基本信息
views: 13
Career Trajectory
Bio
Pedro Javier Herrera holds a BSc, MSc and PhD degrees in Computer Science from the Complutense University of Madrid (UCM) in Spain. He has been involved in teaching activities and research at UCM, the Centre for Automation and Robotics (CAR, joint centre for shared ownership between the CSIC and UPM), and the Francisco de Vitoria University (UFV), and collaborations with the International University of La Rioja (UNIR). He has conducted research stays at the National Institute of Agricultural and Food Research and Technology (INIA), and the Freie Universität Berlin (FU-Berlin). He is currently an Associate Professor of Computer Science at the National Distance Education University (UNED).
He has worked with various organizations and research centers (CAR-CSIC, ICA-CSIC, IAS-CSIC, CIFOR-INIA, FTW, IRSTEA), universities (UCM, UPM, UNED, UC3M, URJC, UAH, FU-Berlin, IPN, UdeG, UP, UF) and companies (Enagás, Dimap, Agrosap, CNH, AirRobot, Cyberbotics, Bluebotics, CogVis, CM, Tropical), through international and national projects, and contracts with companies. As a result, numerous publications in journals, books and conference proceedings.
His main research activities are in the fields of Computer Vision, Image Processing, Pattern Recognition, Machine Learning and Cognitive Robotics. Coauthor of the book "Deep Learning" ("Aprendizaje Profundo", spanish edition), published in 2021 by RC Libros, his current line of research includes the study and development of deep learning models and its application to computer vision problems, natural language processing and time series forecasting. His interests are also directed towards continuous training and teaching innovation.
Research Interests
Papers共 42 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
MATHEMATICSno. 1 (2023): 224-224
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIESno. 6 (2023): 926-939
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn