Our best wishes for Christmas and a 2023 full of projects.

The solemn opening ceremony of the 2022-2023 academic year had Jordi Garcés as its protagonist. The professor of the Universitat de València has been invested as doctor honoris causa. The ITACA Institute of the UPV proposed his appointment, and the researchers Antonio Mocholí and Vicente Traver were his sponsors.

The first test flights were conducted to validate the separation management concept for UAS proposed by BUBBLES project.

The traffic and variety of personal mobility vehicles (PMV) has grown exponentially in recent years. A study by the MAPFRE foundation estimates that around 1,200,000 people use electric scooters and bicycles daily in Spain. However, despite the emergence of these new forms of mobility, there are still no systems to monitor and control their use accurately and efficiently, which has a negative influence on traffic management, new forms of mobility and, finally, on road safety.

Now, the Traffic Control Systems team of the ITACA Institute, belonging to the Universitat Politècnica de València, has designed, developed and validated the first road sensor adapted to personal mobility vehicles.

CollectionCare aims to develop an innovative preventive conservation (PC) decision support system targeting the needs of small to medium-sized museums and collections. It will integrate IoT monitoring of the environmental conditions of each cultural artefact individually at any location, whether on display or in storage, handling or transport, integrated with multi-scale modelling for the different artefact materials while complying with current PC norms and recommendations.

Our best wishes for Christmas and a 2022 full of projects. Please stay safe.

ITACA’s Biomedical Data Science Lab (BDSLab) of Universitat Politècnica de València (UPV) has developed a new mobile application that facilitates continuous monitoring of the quality of life of cancer patients.
 
This app, called Lalaby, allows the monitoring of the patients’ day-to-day life. It does so from the information collected by the sensors of their mobiles and from other sources stored in them that allow calculating their physical activity (movement and displacement), social interaction (voice frequencies) and activity on the network (amount of data used).
 
Source: UPVTV

The medical imaging area (IBIME-MI) of the ITACA institute has been working for the last 20 years in the processing and analysis of medical images, with special emphasis on magnetic resonance images of the human brain.
 
IBIME-MI has developed and transferred many state-of-the-art methods for quantitative neuroimaging. Volbrain is an online system for automatically analyzing MRI brain data to provide volumetric information of different brain structures. It has already been used to analyze more than 300,000 brains worldwide from almost 2,000 different universities and hospitals.
 
Currently IBIME-MI is focused on developing new deep learning methods for brain analysis with special interest both in normal brain development and in different pathological conditions such as Alzheimer’s or Parkinson’s disease, among others.

The group SEN (Smart Electronics and Networks) from ITACA institute has extensive experience in the design and implementation of intelligent monitoring and control systems, the development of hardware devices, their embedded applications, and their integration through various communication technologies in Cloud IoT platforms.
 
SEN experience covers multiple fields, among which we can mention smart cities, environmental care, green energy, smart hospitals, underwater deployments and high reliability embedded systems applied to multiple areas, such as electronic injection systems for heat engines, mechatronics, drones, and other electronic systems.
 
SEN firmly believes that these advances in technology result in great benefits for society, helping to achieve the Sustainable Development Goals proposed by the United Nations.

ITACA’s Microwave Area (DIMAS) is dedicated to scientific and applied research, technological development and technology transfer initiatives in the field of microwave engineering.
 
DIMAS’ main research lines focus on numerical modelling, design of microwave circuits and components, microwave measurements, non-invasive microwave sensors, and the use of high-power microwaves for materials processing.
 
For example, DIMAS applies microwaves in electrochemical applications to produce green hydrogen.