BIOCOMLAB


Laboratory focused in the development of computational solutions to computer vision problems, image processing, data modelling, 3D models and simulation applied to Health Sciences, Environmental Sciences and Archaeology

History

BIOCOMLAB HISTORY


BIOCOMLAB was funded in 2015 as a laboratory of the UIDT-UNAM to provide support in the development of computer sciences projects applied to health and environmental sciences, the head of the laboratory is Dr Alfonso Gastelum-Strozzi and it has a team of developers form from undergraduate students, master students and PhD students.
BIOCOMLAB also works in a set of Social Sciences and heritage preservation projects in collaboration with INAH
The focus of BIOCOMLAB is to develop translational medicine that has a real social impact and to introduce the methods to achieve this in Environmental Sciences and Archaeology projects.

Research Areas


Computer vision

2D and 3D photogrammetry - surface reconstruction

Image processing

Morphological and textural analysis

Data modeling

Bigdata analysis, statistical and relational analysis

Simulation

Simulation on CUDA with volumetric rendering and SPH simulation

Software


SSEM

Syndemic and Syndemogenesis Elements Modeler

SMAS

Soil Morphological analysis software

ArcheoMich

Study of ancient rest, funerary traditions and Archeological objects

EXCELEN-19

Study of ancient rest, funerary traditions and Archeological objects

COVID apps

Projects developed to aid during the COVID-19 pandemic

Projects


SSEM

Syndemic network analysis of diseases and conditions

Simulation

SPH simulaion of flow in CUDA

Volume rendering

Real time volume rendeing in CUDA

SMAS

Soil Morphological analysis software

Funeray Urns

Study of ancient rest and funerary traditions

Heritage preservation

Study of ancient rest and funerary traditions

ArcheoMich

Study of ancient rest, funerary traditions and Archeological objects

Natural interaction

VR and AR tools for natural interaction

AI robots and videogames

New AI models aplied to videogames and robot navigation

Team


Alfonso Gastelum-Strozzi

Alfonso Gastelum Strozzi is a physicist from the University of Guadalajara, has a master's degree in Medical Physics and in 2012 he completed a PhD in Computer Science, at the University of Auckland, in New Zealand. he completed a postdoctoral stay at the LTHE laboratory in Grenoble, France, where he developed the methods and algorithms necessary for the simulation of flows in porous media, with applications in soil models. These developments were used in an international Horizon2020 project where he oversaw the research group in Mexico.

He is currently an associate researcher at the ICAT-UNAM working in the Biomedical Devices group. He develops solutions to problems in the medical area, environment and archaeology using methods from physics and computing science area. He specializes in the areas of data processing, visualization, and the modeling and simulation of natural phenomena.



DAVID ARTURO SORIANO VALDEZ

David Arturo Soriano Valdez is a computer engineer from the National University of Mexico (2008), has a master’s degree in computer science (2016) and a PhD in engineering and computer science from the National University of Mexico (2021). He completed a post-doctoral stay as a research fellow at the University of Auckland’s Strong AI Laboratory in Auckland, New Zealand, where he worked in animal behavior detection, and animal reidentification using computer vision with AI.

He also developed a method for 3D point cloud segmentation of underwater structures using Smoother Shape Descriptors. He worked in the development of a portable system to integrate real time AI processing using NVIDIA Jetson devices, along with synchronized multi-vision systems. He is currently working as a Research Fellow for BIOCOMLAB in multidisciplinary projects, which involve Health, Archeology and Environment. His skills include strong software development, graphic simulation, computer graphics, computer vision, data science, AI and accelerated computation using CUDA.

UNAM WEBPAGE

ICAT

For information on projects, interest on participation on the laboratory or information on how to access our applications please contact us at:


5622-8602