Alfonso Gastelum Strozzi studied physics at the University of Guadalajara and later completed his master’s studies at the National Autonomous University of Mexico in the area of Medical Physical Sciences where he completed his first studies in the modeling of biological tissue.

In 2012 he completed his PhD in Computer Science at The University of Auckland in New Zealand. During the same year he joined the laboratory Intelligent Vision System New Zealand led by Dr. Patrice Delmas where he carried out a private development project for the company Alcatel de France in the area of Computer Vision.

At the end of 2012 he made a six-month postdoctoral stay at the “Laboratoire d’étude des Transferts en Hydrologie et Environnement” in Grenoble, France by Dr. Celine Duwig, where I develop the methods and algorithms necessary for the simulation of flows in porous media, with applications in soil models.

In 2013 Dr Gastelum made a second postdoctoral stay at ICAT, National Autonomous University of Mexico, Mexico in the Laboratory of Image Analysis and Visualization by Dr Jorge Marquez, where I carry out studies in morphology and shape topology.

He is currently an academic technician in the Research Unit of the General Hospital of Mexico Dr Eduardo Liceaga in charge of the ICAT and part of the group of Biomedical Devices where he develops solutions to problems in the medical and archaeology area using methods of the computer sciences and physics area.

He specializes in big data management, biostatistics and phenomenon modeling and simulation, and developing solutions using computer vision techniques and image analysis.

Its lines of work focus on the development of simulation methods, models and engines for the study of data of different diseases and populations using syndemic methods, as well as the development of computer vision techniques, virtual and augmented reality, as well as video game engines for the acquisition, processing and analysis of medical and archaeological data.

Dr. Alfonso Gastelum has 21 articles in indexed journals, 1 book chapter and 32 articles in international conferences.

In his teaching and tutoring activities, he has directed 16 master’s thesis and currently directs 4 PhD students, 4 master’s degrees students and 4 social service students.

In its relationship with the national and international scientific community it is part of the GLADERPO and EULAR study groups.

• Cloud data systems
• Big data biostatistics and disease syndemics
• AI applied to the data modelling 
• Model and simulation of physical phenomena
• Image processing and morphology
• Computational graphing
• Computer vision

• Cloud Syndemics Study System: Development of a new cloud system for managing massive disease data with applications to syndemic problems.
• Development of the second version of ARCHEOMICH for the study of archaeological areas of Michoacán
• Development of virtual and augmented reality systems for the study of medical and archaeological data

• Programación Aplicada a Videojuegos. Maestría en Ciencias e Ingeniería de la Computación. Posgrado en Ciencia e Ingeniería de la Computación, UNAM.

• Dispositivos Biomédicos. Maestría en Ingeniería Eléctrica. Facultad de Ingeniería, UNAM.

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  Temas selectos de señales, imágenes y ambientes virtuales Visión por Computadora y Realidad Aumentada. Maestría en Ciencias e Ingeniería de la Computación. Posgrado en Ciencia e Ingeniería de la Computación, UNAM.

Doctoral:

• Miguel Daniel Garrido Reyes

• Marco Antonio Ramírez Penagos

• César Adrián Victoria Ramírez

• David Arturo Soriano Valdez

Master’s:

• Juan Carlos Vázquez Jerónimo

• Marco Tulio Sánchez Rodríguez

• Rodrigo Terpan Arenas

• Yadira Fleitas Toranzo

Undegraduate:

• America Itzel Vicente García

• Bruno Diaz

• Hazel Rosas

• Luis Antonio Guerrero Ibarra

• Ricardo Eduardo Rivas Roa

BIOCOMLAB webpage

• BIOCOMLAB

Study groups

• Microsoft Word – STUDY GROUP AIMS Syndemics web vs (eular.org)

