Purpose of this page
This page lists the members of the Research sub-group Scalable AI and their associated research interests. These interests are not targeted at a particular level, and can be considered (with appropriate levelling) towards undergraduate, MSc and PhD level. Please make contact if you're interested.
Also listed here is a link to Google Scholar Profiles, which will give you some idea of the sorts of work were interested in.
Also listed here is a link to Google Scholar Profiles, which will give you some idea of the sorts of work were interested in.
Dr Andrew Stephen MCGough
Main focus: Machine Learning
Main interests within this focus: Deep Learning
Other areas of interest: Green Computing, Simulation, Security
Google Scholar profile: https://scholar.google.co.uk/citations?user=ZgtwW-0AAAAJ&hl=en
Personal web pages: Stephen McGough
Some keywords: Image Recognition (for science), Activity Recognition (for science), Applied Machine Learning, Computer Vision (for science), Data Science, Decision Making, Digital Twins, e-Science, Energy Efficient Computing, Graphs and AI, Modelling and Simulation, Scalability of AI, Computer Security (AI4Security)
Some potential ideas for Undergraduate / MSc projects:
Main interests within this focus: Deep Learning
Other areas of interest: Green Computing, Simulation, Security
Google Scholar profile: https://scholar.google.co.uk/citations?user=ZgtwW-0AAAAJ&hl=en
Personal web pages: Stephen McGough
Some keywords: Image Recognition (for science), Activity Recognition (for science), Applied Machine Learning, Computer Vision (for science), Data Science, Decision Making, Digital Twins, e-Science, Energy Efficient Computing, Graphs and AI, Modelling and Simulation, Scalability of AI, Computer Security (AI4Security)
Some potential ideas for Undergraduate / MSc projects:
- Skin vision AI: Machine learning for the diagnosis of skin cancer
- Deep Learning Diagram to Code
- Does dimensional reduction affect clustering?
- GANs and tracking of Larva
- Identification of Similar Images using Autoencoders
- Identifying defects in 3D printings using GANs
- Using Deep Learning to identify elements on a page
Dr Amir Atapour Abarghouei
Main focus: Machine Learning
Main interests within this focus: Deep Learning
Other areas of interest: Image Processing, Computer Vision, Monocular Depth Estimation, Semantic Segmentation, Style Transfer, Autonomous Driving, Robotic Navigation, Natural Language Processing, Text Classification, Sentiment Analysis, Natural language generation, Anomaly Detection, Domain Adaptation and Data Augmentation
Google Scholar profile: https://scholar.google.co.uk/citations?user=1PuXgDoAAAAJ&hl=en
Personal web pages: https://northerncloudcrimecentre.org/2019/04/amir-atapour-abarghouei/
Some keywords:
Main interests within this focus: Deep Learning
Other areas of interest: Image Processing, Computer Vision, Monocular Depth Estimation, Semantic Segmentation, Style Transfer, Autonomous Driving, Robotic Navigation, Natural Language Processing, Text Classification, Sentiment Analysis, Natural language generation, Anomaly Detection, Domain Adaptation and Data Augmentation
Google Scholar profile: https://scholar.google.co.uk/citations?user=1PuXgDoAAAAJ&hl=en
Personal web pages: https://northerncloudcrimecentre.org/2019/04/amir-atapour-abarghouei/
Some keywords:
Stephen Bonner
Main focus: Machine Learning
Main interests within this focus: Deep Learning
Other areas of interest:
Google Scholar profile: https://scholar.google.co.uk/citations?user=NhwYLnUAAAAJ&hl=en
Personal web pages:
Some keywords:
Main interests within this focus: Deep Learning
Other areas of interest:
Google Scholar profile: https://scholar.google.co.uk/citations?user=NhwYLnUAAAAJ&hl=en
Personal web pages:
Some keywords:
Phil Jackson
Main focus: Machine LearningMain interests within this focus: Deep Learning
Other areas of interest:
Google Scholar profile: https://scholar.google.co.uk/citations?user=PJIQyL8AAAAJ&hl=en
Personal web pages:
Some keywords: