Sabeur Elkosantini
AI Expert · Consultant · Associate Professor
Applied AI, from research to deployment: advancing the science, teaching the practice, and putting it to work in organizations.
Research — Teaching — Strategy — Deployment
15+years of experience in AI, data & higher education
100+peer-reviewed articles in international journals & conferences
Research & speakingPeer-reviewed research and international engagements
InternationalTeaching, research and advisory across Tunisia, France, Morocco, Saudi Arabia and South Korea
Profile
I am an Associate Professor of Computer Science, Senior AI Consultant and Executive Trainer, with over 15 years of experience at the intersection of applied R&D, corporate strategy and high-impact training. I hold a Ph.D. in Computer Science (Université Blaise Pascal, France) and an HDR, Habilitation to Supervise Research (Université Lyon 2, France).
I specialize in data and AI transformation and support startups and companies from strategic roadmap to operational execution: AI governance, business process automation (GenAI, n8n) and enterprise AI industrialization (LLMOps/MLOps). I also supervise and lead research projects, which keeps my advice grounded in current science.
Consulting & Training
Two distinct offers, the expertise behind them, then the evidence.
AI advisory & consulting
- AI strategy and transformation roadmap
- AI use-case identification, scoping and ROI evaluation
- Generative AI and LLM architecture
- LLMOps and RAG engineering
- Responsible AI and EU AI Act readiness
- Data master plans and data quality for AI
Executive & professional training
- Masterclasses for executives and managers
- Technical upskilling for engineers and data teams
- Generative AI for business functions: sales, marketing, support and project management
- Generative AI, n8n automation, LLMOps, data quality for AI and HR
- Programs for corporate clients in France and Africa
Expertise
Portfolio
Teaching
University courses taught since 2004 in France, Tunisia and Saudi Arabia, in English, French and Arabic, from object-oriented programming to artificial intelligence.
Courses taught
I developed the slides for every course below.
Graduate courses
Distributed systemsResearch Master in Business Computing · Faculty of Economics and Management of Nabeul · since 2020–2021
Algorithms design and analysisResearch Master in Business Computing · Faculty of Economics and Management of Nabeul · since 2020–2021
Intelligent methods and applicationsResearch Master in Business Computing · Faculty of Economics and Management of Nabeul · since 2020–2021
Machine learningProfessional Master in Digital Entrepreneurship in Data Science · Higher Institute of Technological Studies of Nabeul (ISET) · 2020–2021 and 2021–2022
Undergraduate and engineering courses
Microservice architecture (Spring)Engineer diploma in computer science · ITBS Nabeul · since 2023–2024
Monolithic architecture (JEE / Spring Boot)Bachelor in Business Information Systems · Faculty of Economics and Management of Nabeul · since 2023–2024
JEE architectureEngineer diploma in computer science · ITBS Nabeul · since 2023–2024
Object-oriented programming 1 and 2Engineer diploma in computer science · ITBS Nabeul · 2020–2025
Earlier in careerWeb programming with Java · Industrial information systems · Simulation of industrial systems · Introduction to artificial intelligence · Web programming with PHP · Advanced object-oriented programming
Where
2018 – todayUniversity of Carthage, Faculty of Economics and Management of Nabeul: research Master and Bachelor courses. Also teaches at ITBS Nabeul (engineer diploma) and at ISET Nabeul (professional Master).
2014 – 2018King Saud University, College of Engineering, Riyadh (Industrial Engineering department).
2008 – 2014ISIMa, Higher Institute of Computer Science, Mahdia.
2007 – 2008IFMA, French Institute for Advanced Mechanical Engineering, Clermont-Ferrand.
2004 – 2007University of Lyon 2, teaching and research assistant; scientific council of the GOMFi department, Institute of Technology (2006–2007).
Educational leadership
CarthageCoordinator of the Research Master in Business Computing and of the Innotech digital transformation and innovation center.
2014 – 2018King Saud University: member of the ABET and NCAAA accreditation committee and of the quality committee; coordinator of the Statistics and IT committee; member of the training, alumni and employment committee.
