Zoheir Sabeur, Phd

Zoheir Sabeur, Phd Email and Phone Number

Professor of Data Science and Artificial Intelligence @ Bournemouth University
Southampton, England, GB
Zoheir Sabeur, Phd's Location
Greater Southampton Area, United Kingdom
Zoheir Sabeur, Phd's Contact Details

Zoheir Sabeur, Phd work email

Zoheir Sabeur, Phd personal email

n/a
About Zoheir Sabeur, Phd

Development of R&D initiatives which interface academic research with industry and governments. Over the last 25 years, I have led multi-disciplinary research teams involving UK and EU Universities, the Oil and Gas industry, Environment Agencies and Developments for advancing our knowledge on extracting value from Big Data, understanding natural phenomena, data fusion, AI, machine learning, detection of behaviour and advanced situation awareness and decision support systems. My research network spans across Europe and internationally. I have a large experience in directing research programmes and developing new programmes in Data Science and Artificial Intelligence.Currently, I am leading several large research projects as Principal Investigator with my research group (PRO_BU) and also supervise postgraduate students (PhD, MSc, including Erasmus students) as well as students placements in industry. My research projects concern the intelligent processing of Big data for extraction of knowledge and understanding critical situations, such as human and natural processes behaviour, natural hazards and industrial operations. I use all modes of sensor observations, computer vision and first principle phenomenology for understanding or the discovery of new emerging patterns or indeed of unknown processes. I have published more that 150 publications in scientific journals and conference proceedings. I sit in several computer science international conferences scientific committee and also co-chair the international symposium of environmental software systems. I also co-chair the OGC discrete global grid system specification and domain working groups internationally. I was also member of the board of directors at the European Big Data Value Association, but still as member and co-chair of the AI and Data Science TaskForce at the BDVA. At Bournemouth University, I lead the programme for the MSc Data Science and Artificial Intelligence and also the MSc Digital Health and Artificial Intelligence. PhD students and Post-doctoral fellows with research themes and proposals are welcome for discussions. Keywords: PhD students supervision, Information Systems, BDVA, NSF, Artificial Intelligence, Big Data, Data Science, Data Fusion, Numerical Modelling, Behaviour Understanding, Machine Intelligence

