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Biography

Zoheir Sabeur is Associate Professor of Data Science at Bournemouth University (2019-present). He is Visiting Professor of Data Science at Colorado School of Mines, Golden, Colorado, USA (2017-present). He was Science Director at School of Electronics and Computer Science, IT Innovation Centre, University of Southampton (2009-2019). He led his big data research team in 27 large projects as Principal Investigator (PI). These were supported with research grants (totaling £7.0M) and awarded by the European Commission (under FP6, FP7 and H2020), Innovate UK, DSTL, NERC and Industries. Prior to Southampton, Zoheir worked as Director and Head of Research, Marine Information Systems at British Maritime Technology Group Limited (1996-2009), where he led his team in the development of advanced environmental nformation systems, in particular the PROTEUS system for the UK O&G Industries and UK Government. Prior to that, Zoheir held several academic appointments at Oxford Brookes University(1993-1995), University of Leeds(1991-1993), University of Strathlcyde(1990-1991), and University of Wuppertal (1987)...

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Journal Articles

  • Arbab-Zavar, B. and Sabeur, Z.A., 2020. Multi-scale crowd feature detection using vision sensing and statistical mechanics principles. Machine Vision and Applications, 31 (4).
  • Purss, M.B.J., Peterson, P.R., Strobl, P., Dow, C., Sabeur, Z.A., Gibb, R.G. and Ben, J., 2019. DataCubes: A discrete global grid systems perspective. Cartographica, 53 (4), 63-71.
  • Granell, C., Sabeur, Z. et al., 2016. Future Internet technologies for environmental applications. Environmental Modelling and Software, 78, 1-15.
  • Zlatev, Z., Veres, G. and Sabeur, Z., 2013. Agile data fusion and knowledge base architecture for critical decision support. International Journal of Decision Support System Technology, 5 (2), 1-20.
  • Middleto, S.E., Sabeur, Z.A., Löwe, P., Hammitzsch, M., Tavakoli, S. and Poslad, S., 2013. Multi-disciplinary approaches to intelligently sharing large-volumes of real-time sensor data during natural disasters. Data Science Journal, 12.
  • Havlik, D., Schade, S., Sabeur, Z.A., Mazzetti, P., Watson, K., Berre, A.J. and Mon, J.L., 2011. From sensor to observation web with environmental enablers in the future internet. Sensors, 11 (4), 3874-3907.
  • Sabeur, Z.A. and Tyler, A.O., 2004. Validation and application of the PROTEUS model for the physical dispersion, geochemistry and biological impacts of produced waters. Environmental Modelling and Software, 19 (7-8), 717-726.
  • Tyler, A.O., Sabeur, Z.A. and Hockley, M.C., 2002. Modelling the behaviour and environmental impact of cuttings piles during decommissioning. Underwater Technology, 25 (2), 39-50.
  • Sabeur, Z.A., Tyler, A.O. and Hockley, M.C., 2000. Development of particle based modelling concepts for the simulation of jet and plume-like discharges in the marine environment. Water Studies, 7, 337-345.
  • Smith, J.P., Tyler, A.O. and Sabeur, Z.A., 1998. Ecotoxicological assessment of produced waters in indonesia. Environmental Toxicology and Water Quality, 13 (4), 323-336.
  • Sabeur, Z., Barbour, I. and Davies, C., 1988. Lattice QCD at finite density. Physics Letters B: Nuclear Physics and Particle Physics, 215 (3), 567-572.

Chapters

  • Annoni, A., Bernard, L., Douglas, J., Greenwood, J., Laiz, I., Lloyd, M., Sabeur, Z., Sassen, A.-M., Serrano, J.-J. and Usländer, T., 2005. Orchestra: Developing a unified open architecture for risk management applications. Geo-information for Disaster Management. 1-17.

