For the past two decades, researchers have reported a close relationship between chaos and cryptography. Encryption based on chaos theory - such as, logistic and tent maps - has several characteristics such as pseudo randomness, ergodicity and strong dependence on initial conditions. Read more
Mathematical systems and control theory “represents an attempt to codify, in mathematical terms, the principles and techniques used in the analysis and design of control systems” [1]. Read more
20 fully funded, four-year PhD studentships are available in the EPSRC Centre for Doctoral Training in Soft Matter for Formulation and Industrial Innovation (SOFI2 CDT) commencing in September 2023, for graduates in the physical and biological sciences, mathematics and engineering. Read more
Skills Development Scotland, amongst other institutions, have highlighted the importance of data literacy and analytical skills. The aim of this project is to understand the demand and supply for data analytical skills within Scotland. Read more
This research project aims to address pressing fundamental challenges in structural bonding and thereby propose innovative solutions to foster sustainable practices in construction and infrastructure, renewable energy sector, and automotive industry, etc. Read more
One fully funded PhD position to work with Dr Henry Gouk in the School of Informatics at the University of Edinburgh, on a projected titled “Machine Learning with Context”. Read more
The Biomedical and Astronomical Signal Processing group (. BASP. ) at Heriot-Watt University Edinburgh (. HWU. ), headed by Professor Yves Wiaux, jointly with Edinburgh's prestigious Centre for Doctoral Training on Mathematical Modelling, Analysis and Computation. Read more
Deep Neural Networks (DNNs) achieve the state-of-the-art performance in several tasks in computer vision, natural language processing, image reconstruction, and many other areas. Read more
This project aims to develop new computational algorithms to optimize the acquisition and processing of single-photon data and enable fast imaging in extreme conditions using statistical and learning based approaches. Read more
The recent advances in spiking neural networks (SNNs), standing as the next generation of artificial neural networks have demonstrated clear computational benefits over traditional frame/image-based neural networks. Read more
The aim of this project is to develop novel computational representations of geometry for the purpose of analysis, design, and synthesis of shapes. Read more
The proliferation of Big Data analytics is developing ever more sophisticated models for intelligent data-driven insight and decision making in business and in other areas such as health and social care. Read more
Euler Diagrams are known to be an effective method of representing set-based data, and can be applied to different fields, including ontology development. Read more
Smart multifunctional composites (MFCs) such as electroactive polymers, magnetoactive polymers, hydrogels, photosensitive polymers and liquid-crystal elastomers etc., are increasingly being used for various applications in soft robotics, precision drug delivery, tactile sensors and shape morphing. Read more
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