NESTNext-generation Embedded Systems Research LabJoin the lab ↗
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Projects

From research question to working system.

Our projects pair rigorous methods with practical software, hardware, and experimental evidence.

Unmanned aerial vehicle flying above a landscapeActive

UAV Autonomy & Health Monitoring

LLM-assisted parameter mapping, real-time fault detection, and dependable deployment for unmanned aerial platforms.

Autonomous systemsEdge AIFault detection
Connected smart-energy infrastructure at duskActive

Intelligent Grid & BESS Integration

Embedded optimization, real-time analytics, and digital-twin methods for resilient energy infrastructure.

Smart energyIoTDigital twins
AI-assisted embedded DevOps pipeline linking code, testing, hardware, and deploymentActive

ESOps: AI-Driven Embedded DevOps

A next-generation pipeline for feature discovery, testing, and certification-ready embedded software delivery.

DevOpsLLMsSafety assurance
Feature-model extraction transforming legacy code into reusable software modulesAward-winning

FeaMod

Automated feature-model extraction that improves modularity, adaptability, and code reuse in legacy embedded systems.

Software reuseStatic analysisFeature models
Connected infrastructure representing vehicular edge computingCompleted

Fog-Based Vehicular OTA Updates

Machine-learning-guided fog resource allocation for faster, scalable software updates in connected vehicles.

Fog computingOTAConnected vehicles
Embedded automotive controller undergoing real-time anomaly and safety testingCompleted

Automotive CAN Anomaly Detection

Deep-learning-based real-time anomaly detection and functional testing for in-vehicle communication.

AutomotiveTestingMachine learning