I am a Professor in Applied Artificial Intelligence in the Department of Electronic and Electrical Engineering. I re-joined the University of Strathclyde in 2011 and in 2016 I was awarded a prestigious Chancellor’s Fellow award. I became a Senior Lecturer in 2018, a Reader in 2021, and a Professor in 2024. My current activities focus on applied Artificial Intelligence and industrial informatics, with particular emphasis on:

1. Computer Vision for Image and Video
2. Multimodal Learning
3. Domain adaptation
4. Causality and explainability

My research interests are interdisciplinary, spanning across various application domains and industrial sectors, including:

• Sustainable Agri-food Systems (Livestock and Arable)
• Digital Health
• Advanced Manufacturing
• Cybersecurity

I am the Theme Lead for the Measurement, Digital and Enabling Technologies (MDET) Strategic Theme, Co-Director of the Laboratory for Innovation in Autism, Strathclyde lead for the UKRI AI Centre for Doctoral Training in Sustainable Understandable agri-food Systems Transformed by Artificial INtelligence (SUSTAIN), and a member of the HeatlhTech Cluster management team. Additionally, I serve on the Innovation Advisory Board in The Data Lab Innovation Centre, advising on innovation and collaborative projects. I am also a member of the Specialist Advisory Group on applications of Artificial Intelligence for Environment, Natural Resources & Agriculture Policy advising Scottish Government on the use, future opportunities, risks and regulatory aspects of AI. I am a strong advocate for interdisciplinary research and I am involved in multiple projects funded by UKRI, InnovateUK and H2020.

Machine Learning and Artificial Intelligence:

• Deep Learning Video and Image Analytics (Multi-view Multi-object Detection and Tracking, Image reconstruction, Image Inpainting and Synthesis)
• Time Series Classification, forecasting and generation/imputation
• Anomaly Detection and Event Classification
• Remote Sensing and Earth Observation
• Spectral analysis and Hyperspectral Imaging

• Machine Learning and Artificial Intelligence
• Computer Vision
• Video Analytics
• Edge and Cloud Computing Analytics

Currently teaching two classes:

• EE992 - Neural Networks and Deep Learning
• EE273, EE985 - Engineering Design For Software Development 2: Object oriented programming using C++

Modules taught in the past:

• EE579 Advanced Microcontroller Applications - fifth year microcontrollers class using MSP430 in Assembly and C.
• EE987 - Sensor technologies
• DM996 - Intelligent Sensing, Reasoning And Deep Learning

• Member of the IET
• Senior Member IEEE
• Fellow of the Higher Education