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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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ACRC Academy Administrator
gregor.hall@ed.ac.uk
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Integrated Micro and Nano Systems
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Gregor has been working in professional services at the University of Edinburgh since 2014. HIs first role was in the Informatics Teaching Organisation undergraduate office. In 2019 he moved to support postgraduate students in the Pervasive Parallelism Centre for Doctoral Training.
Gregor has been with the ACRC since 2021, when he became the administrator for the AIM-CISC research programme (Artifical Intelligence Multimorbidity - Clusters in Individuals, Spaces and Clinical Context). In early 2025 he took the role of ACRC administrator, and in September 2025 he landed the position of ACRC Academy administrator.
Postgraduate Diploma in Information Systems, 2001.