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Teaching staff


Mrs SAMIA CHEHBI GAMOURA

Associate Professor
PhD in Data Science, Artificial Intelligence, and Management
Field : Strategy / Operational Management
Personal website : http://www.samiagamoura.com

Teaching fields

Big Data Analytics, Artificial Intelligence, Machine Learning, Enterprise Information Systems, Supply Chain Management, Project Management, Modeling, Simulation

Research topics

Artificial Intelligence and Management, Machine Learning for Management, Digitalization and Enterprise Information Systems, Supply Chain Analytics, Innovative Project Management, Modeling, Simulation

Teaching

- Doctorat PhD en Intelligence Artificielle appliquée au Supply Chain Management à la Fac Eco Gestion Lyon 2,
- Master 2 Recherche (ex. DEA) en Intelligence Artificielle appliquée à l'imagerie médicale à l'INSA de Lyon,
- Ingénieur d'Etat en Génie Logiciel - Informatique,
- Cértifiée Gestion de Projet, Gestion Agile, Cryptologie, Master Data Management

Experiences

Ph.D. in Artificial Intelligence applied to Supply Chain Management
DEA (Master 2) in Systems and Artificial Intelligence
Engineer in Software Development
Working Papers
CHEHBI GAMOURA S. (2020). Real-time data analytics and prediction of the covid-19 pandemic (period to April 2nd 2020)
CHEHBI GAMOURA S. (2020). Real-time data analytics and prediction of the covid-19 pandemic (period to March 22th 2020)
CHEHBI GAMOURA S. (2020). Real-time data analytics and prediction of the covid-19 pandemic (period to March 26th 2020)
CHEHBI GAMOURA S. (2020). Real-time data analytics and prediction of the covid-19 pandemic (period to March 28th 2020)
CHEHBI GAMOURA S. (2020). Real-time data analytics and prediction of the covid-19 pandemic (period to April 4th 2020)
CHEHBI GAMOURA S. (2020). Real-time data analytics and prediction of the covid-19 pandemic (period to April 10th 2020)
CHEHBI GAMOURA S. (2020). Real-time data analytics and prediction of the covid-19 pandemic (period to April 13th 2020)
CHEHBI GAMOURA S. (2020). Proposition De Strategie De Deconfinement Basee Sur L'intelligence Artificielle Et La Prediction: Analytiques Et Prediction En Temps Reel De La Pandemie Covid-19
Book
CHEHBI GAMOURA S. (2018). L’ère de l’ordinateur penseur : Intelligence et Cerveau Artificiel. EU Editions
CHEHBI GAMOURA S. (2010). Modélisation et Simulation des Chaînes Logistiques par l’Approche Agents. EU Editions
Chapter in a book
CHEHBI GAMOURA S., MALHOTRA M. (2020). Master Data-Supply Chain Management, the Key Lever for Collaborative and Compliant Partnerships in Big Data Era: Marketing/Sales Case Study. Impacts and Challenges of Cloud Business Intelligence, New York, USA, IGI Global, 72-101
CHEHBI GAMOURA S., KORUCA H., GÜLMEZ E., KOCAER E., KHELIL I. (2020). The Evidence of the "No Free Lunch" Theorems and the Theory of Complexity in Business Artificial Intelligence. Trends of in Data Engineering Methods for Intelligent Systems, Charm, Switzerland, Springer Nature
CHEHBI GAMOURA S. (2020). A Non-Stigmergic Ant Colony Algorithm for Efficient Load-Balancing in Business Big Data Analytics. Artificial Intelligence and Natural Algorithms, USA, Bentham Science
CHEHBI GAMOURA S., DERROUICHE R., KORUCA H., KAYA Ü. (2020). State and Trends of Machine Learning Approaches in Business: An Empirical Review. Artificial Intelligence and Applied Mathematics in Engineering Problems, Cham, Switzerland, Springer Nature, 1-16
