Keynote Speeches, Tutorials and Seminars

Professor Bouchaffra has given several keynote speeches, tutorials and seminars in various conferences and institutions:


Keynote Speeches, Seminars, and Webinars: 

  • AAST 2023 Seminar : “Intelligent Digital Transformation”, Sept. 26th, 2023.
  • Webinar 2021: “impact of artificial intelligence on society January, 2021,
  • ICNLSP 2018: “Artificial Intelligence and Machine Learning Challenges”, The 2nd International Conference on Natural Language and Speech Processing”, Algerian National Library, April 25, 26, 2018.
  • WCLAA 2017: “Exploring Sentiment Analysis via Deep Learning” , The First Workshop on Computational Linguistics and Applications to Arabic, Computational Linguistics Department, CRSTDLA, Algeria, December 2017.
  • ICEE 2017: “Difference Between Artificial Intelligence, Machine Learning and Deep Learning”, The Fifth International Conference on Electrical Engineering, University of Boumerdes, Algeria, October 2017.
  • CSA 2016: “Deep Learning versus Hierarchical Temporal Memory Learning”, The Second Conference on Computing Systems and Applications, Algiers, December 13-14 2016. (Acknowledgement)
  • JLCPTS 2016: “Traditional Artificial Intelligence vs. Deep Machine Learning: Advantages and Limitations”, Workshop of the Speech Communication and Signal Processing Lab, Journées du Laboratoire, December 05, 2016, LCPTS, FEI, U.S.T.H.B. , Algiers, Algeria.
  • ISCV 2015: “Exploring Machine Learning Paradigms: Current and Future Trends”, The first International Conference on Intelligent Systems and Computer Vision, Fez-Morocco, March 2015.
  • ICAR 2015: International Conference on Applied Research in Computer Science and Engineering, Lebanon, 2015.
  • ICEE 2015: The Fourth International Conference on Electrical Engineering, University of Boumerdes, Algeria, December 2015.

  • WOSSPA’13: The Eight International Workshop on Systems, Signal Processing and their Applications, May, 2013, Hotel Safir Mazafran, Zéralda, Algiers, Algeria.



  • “Machine Learning Techniques in Computer Vision”, International Conference in Computer Vision and Robotics, Centre of Development and Advanced Technologies, Algiers, June 2011.
  • “Introduction to Topological Hidden Markov Models: Analysis and Effect of Growth/Aging on Human Face Prediction”
    invited by Prof. Y. Bennani, Institut Galile’e (apprentissage non supervisé a base de mode`les de Markov cachés structure’s et topologiques), LIPN UMR 7030 du CNRS, Universite Paris XIII, Nord, France.
  • “Extension of Hidden Markov Models into Structural Hidden Markov Models”, 2003 IEEE International Conference on Systems, Man & Cybernetics; 2003, Hyatt Regency, Washington, D.C., USA.

School Seminars

  • “Combination of Probabilistic Logic/Minimum Perplexity Principle: Application to Language Modeling”, CSE Depart. Oakland University, February 2005.
  • “Applied Research Review in Pattern Recognition”, Oakland University, Octobre 2003 invited by Michigan Industrial Partners.
  • “Combining Algebraic/Topological Structures with “Stochasticity”: Application to Object Classification”, Mars 2002.
  • “Mapping Objects Designs to Human Perceptions”, Chrysler, Rochester, Michigan, USA, Novembre 2001.
  •  “Pattern Recognition in Practice”, Oakland University, Michigan, USA, October 2000.


University Seminars

  • “Solving the Sparse Events Problem through Probabilistic Logic:  Application to Speech Recognition”, Department of Mathematics, Oakland University, USA, March 2003.

  • “Incorporating Signal with Language Sources in a same Bayesian Framework”, Computer Science Department, State University of New York at Buffalo, USA, February 2000.
  • “Comparing the Gibbs Markov Random Field Classifier to others (NN, GA)”, Université du Québec a Montréal, Canada, May 1996.
  • “The Contribution of Hidden Markov Models in Natural Language Processing”, Université du Québec à Trois Rivières, Québec, Canada, June 1995.
  • “Logique Probabiliste et Entropie”, Université Joseph Fourier, Grenoble, France, May 1993.

Industrial Seminars

  • “Mining Customers’ Preferences for Automotive Design”, DaimlerChrysler/Tacom, September 2002.
  • “Pattern Recognition in Practice”, DELPHI Automotive Company (HQ), Avril 2001.
  • “A Dynamical Information Retrieval System using a Gibbs-MRF distribution concept”, Congrès ACFAS’95, Canada.
  • “Application du Réseau de Neurone ART (Adaptive Resonance Theory) au Problème de la Chaîne de Traitement Terminologique”, Congrés ACFAS’95, Canada.
  • “A Sampling Procedure and a Vectorial Markov Chain for Parts of Speech Tagging”, Rank Xerox Research Center, Grenoble France, December 1993.
  • “Les chaînes de Markov dans Cristal”, Séminaire sur les diverses applications des processus markoviens”, Institut National de Télécommunication, INT, Ivry Paris, France, June 1993.

Talks at professional and governmental organizations

  • “Mining Customers’ Preferences for Automotive Designs”, Southfield, Michigan, Mars 2003, invited by the IEEE Chapter V.
  • “Molecular and Computational Prediction of Functional Repertoire of Microbial Community Stressed by Metal Pollution”, Department of Energy (DOE), Washington DC, June 2002.