Dra. ALMA YOLANDA ALANÍS GARCÍA
Resumen curricular:
Alma Yolanda Alanís García es Profesor-Investigador y Directora de la División de Tecnologías para la Integración Ciber-Humana del Centro Universitario de Ciencias Exactas e Ingenierías de la Universidad de Guadalajara. También es miembro del Sistema Nacional de Investigadores en el Nivel 2 y miembro de la Academia Mexicana de Ciencias desde 2017. Cuenta con reconocimiento perfil deseable PRODEP desde 2010. Tiene la distinción “Senior Member” de la IEEE. En 2013 recibió la beca para las mujeres en la ciencia por parte de L’oreal-UNESCO-AMC-CONACYT-CONALMEX y en 2015 recibió el premio “Cátedra Marcos Moshinsky” por parte del Instituto de Física de la UNAM, la fundación Marcos Moshinsky y el CONACYT. Ha realizado diversas publicaciones en casas editoriales de reconocido prestigio internacional incluyendo ocho libros. Actualmente es editor de tópico del “Journal of Franklin Institute”, Editor técnico del ASME/IEEE Transactions on Mechatronics y Editor Asociado de: IEEE Transactions on Cybernetics, PeerJ Computer Sciences y del “Intelligent Automation & Soft Computing”, todas revistas indexadas en el JCR. Sus intereses de investigación son: modelado y control usando técnicas de inteligencia artificial, así como su aplicación a sistemas eléctrico, robóticos, mecatrónicos y biomédicos.
Enlaces
Perfil de Investigador SNII:
Perfil PRODEP:
Bases de datos bibliográficas:
Publicaciones del académico:
- Formation Control with Area Constraints for Omnidirectional Mobile Robots
- Adaptive Outer-Loop Neural PID Control for Quadcopters Trained with EKF in a HIL Environment
- Advances in Hollow Fiber Membranes Simulation for Multicomponent gas separation: Combining Physical Models and Neuro-Fuzzy Systems
- Autoencoder with Differential Evolution Approach for Sensor Fault Detection in Robotic Manipulators
- Convolutional Neural Networks for Robust Time Series Cleaning and Filtering
- Deep Learning Approach for Fault Identification of Contact Reliability for Electrical Test Connectors in Testing Environments
- Drivers Attention Detection Based on Quantized Convolutional Neural Network
- Evaluating the performance of a hybrid machine learning method for modeling evapotranspiration
- Failure Detection in Continuous Glucose Monitors Using Transformers
- Identification of agricultural irrigation model via differential neural networks
- Modifying the synthesis of the soft margin optimal hyperplane for support vector machines
- Multispectral Imgae-Based Binary Classification of Avocado Leaves´ Vegetative Health Using Vegetatiton Indices and Convolutional Neural Networks
- Neural Identifier Training with Particle Filters
- Neural Network-Based Digital Twin for Hypertension Simulation
- Neural network for automatic emotion classification using virtual environments
- State-of-the-art of Imagined Speech: Analysis in Basic Needs, Syllables and Commands for Brain-Computer Interfaces
- VigilEye: System for Prevention of Accidents Caused by Changes in State of Alertness while Driving
- Within-subject vs Multi-Subject Eye Movement Classification: A Comparative Study
- Mathematical and Neuro-Fuzzy Modeling of a Hollow Fiber Membrane System for a Petrochemical Process
- Online Imputation of Corrupted Glucose Sensor Data Using Deep Neural Networks and Physiological Inputs
- Modified Soft Margin Optimal Hyperplane Algorithm for Support Vector Machines Applied to Fault Patterns and Disease Diagnosis
- Phymastichus–Hypothenemus Algorithm for Minimizing and Determining the Number of Pinned Nodes in Pinning Control of Complex Networks
- Artificial Intelligence Innovations for Biomedical Engineering and Healthcare
- Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation
- Bi-layer energy management framework based on neural networks for multi-microgrid systems
- Vertex-Weighted Consensus-Based Formation Control with Area Constraints and Collision Avoidance
- Exploring Kalman Filtering Applications for Enhancing Artificial Neural Network Learning
- Sistemas dinámicos. Caracterización y análisis
- Sistemas dinámicos. Caracterización y análisis
- Sistemas dinámicos. Caracterización y análisis
- Sistemas dinámicos. Caracterización y análisis
- Sistemas dinámicos. Caracterización y análisis
- Impresión 3D con software libre
- Sistemas dinámicos. Caracterización y análisis
- Sistemas dinámicos. Caracterización y análisis
- Intelligent Robust Controllers Applied to an Auxiliary Energy System for Electric Vehicles
- Advances in the Kinematics of Hexapod Robots: An Innovative Approach to Inverse Kinematics and Omnidirectional Movement
- Finite time convergent recurrent neural network for variational inequality problems subject to equality constraints
- Fault-Tolerant Closed-Loop Controller Using Online Fault Detection by Neural Networks. Machines 2024, 12, 844
- Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment
- A Complex Network Epidemiological Approach for Infectious Disease Spread Control with Time-Varying Connections
- Fault-Tolerant Closed-Loop Controller Using Online Fault Detection by Neural Networks
- Semantic Segmentation to Identify Enemies in First-Person Shooters
- Innovación aplicada en proyectos tecnológicos
- Advances in the Kinematics of Hexapod Robots: An Innovative Approach to Inverse Kinematics and Omnidirectional Movement
- Constrained Binary Optimization Approach for Pinned Node Selection in Pinning Control of Complex Dynamical Networks
- Intelligent Classification and Diagnosis of Diabetes and Impaired Glucose Tolerance Using Deep Neural Networks
- Edge-Weighted Consensus-Based Formation Control with Collision Avoidance for Mobile Robots Based on Multi-Strategy Mutation Differential Evolution
- Model-Free Neural Fault-Tolerant Control for Discrete-Time Unknown Nonlinear Systems
- Model-Free Neural Fault-Tolerant Control for Discrete-Time Unknown Nonlinear Systems