Winners & Finalists

Find below the winners and finalists of the 4th edition of AIIA


Academy Winner

Passive Backscatter Sensors for Internet of Things applications

Ricardo Correia – Universidade de Aveiro

This project consists of the development of battery-free sensors charged by wireless power transmission, which transfer the data by backscatter communication (it uses one frequency for transferring data and one frequency for receiving energy from transmitters). The passive sensor allows to collect and transfer data continuously, whenever requested by the reader.

ARGIS – Augmented Reality for Geographical Information Systems

Tiago Ferreira Alves – Instituto Politécnico de Castelo Branco

ARGIS (Augmented Reality for Geographical Information Systems) is a mixed-reality holographic GIS application where the utility assets appear in the field of view as 3D holograms. It allows an improvement from 60% to 80% in the required time for asset location, validation and update.


Pedro Marcelino – Instituto Superior Técnico
Juan Pablo Correia – Universidade do Algarve

The project CityMetric uses IoT devices, such as drones and smartphones, to collect asset data and feed an artificial intelligence powered cloud system that monitors the infrastructures, predicts their future condition, and supports decision-making on maintenance activities. The result is a frictionless digital platform that provides a centralized view of assets performance, improves their condition assessment and extends its lifespan, thus contributing to solve the problem of civil infrastructure asset management.


Startup Winner

C-mo: the revolutionary cough-monitoring wearable

C-mo Medical Solutions

C-mo is a novel wearable cough monitor that will revolutionise: How we conduct the diagnosis of cough incident diseases (respiratory & gastroesophageal); The way we monitor the progression of predominantly respiratory conditions (such as asthma, COPD, COVID-19, etc.), and chronic patients; How we test the efficiency of therapies rolled out.



AquaInSilico develops unique operational tools that allow wastewater facilities to control key performance indicators in real-time, as well as it developed unique digital tools for the optimisation of biological treatment processes. Its main goal is to recover critical materials from waste to new bio-based products.



Project N9ve.REE+Li aims to research and develop technologies and processes for the removal, concentration, and recovery of REE+Li from contaminated waters and aqueous solutions, using biosorption from live saline macroalgae. This is to be achieved using simple, low-cost, and environmentally friendly procedures in accordance with circular economy and sustainable development concepts.