2009 – 2014ISIMa: academic dean (2011–2014), e-learning coordinator (2009–2013), coordinator of the education quality committee (2011–2014) and of the recruitment commission (2009–2013); member of the scientific council; coordinator of the computer science department (2009–2011) and of the student transfer committee (2013–2014).
ExaminerMember of many masters and PhD thesis defense jurys 2009–2013.
Professional programs for companies (generative AI, n8n automation, LLMOps, data quality) are described on the Consulting page.
Research themes
Core methodsAI for intelligent and reactive decision making. Multi-agent systems, immune-inspired and case-based reasoning, deep and reinforcement learning, neuro-fuzzy and explainable AI, built for dynamic and uncertain environments where decisions must adapt as events unfold.
E-healthHome health care planning and scheduling under unexpected events; patient admission and bed assignment in hospital networks (case-based reasoning, multi-agent systems, mixed-integer programming). Project SOIN.
Industry 4.0Skills and training gaps between industry and engineering education in Tunisia and Morocco (ENHANCE project); production scheduling and assignment of multi-skilled workers in manufacturing systems.
Cloud–fog–edgeDynamic task allocation in cloud, fog and edge systems. TORCH project: hypergraph reasoning for task allocation; hybrid rule-based and case-based reasoning.
Intelligent transportationMultimodal data fusion and traffic flow prediction (Data4Transport, with South Korea); immune-inspired and multi-agent control of signalized intersections and public transport disturbances; container stacking in seaport terminals.
Funded projects
2022–2025Data4Transport, Principal Investigator, supervising one PhD and two Master's students. Tunisia–South Korea joint project on big data for urban intersection traffic, funded by both countries' higher education and research ministries (180,000 TND + 150 M KRW).
2021–2024ENHANCE (ERASMUS+ CBHE), technical and national coordinator. Skills and training for the Tunisian and Moroccan transition to Industry 4.0 (€779,000).
2021–2023SOIN, member. New approaches for efficient home care management; young researcher project funded by the Tunisian Ministry of Higher Education and Scientific Research.
2016–2018AI-SOS, Principal Investigator. Artificial intelligence for self-organization systems, King Saud University (SAR 150,000).
2014–2016Artificial immune system to control traffic signals and regulate flow in emergencies, Co-Investigator, NPSTI / KACST, Saudi Arabia (SAR 1.5 million).
2014–2016Multicriteria optimization to reduce environmental impacts in outsourcing companies, member, funded by CNRS, France.
2013–2016New methods for worker assignment in manufacturing systems, member, Tunisian-French cooperation project.
Doctoral thesis supervision
In progressRihab Chaouch (since 2021). A decision-making approach for unscheduled patient-to-bed assignment in a hospital network.
2025Houyem Ben Hassen. Towards efficient home health care scheduling: offline and online models.
2025Salah Godhbani. A deep learning approach for multimodal data fusion in traffic flow management in a big data context.
2019Salima Mnif. Artificial immune system for the control of public transportation systems.
2018Ali Louati. Artificial immune system to control traffic signals and regulate flow in emergencies.
2017Ines Rekik. Multi-agent system for container storage in seaports.
2015Achraf Ammar. Dynamic assignment of multi-skilled operators and team sizing in production systems.
Master's thesis supervision
- 2025 · Hadil Ben Romdhane: a deep learning model for multimodal data fusion, application to transportation systems
- 2025 · Abir Hazmi: a hybrid approach for task allocation in dynamic computing environments, integrating rule-based and case-based reasoning
- 2025 · Mousseambe Hassane: hypergraph-based model for spatio-temporal traffic prediction in a multimodal transportation system
- 2024 · Yasmine Bssaissa: short- and long-term multimodal traffic flow prediction with machine learning
- 2022 · Sonia Habib: a new automated resume parsing framework
- 2022 · Moez KhedimAllah: design and development of a benchmark system for online public transport control
- 2022 · Chaima Slimene: reinforcement learning for the container stacking problem
- 2021 · Khaoula Zardoum: toward a knowledge-based system for resume classification
- 2021 · Rania Ben Brahim: a deep learning approach for disturbance propagation in urban transportation systems
- 2014 · Sarra Galoui: ontology-based evaluation of public transport systems
- 2013 · Dorra Moalla: traffic control at intersections with artificial immune systems
- 2012 · Hamadi Kchaou: multi-agent system for dynamic vehicle routing
- 2011 · Achraf Ammar: multi-skilled worker assignment by simulation-optimization
- 2011 · Nesrine Gheriani: agent-based assignment and reassignment of multi-skilled operators
- 2011 · Arij Trabelsi: artificial immune system for public transport regulation
- 2010 · Boutheina Trabelsi: artificial immune network for traffic control at a single intersection
- 2010 · Salima Mnif: traffic regulation at signalized intersections
Publications
100+ peer-reviewed articles in international journals and conferences. The lists below gather journal articles and refereed conference papers, 2006–2025.
