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Dr Stefano Cipolla

Lecturer in Operational Research

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Dr Stefano Modafferi

Principal Enterprise Fellow

Research interests

  • Risk modelling
  • Data-driven business models
  • Enterprise Architectures

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Professor Stefano Moretti PhD, FilDrHC

Professor

Research interests

  • 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 500 scientific papers/articles that he has published. (Please ignore the metrics provided by PlumX or else on 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. 

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Dr Steffen Bayer

Lecturer in Business Analytics

Research interests

  • Simulation Modelling
  • Health Systems Research
  • Health Planning

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Professor Steffen Staab Dr. rer. nat.

Professor in Web and Computer Science

Research interests

  • 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.
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Dr Stephan Onggo PhD, SFHEA

Professor of Business Analytics

Research interests

  • Simulation Modelling Methodology
  • Behavioural Modelling using Simulation
  • Simulation for real-time decision making (digital twin)

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Dr Stephanie Barker

Teaching Fellow

Research interests

  • Homelessness
  • Peer Support
  • Peer Mentoring
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Dr Stephanie Blankshein PhD

Research Fellow

Research interests

  • Maritime archaeology
  • Landscape archaeology
  • Prehistory

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Dr Stephanie Easton PhD

Senior Research Assistant
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