KAYA Ü., KORUCA H., CHEHBI GAMOURA S. (2019). Development Of A Flexible Software For Disassembly Line Balancing With Heurıstic Methods. Artificial Intelligence and Applied Mathematics in Engineering Problems, Charm, Switzerland, Springer Nature, 1014–1026
KORUCA H., KOKER U., CHEHBI GAMOURA S., ULUşıK S. (2018). Balancing Assembly Line of Sofa Sets in a Furniture Factory and Measuring the Efficiency of the System by A Simulation. Academic Perspective Procedia, Turquie, Academic Perspective Procedia
CHEHBI GAMOURA S. (2018). A Cloud-Based Approach for Cross-Management of Disaster Plans: Managing Risk in Networked Enterprises. Critical Research on Scalability and Security Issues in Virtual Cloud Environmen, New York, USA, IGI Global
CHEHBI GAMOURA S., DERROUICHE R., MALHOTRA M., KORUCA H. (2018). Adaptive Management Approach for more Availability of Big Data Business Analytics. Engineering and MIS, New York, NY, USA, ACM
CHEHBI GAMOURA S., DERROUICHE R. (2017). Big Valuable Data in Supply Chain: Deep Analysis of Current Trends and Coming Potential. Collaboration in a Data-Rich World, Charm, Switzerland, Springer, 230-241
CHEHBI GAMOURA S., BUZON L., DERROUICHE R. (2015). Machine Learning Agents in the Cloud to Support Smart Business Process Management. Risks and Resilience of Collaborative Networks, Berlin, Springer, 479-488
CHEHBI GAMOURA S., OUZROUT Y., BOURAS A. (2006). Multi Layers Supply Chain Modelling Based on Multi agents Approach. Emerging Solutions for Future Manufacturing Systems, Boston, USA, Springer/Kluwer, 307-314
Articles in academic journals
CHEHBI GAMOURA S. (2020). Predictive Reinforcement Learning Algorithm for Unstructured Business Process Optimization: Case of Human Ressources Process. International Journal of Spatio-Temporal Data Science
KORUCA H., GÜLMEZ E., KOCAER E., CHEHBI GAMOURA S. (2020). Review of Personnel Schedule in Term of Work-Life Balance. Journal of Engineering Sciences and Design, 8 (n° 5)
KOCAER E., KORUCA H., CHEHBI GAMOURA S. (2019). Evaluation of Waiting Time and Transport Costs with Simulation in Urban Bus Transport. International Journal of Applied Mathematics Electronics and Computers, 7 (n° 4) Impact Factor. 1
KUCHARAVY D., DAMAND D., CHEHBI GAMOURA S., BARTH M., MORNAY S. (2019). Entrepôt du futur : le concept de cartographie de contradictions. Logistique & Management [FNEGE cat.3, HCERES cat.C]
CHEHBI GAMOURA S., DERROUICHE R., DAMAND D., BARTH M. (2019). Insights from Big Data Analytics in Supply Chain Management: An All-Inclusive Literature Review Using the SCOR Model. Production Planning and Control, 31 (n° 5) [CNRS cat.2, FNEGE cat.2, HCERES cat.A] Impact Factor. 4
DAMAND D., DERROUICHE R., BARTH M., CHEHBI GAMOURA S. (2019). Supply Chain Planning: potential generalization of parameterization rules based on a literature review. Supply Chain Forum: An International Journal, 20 (n° 3) [CNRS cat.4, FNEGE cat.3, HCERES cat.B] Impact Factor. 1
KOKER U., KORUCA H., CHEHBI GAMOURA S. (2019). A Comparison of Current and Alternative Production Characteristics Of a Flow Line: Case Study In a Yarn Producer’s Packaging Unit, , Vol. 10, n° 2147-8228, 2018 (with U. KÖKER, H. İ. KORUCA). International Journal of Applied Mathematics, Electronics and Computers, 7 (n° 1) Impact Factor. 1
KERROUCHE H., CHEHBI GAMOURA S. (2019). التعزيز غير اللساني للخطاب المنطوق - Non-verbal reinforcement of operative speech. Journal of cultural-linguistic and artistic studies, 5
