Artificial intelligence, robotics, swarm intelligence and autonomous systems engineer

Bioínspired decentralised swarm intelligence for heterogeneous teamin in Safe and Rescue (SAR) and disaster release operations. Literature review, algorithm implementation and simulation, validation and verification.

Full development of a semi-autonomous swarm of UAV within an inter-university competition with 10k GBP budget allocation.

I had the pleasure to work alongside 11 students as the team leader and head of Situational Awareness department.

Artificial Intelligence algorithms such as YOLOv3 and tiny-YOLOv3 were used for object detection and tracking. Guidance Navigation and Control through DGPS, and System integration with ROS were some remarkable employed technologies.

Durected a group of 16 industrial engineering students throughout their Statistics and Probability 3rd year Subject.

Performed an initial business plan, dealing and organising technical and human resources on a military surveillance UAV project. A wind tunnel, an autoclave and maintenance techniques were three remarkable requirements, among others.

Revised and evaluated basic electronics and wire connections in an assembly within high-speed train (TAV).

Analysed and resolved a real aerodynamic issue with regard to one TAV Wi-Fi antenna.

Reviewed basic space electronic devices while managing a storage data base.

Modules: Introduction to Unmanned Aircraft Systems, UAS Dynamics and Control, UAS Modelling and Simulation, Sensor Fusion, Guidance and Navigation for UAS, Artificial Intelligence for Autonomous Systems, Autonomous Vehicle Control Systems, Logic and Automated Reasoning.

Group Design Project: ‘BAE UAV Swarm Challenge’. Full development of a semi-autonomous swarm of UAV within an inter-university competition sponsored by BAE Systems. Artificial intelligence algorithms such as YOLOv3 and tiny-YOLOv3 were used for object detection and tracking. Guidance Navigation and Control through DGPS, and System Integration with ROS were some of many employed technologies.

Individual Thesis: ‘Bio-inspired decentralised swarm intelligence for heterogeneous teaming in SAR and disaster release operations’, in collaboration with BAE Systems. Reviewed optimisation algorithms such as ACO, Flocking, PSO, bee and bacteria foraging and Local Information Consistency Assumption.

Modules: Fundamentals of Space Engineering, Flight Mechanics and Orbital Mechanics. Production and Aerospace Design, Aerospace Materials, Design and Construction of Airports, Rocket Combustion and Propulsion, Aerospace Vehicles (Hons), Radiofrequency and Communication Systems, Propulsion Systems for Aircrafts, Air Transport and Navigation Systems, Aircraft and Aerospace Vehicle Project Direction.

Speciality: Aerospace Vehicles

Modules: Aerospace Vehicles, Fluid Mechanics, Structural Theory, Aerodynamics, Helicopter and Aircraft Design, Manufacturing Technology and Maintenance, Entrepreneurship, UAV Research & Development, UAV Research & Development Project (Hons), High Performance Computing for Aerospace Engineering.

Individual Thesis at Beijing University of Aeronautics and Astronautics (Hons): ‘Landing Marks Recognition and Location through Image Processing’. Creation of a Matlab code able to read, process, extract and locate landing marks from real video data provided by a drone. Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) are two Machine Learning techniques utilized to accomplishment of project.