The EPIC Lab focuses on the design and optimization of embedded, IoT, and edge computing to realize intelligent, resource-efficient, and dependable cyber-physical systems capable of robust operation in real-world environments. The work centers on hardware/software co-optimized platforms tailored for automotive systems, mobile and wearable devices, indoor navigation, and time-critical sensing and control. A key emphasis is placed on achieving real-time performance, energy efficiency, and security while maintaining system reliability under practical deployment constraints. Through rapid prototyping, experimental validation, and the creation of end-to-end embedded architectures, the lab aims to advance the next generation of smart, connected systems that operate autonomously and resiliently at the network’s edge.
Ongoing Embedded, IoT, and Cyber-Physical Systems Projects:
- Deep Learning for Indoor Localization with Smartphones
- Secure and Real-Time Automotive Network Management
- Deep Learning and Sensor Fusion for Autonomous Vehicle Design
- Deep Learning for Resource Management in Mobile Devices
- IoT for Therapy and Rehabilitation
- Energy Harvesting Real-Time Embedded and IoT Platform Management
- Embedded and IoT System Prototyping