CHEHBI GAMOURA S., DERROUICHE R., DAMAND D., KUCHARAVY D., BARTH M. (2019). Gestion croisée des risques dans les industries orientées Big Data grâce â l'utilisation des Cartes Cognitives Floues: Cross-Management of Risks in Big Data-Driven Industries. Logistique & Management, 28 (n° 2) [FNEGE cat.3, HCERES cat.C]
CHEHBI GAMOURA S. (2016). Smart Workload Automation by Swarm Intelligence within the Wide Cloud Computing. International Journal of Mechanical Engineering and Automation, 3 (n° 4)
Participation in a meeting/workshop/seminar/conference/study day/etc.
KUCHARAVY D., DAMAND D., CHEHBI GAMOURA S., BARTH M. Supporting strategic decision-making in Manufacturing 4.0 with mix of qualitative and quantitative data analytics, Conférence Internationale, (International Conference on Modeling, Optimization, and Simulation Novembre 2020)
KUCHARAVY D., DAMAND D., CHEHBI GAMOURA S., BARTH M. Supporting Strategic Decision-Making in Manufacturing 4.0 with mix of qualitative and quantitative data analysis, 13ème Conférence Internationale de Modélisation, Optimisation et Simulation (MOSIM'20), ( Novembre 2020)
CHEHBI GAMOURA S. Blockchain Adoption in Business Models: What is the Business Value?, (International Conference on Economics and Business Management (ICEBM) 2020)
CHEHBI GAMOURA S. The Theory of Complexity and No Free Lunch Theorem in Business Artificial Intelligence, (Association for Information Systems 2020)
CHEHBI GAMOURA S. Review of Personnel Schedule in Term of Work-Life Balance, (Academy of Management 2020)
KUCHARAVY D., DAMAND D., BARTH M., DERROUICHE R., CHEHBI GAMOURA S. Using map of contradiction for decision support within warehouse design process, 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019, (International Federation of Automatic Control Aôut 2019)
CHEHBI GAMOURA S., DERROUICHE R., KORUCA H., KERROUCHE H. Predictive Machine Learning for Recommendation System in Big Data Unstructured Business Processes, 179th International Academy of Science, Technology, Engineering and Management (IASTEM 2019), (World Research Library Mai 2019)
CHEHBI GAMOURA S., KUCHARAVY D., DAMAND D., BARTH M., DERROUICHE R. Using map of contradiction for decision support within warehouse design process, (9th IFAC/IFIP/IFORS/IISE/INFORMS Conference Manufacturing Modelling, Management and Control MIM 2019 2019)
DERROUICHE R., CHEHBI GAMOURA S. Using Big Data Analytics in Supply Chain: Literature review and a Proposed Framework, (596th International Conference on Economics and Business Management ICEBM’2019 2019)
CHEHBI GAMOURA S., DERROUICHE R. Customer Demand suitable Bicycle Design and Cost Analysis, (AssossCongress 18-19-20 NİSAN 2019 ALANYA/ANTALYA/TÜRKİY 2019)
CHEHBI GAMOURA S., DERROUICHE R. Making Supply Chain Data more valuable through Machine Learning Approaches: A Methodical Review, (IEEE 7th edition of the 2019 International Conference on Advanced Logistics and Transport (IEEE ICALT 2019) 2019)
CHEHBI GAMOURA S., DAMAND D. Rôles des Analytiques en Big Data dans la Supply Chain: Analyse Approfondie des Tendances Actuelles et Potentiels à Venir, (Academy of Management 2018)
DERROUICHE R., CHEHBI GAMOURA S. Collaborative Supply Chain Balanced ScoreCard Framework to analyse Collaborative Value-Added,, (5th international symposium on social humanities and administrative sciences ASOS’2018, 2018)
CHEHBI GAMOURA S., DERROUICHE R. Supply Chain Balanced ScoreCard Framework to analyse Collaborative Value-Added, (5th International Social Sciences Symposium in Yildiz Teknik University 2018)
