Zoheir Sabeur

Professor Zoheir Sabeur

  • Professor of Data Science and Artificial Intelligence
  • Poole House P322, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

Zoheir Sabeur is Professor of Data Science and Artificial Intelligence at Bournemouth University (2019-present), and Head of the Processes and Behaviour Understanding (PRO_BU) Research Group.

He is also Visiting Professor of Data Science at Colorado School of Mines, Golden, Colorado, USA (2017-present). Zoheir was Science Director at the School of Electronics and Computer Science, IT Innovation Centre, University of Southampton (2009-2019). He led his Data Science Research Group over the years in more than 30 large projects as Principal Investigator (PI). The research was funded with grants totalling £8.5M, by the European Commission (H2020, FP7, FP6, FP5), Innovate UK, DSTL, NERC, EPSRC and Industries. Prior to Southampton, Zoheir worked as Director and Head of Research in Marine Informatics, at BMT Group Limited (1996-2009), At BMT, Zoheir led as PI large Joint Industries research initiatives such as MIMIC, UKOOA I, II and III which were funded by O&G industries, NERC and EPSRC (Grants totalling £3.5M)...

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Research

My long research career over the years moved towards fundamentals of Data Science and Artificial Intelligence for science discoveries. My interest is mainly on knowledge extraction for understanding human, natural (or industrial), processes and behaviour. Behaviour here, means "observables" dynamics, conditions or mechanisms that evolve in systems or sub-systems. Be it a physical system, a human system or indeed an organ to the simplest organism. The aim is to observe such systems using multi-modal observation methods which generate rich big data for further analyses and learning using AI. Some processes and behaviour may yet to be discovered. Also, our observation missions may be constrained by the Uncertainty Principle. Although known in quantum physics it is not clear to us when observing "other intelligent" systems!

My research activities are being applied in context of various domains of interest. These include: Chronic diseases understanding from omics to phenotypic levels; Intentional behaviour detection of natural intelligent systems including humans; Intelligent behaviour and responses in a changing recipient environment...and more.

Our aim here is to empower ourselves with AI fundamentals for accelerating our ways of understanding dynamic systems, with their underlying driving processes and mechanisms.

A more recent activity which we are currently conducting in our research team is the intelligent detection of severities of respiratory diseases such as COPD and Asthma. This is done through investigating patterns of lung auscultation signals...

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