Lionel Cervera Gontard

Lionel Cervera Gontard is ASECTI Researcher in Computer Vision at the University of Cadiz, Spain and belongs to the research group GOAL (Graphics, Optimization and Learning). He holds a degree in Physics (University of Seville, Spain), and an MsC in Micro- and Nano-electronics (Center for Microelectronics of Seville, Spain). In 2007 he got a PhD from the University of Cambridge (United Kingdom) on the application and development of 2D and 3D image processing techniques for electron microscopy. He has carried out postdoctoral stays in Denmark with an HC Oersted Fellowship on electron tomography, and at the University of Oxford working on image sensors for ionizing radiation. Nowadays, his research interest focus on the development of 3D techniques (tomography, photogrammetry) for the characterization of nanomaterials and for medical imaging analysis. He has published over 45 scientific publications and patents and leads several projects and PhD students on pixelated sensors, non-contact monitorization, and medical image processing using AI.

More about

The University of Cadiz was founded in 1979 and currently hosts more than 1,100 researchers and over 20,000 students per year, offering more than 100 degrees, ranging from graduate to official master’s degrees in all fields of learning. The research and innovation activities are one of the pillars of the UCA. There are 169 research teams divided into 9 main areas. UCA leads the “Campus De Excelencia Internacional Del Mar” (CEIMAR), a campus whose mission is to become an international reference in teaching and research in marine themes including the Science, Engineering and Humanities (a strategic alliance of universities, research centres, science and technology parks and innovative companies of the South of Spain, Portugal and the North of Morocco). Moreover, UCA is member of the Agri-food Campus of International Excellence. The UCA has seven research institutes. The UCA plays a prominent role in 5 public-private European Partnerships underlining its main role in the Blue Growth initiative.
Researchers involved in PARENT belong to four different research groups from Departments of Informatics. Three of the group are from UCA, namely, GOAL (Graphics, Optimization and Learning), SIC (Intelligent systems for computation) and MIS (Intelligent System Modelling), and a fourth group from the University of Burgos, GICAP (Applied Computational Intelligence). These groups are very active both in academia and in technology transfer with companies on fields related to artificial intelligence, such as machine learning, optimization, pattern recognition, connectionist/neural models, data mining, NLP, projection/visualization and dimensionality reduction methods, and hybrid intelligent systems. They are also deeply involved on applied computer vision and image sensors and more recently, on cutting-edge technologies such as Blockchain and IoT.

Role in PARENT

UCA will lead SO4: Computational Modelling to predict ncRNA NDD association. It will also host ESR5, ESR6 and ESR7:

· Monitoring and Integrating Neonates Behavioral and Physiological Parameters.

· Hybrid Neuroimaging and Electric Signals Integration by Artificial Intelligence.

· Machine Learning to identify significant biomarkers for early diagnose of NDD in premature infants.

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