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
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.
2D and 3D photogrammetry - surface reconstruction
Morphological and textural analysis
Bigdata analysis, statistical and relational analysis
Simulation on CUDA with volumetric rendering and SPH simulation
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 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.