacent cell interference; adaptive modulation; diversity; MIMO technologies, CDMA and OFDMA; radio resource allocation; third generation (3G), forth generation (4G) LTE, and fifth generation (5G) mobile communication systems;Read more
EL873 - Advanced Networking Systems and Technology
High-speed access networks: ADSL,VDSL, G.fast; PONs and point-to-point Ethernet; cable networks (DOCSIS and MoCA). Fixed wireless access. High-speed transport networks: SDH, OTN and WDM technology. Quality of Service in the Internet, and multimedia networking. Multicast routing. Differentiated services, queuing disciplines and queue management. Multi-protocol label switching. Wavelength routing and MP?S. Software-defined networking and virtualised network functions. X-as-a-Service concepts. Industry "hot-topic" seminars.Read more
EL875 - Advanced Sensors & Instrumentation Systems
SENSORS AND SENSING SYSTEMS
Measurement terminology: Input and output, range, accuracy, precision, resolution, sensitivity, linearity, repeatability, reproducibility, calibration and traceability.
Sensors and transducers: Temperature sensors, resistive sensors, capacitive sensors, electrostatic sensors, piezoelectric sensors, optical sensors, ultrasonic sensors, radiological sensors and MEMS.
Optical sensing techniques: IR sensors, passive IR sensors, photo-resistive sensors, photovoltaic sensors, photodiodes, photoelectric detectors, solid state lasers.
Signal processing techniques: theories and applications of auto-correlation and cross-correlation.
IMAGING BASED MEASUREMENT AND MONITORING TECHNIQUES
Digital imaging technologies: architectures of CCD and CMOS (structure of sensor array, charge generation, collection and transfer, frame readout, digitisation), characteristics of CCD and CMOS (resolution, gain, dynamic range, spectral response, linearity, noise and sensitivity), colour generation, CCD vs CMOS, camera interfaces, special cameras.
Image processing techniques: Image array, image enhancement and filtering, histogram modification, edge detection and segmentation, feature extraction, Fourier domain representations and filtering.
Imaging systems: CCD/CMOS camera based measurement and detection systems, (passive imaging, laser-based systems), industrial process tomography (IPT), stereoscopic imaging systems, case study.
INTELLIGENT MEASUREMENT AND MONITORING TECHNIQUES
Soft computing techniques for measurement and monitoring.
Advanced analysis: combined time and frequency domain methods. Smart sensors, 'soft' sensors, virtual instruments and systems, intelligent monitoring. Regression analysis, artificial neural network, support vector machine, fuzzy logic, pattern recognition.
INDUSTRIAL CASE STUDIES
Real-life examples of sensors, sensor systems, imaging based measurement and monitoring techniques, in particular hot-wire anemometer, piezoelectric force transducer, on-line particle sizing, pulverised fuel flow metering, on-line fuel tracking, flame stability monitoring, flame imaging, flame tomography, characterization of diesel sprays, on-line inspection of welding processes, and food grain classification/authentication.Read more
EL890 - MSc Project
A major practical system will be developed either in an industrial context or within the department. There are no formal lectures - students will undertake the work in their own time under the regular supervision of a member of the academic staff and, where appropriate, industrial collaborators.Read more
Teaching and Assessment
The project module is examined by a presentation and dissertation. The Research Methods and Project Design module is examined by several components of continuous assessment. The other modules are assessed by examinations and smaller components of continuous assessment. Students must gain credits from all the modules (180 credits in total).
This programme aims to:
- educate graduate engineers and equip them with advanced knowledge of electronic systems for careers in research and development in industry or academia
- produce high-calibre engineers with experience in specialist and complex problem-solving skills and the techniques needed for electronics systems engineering in a number of application areas, including (but not exclusive to) instrumentation, imaging, control and communication systems
- provide you with proper academic guidance and welfare support
- create an atmosphere of co-operation and partnership between staff and students, and offer you an environment where you can develop your potential
- to strengthen and expand opportunities for industrial collaboration with the School of Engineering and Digital Arts.
