Embedded Systems and Sensor Networks:
- Design of custom hardware architectures for embedded systems with focus on microcontrollers, multi-axis inertial sensors, acoustic sensors, and edge processing units for distributed and real-time monitoring applications
- Development of multi-channel sensor nodes for autonomous wireless networks, integrating advanced wireless communication technologies with sophisticated signal processing algorithms and optimized energy management strategies
Edge Computing and Artificial Intelligence:
- Edge computing for intelligent monitoring systems through implementation of machine learning algorithms (TinyML) on resource-constrained devices, with particular emphasis on neural classifiers and compressed sensing techniques for latency reduction and energy consumption optimization
- System identification algorithms in embedded systems for real-time data analysis, developing sensor-near data analytics solutions that significantly reduce wireless transmission requirements and enhance device autonomy
----- Application Domains -----
Structural Health Monitoring:
- Advanced vibration-based monitoring for structural integrity assessment utilizing high-performance, low-cost wireless accelerometers, neural networks, and compressed sensing techniques for automated damage identification in bridges and critical infrastructure
- Development of synchronized wireless structural monitoring systems with comprehensive IoT architectures for continuous monitoring of civil and industrial structures, complemented by innovative use of nano-drones (UAVs - Unmanned Aerial Vehicles) for inspections in high-risk environments where human intervention is challenging
Bioengineering and Medical Applications:
- mHealth systems for rehabilitation and monitoring through the development of intelligent wearable devices for continuous health parameter tracking and patient care enhancement
- Internet of Medical Things (IoMT) and telemedicine with focus on wearable devices for continuous vital signs monitoring and remote healthcare delivery systems
Precision Agriculture and Environmental Monitoring:
- Distributed sensing systems for precision agriculture through autonomous sensor networks for continuous monitoring of fruit growth, crop health assessment, and environmental parameter tracking
Automotive:
- Embedded systems for vehicular monitoring through hardware design of rotating parts monitoring systems, addressing architectural and data transmission challenges while exploring BLE and NFC communication solutions
- Development of intelligent automotive sensors with focus on integrating embedded machine learning algorithms for predictive monitoring and behavioral analysis of vehicular components