The complete publication list is on Google Scholar and ORCID.
Refereed journals
2025Song K.-H., Lee H.-j., Suh W., Elkosantini S., Lee S.M. Link-based methodology for industrial structure analysis: a case study of the Korean transportation logistics industry. Applied Sciences, 15, 7685, 2025
2024Lee C.-R., Kim S.-H., Song K.-H., Elkosantini S., Lee S.M., Suh W. Traffic operational analysis from sensor application of electric autonomous vehicles and internal combustion engine autonomous vehicles, focusing on differences in acceleration profile. Sensors and Materials, 2024
Song K.H., Kim K.H., Choi S., Elkosantini S., Lee S.M., Suh W. Comprehensive safety index for road safety management system. Sustainability, 2024
2023Kim D., Kwon D., Han J., Lee S.M., Elkosantini S., Suh W. Data-driven model for identifying factors influencing electric vehicle charging demand: a comparative analysis of early- and maturity-phases of electric vehicle programs in Korea. Applied Sciences, 13, 3760, 2023
Song K.H., Choi S., Elkosantini S., Suh W. Determining factors influencing short-term international aviation traffic demand using SHAP analysis: before COVID-19 and now. Sustainability, 15, 14924, 2023
Jang S., Song K.-H., Kim D., Ko J., Lee S.M., Elkosantini S., Suh W. Road section-based analysis of vehicle emission and energy consumption. Sustainability, 2023
Elkosantini S., Hajri-Gabouj S., Darmoul S., Kacem R.B.H., Ammar A., Elouadi A., Ghrairi Z., Moalla N., Bentaha M.L., Sarraipa J. Industrial needs v. engineering education curricula related to maintenance, production and quality in industry 4.0: a gap analysis case study in Tunisia and Morocco. Industry and Higher Education, 2023
2022Rekik I., Elkosantini S. A survey on container stacking problems based on a conceptual classification scheme: limitations and future trends. Asian Journal of Management Science and Applications, 2022
Earlier journal articles (2006–2019)
2019Rekik I., Elkosantini S., A multi-agent system for the online container stacking in seaport terminals, Journal of computational science, Volume 35, Pages 12-24, 2019
Mabkhot M, Kouki Amri S., Darmoul S., Alsamhan A., Elkosantini S., An ontology-based multi-criteria decision support system to reconfigure manufacturing systems, IISE Transactions, 2019
2018Mnif S., Elkosantini S., Darmoul S., Ben Said L., An immune network-based distributed architecture to control public transportation systems, Swarm and Evolutionary Computation, 2018
Rekik I., Elkosantini S., H. Chabchoub, A case-based heuristic for container stacking in seaport terminals, Advanced Engineering Informatics, 38, pp. 658-669, 2018
Mnif, S., Darmoul, S., Elkosantini, S., Ben Said, L. An Immune Multi-Agent System to Monitor and Control Public Bus Transportation Systems, Computational Intelligence, Volume 34, Issue 4, Pages 1245-1276, 2018
Louati, A., Elkosantini, S., Darmoul, S., Ben Said, L. Multi-agent preemptive Longest Queue First System to manage the crossing of emergency vehicles at interrupted intersections, European Transport Research Review, vol 10, issue (2), 2018
Hidri H., S. Elkosantini, M. Mabkhout, Exact and heuristic procedures for the two-center hybrid flow shop scheduling problem with transportation times, IEEE Access, 2018, pp. 21788 - 21801
Louati, A., Darmoul, S., Elkosantini, S., Ben Said, L. An artificial immune network to control Interrupted Flow at Signalized Intersections, Information Sciences 433-434, pp. 70-95, 2018
Elkosantini S., Darmoul S., A new framework for the computer modelling and simulation of car driver behavior, SIMULATION: Transactions of The Society for Modeling and Simulation International, Vol 94, Issue 12, pp. 1081-1097, 2018
2017Louati, A., Elkosantini, S., Darmoul, S., Ben Said, L. An Immune Memory Inspired Case-Based Reasoning System to Control Interrupted Flow at Signalized Intersections, Artificial Intelligence Review, 2017
