Professor Elena Gaura
Elena received her BSc/MSc in Electrical Engineering in 1989/1991 (Technical University of Cluj Napoca, Romania), and her PhD in Intelligent Sensor Systems in 2000 (Coventry University). She was appointed as inaugural director of the Coventry University’s Cogent Computing Applied Research Centre in 2006 (which position she held until her appointment in 2013 as Associate Dean for Research) and was awarded a Professorship in Pervasive Computing in 2009. Over the course of her career, Elena has accrued a sturdy academic reputation in the area of MEMS based smart sensing systems in general and wireless sensor networks (WSNs) in particular. She is a very active disseminator of research both to the academic community and industry, has over 140 refereed conference publications, 35 peer reviewed journal publications, is a frequent organiser of Smart Sensing and Wireless Sensor Networks events (stand alone conferences and tracks/sessions within larger events) and a successful editor of journal special issues and books (see list below). Elena is a member of several national and international advisory bodies in the areas of sensing and microsystems, including the UK’s Engineering and Physical Sciences Research Council College of Peers (www.epsrc.gov.uk) and the USA’s Nano Science and Technology Institute (www.nsti.org). She chairs the UK Wireless Intelligent Sensing Interest Group (WiSIG) within the Electronics, Sensors, Photonics Knowledge Transfer Network and an expert reviewer for the European Commission on Wireless Sensing and the Internet of Things activities.
Presently her research is with the development of deployable WSNs for real-life applications with a focus on: i) robust end-to-end system design and technologies integration, ii) MEMS technology integration in multi-sensor systems, iii) real-time, model based sensor fusion and information extraction from wireless sensor networks, iv) integration of decision engines within poorly resourced WSN systems v) field phenomena event detection and representation using WSNs and vi) long lived, resource constrained WSNs. A particular strength in Prof. Gaura’s research over the past years has been working with application area specialists and end-users of WSN systems. She is currently leading a number of WSN driven research projects, all of which have a strong industrial pull and sponsorship. She is actively involved with the European Commission and regional government organizations to promote the knowledge transfer from academia to industry and society at large, particularly focusing on the use of sensing technologies for improving people’s life and towards the adoption of wireless technologies for fulfilling UK’s carbon footprint reduction targets in Transportation and the Built Environment.
Prof. Gaura is a reviewer for a number of journals, including IOP Measurement Science and Technology, IEEE Trans. on Signal Processing, IEEE Sensors Journal and IEEE Industrial Electronics. She is a Committee Member for 6 annual conferences, including IEEE Sensors and an Editorial Board member for 2 journals. During her research career spanning 20 years, Prof. Gaura has grown considerable awareness of and insight into a number of engineering disciplines neighbouring the domain of her specialism (sensing). This brings her continuous recognition worldwide as a sound academic, with demonstrated ability to judge the quality of academic work at a variety of levels: from publications in conferences and journals to PhD thesis and research proposals.
Her work draws sponsorship from the UK Research Councils, the UK Technology Strategy Board and directly from industry, supporting a number of research staff and graduate students.
- Gaura, E.I., Brusey, J., Allen, M., Wilkins, R., Goldsmith, D., and Rednic, R. (2013) 'Edge mining the internet of things'. IEEE Sensors Journal 13 (10), 3816-3825.
- Gaura, E., Kemp, J., and Brusey, J. (2013) 'Leveraging knowledge from physiological data: On-body heat stress risk prediction with sensor networks'. IEEE Transactions on Biomedical Circuits and Systems 7(6) 861-870.
- Gaura, E., Brusey, J., Kemp, J., and Thake, C.D. (2009) 'Increasing Safety of Bomb Disposal Missions: A Body Sensor Network Approach'. IEEE Transactions on Systems, Man & Cybernetics. Part C: Applications & Reviews 39 (6), 621-636.
- Brusey, J., Rednic, R., Gaura, E., and Kemp, J. (2009) 'Postural Activity Monitoring for increasing safety in bomb disposal missions'. Measurement Science and Technology 20 (7), 075204-075215.
- Brusey, J., Gaura, E., Goldsmith, D., and Shuttleworth, J. (2009) 'FieldMAP: A Spatio-Temporal Field Monitoring Application Prototyping Framework'. IEEE Sensors Journal 9 (11), 1378-1390.
- Gaura, E., and Newman, R.M. (2006) Smart Sensors and Systems. London: Imperial College Press and World Scientific Publishing
- Gaura, E., Girod, L., Brusey, J., Allen, M., and Werner Challen, G. (2010) Wireless Sensor Networks: Deployments and Design Frameworks. Springer
- Sensors Toward Advanced Control and Monitoring of Gas Turbine Engines (STARGATE): STARGATE aims to develop advanced sensors, instrumentation and related systems for the next generation of efficient gas turbine engines.
- ASSIST - User perspectives on Assistive technologies in Social Housing Case Schemes: Understanding and engaging with how elders feel and behave towards AT, to enhance its acceptance and success when deployed.
- EMPOWER: Towards Low Carbon Living in the Social Sector: A sensor-based survey of homes is used to identify energy use patterns, to understand the current state of energy consumption in Orbit’s general needs housing stock.
- SUSTAINS - Structures and Users: Sustainable Technologies Assessment through Intelligent Networked Sensing: Cogent Computing is working with Orbit Heart of England, a large housing association, to support work in newbuild sustainable housing.
- Advanced Sensing Technologies for Protection Suits: This project investigated advanced sensing, feedback, and control methods for increasing the safety of wearers of heavy protective clothing.
- Class-ACT - Accelerometer based real-time activity classifier: Enabling pursuit of new lines of clinical quantitative research for posture / mobility-related medical conditions, through development of wearable instrumentation.
- Model-based Transmission Reduction and Virtual Sensing in Wireless Sensor Networks (WSNs): The aim is to remove significant roadblocks to wider adoption of WSN technology by producing a unified architectural framework for the development of WSNs.
- C-cubed: Cabin Comfort Control - Virtual Sensor-based HVAC control for improved comfort and energy efficiency: Using a Reinforcement Learning algorithm embedded in the car,the HVAC control can learn user preferences, and potentially, accommodate individual preferences.
- DECENT HOMES - Distributed Evaluation of Carbon Emissions through NeTworked sensing in HOMES: Cutting-edge research into 'retrofitting' buildings for the future, to reduce energy consumption and help against fuel poverty.
- SAFE - SmArt Fall dEtection: Research proposes machine-learning algorithms for fall detection using wearable sensors. Focus is on geriatric usability, low false positives and negatives, and thorough analysis of factors influencing fall detection.