{"id":8379,"date":"2023-11-29T10:22:00","date_gmt":"2023-11-29T10:22:00","guid":{"rendered":"https:\/\/www.iuma.ulpgc.es\/?p=8379"},"modified":"2024-04-19T15:39:28","modified_gmt":"2024-04-19T15:39:28","slug":"d-carlos-vega-doctorando-del-iuma-dentro-del-programa-de-doctorado-t2ic-realiza-una-estancia-de-investigacion-en-optomic-spain-s-a","status":"publish","type":"post","link":"https:\/\/www.iuma.ulpgc.es\/en\/d-carlos-vega-doctorando-del-iuma-dentro-del-programa-de-doctorado-t2ic-realiza-una-estancia-de-investigacion-en-optomic-spain-s-a\/","title":{"rendered":"Carlos Vega is on a research stay at OPTOMIC Spain S.A."},"content":{"rendered":"
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Carlos Vega<\/a>, PhD student at the Institute for Applied Microelectronics (IUMA)<\/a> as part of the Doctoral Programme in Telecommunication Technologies and Computational Engineering (T2IC)<\/a> of the University of Las Palmas de Gran Canaria (ULPGC<\/a>), is currently on a research stay at the company OPTOMIC Spain S.A<\/a>.<\/p>\n\n\n\n

This collaboration focuses on the investigation of optical technologies in the medical field, seeking to integrate hyperspectral imaging technology into devices designed for clinical use, specifically colposcopes and clinical microscopes. During the PhD student's research stay at Optomic, an advanced hyperspectral illumination system is being implemented, adapting the LCTF filtering technology (Liquid-Crystal Tunable Filter<\/em>) to optimise imaging over a wider spectral range, from 400 to 1100 nm. This research aims to evaluate new capture strategies and is studying the application of novel broad spectrum illumination LEDs in hyperspectral illumination systems, which will reduce the cost and size of future systems. In addition, specific software is being developed for the management of the new functionalities that will allow the medical use of these systems. This new collaboration between OPTOMIC and the IUMA aims to take the first steps towards the introduction into clinical practice of new diagnostic methods that are faster, more precise and less invasive for patients.<\/p>\n\n\n\n

PhD student Carlos Vega is a telecommunications engineer specialising in electronic systems. He completed his degree at the University of Las Palmas de Gran Canaria (ULPGC) between 2016 and 2020. He then continued his studies at the same university with a master's degree in applied electronics and telecommunications, which he completed in September 2021.\nThroughout his career, he has gained valuable experience working on a wide range of projects. He has hands-on expertise in developing IoT solutions, electronics manufacturing, deep learning, FPGAs, mobile apps, and 3D printing. Additionally, he has been honored with several academic awards, including the 2020 \"Future of Telecommunications\" prize for electronic systems.\n\n Currently, he is developing his doctoral thesis: \"Classification and Diagnosis of Heterogeneous Data Sources Using Artificial Intelligence with Probabilistic Approach and Real-Time Constraints\"<\/strong>. \nTo carry out her research she has received a pre-doctoral contract provided by the Agencia Canaria de Investigaci\u00f3n Innovaci\u00f3n y Sociedad de la Informaci\u00f3n (ACIISI)<\/a> of the Government of the Canary Islands. This stay is supported by grants provided by the Regional Ministry of Universities, Science and Innovation and Culture, as well as the European Social Fund Plus, in the framework of the official Canary Islands PhD programme T2IC. This financial commitment underlines the strategic importance of such international collaborations for the advancement of research and academic development in the region.<\/p>\n\n\n\n

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