Zoheir Sabeur, Phd's Current Company Details
Bournemouth University

Bournemouth University

View
Professor of Data Science and Artificial Intelligence
Southampton, England, GB
Zoheir Sabeur, Phd Work Experience Details
  • Bournemouth University
    Professor Of Data Science And Artificial Intelligence
    Bournemouth University
    Southampton, England, Gb
  • Bournemouth University
    Professor Of Data Science And Artificial Intelligence
    Bournemouth University Sep 2021 - Present
    Bournemouth
    At Bournemouth University, I teach cyber situational awareness for final year Undergraduates and Artificial Intelligence for Master students in Data Science and AI as well as those in Digital Health and AI. I also lead my research group, called PRO_BU which stands for Processes and Behaviour Understanding (https://www.bournemouth.ac.uk/research/centres-institutes/computing-informatics-research-centre-circ/processes-behaviour-understanding-probu)Our research advances on using AI for understanding how to detect and diagnose severities of respiratory diseases, such as COPD, ASTHMA and Bronchitis, and COVID using fundamental features found in combined respiratory sensing observatory signals. We are also investigating on the Waldenstrom Macroglobulinemia disease as among the rarest blood cancer types of white cells through gene expressions anomalies detection. We will also be starting in 2024 on investigating Infective endocarditis (IE) conditions. These have adverse effects on heart functions. Understanding anomalies in gene expressions as well as those features of phenotypic natures are all put under our research investigations.In addition to health, we maintain also our lead on using AI for understanding human induced cyber and physical behaviour in smart city spaces. More recently we completed a large multi-million pounds project (see https://www.s4allcities.eu/) with 27 European research and industrial partners, where we tested and validated our deployed AI digital twin technologies following research work done on crowd behaviour understanding combined with illicit cyber transactional event in smart spaces in three major Europen cities. Last but not least, our ongoing research using AI and Behaviour Understanding involves the intelligent detection of behaviour of natural species due to climate change. This has already been applied to marine species including seabirds, fish and sea turtles in the Atlantic + Mediterranean regions.
  • Bournemouth University
    Associate Professor Of Data Science
    Bournemouth University Apr 2019 - Aug 2021
    Bournemouth
    As I joined Bournemouth University on April 2019, I was in a mission to upskill certain educational units where I revamped the Cyber Situational Awareness (CSA) for Level 6 (Final Year) undergraduate students by introducing new approaches based on observation data and the JDL framework for the advancement of CSA. I also joined the University Academic Standards and Education Committee for furthering our FUSION programme on research, education and practice. Currently our NSS has improved greatly, while our ranking under REF and TEF is really progressing well. In the meantime, I got funded for starting the Multi-Million pounds (£12.5M) S4Allcities large project for the development of digital twins in smart cities context. Furthermore, four research assistants and three postdoctoral research fellowships were funded. This led in the development of my research group in 2021. We have also established our academic research seminars which have been running successfully since 2020. Several eminent scholars from national and international Universities provided us with a breath of excellent seminars for our researcher in our faculty of Science and Technology as well as the Faculty of Health and Social Sciences. the 2023-24 research seminar series will be launched in October 2023.
  • The Institute Of Marine Engineering, Science And Technology (Imarest)
    Fellow Of The Institute Of Marine Engineering, Science And Technology (Imarest)
    The Institute Of Marine Engineering, Science And Technology (Imarest) Sep 2017 - Present
  • Bcs, The Chartered Institute For It
    Fellow Of The British Computer Society (Fbcs)
    Bcs, The Chartered Institute For It May 2019 - Present
  • Colorado School Of Mines
    Visiting Professor Of Data Science
    Colorado School Of Mines Nov 2017 - Sep 2021
    Golden, Colorado (Usa)
    Transatlantic Collaboration in data science research and development, with the Department of Mining at the Colorado School of Mines. The focus is on the deployment of AI, Intelligent systems and Robotics for advancing Earth resources exploration and engineering. Other activities include the development of postgraduate courses and programmes on data science for earth resources engineering.
  • University Of Southampton
    Science Director
    University Of Southampton Dec 2014 - Mar 2019
    Southampton
    Science Director at University of Southampton IT Innovation Centre. I led the establishment on the delivery of our Science Strategy. I implemented my high expertise in Big Data research, data fusion and modelling, information and decision-support systems development for security, health, transport and environmental domains. I investigated on human behaviour detection using smart sensing including multi-spectral vision combined with concepts of statistical mechanics. Part of my research work also covered Computational Fluid Dynamics, particularly on the investigation of free surface flows at porous walls with my PhD student, Dr Robert Mayo, who graduated in 2017. Now Robert works now at Dalian University, China. My rich research activities over my 10 years tenure at the University of Southampton have been sponsored by European FP5, 6, 7 programmes and H2020, Innovation UK (ex-TSB, ex DTI), NERC, EPSRC, DSTL and the Oil and Gas Industries. I secured to the University of Southampton, School of Electronics and Computer Science £7.0M worth of funded grants, as Principal Investigator, in Data science and AI, while working closely with my research team of 8 talented postdoctoral research staff. Without whom this success could not have happened without them! I have published more than 120 papers in refereed journals and proceedings. I also got involved as member of the long running ISESS (International Symposium on Environmental Software Systems) scientific committee into shaping the conference towards AI and Data science programmes for the next programmes to come, such as ISESS 2020. I was also member of the Editing Board of the Journal of Ocean Technology. I also Chair of OGC DGGS SW and DW Groups. I am also peer reviewer in several IEEE, ACM, EMS journals and conferences in enviro-informatics, computer sciences and engineering.
  • University Of Southampton Marine And Maritime Institute
    Climate And Environment Research Coordinator
    University Of Southampton Marine And Maritime Institute Jul 2012 - Mar 2019
    Southampton
    In addition to my current position at IT Innovation Centre, I am a member of the Steering Committee of the newly founded University of Southampton Marine and Maritime Institute(SMMI). I lead the Climate and Environment research theme at SMMI and look forward to creating cross-Faculty research initiatives with national and international partners. Under SMMI, I am currently investigating on free surface flow in complex porous media with my PhD student and also collaborating across faculties on other topics such as the forecast of water quality in bathing zones using crowd sensing and open observation data. Also, I am currently investigating on another research topics concerning the intelligent extraction of knowledge, using advanced machine learning techniques, from wire-line logging and geological science core BIG data. This is of importance in advancing marine resources mining and explorations.
  • University Of Southampton, It Innovation Centre
    Senior Manager
    University Of Southampton, It Innovation Centre Feb 2009 - Nov 2014
    Southampton, United Kingdom
    Member of the Senior Management Team. Long expertise in environmental information systems development, Computational Fluid Dynamics, big data, machine learning, sensing and artificial intelligence. My research has been sponsored over the years from H2020, European FP5, 6, 7, Innovation UK (ex-TSB), NERC, EPSRC, DSTL and the Oil and Gas Industries. I developed and well established with my research team highly advanced solutions on data fusion, machine learning techniques and decision-support systems which are used in industries in the energy and environment sectors, health sectors, Government Departments and Agencies. Expertise in oil spills, data fusion and modelling, open web-servicing, free surface flow modelling and decision support systems, EU commission programmes and large national and international network of partners and co-developers of R&D intitiative. Chair of international environmental monitoring pannel of experts at ECOR. Member of the editing board and peer reviewer in the journal of ocean technology. Peer reviewer in other research journals, such as the Journal of Environmental Modelling and Software, Environmental Risk Management, Journal of Engineering for Maritime Environment and others. With a team of researchers and postgraduate students (PhD plus Masters), I cover a broad range of strategic research topics which include the automated detection of human behaviour using vision and other sensing, the extraction of value from big data, advanced data fusion techniques under the JDL approach and also free surface flow simulation in porous media with complex structure.
  • Bmt
    Associate Director, Head Of R&D
    Bmt Dec 1995 - Feb 2009
    Southampton, United Kingdom
    Several advanced environmental information systems were developed for the Oil and Gas Industry, Government Agencies Nationally and Internationally. As Head of R&D, we researched on modelling the fate of industrial drilling muds and cuttings in the marine environment. This is of great importance for determining the risks and impact of industrial drilling discharges in the marine environment. Additionally we researched on the fate of production waters in the marine environment. These have been developed under the PROTEUS system which was holistically based on particle representation of drilling muds, cuttings and production waters. Other research activities included the simulation of acoustic noises and understanding their impact on marine species including sea mammals. This led us to develop the ISAAC system for the Oil and Gas industries and the DTI at the time. The time spent at BMT with my research team was great fun particularly for the amount of breakthroughs achieved in establishing new numerical models for the generation of advanced information systems for the industries. Another major research programme was achieved in the study of the short term and long term fate of seabed sedimentary systems such as cutting piles in the North Sea. I developed new approaches based on diagenetic principles for describing the fate (physical, chemical and biological) of seabed cutting piles in the marine environment. This was extremely important to assess their environmental impact during platform decommissioning programmes and achieve concrete decisions by the industries involved. The research work at BMT over the years was in collaboration with the Universities of Edinburgh, Cambridge, Plymouth, Aberdeen and Heriot-Watt. Also, the National Oceanography Centre, Plymouth Marine Laboratory, Dunstaffnage Marine Laboratory (SAMS) were part in our research collaboration.
  • Oxford Brookes University
    Snr Research Fellow
    Oxford Brookes University Sep 1993 - Dec 1995
    Oxford, United Kingdom
    - Research on the first stable free surface flow model with the development of the NEWMOTICS2D code for the first time. The code which I postulated and wrote could simulate transient waves at solid walls before, at and after impact with great stability. This enabled investigations on the oscillatory nature of impact pressures at solid walls. Experimentation were successfully achieved on dam-break simulation and impact at solid walls. The code was also successfully tested at Edinburgh Parallel Computing Centre using the CM200 machine. At later years the code was tested for convergence and investigation on pressure impulses using Cray XMP Machine at the University of Groningen in collaboration with Professor A. Veldman.
  • University Of Leeds
    Serc Research Fellow, Physical Chemistry
    University Of Leeds Sep 1991 - Sep 1993
    Leeds, United Kingdom
    Investigated the nature of molecular fluid components at high density solid sphere-walls. The implementation of a finite element model for understanding the molecular fluid structures at high density was achieved. This work was in collaboration with Dr Jim Henderson.
  • University Of Strathclyde
    Research Fellow, Molecular Physics
    University Of Strathclyde Sep 1990 - Sep 1991
    Glasgow, United Kingdom
    Investigated tri-atomic molecular systems and the Renner-Teller Effect. Deployed a finite element techniques for solving the Schrodinger equations. This work was in collaboration with Professor G. Duxubury, Head of School. The experience gained at Strathclyde was essential as it led me on continuing the work in molecular physics at the University of Leeds in later years.
  • Bergische Universität Wuppertal
    Research Scientist
    Bergische Universität Wuppertal Jan 1987 - Oct 1987
    Wuppertal Area, Germany
    Researched on implementing multi-dimensional fermion loops for the calculation of the Fermion Determinant in Lattice Chromodynamics (QCD). Intensive computing was required for such calculation at the time. This research in collaboration with Professor Karl Heinz Mutter, Head of School, was strategic to trigger my PhD studies when I returned back to the University of Glasgow.

