As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.

Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).

In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

Syncronicity project IEEE Internet of Things Journal

Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa

Conference Paper for the Global IoT Summit 2019 (GIoTS) in Aarhus, Denmark.

In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.