Conferences

  • Annoni, A., Bernard, L., Douglas, J., Greenwood, J., Laiz, I., Lloyd, M., Sabeur, Z., Sassen, A.-M., Serrano, J.-J. and Usländer, T., 2019. Orchestra: Developing a unified open architecture for risk management applications. In: Geo-information for Disaster Management. , 1-17.
  • Sabeur, Z., Zlatev, Z., Melas, P., Veres, G., Arbab-Zavar, B., Middleton, L. and Museux, N., 2017. Large scale surveillance, detection and alerts information management system for critical infrastructure. IFIP Advances in Information and Communication Technology, 507, 237-246.
  • Sabeur, Z.A., Correndo, G., Veres, G., Arbab-Zavar, B., Lorenzo, J., Habib, T., Haugommard, A., Martin, F., Zigna, J.M. and Weller, G., 2017. EO big data connectors and analytics for understanding the effects of climate change on migratory trends of marine wildlife. IFIP Advances in Information and Communication Technology, 507, 85-94.
  • Sabeur, Z.A., Melas, P., Meacham, K., Corbally, R., D’Ayala, D. and Adey, B., 2017. An integrated decision-support information system on the impact of extreme natural hazards on critical infrastructure. IFIP Advances in Information and Communication Technology, 507, 302-314.
  • Mayon, R., Sabeur, Z., Tan, M. and Djidjeli, K., 2016. Analysis of fluid flow impact oscillatory pressures with air entrapment at structures. In: Proceedings of the Coastal Engineering Conference.
  • Veres, G.V. and Sabeur, Z.A., 2015. Data analytics for drilling operational states classifications. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings, 409-414.
  • Sabeur, Z., Doulamis, N., Middleton, L., Arbab-Zavar, B., Correndo, G. and Amditis, A., 2015. Multi-modal computer vision for the detection of multi-scale crowd physical motions and behavior in confined spaces. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9474, 162-173.
  • Correndo, G., Arbab-Zavar, B., Zlatev, Z. and Sabeur, Z.A., 2015. Context ontology modelling for improving situation awareness and crowd evacuation from confined spaces. IFIP Advances in Information and Communication Technology, 448, 407-416.
  • Melas, P., Correndo, G., Middleton, L. and Sabeur, Z.A., 2015. Advanced data analytics and visualisation for the management of human perception of safety and security in urban spaces. IFIP Advances in Information and Communication Technology, 448, 445-454.
  • Veres, G.V. and Sabeur, Z.A., 2013. Automated operational states detection for drilling systems control in critical conditions. ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 53-58.
  • Bonatsos, A., Middleton, L., Melas, P. and Sabeur, Z., 2013. Crime Open Data Aggregation and Management for the Design of Safer Spaces in Urban Environments. IFIP Advances in Information and Communication Technology, 413, 311-320.
  • Sabeur, Z., Arbab-Zavar, B., Wächter, J., Hammitzsch, M., Löwe, P., Lendholdt, M., Armigliato, A., Pagnoni, G., Tinti, S. and Omira, R., 2013. Modeling and detection of hydrodynamic trends for advancing early-tsunami warnings. Proceedings of the International Offshore and Polar Engineering Conference, 40-47.
  • Löwe, P., Wächter, J., Hammitzsch, M., Lendholt, M., Häner, R., Mobgraber, J. and Sabeur, Z., 2013. The evolution of disaster Early Warning systems in the TRIDEC project. Proceedings of the International Offshore and Polar Engineering Conference, 48-52.
  • Modafferi, S., Chakravarthy, A. and Sabeur, Z., 2013. Multi-level data fusion of environmental data in future internet applications. 21st Italian Symposium on Advanced Database Systems, SEBD 2013, 297-304.
  • Usländer, T., Berre, A.J., Granell, C., Havlik, D., Lorenzo, J., Sabeur, Z. and Modafferi, S., 2013. The Future Internet Enablement of the Environment Information Space. IFIP Advances in Information and Communication Technology, 413, 109-120.
  • Middleton, S.E. and Sabeur, Z.A., 2011. Knowledge-based service architecture for multi-risk environmental decision support applications. IFIP Advances in Information and Communication Technology, 359 AICT, 101-109.
  • Mörzinger, R., Sabeur, Z., Arbab-Zavar, B. et al., 2010. Tools for semi-automatic monitoring of industrial workflows. ARTEMIS'10 - Proceedings of the 1st ACM Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams, Co-located with ACM Multimedia 2010, 81-86.
  • Sabeur, Z.A., Allsop, N.W.H., Beale, R.G. and Dennis, J.M., 1997. Wave dynamics at coastal structures: Development of a numerical model for free surface flow. In: Proceedings of the Coastal Engineering Conference. , 389-402.
  • Rymell, M.C., Sabeur, Z.A., Williams, M.O., Borwell, D.M. and Tyler, A.O., 1997. Development and application of environmental models in the assessment of exploratory drilling in a sensitive coastal region, Isle of Man, UK. In: Society of Petroleum Engineers - SPE/UKOOA European Environment Conference 1997, EEC 1997. , 257-263.
  • Rymell, M.C., Sabeur, Z.A., Williams, M.O., Borwell, D.M. and Tyler, A.O., 1997. Development and application of environmental models in the assessment of exploratory drilling in a sensitive coastal region, Isle of Man, UK. In: SPE/UKOOA European Environmental Conference, Proceedings. , 257-265.

