Patent & publications
Research
Event-based computer vision, IoT sensing for emergency response and low-power wearable electronics, carried out at UPM, IMDEA Materials and TU Dortmund.
- Patents
- 1
- Papers
- 3
- Institutions
- 3
Patent
Communicated system for detecting impacts and the status of an individual
P202331053A portable, low-power device and accompanying system that detects impacts and monitors the status of the person wearing it, using capacitive fabric sensors and a communications link for alerting. I developed both the hardware prototype and the system architecture.
Master’s thesis
Event-Based Prediction Model for Multiple Objects and 3D Annotations in Logistics Scenarios
A self-supervised learning approach to predicting multiple logistic objects and their 3D annotations directly from event-camera data, combining NeRF-inspired 3D modelling with LLM-assisted segmentation to make dataset creation dramatically cheaper.
- +6.3 mAP
- Object detection over the baseline
- 90%
- Reduction in annotation storage
Published papers
Wi-Fi/LoRa communication systems for fire, seismic-risk mitigation and health monitoring
Communication architectures for emergency-response sensing, developed in collaboration with the Materials Research Institute of Madrid. Covers triboelectric nanogenerator (TENG) sensing, low-power radio links and structural health monitoring.
Geolocation and support electronic device for the humanitarian-military field
The work that led to patent P202331053: a low-power geolocation and support device designed for humanitarian and field conditions, covering sensor design, wireless communication and power budgeting.
Interests
Current research interests
Event-based and 3D vision, self-supervised learning, and agentic systems under real-world constraints. Open to industrial research collaboration alongside professional work.