CHEHBI GAMOURA S. L’intelligence Artificielle entre la réalité et l’espoir: Etude technique et pratique en management الذكاء الاصطناعي بين الواقع والمأمول : دراسة تقنية وميدانية, (5th Colloque International de l’Intelligence Artificielle 2018)
CHEHBI GAMOURA S. A Comparison of Current and Alternative Production Characteristics Of a Flow Line: Case Study: In a Yarn Producer’s Packaging Unit, (International Conference of Advanced Technology and Science 2018)
CHEHBI GAMOURA S. Toward Fault-Tolerant Management of Big Data Supply Chains: Case of Butterfly Effect, (International Conference of Advanced Technology and Science 2018)
CHEHBI GAMOURA S., DERROUICHE R., DAMAND D. Predictive Cross-Management of Disaster Plans in Big Daya Supply Chains: Fuzzy Cognitive Maps Approach, (Academy of Management 2018)
CHEHBI GAMOURA S., DAMAND D. Towards a Collaborative Supply Chain Balanced Scorecard Framework to Analyse Collaborative Value-added, (IEEE International Conference on Industrial Engineering and Engineering Management 2017)
CHEHBI GAMOURA S., DERROUICHE R. MACSC : Un Outil de Simulation Multi-Agents pour la Gestion Collaborative des Chaines Logistiques Complexes, (10ème Congrès International de Génie Industriel 2013)
CHEHBI GAMOURA S. Multi criteria decision making to improve supply chain interactions: multi agent simulation approach, (12th Symposium on Information Problems in Manufacturing 2006)
CHEHBI GAMOURA S. Simulation de prise de décision dans la Supply Chain: une approche multi agents, (Academy of Management 2006)
CHEHBI GAMOURA S., DERROUICHE R. La formulation mathématique des interactions entre les acteurs de la Chaîne Logistique, (National Conference of University Research 2004)
CHEHBI GAMOURA S., DERROUICHE R. Modelisation d’une Collaboration Inter-Entreprises N-Acteurs : Vers Le C-MRP, (5th International Conference of Modelling, Optimization and SIMulation (MOSIM 2004) 2004)
CHEHBI GAMOURA S. La collaboration inter-entreprises n-acteurs avec le C-MRP, (1ère Conférence Internationale Francophone d’Automatique 2004)
CHEHBI GAMOURA S. Supply Chain Complexity: Formulation, Design and Multi Layers Modeling, (4th International Conference on Modeling and Optimization 2004)
CHEHBI GAMOURA S. Aide à la décision multicritère dans la supply chain modélisée par des agents décideurs, (Colloque en Information et Systèmes Productifs 2004)
CHEHBI GAMOURA S., DERROUICHE R. Multi Agent Supply Chain Architecture to Optimize Distributed Decision Making, (7th Conference on Systemic and Informatics 2003)
CHEHBI GAMOURA S. Using an elastic deformable template for the segmentation of ultrasound cardiac radio frequency images based on the velocity information, (IEEE International Ultrasonic Symposium 2002)
Study and report
CHEHBI GAMOURA S. (2002). Segmentation des Séquences d’Images Ultrasonores RF par la Méthode des Gabarits Déformables: Application au suivi des mouvements cardiaques
CHEHBI GAMOURA S. (2001). Elaboration d’un Algorithme Robuste d'Apprentissage Back Propagation dans les Réseaux de Neurones Artificiels: Application à la reconnaissance de mots en langue arabe
Doctoral dissertation defended
CHEHBI GAMOURA S. (2007). Modélisation et Simulation des Processus Collaboratifs dans les Chaînes Logistiques : Une Approche Multi Agents.
Book editor
(2020). The Role of Organizations to Achieve the Sustainable Develoment During the Global Pandemic. , Democratic Arabic Center Berlin / Germany
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