Darmoul, S., Elkosantini, S., Louati, A., Ben Said, L., Multi-agent immune networks to control interrupted flow at signalized intersections, Transportation Research Part C: Emerging Technologies, Volume 82, September 2017, Pages 290-313
Ferjani A., H. Pierreval, A. Ammar, S. Elkosantini, A simulation-Optimization Based Heuristic to Assign Online Workers Affected by Fatigue in Manufacturing Systems, Computers & Industrial Engineering, Volume 112, October 2017, Pages 663-674
2016Ben Ayed M., S. Elkosantini, An accelerated architecture based on GPU and Multi-Processor design for fingerprint recognition, International Journal of Advanced Computer Science and Applications, Volume 7 Issue 3, 2016
Gheriani N., S. Elkosantini, S. Darmoul, L. Ben Said, Assessment of public transport control systems: a comparative analysis of platforms and a new platform architecture, International Journal of Shipping and Transport Logistics, Vol. 8, No. 5, 2016, pp. 509-530
2015Elkosantini S., Toward a new generic behavior model for human-centered system simulation, Simulation Modelling Practice and Theory, volume 52, pp. 108-122, 2015
Elkosantini S. and A. Frikha, Decision fusion for signalized intersection control, Kybernetes, volume 44, issue 1, 2015, pp. 57 - 76
2014Darmoul S. and S. Elkosantini, Artificial Immunity to Control Disturbances in Public Transportation Systems: Concepts, Mechanisms and a Prototype Implementation of a Knowledge-Based Decision Support System, Knowledge-Based Systems, volume (58), pp. 58-76, 2014
2012Elkosantini S., Mnif S., H. Chabchoub, An Adaptive System for Signposted INtersection Control: ASSINC, Journal of Artificial Intelligence and Soft Computing Research, Vol 2, No. 1, 2012, pp. 21-29
2009Elkosantini S., D. Gien. Integration of human behavioral aspects in a dynamic model for a manufacturing system. International Journal of Production Research 47:10, pp. 2601-2623, 2009
Refereed conferences
2025Chaouch R., Tounsi J., Nouaouri I., Elkosantini S. Multi-agent system-based decentralized approach for patient admission within hospital clusters. International Conference on Intelligence in Business and Industry, 2025
2024Chaouch R., Tounsi J., Nouaouri I., Elkosantini S. Mixed integer programming for patient admission scheduling in hospital network. IFAC-PapersOnLine, 58(19), 2024
Godhbani S., Elkosantini S., Lee S.M., Suh W. A new multimodal and spatio-temporal dataset for traffic control: development, analysis, and potential applications. IEEE IC_ASET, Hammamet, Tunisia, 2024
Godhbani S., Elkosantini S., Lee S.M., Suh W. A spatial-temporal DL approach for traffic flow prediction using attention fusion method. IEEE IC_ASET, Hammamet, Tunisia, 2024
2023Kochkach A., Kacem B.L., Elkosantini S., Lee S.M., Suh W. On the different concepts and taxonomies of eXplainable artificial intelligence. International Conference on Intelligent Systems and Pattern Recognition, Tunisia, 2023
2022Ghodhbani S., Elkosantini S., Suh W., Lee M. Transfer learning based architecture for urban transportation big data fusion. International Conference on Management of Digital EcoSystems, pp. 80-83, 2022
Ben Ammou M., Elkosantini S., Darmoul S. Multidimensional disturbance propagation model for a network of bus lines. SKIMA, pp. 120-125, 2022
Godhbani S., Elkosantini S., Suh W., Lee S.M. A DL based framework for multimodal data fusion in traffic jam prediction. SKIMA, Cambodia, pp. 126-132, 2022
Ben Hassen H., Tounsi J., Ben Bachouch R., Elkosantini S. Case-based reasoning for home health care planning considering unexpected events. 10th IFAC Conference on Manufacturing Modelling, Management and Control, France, 2022
2017Mnif S., Darmoul S., Elkosantini S., Ben Said L., Integration of immune features into a Belief-Desire-Intention model for multi-agent control of public transportation systems, 12th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2017), Spain, 2017
