José Santamaría

· Universidad de Jaén
29h 指数
11,576总引用
89发文
54i10

简介

Born in Barcelona and residing in the province of Jaén, Spain. Since 2006, he holds a PhD in Computer Science. His research interest is focused on Computer Vision and Deep Learning. His scientific production and lecturer activities began in 2003 and 2005, respectively. He has held different positions as researcher and teaching staff at the universities of Cádiz, Granada, and Jaén. He is Associate Professor at the department of computer science of the University of Jaén since 2016. He is in charge of the "Applied Computational Engineering" Research Group. During more than 20 years of research experience, he has successfully supervised several master degree and PhD students. Moreover, he has participated as principal researcher and team member in more than 10 research projects funded at regional, national and European level (e.g. FP7 Programme). Since 2003, he has published more than 80 scientific contributions, with more than forty papers being accepted by international journals indexed in the JCR database, most of them ranked first quartile (Q1). According to the Scopus platform, his scientific production has accumulated more than 4K citations (H-index and i10-index greater than 20). Also, several of his contributions are considered highly cited papers, with more than 1K citations in some cases. Moreover, he is co-inventor of a patent with international coverage (US20120182294A1). Additionally, he has been awarded with the "IFSA Award for Outstanding Applications of Fuzzy Technology". He actively performs professional tasks as reviewer, guest editor, and editorial board member for several renowned international journals, e.g. Computational Intelligence, Computer Methods and Programs in Biomedicine, among others. He is an exper evaluator for the European Commission. The research group he leads has managed to forge several international collaborations with Indian and Australian academic and research institutions: The Pandit Deendayal Energy University and The Queensland University of Technology, respectively.

研究方向

Robotics and Sensor-Based LocalizationMedical Image Segmentation TechniquesAdvanced Vision and ImagingAdvanced Image and Video Retrieval TechniquesForensic Anthropology and Bioarchaeology Studies

数据来源: OpenAlex + ORCID + Wikidata · 数据质量: verified

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