All of our research activities build on a simple unifying idea: exploit information about the physical world to make more efficient computing systems that interact with nature.
We apply this single idea to investigate new approaches to sensors, sensor I/O, new processor architectures for sensor systems, machine learning from sensor data, and actuators/displays that exploit properties of human perception. We conduct fundamental research augmented with hardware prototypes to get the results of our research out into the world.
Prospective Ph.D. students: First apply to the graduate program before getting in touch. We usually only consider students who have previously completed a successful internship/UROP or M.Eng. project in the group. For a list of some of the available student research projects, see here.
6th January 2020: Second accepted paper in a row nominated for best paper award, after an arduously-long review process. The article will appear in ACM Computing Surveys. Preprint here
17th October 2019: Our work on machine learning from physically-derived data nominated and wins best paper award at Embedded Systems Week. The article appears in ACM Transactions on Embedded Computing Systems (TECS), October 2019, Article No. 84. Link to article
21st March 2019: A few exciting paid UROP projects still available for summer 2019! See project listings at Engineering Department's UROP page
14th March 2019: Job opening for another Research Assistant/Associate in Embedded Multi-Sensor Computing Systems. Application deadline: 31st March 2019. Apply here.
17th September 2018: Job opening for a Research Assistant/Associate in Embedded Multi-Sensor Computing Systems. Application deadline: 22nd October 2018. (Now closed; position filled).
10th July 2018: Low-power miniature sensor hardware investigation funded by EPSRC MAPP Hub. Link to EPSRC MAPP hub page
27th June 2018: Our work with Imperial and Sheffield on "Continuous Analysis within 3D-Printed Structures Using In-Chamber Sensors" wins best poster award at the Connected Everything EPSRC-funded Network Plus conference in Newcastle.
10th May 2018: Job opening for a Research Assistant/Associate in In-Chamber Sensing for Selective Laser Sintering. (Now closed. Project completed.).
17th April 2018: A few exciting paid UROP projects still available for summer 2018! See project listings at Engineering Department's UROP page
15th March 2018: Eleven IIB/M.Eng. projects available for Cambridge fourth-year undergraduates in Michaelmas 2018.See project listings at Engineering Department's COMET page (deadline is now passed for Michaelmas 2018).
1st March 2018: £1.5M EPSRC project to investigate on-body biometrology, sensing, and therapeutics with Kent (PI), Cambridge as Co-I, along with ICL, UCL, UWE, and Bath, kicks off in March 2018. Link to EPSRC project summary page
We investigate how constraints imposed by physics on sensor signals can enable new ways of obtaining data from sensors while protecting privacy. We use insights about measurement uncertainty and how it propagates computations to investigate new programming languages, processor architectures, and microarchitectures for computing on physical measurements from sensors.
We investigate techniques that reduce the activation and I/O energy used by sensors such as accelerometers used in everything ranging from wearable health monitors to industrial and environment monitoring sensors.
3-bit words incurring up to 2 bit-level upsets (green).
63, and their serial intra-word transitions.
We investigate techniques that reduce OLED display power use by exploiting properties of human color vision perception.
Power dissipation (radius) versus hue (angle) for one OLED display.
Our research objective is to use in situ sensing to investigate the relationship between sensed phenomena such as in-chamber and in-powder temperature, humidity, etc., and the process of selective laser sintering (SLS). We are building a sensor-enhanced SLS printer which will provide, for each part produced, a detailed volumetric (per-build-layer of its construction) dataset of the variations in composition and information on the in-powder, in-chamber, and ambient conditions.
Pictures from our SLS printer assembly along with pictures of the inside of the chamber during a print and after printing.