Nancy Arana-Daniel
Nancy Guadalupe Arana–Daniel is a Mexican computer scientist specializing in machine learning approaches including support vector machines and artificial neural networks applied to robot motion planning, computer vision and related problems. Her research has included the development of methods for robots working in disaster response to distinguish human victims from rubble.[1]
Education and career[edit]
Arana-Daniel studied computer science at CINVESTAV in Guadalajara, earning a master's degree in 2003 and completing her Ph.D. in 2007.[2] She is a professor and researcher in the Department of Computational Sciences at the University of Guadalajara.[3][4]
Recognition[edit]
Arana-Daniel is a member of the Mexican Academy of Sciences.[5]
Books[edit]
Arana-Daniel is the coauthor of books including:
- Bio-inspired Algorithms for Engineering (with Alma Y. Alanís and Carlos López-Franco, Elsevier, 2018)
- Neural Networks for Robotics: An Engineering Perspective (with Alma Y. Alanís and Carlos López-Franco, CRC Press, 2019)
- Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time (with Jorge D. Ríos, Alma Y. Alanís, and Carlos López-Franco, Academic Press, 2020)
References[edit]
- ^ "Robots recognize humans in disaster environments", Investigación y Desarrollo, 20 October 2014, retrieved 2023-01-08 – via Science Daily
- ^ "Nancy Arana-Daniel", IEEE Xplore, IEEE, retrieved 2023-01-08
- ^ "Nancy Arana-Daniel", ORCiD, retrieved 2023-01-08
- ^ Arena Daniel Nancy Guadalupe, University of Guadalajara Department of Computational Sciences, 8 May 2013, retrieved 2023-01-08
- ^ Engineering section members (PDF), Mexican Academy of Sciences, 2022, retrieved 2023-01-08
External links[edit]
- Nancy Arana-Daniel publications indexed by Google Scholar
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