Rekik I., Elkosantini S., Chabchoub H., Integration of case-based reasoning in multi-agent system for the real-time container stacking in seaport terminals, 12th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2017), Spain, 2017
Rekik I., Elkosantini S., Chabchoub H., A case-based reasoning based multi-agent system for the reactive container stacking in seaport terminals, The International Conference on Computational Science, Switzerland, 2017
2016A. Ferjani, H. Pierreval, A. Ammar, Elkosantini S., Taking Into Account Workers' Fatigue in Production Tasks: a Combined Simulation Framework, The 9th Eurosim Congress on Modelling and Simulation, Finland, 2016
Al-Qasser, F., Louati, L., Gien, D., Elkosantini S., Fuzzy Nonlinear Optimization multi objectives Job shop Energy Consumption, The 6th International Conference on Sustainable Energy Information Technology, Madrid, Spain, 2016
Rekik I., Elkosantini S., Chabchoub H., Toward a knowledge-based multi-agent architecture for the reactive Container Stacking in Seaport terminals: Application to the port of Sfax in Tunisia, the 15th International Conference on Artificial Intelligence and Soft Computing, Poland, 2016
Mnif S., Elkosantini S., Darmoul S., Ben Said L., An Immune Memory and Negative Selection based Decision Support System for the Monitoring and Control of Public Transportation Systems, 4th IFAC International Conference on Intelligent Control and Automation Sciences (ICONS 2016), France, 2016
A. Louati, Elkosantini S., Darmoul S., Ben Said L., A Case-Based Reasoning System to Control Traffic at Signalized Intersections, 4th IFAC International Conference on Intelligent Control and Automation Sciences (ICONS 2016), France, 2016
Mnif S., Elkosantini S., Darmoul S., Ben Said L., An immune Multi-Agent-Based Decision Support System for the Control of Public Transportation Systems, 14th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2016), Spain, 2016
Al-Qasser, F., Louati, L., Gien D., Elkosantini S., Nonlinear Programming CPLEX/ILOG Optimisation Job shop Energy Consumption, 3rd International Conference on Automation, Control Engineering & Computer Science, Hammamet, Tunisia, 2016
2015Ammar, A., Pierreval, H., Elkosantini S, A multiobjective simulation-optimization approach to define teams of workers in stochastic production systems, International Conference on Industrial engineering and systems management, Spain, 2015
Rekik I., Elkosantini S., Chabchoub H., Container stacking problem: a survey, The 45th International Conference on Computers & Industrial Engineering CIE45, France 2015
Mnif S., S. Galoui, Elkosantini S., Darmoul S., Ben Said L., Ontology-based performance evaluation of public transport systems, IEEE International Conference on Advanced Logistics and Transport (ICALT'2015), France, 2015
Gheriani N., Elkosantini S., Darmoul S., Ben Said L., An Ontology-Based Benchmarking Platform for the Assessment of Public Transportation Control Systems, IFAC Symposium on Information Control in Manufacturing (INCOM 2015), Canada, 2015
Rekik I., Elkosantini S., Chabchoub H., Real-Time Stacking System for dangerous containers in seaport terminals, IFAC Symposium on Information Control in Manufacturing (INCOM 2015), Canada, 2015
2014Ammar, A., Pierreval, H., Elkosantini, S., Une Approche d'Affectation Dynamique des Opérateurs dans un Contexte de Demande Stochastique et Changeante, Basée Sur TOPSIS et l'Optimisation Via Simulation, proc. 10ème Conférence Francophone de Modélisation, Optimisation et Simulation, MOSIM 14, 5 au 7 novembre 2014 - Nancy -France, (In French)
Gheriani N., Elkosantini S., Darmoul S., Ben Said L., A survey of simulation platforms for the assessment of public transport control systems, IEEE International Conference on Advanced Logistics and Transport (ICALT'2014), Hammamet, Tunisia
2013Ammar A., Elkosantini S., Pierreval H., Serious Game Based on Visual Interactive Simulation for Dynamic Workers Assignment, 8th Congress on Modelling and Simulation (EUROSIM 2013), 2013, Cardiff, Wales
Ammar, A., Pierreval H., Elkosantini, S., Worker Assignment Problems in Manufacturing Systems: a Literature Analysis, International Conference on Industrial engineering and systems management, Morocco, pages 637 -- 643, 2013
Moalla, D., Elkosantini, S., Darmoul S., An artificial immune network to control traffic at a single intersection, International conference on Industrial engineering and systems management, Morocco, pages 842 - 848, 2013
Elkosantini S., Darmoul S., Intelligent Public Transportation Systems: A Review of Architectures and Enabling Technologies, IEEE International Conference on Advanced Logistics and Transport (ICALT'2013), 2013, Sousse, Tunisia
2012Gheriani N., Elkosantini S., Pierreval H., An Agent-Based System for Tasks Assignment and Reassignment of Multi-Skilled Operators, IEEE Logistics Operations Management, 2012, LeHavre, France
Masmoudi A., Elkosantini S., Darmoul S., H. Chabchoub, An artificial immune system for public transport regulation, 9th International Conference of Modeling and Simulation - MOSIM2012, 2012, Bordeaux, France
Trabelsi B. , Elkosantini S., Darmoul S., Traffic control at intersections using artificial immune systems, 9th International Conference of Modeling and Simulation - MOSIM2012, 2012, Bordeaux, France
Ammar A., Elkosantini S., Pierreval H., Resolution of Multi-Skilled Workers Assignment Problem Using Simulation Optimization: a Case Study, 2nd IEEE International Conference on Computer Science and Automation Engineering - CSAE2012, 2012, China, pp. 748- 754
2011Elkosantini S., Mnif S., Chabchoub H., An urban traffic controller for signposted road-rail intersections, 4th IEEE International Conference on Logistics- LOGISTIQUA'11, 2011, Tunisia
Elkosantini S., Mnif S., Chabchoub H., A system for the traffic control in signposted junctions, SSCI 2011 - IEEE Symposium Series on Computational Intelligence, 2011, France
2010Abdallah N., Elkosantini S., Allouche M.A., Loukil T., Fuzzy NEH Algorithms for Flow Shop Scheduling Problems, the 9th international conference on Multiple Objective Programming and Goal Programming, 2010, Tunisia
2008Elkosantini S., Gien D., Simulation du comportement des opérateurs pour la gestion de la qualité des systèmes de production. 7ème Conférence Francophone de Modélisation et Simulation (MOSIM'08). Paris, France, 2008
2007Elkosantini S., Gien D., Méthode de validation d'un modèle de comportement des acteurs dans la conduite d'une tâche. 7e Congrès international de génie industriel, Trois-Rivières, Québec (CANADA), 2007
Elkosantini S., Gien D., Human behavior and Social network simulation: Fuzzy Sets/Logic and agents-based approach. ADS'07, Agent-Directed Simulation, part of the ACM/SCS Spring Simulation Multiconference (SpringSim'07), ISBN 1-56555-313-6, Norfolk-Virginia, USA, 2007, pp.102-109
Elkosantini S., Gien D., The fuzzy simulation of human operator behaviour". IMSM07, the SCS International modelling and simulation multi-conference, Argentine, 2007, pp. 133-138
2006Elkosantini S., Gien D., A Dynamic model for the behavior of an operator in a company. In the proceeding of the INCOM'06, 12th IFAC/IFIP/IFORS/IEEE/IMS Symposium on Information Control Problems in Manufacturing (Edited by A. Dolgui, G. Morel, C. Pereira), Elsevier, ISBN: 978-0-08-044654-7, France, 2006, pp. 175-180
Elkosantini S., Gien D., Simulation du comportement des opérateurs pour la gestion de la qualité des systèmes de production. MOSIM'06, 6ème Conférence Francophone de Modélisation et Simulation. Rabat - Maroc, 2006, pp. 1545 - 1654
Dissemination & community service
AwardsDistinguished Researcher Award, King Saud University (2015 and 2018) · Scientific Excellence Award, PAAMS 2016 (Spain).
