Areas of Expertise (7)
Traffic Management Systems
Professor Robert Piechocki is based in the Department of Electronic Engineering where his research concerns the use of connected technologies in relation to driverless vehicles. He is also investigating remote healthcare at-home monitoring of patients through the use of sensors to track movement and to inform remote healthcare management.
His early career involved signal processing and 3G wireless systems. He now works on the creation of automated systems that allow for more autonomous approaches to life through, for example, digital health and through remote traffic planning and coordination. Professor Piechoki looks at connectivity and the reliability of communications systems, working with car manufacturers, road planners and others from government and industry to support his research. He has published more than 170 papers in international journals and holds 13 patents.
University of Bristol: Ph.D., Wireless Communications 2002
Wroclaw University of Science and Technology: M.Sc., Electronics 1997
Media Appearances (5)
For self-driving cars, winter is coming
Robert Piechocki, professor of wireless systems at the University of Bristol, told ZDNet: "It's a bit of a reality check, after a lot of upbeat announcements recently. We thought connected cars deployment would be imminent, but it's much slower than initially thought. We are entering a sort of connected cars winter."
The hunt for security flaws in self-driving cars steps up a gear
Autonomous Tech News online
“Ministers understand that this is an important topic,” Robert Piechocki, professor of wireless systems at the University of Bristol, told ZDNet. “But in short, we need more money. New ideas are being introduced all the time, and there might be additional vulnerabilities that we don’t know of.”
Self-driving cars: The hunt for security flaws steps up a gear
"Ministers understand that this is an important topic," Robert Piechocki, professor of wireless systems at the University of Bristol, told ZDNet. "But in short, we need more money. New ideas are being introduced all the time, and there might be additional vulnerabilities that we don't know of."
FLOURISH project reports on connectivity research
Highways Magazine online
Robert Piechocki, Professor of Wireless Systems at the University of Bristol, explained, “Digitally connected vehicles have the potential to revolutionise the cities we live in and the way we travel. Our research into the optimum conditions for the robust, effective and resilient transfer of data is the cornerstone of a new customer journey experience.
University of Bristol lead project using WiFi for medical radar
“A great deal of scientific and engineering ingenuity around the world goes into the creation of bespoke sensing systems. There is certainly a place for such systems,” said Dr Robert Piechocki, principle investigator and Reader in Wireless Connectivity in the Department of Electrical and Electronic Engineering at the University of Bristol.
Vesta: A digital health analytics platform for a smart home in a boxFuture Generation Computer Systems
2020 This paper presents Vesta, a digital health platform composed of a smart home in a box for data collection and a machine learning based analytic system for deriving health indicators using activity recognition, sleep analysis and indoor localization. This system has been deployed in the homes of 40 patients undergoing a heart valve intervention in the United Kingdom (UK) as part of the EurValve project, measuring patients health and well-being before and after their operation.
Passive WiFi Radar for Human Sensing Using a Stand-Alone Access PointIEEE Transactions on Geoscience and Remote Sensing
2020 Human sensing using WiFi signal transmissions is attracting significant attention for future applications in e-healthcare, security, and the Internet of Things (IoT). The majority of WiFi sensing systems are based around processing of channel state information (CSI) data which originates from commodity WiFi access points (APs) that have been primed to transmit high data-rate signals with high repetition frequencies.
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation SystemsarXiv
2020 In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the development and optimization of Cooperative Intelligent Transportation Systems (C-ITSs): a confluence of cyber-physical digital infrastructure and (semi) automated mobility.
TSCH Networks for Health IoT: Design, Evaluation, and Trials in the WildACM Transactions on Internet of Things
2020 The emerging Internet of Things has the potential to solve major societal challenges associated with healthcare provision. Low-power wireless protocols for residential Health Internet of Things applications are characterized by high reliability requirements, the need for energy-efficient operation, and the need to operate robustly in diverse environments in the presence of external interference.
From bits of data to bits of knowledge—an on-board classification framework for wearable sensing systemsSensors
2020 Wearable systems constitute a promising solution to the emerging challenges of healthcare provision, feeding machine learning frameworks with necessary data. In practice, however, raw data collection is expensive in terms of energy, and therefore imposes a significant maintenance burden to the user, which in turn results in poor user experience, as well as significant data loss due to improper battery maintenance.