Previous Invited Speakers
The researchers below were distinguished invited speakers at previous IJCCI conferences.
We are indebted to them for their contribution to heighten the conference level.
2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009
2023
Towards True Explainable Artificial Intelligence for Real-World ApplicationsHani Hagras, University of Essex, United Kingdom Deep Learning for Active Robotic Perception Anastasios Tefas, Aristotle University of Thessaloniki, Greece Next Generation of Multi-Objective Evolutionary Optimization and Decision-Making Algorithms Sanaz Mostaghim, Otto-von-Guericke-Universität Magdeburg, Germany Assessment and Evaluation of Empirical and Scientific Data Nikolaus Hansen, Inria & Ecole Polytechnique & Institut Polytechnique de Paris, France
2022
Data Science and Industrial Applications Abir Hussain, University of Sharjah, United Arab Emirates Evolving Embodied Intelligence Gusz Eiben, Vrije Universiteit Amsterdam, Netherlands Federated Learning: A Hype or a Trend? Anna Wilbik, Maastricht University, Netherlands
2021
Differentiability in Quadratic Mean of Deep Networks Joseph Rynkiewicz, Université de Paris 1 Panthéon-Sorbonne, France Recent Research Topics in Evolutionary Multiobjective Optimization: A Personal Perspective Carlos C. Coello, CINVESTAV-IPN, Mexico Machine Learning in Non-Stationary Environments Barbara Hammer, Bielefeld University, Germany
2020
How to Address Uncertainty in Smaller, Faster, More Agile, Yet Safer Drones? Erdal Kayacan, Aarhus University, Denmark Collective and Individual Decision-Making in Swarm Robotics Sanaz Mostaghim, Otto-von-Guericke-Universität Magdeburg, Germany Rise of Evolutionary Multi-Objective Optimization: Algorithms and Applications Kalyanmoy Deb, Michigan State University, United States Machine Learning with Limited Size Datasets M. Verleysen, Machine Learning Group, Université Catholique de Louvain, Belgium
2019
How Theoretical Analyses Can Impact Practical Applications of Evolutionary Computation Pietro S. Oliveto, Southern University of Science and Technology, China Swarm Intelligence in Distributed Systems Use-cases Vesna Sesum-Cavic, TU Vienna, Austria From Machine Learning to Explainable AI and Beyond Andreas Holzinger, Medical University Graz, Austria Type-2 Fuzzy Systems for Human Decision Making Jonathan Garibaldi, University of Nottingham, United Kingdom
2018
Adapted Psychological Profiling Verses the Right to an Explainable Decision Keeley Crockett, Manchester Metropolitan University, United Kingdom Learning Vector Quantization Methods as Multi-layer Networks for Interpretable Classification Learning Thomas Villmann, University of Applied Sciences Mittweida, Germany Computational Intelligence Applications in Skeleton-based Forensic Identification: Automating Craniofacial Superimposition and Comparative Radiology Oscar Cordón, University of Granada, Spain An Approximation to the Problem of Information Fusion in Fuzzy Classification Humberto Bustince, Public University of Navarra, Spain
2017
The Electroencephalogram (EEG) Analysis and Classification for Diagnosis and Prognosis of Brain DisordersAntónio Dourado, University of Coimbra, Portugal Towards Lifelong Learning in Optimisation Algorithms Emma Hart, Edinburgh Napier University, United Kingdom Ambient Intelligent Systems: The Role of Non-Intrusive and Sensitive Approaches Paulo Novais, Universidade do Minho, Portugal Type-2 Fuzzy Systems for Human Decision Making Jonathan Garibaldi, University of Nottingham, United Kingdom
2016
Automatic Algorithm Configuration: Methods, Applications, and Perspectives Thomas Stützle, Université Libre de Bruxelles, Belgium STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing Una-May O'Reilly, MIT Computer Science and Artificial Intelligence Laboratory, United States Get Ready for the Cloud - A New Paradigm in Scientific Computing Juan Julian Merelo, University of Granada, Spain Horizon 2020’s SME InstrumentDaniel Chirtes, Independent Researcher, Romania