ReviewingAdvanced Engineering Informatics, Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Heliyon, Information Sciences, Knowledge-Based Systems, Artificial Intelligence Review, Simulation Modelling Practice and Theory; IFAC MIM 2022, INISTA, ICCIE and Industry of the Future and Smart Manufacturing conferences.
Media & speaking
Conference and workshop organizationSIMULTECHProgram committee, 2012–2019: Simulation and Modeling Methodologies, Technologies and Applications (Rome to Prague).
SIMULProgram committee, 2013–2019: Advances in System Simulation.
ICALTProgram committee, 2013–2017: IEEE Advanced Logistics and Transport. Organizing committee, 2013.
GOL · ICoTSCLogistics Operations Management (2012, 2014); Transport and Smart Cities (2020, Madrid).
OtherICC 2017 (Cambridge), IPAC 2016 (Prague), GS-MICST 2014 (Dubai), ICCSII 2012 (Bandung), LOGISTIQUA 2011.
ChairTrack chair, MOSIM 2010; special-session chair, MOSIM 2012. Organizing committees: MOPGP 2010 and ROAD 2013 doctoral days.
About
I am an Associate Professor of Computer Science at the University of Carthage (Faculty of Economics and management of Nabeul), with a Ph.D. from Université Blaise Pascal and an HDR from Université Lyon 2. My career began in France, continued in Tunisia and at King Saud University in Saudi Arabia, and has always combined teaching with research on decision making under uncertainty: first intelligent transportation, then e-health, Industry 4.0 and cloud-fog-edge computing.
Along the way I have supervised doctoral and Master's students, led and coordinated international research and capacity-building projects with partners in Tunisia, South Korea, Morocco and Europe, and designed courses from object-oriented programming to machine learning. In parallel, I advise and train organizations on applied AI, from use-case identification and generative AI to workflow automation, data quality and LLMOps, so that research and field experience feed each other. I teach in English, French and Arabic.
International experience
Career
2018 – todayAssociate Professor, University of Carthage (Faculty of Economics and Management of Nabeul). Coordinator of the Innotech center and of the Research Master in Business Computing; member of SMART Lab.
2014 – 2018Assistant Professor, King Saud University, Riyadh. Principal Investigator of the AI-SOS group; member of ABET and NCAAA accreditation and quality committees.
2008 – 2014Assistant Professor, ISIMa, Mahdia (Tunisia). Academic dean 2011–2014; e-learning coordinator.
2004 – 2008Teaching and research positions, University of Lyon 2 and IFMA Clermont-Ferrand (France).
Education & certifications
2018 · 2019HDR (Habilitation to Supervise Research), University of Lyon 2 · Qualification to university professor positions, French CNU sections 27 and 61.
2007Ph.D. in Computer Science, Université Blaise Pascal, Clermont-Ferrand.
2003 · 2004Engineering degree, ENIS Sfax · M.Sc. in Computer Science, University of Lyon 2.
CertifiedISO 21001 Lead Auditor (PECB) · ISO 9001:2015 Quality Manager (AFAQ-AFNOR) · Oracle Certified Professional Java SE 6.
LanguagesEnglish (fluent) · French (fluent) · Arabic (native).
Contact
Choose the type of engagement, then describe your need in a few lines.
Prefer to write directly? sabeur.elkosantini@gmail.com · LinkedIn