01
Trustworthy & causal machine learning
Drift diagnosis, causal attribution, targeted repair of deployed models, and guarantees on where a failure originates.
driftcausalityattribution
Research
What if machines could explain themselves?
When one of our models fails, it can tell you where and why. Our networks sense their environment and adapt on the fly. Our drones find their own way. We build systems with a kind of self-awareness — and every project here starts with a question nobody has answered yet. Maybe yours.
Project
CADI · Causal Attribution for Drift Intervention
When a deployed model starts failing, something in the world has changed — but usually many things changed at once, and only one of them matters. CADI is a monitoring system that identifies which change is actually hurting the model, and repairs only that one. Without labels, and without ever making the model worse.
Research areas
02
Next-generation wireless networks
MAC and routing protocols, resource allocation, and spectrum access for dense, heterogeneous, and cognitive radio networks.
MACroutingspectrum
03
UAV localization & aerial networks
Positioning and trajectory planning for aerial platforms used as mobile sensors and as flying relays for ground networks.
localizationUAV relays
04
Security for IoT & smart infrastructure
Federated and learning-driven intrusion detection, anomaly detection at the edge, lightweight cryptography for constrained devices, and quantum-resistant consensus for distributed sensing.
federated learninganomaly detectionlightweight crypto
05
Deep learning for health & vision
Multimodal medical imaging — from silicosis detection on radiographs to physiological signal estimation such as respiratory rate and cuff-less blood pressure, with calibrated uncertainty.
medical imagingbiosignalsuncertainty
06
Intelligent optimization & metaheuristics
Nature-inspired optimizers and their enhanced variants for global optimization, feature selection, and model tuning — the search engines behind many of our learning systems.
metaheuristicsglobal optimizationfeature selection
Resources & code
coming soonCode releases accompanying our papers will appear here.
github.com/…Datasets and benchmarks.
coming soonTools, demos, and tutorials.
coming soon