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.
We study computer science fields related to the cyber-physical system of drones.
Tradable Mobility Permit Market
Agent Based Market Simulation
Reconfigurable computing
Real-time systems
Formal model-based design
Domain-specific architectures
Algorithms
Optimization
Parallel Computing
Artificial Intelligence
Control Systems
Sensor Fusion
Agent-Based Modeling
Complex Networks
Complex Systems
Certification
Quality Assurance
Requirements Engineering
Information Systems
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.
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.
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’s roadmap propose applicable for last-mile delivery drones.
Meet our Research Partners