Others

  • Correndo, G. and Sabeur, Z.A., 2015. Open data sources for the development of mobile applications and forecast of microbial contamination in bathing waters.

PhD Students

  • Andrew, 2021. Big data analytics for safer ships navigation in arctic harsh environment(s)
  • Robert, 2017. Computational Free Surface Flows and Impact on Porous Structures

Profile of Teaching PG

  • Data Science and Artificial Intelligence - MSc - Programme Leader
  • Digital Health and Artificial Intelligence - MSc - Programme Leader

Profile of Teaching UG

  • Cyber Situational Awareness - 65018_FST_COM_L6 - Unit Leader
  • Tools and Technologies for Data Science - 68392_FST_COM_L5 - Unit Leader

Invited Lectures

  • European Big Data Value Forum Seminars, Siemens Conference Center Vienna, Austria, 14 Nov 2018 more
  • Institute of Engineering and Technology Lecture, IET, Isle of Wight, 25 Jan 2018 more
  • ECS Data Science Seminar Series, University of Southampton, ECS, 13 Jul 2016 more

Grants

  • S4AllCities: Smart Spaces Safety and Security for All Cities (European Commission (H2020) - Grant Number 883522, 01 Sep 2020). Awarded
  • S4AllCities: Smart Spaces Safety and Security for All Cities (European Commission (H2020) - Grant Number 883522, 01 Sep 2020). Awarded
  • Big Medilytics - Improving healthcare in Europe through big data (European Commission, 01 Jan 2018). Completed
  • Big Medilytics - Improving healthcare in Europe through big data (European Commission, 01 Jan 2018). Completed

External Responsibilities

  • European Big Data Value Association (BDVA), Co-Chair of Ai and Data Science Task Group (2019-)
  • University of Southampton - School of Electronics and Computer Science, External PhD supervisor (2018-)
  • Colorado School of Mines, Golden, USA, Visiting Professor of Data Science (2017-)
  • DGGS - OGC International, Chair of the DGGS SW and DW groups (2017-)

Qualifications

  • Advanced Leadership Processes in Executive Management (Ashridge Business School (UK), 2011)
  • Chartered Engineer (CEng) in Computing and Informatics (UK Enginerring Research Council, 1996)
  • Chartered Physicist (CPhys) in Physics (Institute of Physics, 1996)
  • PhD in Theoretical Physics (University of Glasgow, 1990)
  • MSc in Theoretical Physics (University of Glasgow, 1986)
  • BSc First-Class Honours in Physics and Applied Mathematics (Universite d'Oran, 1984)
  • Baccalaureat (With Distinction) in Techniques Mathematiques (Lycee Technique d'Oran, 1980)

Memberships

  • British Computer Society, Fellow (2019-),
  • Institute of Marine Enginering, Science and Technology, Fellow (2017-),
  • Institue of Physics, Member (1996-),