Research
Research Projects
Explore cutting-edge research projects, scientific publications, ongoing discoveries, and indexed publications in Artificial Intelligence and Internet of Things
Multimodal Spatio-Temporal Early Warning of Desert Locust Breeding Zones
Develop an explainable and probabilistically calibrated multimodal spatio-temporal model to anticipate desert-locust breeding zones from climate and s...
Uncertainty-Aware Edge AI for Chest Radiograph Screening in Primary Care Settings
Develop an edge-deployable chest-radiograph pre-screening model that detects out-of-distribution cases and explicitly refers uncertain images to a rad...
Edge AI and Causal Attribution for Cold-Chain Integrity in Agri-Food Export Corridors
Detect cold-chain violations in real time using onboard sensors and identify the most likely causal mechanism behind thermal excursions along export c...
Voice-First Agentic RAG Advisory in Moroccan Darija for Smallholder Farmers
Develop a voice-first agricultural advisory agent in Moroccan Darija, grounded through retrieval over authoritative agronomic sources and designed to...
Safe Reinforcement Learning for Deficit Irrigation Scheduling under Water Scarcity
Optimize controlled deficit-irrigation scheduling using constrained reinforcement learning by coupling an agronomic digital twin with field sensors.
Parameter-Efficient Adaptation of Earth Observation Foundation Models for Smallholder Crop Mapping
Evaluate and adapt Earth observation foundation models for field-boundary and crop-type mapping in fragmented smallholder landscapes under severe labe...
Cross-Region Federated Edge Vision for Olive and Citrus Disease Detection under Domain Shift
Design an embedded plant-disease detection system for olive and citrus crops, trained through federated learning across multiple farms and robust to d...
Evidence-Grounded LLM Copilot for SOC Alert Triage with Controlled Abstention
Design an LLM-based security operations copilot that explains and prioritizes alerts only when its conclusions can be traced to source logs, and that...
Drift-Resilient and Adversarially Robust Federated Intrusion Detection for Industrial IoT
Investigate the joint resilience to concept drift and adversarial manipulation of a federated intrusion-detection system deployed on resource-constrai...