Knowledge and understanding
You gain knowledge and understanding of:
- advanced electronic systems engineering concepts in a range of fields, and an awareness of developing technologies in these fields
- mathematical and computer models for the analysis of electronic systems (particularly control, instrumentation, image processing and communication networking systems)
- design processes relevant to a range of electronic systems (particularly of control, instrumentation, image processing and communication networking systems)
- the characteristics of materials, equipment, processes and products, such as digital communication networks processes, image processing architectures and devices, instrumentation sensors, practical feedback controllers
- a thorough appreciation of methodologies of research which are essential to engineers involved in research and development projects.
You develop intellectual skills in:
- the ability to use fundamental knowledge to explore new and emerging technologies
- the ability to understand the limitations of mathematical and computer-based problem-solving and assess the impact in particular cases
- the ability to extract data pertinent to an unfamiliar problem and apply it in the solution
- the ability to analyse a problem and to independently develop a system-level specification of a solution, based on a sound conceptual understanding of the component parts of the system and how they may best be implemented
- the ability to apply engineering techniques, taking account of commercial and industrial constraints.
You gain subject-specific skills in:
- the ability to apply knowledge of design processes in unfamiliar situations and to generate innovative designs to fulfil new needs, particularly in the fields of wireless communications, networks and embedded systems
- the ability to design, debug and test hardware/software systems through experiment and simulation and to critically evaluate the results
- the ability to use a range of CAD tools to analyse problems and develop original/innovative solutions
- the ability to search and obtain technical information, critically evaluate it and apply it to a design
- the ability to act independently in the planning, resource allocation and execution of a project
- the ability to prepare and present technical and non-technical reports and presentations.
You gain the following transferable skills:
- the ability to generate, analyse, present and interpret data
- use of information and communications technology, project management and presentation tools
- personal and interpersonal skills, the exercise of initiative and personal responsibility as an individual and as a member of a team
- an ability to communicate effectively to different audiences, using a range of digital media techniques and to present complex data clearly using good written English
- the ability to make decisions in complex situations using critical thinking, reasoning and reflection
- the ability to manage time and resources within an individual and group project
- the ability to learn independently for the purpose of continuing professional development.
Kent has an excellent record for postgraduate employment: over 96% of our postgraduate students who graduated in 2015 found a job or further study opportunity within six months.
We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.
Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.
The School is well equipped with a wide range of laboratory and computing facilities and software packages for teaching and research support. There is a variety of hardware and software for image acquisition and processing, as well as extensive multimedia computing resources. The School has facilities for designing embedded systems using programmable logic and ASIC technology, supported by CAD tools and development software from international companies, including Cadence™, Xilinx™, Synopsys™, Altera™, National Instruments® and Mentor Graphics™. The SMT laboratory can be used for prototyping and small-volume PCB manufacture. A well-equipped instrumentation research laboratory is also available.
Students have access to commercial and in-house software tools for designing microwave, RF, optoelectronics and antenna systems (such as ADS™, CST™, HFSS™) and subsequent testing with network and spectrum analysers up to 110 GHz, an on-wafer prober, and high-quality anechoic chambers.
As a postgraduate student, you are part of a thriving research community and receive support through a wide-ranging programme of individual supervision, specialised research seminars, general skills training programmes, and general departmental colloquia, usually with external speakers. We encourage you to attend and present your work at major conferences, as well as taking part in our internal conference and seminar programmes.
Dynamic publishing culture
Staff publish regularly and widely in journals, conference proceedings and books. Recent contributions include: IEEE Transactions; IET Journals; Electronics Letters; Applied Physics; Computers in Human Behaviour.
Global Skills Award
All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.
A 2.2 or higher honours degree in Electronics, Computer Engineering (not Computer Science) or a related electronics discipline, Physics or Mathematics (especially Applied).
