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.
2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016
2023
"Living in the Edge, Sailing Through the Cloud”: Orchestrating Applications in the Edge to Cloud Computing ContinuumOrchestrating Applications in the Edge to Cloud Computing Continuum 
Tamas Kiss, Centre for Parallel Computing, University of Westminster, United Kingdom On Location Privacy and Security of Positioning in Modern Systems Srdjan Capkun, Computer science, ETH Zurich, Switzerland Slices: European Scientific Large-scale Infrastructure for Computing/Communication Experimental Studies Serge Fdida, LIP6, Sorbonne Université, France Integrating Machine Learning and Multi-Agent Systems for Fully Enabling Device-Edge-Cloud Continuum in Complex IoT Worlds Giancarlo Fortino, University Calabria, Italy
2022
Machine Learning for Decision Support in Complex EnvironmentsJie Lu, University of Technology Sydney, Australia Event Detection and Classification in Big IoT Networks from Scarce and Imprecise LabelsZoran Obradovic, Temple University, United States Neoteric Frontiers in Cloud and Edge Computing Rajkumar Buyya, University of Melbourne and Manjrasoft Private Limited, Australia Ecosystems of Social Digital Twins for Future IoT Network Antonio Iera, University of Calabria, Italy
2021
Multi-objective Evolutionary Federated Learning Yaochu Jin, Department of Computing, 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, Research Labs, 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, Dept. Of Computer Science And Artificial Intelligence, University of Granada, Spain New Predictive Knowledge Discovery from Unstructured Big Data: Images Bonghee Hong, Pusan National University, Korea, Republic of Clouds for Real-Time Applications - Scheduling Issues and Research DirectionsEleni Karatza, Informatics, Aristotle University of Thessaloniki, Greece
2018
CLOUD, Trigger of a Socio-economic RevolutionTobias Hoellwarth, EuroCloud Europe, Austria Scientific Workflows in the Era of Clouds Péter Kacsuk, LPDS, MTA SZTAKI, Hungary Will Cloud Gain an Edge? Lee Gillam, Department of Computing, University of Surrey, United Kingdom Smart Connected Digital Factories: Unleashing the Power of Industry 4.0 and the Industrial Internet Mike Papazoglou, European Research Institute in Service Science, Tilburg University, Netherlands
2017
Big Data, Smart Data and Imbalanced Classification - Preprocessing, Models and Challenges Francisco Herrera, Dept. Of Computer Science And Artificial Intelligence, 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, Faculty of Software and Information Science, 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, School Of Computer Science, University of Oklahoma, United States Towards Building Cyber-physical Ecosystems of People, Processes, and Things Schahram Dustdar, Distributed Systems Group, Information Systems Institute, Vienna University of Technology, Austria