The aim of my work is to understand how we hear sound and to use this knowledge to create bio-inspired solutions to enhance speech communication.
I have continuously worked on various aspects of hearing research and technology and have been principal investigator on various research grants (EU, EPSRCS, etc) with a value of more than £2M. I am team leader with an internationally recognised research programme to develop devices that help normal hearing and hearing-impaired people to communicate better in noise. Methodologies include brainstem physiology, neuronal simulations, deep learing, psychophysics, pupil tracking and other physiological measurements.
His research interests include: Standard Model (QCD and EW Interactions), Supersymmetry, Non-minimal Higgs Models, Higher Order Corrections and Monte Carlo Event Generators.
Prof Moretti’s scientific activity is in particle phenomenology, particularly in the area of collider physics. His contribution to particle physics is substantial as seen from more than 550 scientific papers/articles that he has published. (Please ignore the metrics provided by other databases these pages as they are completely wrong for my field of specialisation, always refer to iNSPIRE ones.)
Prof Moretti is also author of two textbooks, S. Khalil and S. Moretti, `Supersymmetry Beyond Minimality: from Theory to Experiment' and 'SM Phenomenology', both with CRC Press, Taylor & Francis Group. (Plus two more are in the pipeline.)
Data represent the world on our computers. While the world is very intriguing, data may be quite boring, if one does not know what they mean. I am interested in making data more meaningful to find interesting insights in the world outside.
How does meaning arise?
One can model data and information. Conceptual models and ontologies are the foundations for knowledge networks that enable the computer to treat data in a meaningful way.Using machine learning, text and data mining as well as information extraction one may find meaningful patterns in data as well as connections between data and its use in context. Humans communicate information. In order to understand what data and information means, one has to understand social interactions and interactions with computers.Eventually meaning is nothing that exists in the void. Data and information must be communicated to people who may use insights into data and information. Interaction between humans and computers must happen in a way that matches the meaning of data and information.
The World Wide Web is the largest information construct made by mankind to convey meaningful data. Web Science is the discipline that considers how networks of people and knowledge in the Web arise, how humans deal with it and which consequences this has for all of us. The Web is a meaning machine that I want do understand by my research.
