Laura Cleofas Sánchez

Ph.D. in Computer Science 

Institution

Tecnológico de Estudio Superiores de Tianguistenco

Introduction

Laura Cleofas-Sanchez obtained the grade of PhD in Computer Science in the CIC-IPN, Mexico. She performed her postdoc at the JAUME I University, Spain. Her areas of interest are artificial intelligence, data mining, neural networks, deep learning, smart cities, Internet of the Things, analysis of genomics datasets, biometric recognition, among others.  She has evaluated some articles national e international such as IEEE Access, IEEE Latin America Transactions and APPLIED Soft Computing (2017-2018-2019); just as she has been an evaluator of the 3 th and 4 th the Mexiquense Congress, and of the 14 th CORE Congress. She has evaluated projects of the program called EDIFT of CONACYT, Mexico. Her areas of interest are artificial intelligence, data mining, neural networks, deep learning, smart cities, Internet of the Things, analysis of genomics datasets, biometric recognition, among others. She is a member in both the National System of Researchers of Mexico and the RCEA de CONACyT of Mexico.

Disciplines

• Artificial Intelligence
• Artificial Neural Network
• Data Mining

Skills and expertise

• Pattern Recognition
• Data Mining
• Advanced Machine Learning
• Neural Networks
• Genetic Algorithm
• Artificial Intelligence
• Artificial Neural Networks
• Software Engineering
• Computational Intelligence
• Data Science
• Machine Learning
• Pattern Classification
• Evolutionary Algorithms
• Soft Computing
• Evolutionary Computation
• Support Vector Machine
• Classification
• Algorithms
• Neural Networks and Artificial Intelligence
• Big Data
• Big Data, Computer Vision,   Lenguaje Natural

Some of them are found in:

https://orcid.org/my-orcid?orcid=0000-0002-6666-0461  

Google scholar:

https://scholar.google.com.mx/citations?user=qCfFteEAAAAJ&hl=es

Scopus

https://www.scopus.com/authid/detail.uri?authorId=55937466100

ResearchGaTe

https://www.researchgate.net/profile/Laura-Cleofas