Computer Science degrees with sufficient mathematical content may be considered on an individual basis (pre-sessional Maths may be required).
All applicants are considered on an individual basis and additional qualifications, professional qualifications and experience will also be taken into account when considering applications.
Please see our International Student website for entry requirements by country and other relevant information for your country. Please note that international fee-paying students cannot undertake a part-time programme due to visa restrictions.
English language entry requirements
The University requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree. Certain subjects require a higher level.
For detailed information see our English language requirements web pages.
Need help with English?
Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.
The Communications group’s activities cover system and component technologies from microwave to terahertz frequencies. These include photonics, antennae and wireless components for a broad range of communication systems. The Group has extensive software research tools together with antenna anechoic chambers, network and spectrum analysers to millimetre wave frequencies and optical signal generation, processing and measurement facilities. Current research themes include:
- photonic components
- networks/wireless systems
- microwave and millimetre-wave systems
- antenna systems
- radio-over-fibre systems
- electromagnetic bandgaps and metamaterials
- frequency selective surfaces
Research projects available within the Communications Research Group are available to view here.
The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.
The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.
- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives
Research projects available within the Intelligent Interactions Research Group are available to view here.
Instrumentation and Control
The Instrumentation and Control Research Group works in two complementary research themes – Instrumentation and Control. The group has made considerable endeavours to solve challenging measurement, monitoring and control problems through applied research programmes with support from a range of funding bodies and industry. The group has established long term partnerships with the power generation, manufacturing and healthcare industries.
The group’s expertise lies primarily in process sensors, intelligent instrumentation, smart condition monitoring, digital image processing, data fusion, data modelling, and robust control and estimation. Since 2010 the group has published more than 100 research papers in leading journals and over 150 refereed conference papers in the field of instrumentation and control. In addition to a well equipped Instrumentation Laboratory on Kent Campus, the group has regular access to industrial-scale test facilities, full-scale power plants, hospitals and clinics.
Research projects available within the Instrumentation and Control Research Group are available to view here.
Staff research interests
Full details of staff research interests can be found on the School's website.
Dr Jim Ang: Senior Lecturer in Multimedia/Digital Systems
Human computer interaction; usability and playability design; computer game studies and interactive narrative; social computing and sociability design; virtual worlds; online communities and computer-mediated communication.View Profile
Professor John Batchelor: Professor of Antenna Technology
Design and modelling of multi-band antennas for personal, on-body and mobile communication systems; passive RFID tagging/sensing and skin mounted transfer tattoo tags; reduced-size frequency selective structures (FSS and EBG) for incorporation into smart buildings for control of radio spectrum.View Profile
Professor Farzin Deravi: Professor in Information Engineering, Head of School
Pattern recognition; information fusion; computer vision; image processing: image coding; fractals and self-similarity; biometrics; bio-signals; assistive technologies.View Profile
Dr Christos Efstratiou: Lecturer in Ubiquitous Computing
Ubiquitous computing, mobile computing, social computing, Internet of Things, wireless sensor networks.View Profile
Professor Steven Gao: Professor of RF/Microwave Engineering
Space antennas; smart antennas; microwave circuit and systems.View Profile
Professor Nathan Gomes: Professor of Optical Fibre Communications
Optical-microwave interactions, especially fibreradio networks; optoelectronic devices and optical networks.View Profile
Dr Richard Guest: Reader in Biometric Systems Engineering, Deputy Head of School
Image processing; biometrics technologies including usability, cybermetric linkages and standardisation; automated analysis of handwritten data; document processing.View Profile
