Dr Adrian Ambroze
Lecturer in Digital Communication Engineering
School of Computing, Electronics and Mathematics (Faculty of Science and Engineering)
MEng/BEng/BSc/MSc Electrical and Electronic Engineering Programme Manager
MSc Admission Tutor
Admissions/Recruitment Tutor with ESEO Angers at Undergraduate and MSc level
Module leader for ELEC140, ELEC142, ELEC238, ELEC239, ELEC518 and participate in the delivery of the ELEC143 Immersive Module.
PhD projects: I currently supervise 7 students (of which 3 as DoS) and I have 16 completions (of which 5 as DoS). Whilst most projects are in communications and source coding (including steganography and watermarking), I also have projects in big data, improved location algorithms, power electronics, security applications (wiretap channels, RFID), education and CAD simulation for engineering applications.
PhD Examiner Experience: Internal examiner for 6 PhD students, External examiner for 1 PhD student.
PhD in Digital Communications, University of Plymouth (2000)
BEng Telecommunications Engineering (First Class Hons), Technical University of Cluj-Napoca, Romania (1996)
MIEEE (Member of Institute of Electrical and Electronic Enginners)
Roles on external bodies
IEEE Transactions on Communications
IEEE Transactions on Image Processing
IEEE Signal Processing Letters
IET Proceedings Vision and Image Processing
IET Proceedings Communications.
I teach digital electronics and embedded programming, telecommunications systems principles, coding and information theory to undergraduate and MSc students,
ELEC518: Digital And Wireless Communications (S1, EEE programme, MSc) *
ELEC238/239: Communication Systems (S1, EEE Stage 2) *
ELEC140/142: Digital Electronics (S2, EEE/Robotics Stage 1) *
ELEC143: EEE/Robotics Immersive Module (S1, EEE/Robotics Stage 1)
* Module Leader
Source and Channel Coding, Coding with Side Information, Information and Coding Theory. I am especially intrigued by the rate loss in some cases of side information (e.g. binary symmetric) and not others (e.g. Gaussian), the links with correlation and random variable dependence and the central role of Gaussian distributions.
Lossless Data Compression, correlated source coding (Slepian-Wolf and Wiener-Ziv practical code design).
Signal Processing (particularly for communications, image and video processing, more currently medical image processing for early detection of tumours).
Satellite and wireless communications as applications of signal processing, coding and modulation design.
Communications channels, practical code design and theoretical limits. Design of capacity approaching codes for channel and source coding, with or without side information.
The link between iterative decoding of communications codes and neural networks (belief propagation).
Last (but not least) I enjoy writing complex communications algorithm simulations in C++, including fast searching for good permutations, the wonders of tree search, finding minimum distances and identifying trapping sets in iterative decoding, visualising extrinsic information exchanges, providing a practical check for my ever expanding interest in mathematics, probability distributions and information theory. For all that and more, I found C++ a powerful and intriguing tool.
Grants & contracts
CI: EU Marie Curie Grant, AiPBAND - An Integrated Platform for Developing Brain Cancer Diagnostic Techniques (Euro 3.7 Million).
PI: KTP Bombardier Transportation, Coded Track Circuit (£93K) (REF2014 case study, judged 80% World Leading).
PI: UoPE TRL Project, Digital Video Compression with Low Latency (£56K)
- Centre for Security, Communications and Network Research (CSCAN)
Key publications are highlightedJournals