Zoheir Sabeur, Phd Skills

Project Management Research R&d Project Planning Proposal Writing Program Management Science Management Simulations Business Strategy Environmental Awareness Statistics Data Analysis Engineering Strategy Physics Analysis International Relations Artificial Intelligence Research And Development Data Fusion Environmental Impact Assessment Modeling Sustainability French Government Project Coordination Data Models Energy

Zoheir Sabeur, Phd Education Details

Frequently Asked Questions about Zoheir Sabeur, Phd

What company does Zoheir Sabeur, Phd work for?

Zoheir Sabeur, Phd works for Bournemouth University

What is Zoheir Sabeur, Phd's role at the current company?

Zoheir Sabeur, Phd's current role is Professor of Data Science and Artificial Intelligence.

What is Zoheir Sabeur, Phd's email address?

Zoheir Sabeur, Phd's email address is zs****@****pex.com

What schools did Zoheir Sabeur, Phd attend?

Zoheir Sabeur, Phd attended University Of Glasgow.

What are some of Zoheir Sabeur, Phd's interests?

Zoheir Sabeur, Phd has interest in Big Data Research, Numerical Modelling, Economic Empowerment, Environment, Machine Learning, Education, Science And Technology, Data Fusion, Climate And Environment Issues, Free Surface Flows.

What skills is Zoheir Sabeur, Phd known for?

Zoheir Sabeur, Phd has skills like Project Management, Research, R&d, Project Planning, Proposal Writing, Program Management, Science, Management, Simulations, Business Strategy, Environmental Awareness, Statistics.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.