Previous Invited Speakers
The researchers below were distinguished invited speakers at previous IoTBDS conferences.
We are indebted to them for their contribution to heighten the conference level.
2021 | 2020 | 2019 | 2018 | 2017 | 2016
2021
Multi-objective Evolutionary Federated Learning 
Yaochu Jin, University of Surrey, United Kingdom Interpretability and Explainability Facets of Data Analytics: Symbols and Information Granules Witold Pedrycz, University of Alberta, Canada Industry 4.0 and Society 5.0: Challenges from a Data Analysis Perspective Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), United States
2020
Edge Intelligence - The Co-evolution of Humans, IoT, and AI Schahram Dustdar, Vienna University of Technology, Austria New Horizons in IoT Workflows Provisioning in Edge and Cloud Datacentres for Fast Data Analytics: The Osmotic Computing Approach Rajiv Ranjan, Newcastle University, United Kingdom Reference Architectures for Cloud-based Platforms: Convergence vs. Diversification Robert Lovas, SZTAKI, Hungary
2019
Quality Data Processing for Deep Learning Francisco Herrera, University of Granada, Spain New Predictive Knowledge Discovery from Unstructured Big Data: Images Bonghee Hong, Pusan National University, Republic of Korea Clouds for Real-Time Applications - Scheduling Issues and Research DirectionsEleni Karatza, Aristotle University of Thessaloniki, Greece
2018
Scientific Workflows in the Era of Clouds Péter Kacsuk, MTA SZTAKI, Hungary CLOUD, Trigger of a Socio-economic RevolutionTobias Hoellwarth, EuroCloud Europe, Austria Will Cloud Gain an Edge? Lee Gillam, Independent Researcher, United Kingdom Smart Connected Digital Factories: Unleashing the Power of Industry 4.0 and the Industrial Internet Mike Papazoglou, Tilburg University, Netherlands
2017
Big Data, Smart Data and Imbalanced Classification - Preprocessing, Models and Challenges Francisco Herrera, University of Granada, Spain Assimilated Learning - Bridging the Gap between Big Data and Smart DataYi-Ke Guo, Independent Researcher, United Kingdom Challenges on Big data based Clouds Health-Care for Risk Predictions based on Ensemble Classifiers and Subjective AnalysisHamido Fujita, Iwate Prefectural University, Japan Big Data - Evolution, Trends and Opportunities Roy Cecil, IBM Portugal, Portugal
2016
Complexity Science with the Internet of Things Peter Sloot, Complexity Institute Singapore, Singapore; ITMO St. Petersburg; Russion Federation; University of Amsterdam, Netherlands The New Era of Multi-dimensional Data Management Verena Kantere, University of Geneva, Switzerland RTTMM: Role Based 3-Tier Mobility Model for Evaluation of Delay Tolerant Routing Protocols in Post Disaster Situation Mohammed Atiquzzaman, University of Oklahoma, United States Towards Building Cyber-physical Ecosystems of People, Processes, and Things Schahram Dustdar, Vienna University of Technology, Austria