My work seeks to emulate a key human trait of being able to use signals from different modalities images, speech, texts with other symbolic and numerical information where available, to learn, to make decisions, to plan, and to control complex systems. My research areas include artificial intelligence, neural networks, fuzzy logic, social media analytics and behavioural finance. Currently I am working on the automatic recognition of facial and voice emotion expression and we are a looking at the performance of well known emotion recognition systems; b developing a method for synthesising facial expressions with and vocal signals of emotions; and c to estimate the impact of these non-verbal emotions on the society at large.
I have shown how to estimate the impact of sentiment expressed in texts, across a range of languages, on market movement and election outcomes. The human trait of using multi-modal systems was used by us in building systems that could be used to search for images given verbal cues and to find keywords for describing images.
We have shown how such systems can be used in forensic science and diagnostic medicine. My other major projects include building a large-language models to investigate politico-historical questions like the emergence of states; cyber security of critical infrastructure; and, the impact of low-level wind shear at airports. I was trained as a nuclear physicist; in computing I have worked in areas such as forecasting, computer-assisted learning Russian and German , engineering design, and information extraction from continuous information streams comprising texts, images and numbers.
I have designed and implemented systems that learn to deal with the different modalities of communications and systems that learn language like children do. He has published over papers including 6 books; his most recent book is on the topic of Social Computing and the Law Cambridge and a five years before he published Affective Computing and Sentiment Analysis: Metaphor, Ontology and Terminology Springer.
Metaphors in Finance. Interaction of sentiment and named entities with prices and volumes of financial and commodity instruments. Information systems, Languages and literature, Graphics, augmented reality and games, Philosophy, Ethics and Religion, Neurosciences, Artificial intelligence and machine learning, Economics and Business Administration,.
