DroneComp Research Group

Our research group conducts high-level research on the design and development of computer systems and computational methods for the next-generation air transportation system.

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DroneComp Research Group

Research fields

We study computer science fields related to the cyber-physical system of drones.

Computational Economics

Tradable Mobility Permit Market
Agent Based Market Simulation

Embedded Systems

Reconfigurable computing
Real-time systems
Formal model-based design
Domain-specific architectures

High Performance Computing

Parallel Computing

Mobile Robotics

Artificial Intelligence
Control Systems
Sensor Fusion


Agent-Based Modeling
Complex Networks
Complex Systems

Software Engineering

Quality Assurance
Requirements Engineering
Information Systems


Multi-Sensor Wildfire Prediction

We aim at creating a data collection system capable of dealing with multiplatform and multi-sensor (multispectral imaging, humidity, temperature, and others) data to build artificial intelligence models to predict wildfire risk in a coverage area.

Autonomous Search System

Objectives: Demonstrate aerial autonomous search and rescue systems (manned/unmanned), using image-based Automatic Target Search System. Means of pattern recognition, perception, reasoning, decision-making, and machine learning combining available resources for situation assessment and action on Search and Rescue missions.

Multi-Sensor Image Based Navigation

Aerial navigation in GNSS contested environments is a challenge for both manned and unmanned aircraft. This research project aims to study and develop technologies and algorithms to address the problem of aerial navigation without relying on GNSS, focusing on a specific image-based navigation with multi-sensor fusion in order to get a precise localization of the aircraft.

A Cyber-Physical System Roadmap to Last-Mile Delivery Drones

A cyber-physical system’s roadmap propose applicable for last-mile delivery drones.


Our research is supported by