Image
Integrated Micro and Nano Systems
Advanced electronic/optoelectronic technologies designed to allow stable, intimate integration with living organisms will accelerate progress in biomedical research; they will also serve as the foundations for new approaches in monitoring and treating diseases.
Visiting student and Research Associate in AI for Electron Device Design
yhao@ed.ac.uk
1.26 Murchison House
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Research Fellow
ashaban@ed.ac.uk
1.26 Murchison House
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Research Associate in AI for Electronics Testing and Verification automation
yzhao8@ed.ac.uk
1.26 Murchison House
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Research Associate
dliddle3@ed.ac.uk
G.04 Scottish Microelectronics Centre
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Research Associate in AI for Electronic Systems Modelling
kyang@ed.ac.uk
1.26 Murchison House
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Research Associate in AI for Electron Device Design
zbhat@ed.ac.uk
1.26 Murchison House
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Research Assistant in Single-photon Sensor Technology for LIDAR
Alexander.Strachan@ed.ac.uk
3.02 Scottish Microelectronics Centre
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Recent advances in large-array-format SPAD sensors call for novel image-processing pipelines (ISPs) to create optimised computer vision systems using these sensors.
The single-photon detection capability of SPADs, together with accompanying in-pixel computation, provides an opportunity for tailored optimisation of resolution, dynamic range, signal-to-noise ratio, and motion capture in challenging scenes.
To refine the ISP for computer vision, the resulting SPAD sensor and ISP will be deployed in a real computer vision application, such as robotic navigation, fall detection, or human tracking.
The project deliverables will be as follows:
- A bespoke ISP optimised for single-photon input data
- A demo system with application-specific optimisation
- Analysis and refinement of optimal ISP partitioning and in-pixel compute
The project is supported by STMicroelectronics and will involve close engagement with STMicroelectronics Imaging Division, Edinburgh.
I. Gyongy et al., "A Direct Time-of-Flight Image Sensor With In-Pixel Surface Detection and Dynamic Vision," in IEEE Journal of Selected Topics in Quantum Electronics, vol. 30, no. 1: Single-Photon Technologies and Applications, pp. 1-11, Jan.-Feb. 2024, Art no. 3800111, doi: 10.1109/JSTQE.2023.3238520
An undergraduate degree at 2:1 or above (or international equivalent) in a relevant science or engineering discipline, possibly supported by an MSc degree.
Funding is provided for this project and is open to Home and Overseas students.
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