Academics

• Alfonso Gastelum Strozzi | Publons

• https://orcid.org/0000-0001-9668-5822

• Scopus preview – Gastélum-Strozzi, Alfonso – Author details – Scopus

YOUTUBE

• https://www.youtube.com/watch?v=DGr0KDXMEb4

• https://youtu.be/y9Ci1Oj8ihM

• https://youtu.be/ZJiUyDwRiYY

• https://youtu.be/blDr_jcMDV4

• https://youtu.be/ppdgMkNv_9c

• https://youtu.be/W5kjA2uJJKQ

• Soriano-Valdez, D., Pelaez-Ballestas, I., Manrique de Lara, A., & Gastelum-Strozzi, A. (2020). The basics of data, big data, and machine learning in clinical practice. Clinical Rheumatology, 1–13. https://doi.org/10.1007/s10067-020-05196-z 
• Strozzi, A. G., Peláez-Ballestas, I., Granados, Y., Burgos-Vargas, R., Quintana, R., Londoño, J., Guevara, S., Vega-Hinojosa, O., Alvarez-Nemegyei, J., Juarez, V., Pacheco-Tena, C., Cedeño, L., Garza-Elizondo, M., Santos, A. M., Goycochea-Robles, M. V., Feicán, A., García, H., Julian-Santiago, F., Crespo, M. E., … Pons-Estel, B. A. (2020). Syndemic and syndemogenesis of low back pain in Latin-American population: a network and cluster analysis. Clinical Rheumatology, 1–12. https://doi.org/10.1007/s10067-020-05047-x   
• Mateos, M. J., Gastelum-Strozzi, A., Barrios, F. A., Bribiesca, E., Alcauter, S., & Marquez-Flores, J. A. (2020). A novel voxel-based method to estimate cortical sulci width and its application to compare patients with Alzheimer’s disease to controls. NeuroImage, 207. https://doi.org/10.1016/j.neuroimage.2019.116343  
• Azhar, M., Chang, X., Debes, J., Delmas, P., Duwig, C., Dal Ferro, N., … Strozzi, A. G. (2019). Advantages of multi-region kriging over bi-region techniques for computed tomography-scan segmentation. Soil Research, 57(6), 521–534. https://doi.org/10.1071/SR18294  
• Duwig, C., Prado, B., Tinet, A. J., Delmas, P., Dal Ferro, N., Vandervaere, J. P., Strozzi, A. G., … Morari, F. (2019). Impacts of land use on hydrodynamic properties and pore architecture of volcanic soils from the Mexican Highlands. Soil Research, 57(6), 629–641. https://doi.org/10.1071/SR18271  
• Flores, F. C., Ugalde, F. G., Díaz, J. L. P., Navarro, J. Z., Gastelum-Strozzi, A., Del Pilar Angeles, M., & Miyatake, M. N. (2019). Computer algorithm for archaeological projectile points automatic classification. Journal on Computing and Cultural Heritage, 12(3). https://doi.org/10.1145/3300972   
• Gastelum-Strozzi, A., Peláez-Ballestas, I., Cue Castro, A., Rodriguez, P., Dena, E., López Trujano, R., & Punzo-Díaz, J. L. (2019). Non-invasive morphological studies of a tomographic dataset of Funerary Urns from the Middle Balsas region in Michoacán, Mexico. Journal of Archaeological Science: Reports, 28. https://doi.org/10.1016/j.jasrep.2019.102053  
• Müller, K., Duwig, C., Tinet, A.-J., Strozzi, A. G., Spadini, L., Morel, M. C., & Charrier, P. (2019). Orchard management and preferential flow in Andosols-comparing two kiwifruit orchards in New Zealand. Soil Research, 57(6), 615–628. https://doi.org/10.1071/SR18293  
• Ortega Ramírez, M. P., Oxarango, L., & Gastelum Strozzi, A. (2019). Effect of X-ray CT resolution on the quality of permeability computation for granular soils: Definition of a criterion based on morphological properties. Soil Research, 57(6), 589–600. https://doi.org/10.1071/SR18189  
• Peláez-Ballestas, I., Granados, Y., Quintana, R., Loyola-Sánchez, A., Julián-Santiago, F., Rosillo, C., Gastelum-Strozzi, A., . . . Pons-Éstel, B. A. (2018). Epidemiology and socioeconomic impact of the rheumatic diseases on indigenous people: An invisible syndemic public health problem. Annals of the Rheumatic Diseases, http://doi.org/doi:10.1136/annrheumdis-2018-213625   

• ArcheoMich Software: 2017 – 2020: Software developed to control the different computer vision systems that make up the Digital Archaeology Laboratory, used for the registration and acquisition of objects and archaeological areas. The software also has modules for image analysis, 3D reconstruction and three-dimensional morphological measurements.  The first successful use of the software was in the acquisition and digitization of pre-Hispanic ballot boxes of the Michoacana Hot Land, Mexico, which allowed its study and digital excavation, and therefore its preservation. The software was transferred to INAH – Michoacán and is used in the Digital Archaeology laboratory. 

  http://www.biocomlab.com/apps/ArcheoMich.html

• Software SSEM (Syndemic and Syndemogenesis Elements Modeler): 2018 – 2020: First software developed by BIOCOMLAB for the study of diseases using a methodology of syndemia and syndomogenia, where the impact of social, economic and cultural variables on diseases was modeled. SSEM uses node modeling and simulation methods to find these representations. It was used in a project coordinated by GLADERPO for the study of rheumatic diseases in indigenous communities in Latin America. In one of her articles, Dr. Elena Nikiphorou mentioned that SSEM’s application to GLADERPO data achieved for the first time the relationship between rheumatic diseases, comorities and socioeconomic conditions in indigenous communities. In 2020 a new work was presented in syndemics and syndomogeny using SSEM, and was the first to show a syndomogeny methodology published in a journal indexed in JCR.

  http://www.biocomlab.com/apps/SSEM.html

• Functional thermography applied to metabolic condition monitoring. Control software was performed for the FLIR A6 thermal imaging camera and for reading radiometric data from FLIR image files. The main development results were:

  • Functional image analysis program for anomaly detection
  • User-validated software

  This project was developed in the period 01/01/2016 – 01/12/2017

• Soil Morphological Analysis Software (SMAS). The programme was developed to support the study of CT images of members of the European PROJECT PROTINUS, The algorithm is a collection of computational tools for the study of the shape and function of porous structures from tomographic images consists of the following stages:

  • Data tagging
  • Pore segmentation
  • Study of morphological properties 2D and 3D
  • Simulation of flow in structures
  • Statistical analysis of the relationship between pore function and form

  The software was transferred to 4 users (three international and one national) of which user letters are available, in the development there have been two articles in international magazine.

  The project produced two publications in journal articles with international arbitration and was developed between 1/08/2014 – 1/01/2017.

  http://www.biocomlab.com/apps/SMAS.html

• Real-Time Stereo Vision and 3D Display with Web-Based Capabilities. Alcatel France. Development of a vision system for telepresence and virtual avatar meeting. The algorithm developed was transferred to the Alcatel company and a technical report on its operation and implementation and a user manual was made.  This project was developed in the period 01/01/2011 – 01/01/2012, the development was delivered to the Alcatel company through the University of Auckland.