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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.

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016

2024

Observing the Users to Estimate the Perceived Quality: Challenges and Technologies  
Luigi Atzori, Universita degli Studi di Cagliari, Italy

From Anthropomorphic to Zoomorphic Social Robots: Our Experiences  
Patrick Hung, Faculty of Business and IT, Ontario Tech University, Canada

In a World of Digital Transformation, Is AI Turning Us Into Superheroes?
Matthieu Deboeuf Rouchon, Capgemini Engineering, France


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 Environments
Jie Lu, University of Technology Sydney, Australia

Event Detection and Classification in Big IoT Networks from Scarce and Imprecise Labels
Zoran 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 Directions
Eleni Karatza, Informatics, Aristotle University of Thessaloniki, Greece


2018

CLOUD, Trigger of a Socio-economic Revolution
Tobias 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 Data
Yi-Ke Guo, Independent Researcher, United Kingdom

Challenges on Big data based Clouds Health-Care for Risk Predictions based on Ensemble Classifiers and Subjective Analysis
Hamido 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

Security and Privacy in the Cloud    
Pierangela Samarati, Università degli Studi di Milano, Italy


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