2015
AI Researchers, Video Games are your Friends! Julian Togelius, New York University, United States Scalable Model based Evolutionary Multi-objective Optimization Yaochu Jin, University of Surrey, United Kingdom Perpetual Motion, Evolutionary Computation in Industry and other Chimeras Anna Esparcia-Alcázar, Universitat Politècnica de València, Spain Evolving Fuzzy Systems - Fundamentals, Reliability, Interpretability, Useability and Applications Edwin Lughofer, Johannes Kepler University, Austria
2014
Bridging the Emotional Gap - From Objective Representations to Subjective Interpretations Marie-Jeanne Lesot, Independent Researcher, France Computational Intelligence in Automotive R & DDanil Prokhorov, Toyota Tech Center, United States In Silico Cyclic Phenomena - Fascination through ComputationBernard De Baets, Ghent University, Belgium Learning in Non-stationary Environments Cesare Alippi, Politecnico di Milano, Italy
2013
The Disappearing Human-Machine DivideKevin Warwick, University of Reading and Coventry University, United Kingdom Putting Intelligence into Computational Intelligence Leslie Smith, University of Stirling, United Kingdom The Art of Programming Evolutionary Algorithms Juan J. Merelo, Universidad de Granada, Spain Learning from Imprecise and Fuzzy Data: on the Notion of Data Disambiguation Eyke Hüllermeier, Philipps University of Marburg, Germany Information Fusion - An Appealing Avenue for Robust Knowledge Discovery in Multi-Source EnvironmentsBelur V. Dasarathy, Independent Researcher, United States
2012
The Infinity Computer and Numerical Computations with Infinite and Infinitesimal NumbersYaroslav D. Sergeyev, University of Calabria, Italy Fuzzy Information in Statistics Reinhard Viertl, Vienna University of Technology, Austria "Morphological Computation" - Self-organization, Embodiment, and Biological Inspiration Rolf Pfeifer, University of Zurich, Switzerland
2011
AWARENESS COMPUTING: WHAT, WHY, AND HOW? Qiangfu Zhao, Aizu, University, Japan CONCEPTS AND DESIGN OF GRANULAR FUZZY NEURAL NETWORKS - New Constructs of Computational Intelligence Witold Pedrycz, University of Alberta, Canada ONTIC VS. EPISTEMIC FUZZY SETS IN MODELING AND DATA PROCESSING TASKS Didier Dubois, , France INCREMENTAL SOCIAL LEARNING IN SWARM INTELLIGENCE ALGORITHMS FOR OPTIMIZATION Marco A. Montes de Oca, University of Delaware, Belgium AUTONOMOUS LEARNING MACHINES - Generating Rules from Data Streams Plamen Angelov, Lancaster University, United Kingdom FEATURE SELECTION FOR HIGH-DIMENSIONAL DATA ANALYSIS Michel Verleysen, Université Catholique de Louvain, Belgium
2010
(MOSTLY) FUZZY CLUSTERING IN VERY LARGE DATA SETSJames Bezdek, University of Melbourne, Australia PRIOR KNOWLEDGE IN SUPERVISED CLASSIFICATION MODELSPanos M. Pardalos, University of Florida, United States INFORMATION THEORY AND GAME STRATEGY LEARNINGSimon M. Lucas, University of Essex, United Kingdom PERSPECTIVES OF FUZZY SYSTEMS IN PROCESS MONITORING AND CONTROLAntonio Sala, Technical University Valencia, Spain
2009
TOWARDS HUMAN/SOCIAL INSPIRED COMPUTATION Janusz Kacprzyk, Polish Academy of Sciences, Poland PROBABILISTIC VIEW ON SELF-ORGANIZING MAPS AND DIMENSION REDUCTIONJouko Lampinen, Laboratory Of Computational Engineering,, Finland LANGUAGE, COGNITION AND CULTURAL EVOLUTION Leonid Perlovsky, Harvard University & Air Force Research Laboratory, United States INTELLIGENT SYSTEMS FOR DECISION SUPPORT Qiang Shen, Aberystwyth University, United Kingdom EVOLUTIONARY COMPUTATION IN FINANCE FORECASTING Edward Tsang, University of Essex, United Kingdom