Professor Khurshid Ahmad

Khurshid is the Professor of Computer Science in the School of Statistics and Computer Science, Trinity College Dublin, University of Dublin, Ireland since 2005. He was formerly Professor of Artificial Intelligence at the University of Surrey, UK (1999-2005). He is currently working on spinning out his research in emergency management and decision making as a commercial venture: the product will be a social media monitor for use in emergencies including natural disasters like floods, and health pandemics. Khurshid's research areas include artificial intelligence, machine learning, social media and networks, fuzzy logic and behavioural finance. He was trained as a nuclear physicist and worked in high-performance computing covering areas such as forecasting, computer-assisted learning, engineering design, and information extraction from continuous information streams comprising texts, images and numbers. His work seeks to maximise the potential of computing systems by enabling these systems to deal with different modalities of human communications, language, vision, and numerical information exchange. Khurshid's current focus is on the automatic analysis facial expressions and hand gestures of politicians, civil protection officials, and market traders during emergencies. His collaborators have been diverse ranging from National Gallery of Ireland, UK and Irish Police Forces, Bundeskommnado Leipzig, Protezione Civile Veneto, Italy, Siemens AG, Mercedes Benz, AXA Insurance, international banks, and universities across the EU, the USA, and Australia. He has recently completed an EU Framework Programme 7 - Security Area on the use and abuse of social media in disaster emergency (Project Slandail). A book on Social Computing and the Law (Cambridge, 2018), focussing on emergency management, has just been published. In the past by the UK Research Councils (including EPSRC, ESRC, and AHRC) and EU Information Societies Programme have funded his projects. His work on commercialisation of his research on sentiment analysis and on social computing during disasters were funded by Atlantic Bridge Venture Finds and Enterprise Ireland respectively (2018019). He 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). He has extensive international contacts and has been invited to speak at major conferences across the world. He is currently working on an information system that can find trends in the reporting and blogging about infectious disease. He 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. 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.