Welcome to the Laboratory for Computational Learning and Imaging Research (CLIR), in this site you'll find the newest events and information of the lab.
13/12/2025
CLIR Lab would like to congratulate our graduated student Guillermo Reyes Martínez who completed successfully his master degree in Computer Science with a thesis entitled:
"Automatic Coding of Medical Reports Using Deep Learning Techniques".
Supervisors:
• Dr. Anabel Martin-Gonzalez
• Dr. Carlos Brito-Loeza
16/05/2025
Epitopes, also know as antigenic peptides, refers to a region in the proteins that generates an immune system activation. A peptide is a small amino acids chain. Given his structure, epitopes classify between two types: linear and nonlinear.
This project focuses on the detection of linear epitopes, that are composed of a continuum section of the amino acids chain that make up the protein.Classify B cell epitopes could boost the process of designing new vaccines.
28/02/2025
Maestría en Ciencias de la Computación
La Facultad de Matemáticas de la UADY te invita a continuar tus estudios de posgrado en nuestro programa académico de Maestría en Ciencias de la Computación.
El proceso de ingreso 2025 estará abierto hasta el 11 de abril.
Pueden encontrar toda la información en https://tinyurl.com/25x9nvs9 o solicitarla a [email protected]
También te invitamos a participar en la plática informativa que se llevará a cabo el día lunes 10 de marzo a las 18:00 horas.
28/02/2025
Maestría en Métodos Estadísticos
La Facultad de Matemáticas de la UADY te invita a continuar tus estudios de posgrado en nuestro programa académico de Maestría en Métodos Estadísticos.
El proceso de ingreso 2025 estará abierto hasta el 11 de abril.
Pueden encontrar toda la información en https://tinyurl.com/5n7tnb28 o solicitarla a [email protected]
También te invitamos a participar en la plática informativa que se llevará a cabo el día miércoles 12 de marzo a las 17:30 horas.
07/02/2025
CLIR Lab congratulates our student Ángel Adrián Bustillos Sosa for successfully completing his bachelor degree this evening with the thesis entitled "Epitopes classification using a machine learning hybrid method".
Supervisors:
Dr. Anabel Martín González
Dr. Gilma G. Sánchez Burgos
06/11/2024
CLIR Lab members participated on the 5th International Symposium on Intelligent Computing Systems - ISICS 2024, held in Dubai, United Arab Emirates on November 6, with the paper entitled "Convolutional Neural Networks for the Classification of Comet Assay Cells" by I. Rizo-Blanco, A. Martin-Gonzalez, C. Brito-Loeza, Legarda-Saenz, Espinosa Romero, L. Lafon-Hughes from Computational Learning and Imaging Research, Universidad Autónoma de Yucatán, Mexico and CENUR LN, Universidad de la República, Uruguay.
https://isics.cedai.cl/2024/
18/09/2024
CLIR Lab would like to congratulate our graduated student Daniel Brito Pacheco who completed successfully his master degree in Computer Science with a thesis entitled:
"Segmentation of HeLa cells using persistent homology".
Supervisors:
• Dr. Carlos Brito Loeza
• Dr. Carlos Reyes Aldasoro
15/03/2024
On Tuesday, March 12th, CLIR Lab hosted the International Networking Workshop on AI and Computational Image Analysis 2024 (Emerging Trends in Vision, Perception, Interaction and Beyond) along with ARCADE Lab (Johns Hopkins University), CIMAT, UNAM-Sisal and ArBio Group (IIMAS-UNAM). We shared up-to-date reseach projects developed by members in these groups. We had a great time!
12/03/2024
The CLIR Lab invites you to join the Master program in Computer Science from the Facultad de Matematicas at UADY. Admissions will be open from March 4th to April 29th, 2024. Informational talks will take place on March 25th and April 15th (place and time to be defined).
CLIR members support the Intelligent Systems research field on this Master program. You are welcome to be part of our CLIR Lab master students!
01/03/2024
Yucatan boasts a diverse array of melliferous plant species, resulting in high-demand honey internationally. Accurate analysis of honey's pollen grains is crucial for quality assessment and plant origin identification, traditionally conducted by skilled palynologists. This study introduces an enhanced model, employing a fully convolutional neural network, to automate pollen grain detection in microscopic images of four Yucatan plant species. The aim is to aid in the analysis of honey's origin designation.
Miguel Ángel Canul-Chin, Yolanda Beatriz Moguel-Ordóñez, Anabel Martin-Gonzalez, Carlos Brito-Loeza, and Ricardo Legarda-Saenz.
| Lunes | 8am - 6:30pm |
| Martes | 8am - 6:30pm |
| Miércoles | 8am - 6:30pm |
| Jueves | 8am - 6:30pm |
| Viernes | 8am - 6:30pm |