Expertise and Applications
Our group’s expertise can be summarised by these keywords:
- machine learning / neural networks / deep learning
- computer vision
- optimisation
- evolutionary algorithms / metaheuristics
- signal processing
- explainable and trustworthy AI
- statistical analysis
- dimensionality reduction
Our work is a mixture of theoretical development and applied research; applications include:
- healthcare
- sensory systems & interpreting sound
- assistive technology
- engineering
- transportation
Some of our group members are also part of the cross-institutional Computational Vision and Image Processing (SVIP) group. You can learn more about this here.
Members
Dr Jason Adair – Lecturer
optimisation; metaheuristics; machine learning; explainability
optimisation; metaheuristics; machine learning; explainability
Dr Ahsan Adeel – Associate Professor
Biologically plausible neural net; Neural information processing; Dendritic computation; Multisensory integration; Neuromorphic nanotechnology
Biologically plausible neural net; Neural information processing; Dendritic computation; Multisensory integration; Neuromorphic nanotechnology
Dr Vahid Akbari – Lecturer
Earth observation; Radar remote sensing; statistical modeling; machine learning
Earth observation; Radar remote sensing; statistical modeling; machine learning
Dr Hazrat Ali – Lecturer
Medical AI
Medical AI
Dr Leonardo Bezerra – Lecturer
Heuristic; optimization; Machine and deep learning; Automated algorithm engineering; Data science; AI accountability
Heuristic; optimization; Machine and deep learning; Automated algorithm engineering; Data science; AI accountability
Dr Sandy Brownlee – Associate Professor, Group Leader
optimisation; metaheuristics; explainability
optimisation; metaheuristics; explainability
Dr Burcu Can Buglalilar – Lecturer
natural language processing; computational linguistics; deep learning; machine learning
natural language processing; computational linguistics; deep learning; machine learning
Giancarlo Catalano – PhD Student
Optimisation; Metaheuristics; Explainability
Optimisation; Metaheuristics; Explainability
Ipshita Roy Chowdhury – PhD Student
Deep Learning; Malware; Ontology; Signal Processing
Deep Learning; Malware; Ontology; Signal Processing
Dr Yuanlin Gu – Lecturer
NARMAX method; Interpretable machine learning; Model uncertainty; Multidisciplinary applications
NARMAX method; Interpretable machine learning; Model uncertainty; Multidisciplinary applications
Dr Simona Hapca – Lecturer
statistical methodology; health and social care
statistical methodology; health and social care
Prof Gabriela Ochoa – Professor
Evolutionary Computation; Fitness Landscape Analysis; Metaheuristics; Hyper-heuristics; Neuroevolution
Evolutionary Computation; Fitness Landscape Analysis; Metaheuristics; Hyper-heuristics; Neuroevolution
Dr Stefano Sarti – Teaching Assistant / Research Assistant
Evolutionary Algorithms; Neural Networks; Neuroevolution
Evolutionary Algorithms; Neural Networks; Neuroevolution
Prof Leslie Smith – Emeritus Professor
Artificial general intelligence; sensory systems; interpreting sound; neuromorphic systems
Artificial general intelligence; sensory systems; interpreting sound; neuromorphic systems
Dr Paulius Stankaitis – Lecturer
Safe AI; Formal Methods; Cyber-Physical Systems
Safe AI; Formal Methods; Cyber-Physical Systems
Prof Kevin Swingler – Professor, Head of CSM
Computer vision; AI; machine learning; assistive technology
Computer vision; AI; machine learning; assistive technology
Theme by the University of Stirling