Jonathon Chambers is a widely-experienced academic and research leader and an expert in adaptive signal processing and machine learning and their application in biomedicine, communications and defence. He holds PhD (1990) and DSc (2014) degrees from Imperial College. He joined the School of Electrical and Electronic Engineering at Newcastle University in 2015 as the Head of the Communications, Sensors, Signal and Information Processing (ComS2IP) Group.
He has secured more than 25 research projects from industry and government to the value of approaching £10M. He is the Director of one of the two Dstl/EPSRC University Defence Research Collaboration consortia, LSSCN, which is running between 2013 and 2018, and led from Newcastle University. He has co-authored two research monographs, one in non linear adaptive signal processing and a second in EEG signal processing, both appearing with Wiley, in 2001 and 2007, respectively; and has published more than 450 other scientific works, including 150 journal papers, and has steered more than 70 researchers to PhD graduation.Jonathon holds Visiting Professor positions at King's College London and Loughborough University and has additionally held senior academic positions at Cardiff University and Imperial College. He has served as an Associate Editor/Senior Area Editor for IEEE journals, including IEEE Trans. Signal Processing, for more than ten years and was a Co-Technical Programme Chair for the IEEE flagship conference in Signal Processing, ICASSP, held in Prague, 2011. He is additionally a member of the organising committee of ICASSP 2019 which will be held in Brighton, UK. He was awarded the first QinetiQ Visiting Fellowship in 2007 "for his outstanding contributions to adaptive signal processing and his contributions to QinetiQ" as a result of his successful collaboration with the signal processing team at Malvern. He also received the Teaching Excellence Award from the Department of Electronic and Electrical Engineering at Loughborough University and he was awarded one of the four Research-Informed Teaching Awards from Loughborough University in 2013. He is also a Guest Professor at Harbin Engineering University, China, and since 2015 supported by the Chinese Govt's High-End Expert Programme. He was elected as a Fellow of the Royal Academy of Engineering in 2012 and was elevated to a Fellow of the IEEE in 2011. He is also a Fellow of the IET and Institute of Mathematics and its Applications (IMA). Current major research interests: advanced signal processing for wireless communication systems and multimodal technologies (audio-visual) to support human interaction; together with signal processing for assisted living and signal processing for the networked battlespace.
I am a lecturer in Biomedical Engineering at the School of Electrical and Electronic Engineering. I hold a secondary affiliation to the Institute of Neuroscience at Newcastle University.
In my research I combine analytical and experimental techniques and develop novel signal processing algorithms to understand how the brain learns to control limb movement. The findings enable the development of novel assistive, adaptive and rehabilitative technology for a variety of neurological and motor conditions. In addition, we are interested in the development efficient algorithms to study and model physiological tremor.
Dr Naqvi is Lecturer (i.e. Assistant Professor) in Signal and Information Processing at the School of Electrical and Electronic Engineering at Newcastle University.His main research focus is in multimodal (multi-sensor) signal and information processing for applications in homeland security, smart healthcare systems and future autonomous systems. He has above 60 publications/contributions in his research area.
Rajesh Tiwari is known for GNSS (Global Navigation Satellite Systems) software receiver, and expert in ionospheric modelling, and mitigation it’s effect for satellite based applications. He is also known for his GNSS software receiver used for V2X (vehicle to anything) communications.
As a specialist in acoustic signal processing research with over 20 years of experience, Jeff Neasham leads Newcastle’s work on underwater acoustic communication, positioning and imaging. Supported by the excellent facilities of the sensors, electromagnetics and acoustic laboratory (SEAlab), he and his team have taken innovative ideas through to products commercialised by three UK companies which used in subsea applications around the world. This expertise is also applied to biomedical instrumentation including affordable ultrasound scanning for the developing world and improved blood pressure measurement.
Alan Murray is a Professor in the School of Electrical and Electronic Engineering, with a specific research interest in Medical Devices. He also Professor of Cardiovascular Physics and Strategic Research Advisor in the Medical Faculty. He formed the international research group "Cardiovascular Physics and Engineering" as an active collaboration between university based academic research and hospital based clinical cardiology and cardiovascular surgery. Alan is active in Translational Research bringing together Engineering and Medicine, undertaking and encouraging research publications, grant funded research, PhD training, innovative medical device development, and collaboration with the medical device industry.
He has published over 300 research papers, including in Nature and Lancet. His primary areas of research are in the development of devices and measurement techniques of clinical value in cardiovascular medicine and surgery. He holds patents in blood pressure measurement and arterial measurement. One of his novel devices led to the creation of a spin-out company. The blood pressure measurement device for which he holds the patent is manufactured in the UK and sold internationally.
In recognition of his major achievements, Professor Dlay was appointed to a Personal Chair of Signal Processing Analysis in 2006. He holds PhD (1984) and BSc (1979) degrees from Newcastle University. He serves on several editorial boards and plays an active role in numerous international conferences in terms of technical and advisory committees as well as organising special sessions. Currently he is an advisor to the Commonwealth Scholarships Commission and an EPSRC Peer Review College member.
Professor Dlay is a member of the Communications, Sensors, Signal and Information Processing (ComS2IP) Group. He has published over 300 papers and successfully supervised over 60 PhD students. His major research interests are in mathematical theory and algorithms for data analysis. This includes areas of biometrics, biomedical signal processing, blind source separation and implementation of signal processing architectures. He has an extensive portfolio of relevant research supported by a variety of funding agencies.
Gui Yun Tian is a senior member of the Communications, Sensors, Signals & Information Processing (ComS2IP) research group and theme leader of Sensor Technologies. He is an expert in Sensors (electromagnetic sensors in particular), sensor array and sensor network, instrumentation systems incorporate: sensors for Non-destructive Evaluation and Structural Health Monitoring, signal processing and displays (visualisation), Internet of things and so associated research is interdisciplinary including mechanical engineering and material science.
Emma received Bachelor of Science and a Bachelor of Engineering from Monash University, Australia, in 2010. She majored in Physiology and Electrical and Computer Systems Engineering. She then went on to complete her PhD with the Monash Vision Group. Her thesis entitled “Novel Annular Electrodes for a Cortical Visual Prosthesis,” investigated different electrode geometries and materials to be used in cortical stimulation with the aim of restoring vision to the blind. On completion of her PhD thesis Emma was awarded the Douglas Lampard Electrical Engineering Research Medal for 2015.
Emma is currently a research associate within the Biomedical Signal Processing Laboratory at Newcastle University. Her current research is part of an ESPRC funded initiative “SenseBack” developing enabling technologies to provide sensory feedback to upper limb prosthesis users. Her research interests include the design of electrodes to be used in neural prostheses, and neuromodulation.
Born in Mazarrón (Spain), Dr Aparicio received his B.Eng. in Telecommunications Engineering, specialising in Networking from the Technical University of Cartagena (Spain).
He studied for a PhD in Electronic and Electrical Engineering at Loughborough University (UK), being sponsored on an EPSRC studentship.
Dr Aparicio works as a Research Associate at Newcastle University in the area of Cyber-Security and Intrusion Detection Systems. He is currently a member of the University Defence Research Collaboration in Signal Processing (UDRC) project, funded by Dstl and EPSRC. Dr Aparicio was previously a Research Associate at Loughborough University.
My background is in EEG for Brain-Computer Interfaces. I obtained my PhD from Essex University under the supervision of Francisco Sepulveda and John Qiang Gan. My first postdoctoral position was with the Centre National de la Recherche Scientifique (CNRS), where I investigated error feedback in a BCI context under the supervision of Boris Burle at Laboratoire de Neurosciences Cognitives Marseille. After a brief period working as a lab manager for the Adaptive Brain Lab at University of Cambridge I joined Kia Nazarpour’s team as a research associate.I am currently working on the SimCon project which aims to develop a novel biologically-informed approach for simultaneous control of multiple joints in upper-limb prosthesis. My general research interests are in biosignal analysis, real-time biomedical systems, errors and learning.
Hannah is a Project Manager within the prosthetics field. She is involved in the management of academic and industry projects across the team. Hannah graduated with a MA in Design Innovation, after completing an Intel Corporation scholarship at Northumbria School of Design. Hannah has worked with a variety of clients within industry, including international orthopaedic manufacturers, with the focus on innovation management practices.