Algorithmic Aspects of Wireless Sensor Networks and the Internet of Things
(IoT)
- Sensor data propagation algorithms
- Energy management and optimization
- Mobility managements
Artificial Intelligence of Things
- Machine Learning Modeling for Data Mining of Time Series IoT Data
- Human Activity & Gesture Recognition
- Pattern Recognition on IoT Data
- Audio Analysis
- Edge Intelligence and Tiny ML
- Mobile Crowdsensing/Crowdsourcing
- Signal Processing
Healthcare 5.0
- Disease Identification from Audio and Voice Analysis
- Disease Identification from Biomarkers utilizing IoT data related to Vital Signs
- AI Modeling Deployment on Edge Devices (smartphones, smartwatches, etc.)
- Crowdsensing/Crowdsourcing for Disease Exacerbation Spatiotemporal Monitoring, in real-time
- Environmental IoT Data Analysis
- Social Media Analytics for Disease Onsets Spatiotemporal Monitoring, in real-time
Inteligent IoT Systems in Manufacturing Industries
- IIoT Controllers in production lines
- ML-based soft sensing for quality assurance
- Predictive Maintenance for production equipment
- Deep learning for Structural Health Monitoring (SHM)
Wireless Energy Transfer Protocols and Electromagnetic Radiation Control
- Vectorial models for wireless power
- Mobile/peer to peer charging
- Radiation control algorithms
Probabilistic Algorithms and Random Graphs
- Combinatorial properties of random graphs
- Probabilistic algorithms
- Random intersection graphs
Psychoanalysis Driven Computing and its Applications to Social Networks and Intelligent Systems
- Computational identification of Lacanian Discourses in interactive digital media
- Selected applications (fake news detection etc.)
- Early detection of medical conditions
- Neuro/psychoacoustics
Crowdsourcing, Crowdsensing and Mobile Sensing
- Mobile crowdsensing
- IoT crowdsourcing
- Incentivization mechanisms
Privacy and Trust
- Crowdsourced privacy and security
- Economic aspects of cybersecurity