Dr Sanaul Hoque: Lecturer in Secure Systems Engineering
Computer vision; OCR; biometrics; security and encryption; multi-expert fusion and document modelling.View Profile
Professor Gareth Howells: Professor of Secure Electronic Systems
Biometric security and pattern classification techniques especially deriving encryption keys from operating characteristics of electronic circuits and systems.View Profile
Dr Benito Sanz-Izquierdo: Lecturer in Electronic Systems
Antennas and microwaves.View Profile
Stephen Kelly: Senior Lecturer in Electronic Engineering
Medical electronics, including: electrocardiology; speech assessment; telemedicine and computerbased assessment of clinical conditions.View Profile
Dr Peter Lee: Senior Lecturer in Electronic Engineering
Embedded systems; programmable architectures; high-speed signal processing; VLSI/ASIC design; neural networks; optical sensor systems and applications; image processing using VLSI.View Profile
Dr Gang Lu: Senior Lecturer in Electronic Instrumentation
Advanced combustion instrumentation; visionbased instrumentation systems; digital image processing; condition monitoring.View Profile
Dr Gianluca Marcelli: Lecturer in Engineering
The understanding of complex systems, in particular, biological and financial systems; using mathematical modelling such as molecular simulation, Brownian dynamics and network theory.View Profile
Mr Robert Oven: Senior Lecturer in Electronic Engineering
Modelling of ion implantation processes and ion diffusion into glass for integrated optic applications.View Profile
Professor Ted Parker: Professor Emeritus of Radio Communications
Microwave antennas; frequency selective surfaces for microwave and millimetre wave multiband antennas (dichroics); radomes and frequency dependent screening for secure buildings.View Profile
Dr Matthew Pepper: Senior Lecturer in Electronic Engineering
Medical instrumentation: in particular in-shoe force measurement for gait analysis and rehabilitation engineering.View Profile
Dr Konstantinos Sirlantzis: Senior Lecturer in Intelligent Systems
Pattern recognition; multiple classifier systems; artificial intelligence techniques; neural networks, genetic algorithms, and other biologically inspired computing paradigms; image processing; multimodal biometric models; handwriting recognition; numerical stochastic optimisation algorithms; nonlinear dynamics and chaos theory; Markov chain Monte Carlo (MCMC) methods for sensor data fusion.View Profile
Professor Mohammed Sobhy: Professor Emeritus of Electronics
Analysis and applications of nonlinear electronic systems.View Profile
Professor Sarah Spurgeon: Professor of Control Engineering; Head of School of Engineering and Digital Arts
Fundamental developments in the area of nonlinear control and estimation, with a particular interest in variable structure and sliding mode systems; industrial and biomedical application of nonlinear control and estimation techniques.View Profile
Dr Les Walczowski: Senior Lecturer in Electronic Engineering
The development of dynamic web applications, mobile applications and e-learning technology.View Profile
Winston Waller: Senior Lecturer in Electronic Engineering
Design for test; analogue and digital VLSI design; medical applications of VLSI and low power voltage circuit design.View Profile
Dr Chao Wang: Senior Lecturer in Electronic Systems
Optical communications; microwave photonics; biophotonics.View Profile
Professor Jiangzhou Wang: Professor of Telecommunications
Modulation; coding; MIMO; mobile communications; wireless sensor networks.View Profile
Dr Xinggang Yan: Senior Lecturer in Control Engineering
Nonlinear control; sliding mode control; decentralised control; fault detection and isolation.View Profile
Professor Yong Yan: Professor of Electronic Instrumentation; Director of Research
Sensors; instrumentation; measurement; condition monitoring; digital signal processing; digital image processing; applications of artificial intelligence.View Profile
Dr Paul Young: Senior Lecturer in Electronic Engineering
Design and modelling of microwave and millimetrewave devices and antennas, especially substrate integrated waveguides and smart antennas.View Profile
Dr Huiling Zhu: Reader in Communications
Wireless communications and networking especially OFDMA; radio resource allocation; distributed antenna systems; wireless relay networks; user-centric networks; cooperative communications.View Profile
The 2019/20 annual tuition fees for this programme are:
|Advanced Electronic Systems Engineering - MSc at Canterbury:|
For students continuing on this programme fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.* If you are uncertain about your fee status please contact email@example.com
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