Professor Khurshid Ahmad

I am the Professor of Computer Science in the School of Statistics and Computer Science, Trinity College Dublin, University of Dublin, Ireland since 2005. He was Professor of Artificial Intelligence at the University of Surrey, UK (1999-2005). I was the founding Head and Professor of Artificial Intelligence of the Department of Computing, University of Surrey, UK (1999-2005); Visiting Professor at the Copenhagen Business School (1998, 2013) and University of Surrey (2005-2008). I grew up in Pakistan where he obtained a first class honours degree in Physics and a Masters in Nuclear Physics with distinction from the University of Karachi: he obtained his PhD in Nuclear Structure Physics from the University of Surrey in 1975. 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. My collaborators have been diverse ranging from major EU and US universities, international banks and financial enterprises, National Gallery of Ireland, law enforcement and emergency management agencies, IT companies like Siemens AG, Cap Gemini, ATOS and others. He has published over 250 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). He has supervised 45 PhD, 1 MPhil, and 21 MSc students successfully, and is currently supervising 2 PhD students and 6 MSc students. He is an elected Fellow of the British Computer Society and of Trinity College Dublin, and a Chartered Engineer of the UK Engineering Council.

  Artificial Intelligence/Cybernetics   Bayesian Inference   Behavioural Economics   behavioural Finance   Bioinformatics & Computational Biology Techniques   Business Cycles/Crises   Cognitive Development/Processes   cognitive linguistics   Computational and theoretical models of cognitive processes   Computer Vision and Image Processing   Content Based Video Analysis   Criminal Information Systems   Decision support tools   Econometric and statistical analysis   Econometrics/Forecasting   Expert Systems   Imaging and Computer Vision   Infant Psychology   Innovation and growth   Internet technologies   Knowledge Acquisition   Knowledge and data engineering   KNOWLEDGE BASED SYSTEMS   KNOWLEDGE BASES   KNOWLEDGE ENGINEERING   Knowledge Management   Knowledge Representation   LANGUAGE ACQUISITION   Language Acquisition and Development   LANGUAGE DISORDER   Multimedia   Natural Language Programming   NEURAL COMPUTING   NEURAL DEVELOPMENT   NEURAL NETWORKS   Neurodegeneration   Neuroinformatics   Nuclear Physics   Pattern Recognition   Relativity   Statistical and simulation methodologies   Systems control, Modelling, Neural networks   Theoretical Physics

ARTIFICIAL INTELLIGENCE: Terminology and Ontology; Knowledge Acquisition; Expert Systems. NEURAL NETWORKS: Multi-net neural computing systems, simulation of developmental and of degenerative systems. BEHAVIOURAL FINANCE: Affect and sentiment analysis. Metaphors in Finance. Interaction of sentiment and named entities with prices and volumes of financial and commodity instruments. KNOWLEDGE MANAGEMENT: Discovery and Innovation; Knowledge Transfer especially best practice.