Instructors

Juan Ramón Terven Salinas PhD

Gendry Alfonso Francia PhD

Dr. Terven is a Research Professor at the National Polytechnic Institute (IPN) in CICATA-Querétaro. His research areas include artificial intelligence based on deep learning. He obtained a degree in Electronics Engineering from the Instituto Tecnológico del Mar (2004), a Master’s in Computer Science from the Autonomous University of Sinaloa (2008), and a Ph.D. in Advanced Technology from CICATA Querétaro at the National Polytechnic Institute (2016). In 2013, he was a visiting student at the Massachusetts Institute of Technology (MIT), and in 2014, he served as an internal researcher at Microsoft Research (MSR). Before joining IPN as a research professor, he worked as a professor at the Instituto Tecnológico de Mazatlán and the Universidad Politécnica de Sinaloa for eight years. Subsequently, he spent another eight years as a scientific researcher at AiFi Inc., a Silicon Valley-based company specializing in retail automation, where he was the author of 10 patents granted in the United States. Dr. Terven is a member of the National System of Researchers (SNI) and has contributed to the scientific community with approximately 40 publications in high-impact journals.

Dr. Gendry Alfonso Francia is a graduate in Computer Science Engineering from the University of Computer Sciences (UCI) in Havana, Cuba. He earned a Master’s in Computer Science with a focus on Artificial Intelligence from the Autonomous University of Querétaro (UAQ), and a Ph.D. in Engineering from UAQ. With 15 years of experience as a professor, developer, and researcher, he has taught courses in Programming, Artificial Intelligence, Computer Ethics, Automata and Formal Languages, and AI Applied to Biomedicine. He has served as a member of thesis committees, as a thesis advisor for both undergraduate and graduate students, and as a coordinator for both the career and specific courses. As a developer, he has been involved in projects related to digital identification and security, working with programming languages such as C++, C#, Python, and development environments such as .Net and Pytorch. As a researcher, Dr. Francia has specialized in Artificial Intelligence, particularly in Machine Learning, Deep Learning, and Computer Vision. He has multiple JCR-indexed publications, conference presentations, and book chapters. His primary research focus has been on the analysis of medical images, and he is currently involved in an interdisciplinary project with medical specialists at the Mexican Institute of Ophthalmology. He has volunteered as an instructor in the "Quiero Programar" project at UCI, aimed at teaching programming, problem-solving, and algorithm skills to children and teenagers in their early developmental years. Dr. Francia enjoys baseball, basketball, and spending time with friends.

Objective

Train participants in the practical development of applications that integrate large language models (LLMs) such as ChatGPT via APIs, as well as in installing, configuring, and running open-source language models locally.

Brief Course Summary

This four-hour hands-on workshop will introduce attendees to using APIs to integrate advanced models like ChatGPT into their applications, covering real-world use cases. Participants will also learn how to install, configure, and use open-source models locally—enabling them to build custom, sustainable solutions without full reliance on external services. Advanced techniques such as Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG) will also be covered.

Target Audience

Software developers, data engineers, computer science students, and professionals interested in Artificial Intelligence and language-model–driven application development.

Minimum Knowledge (Theoretical & Practical)

Basic Python programming general familiarity with AI and Machine Learning (introductory level).

Requirements to Attend

Personal laptop with Internet access preferably Python installed locally, or access to Google Colab as an alternative.

Barre Fusion

This class is held in a barre fusion style, integrating ballet-inspired movements, Pilates, and strength training to sculpt and tone muscles, emphasizing flexibility and balance.
Duration: 1 hour

Instructors

Experience:

More than 20 years of experience with 3D-design software, especially CATIA V4, V5, and 3DEXPERIENCE. As Sales Manager at Diseño Análisis e Ingeniería, he leverages his technical background in 3D design to deliver high-impact presentations that accurately address client needs.

Salvador López López

CEO

Experience:

Over 24 years of expertise in 3D-design software, particularly CATIA V4 and V5. He is currently CEO of Diseño Análisis e Ingeniería, a company specializing in cutting-edge solutions and training across 3D design, virtual and physical machining, and plastic-injection simulation.

Eloy Morales Muñoz

Sales Manager

Juan Antonio Ramírez Gutiérrez

Design Manager

Experience:

Eleven years working with 3D-design tools—CATIA V5, 3DEXPERIENCE, and Moldex3D. He currently leads the design team at Diseño Análisis e Ingeniería, executing automotive-industry projects that apply plastic-part development and injection-simulation principles to deliver high-quality engineering proposals.

Diego Gael Martínez Morales

Project Administrator

Experience:

Three years of project management using APQP, FMEA, PPAP, and other methodologies. He oversees internal processes at Diseño Análisis e Ingeniería, ensuring 3DEXPERIENCE standards are applied across all projects.

Objective

Enable participants to leverage the 3DEXPERIENCE® platform end-to-end for injection-mold development of plastic parts: from managing project documentation, through part design in CATIA, to plastic-filling simulation, FMEA generation, and mold-tool definition.

Target Audience

Mechanical and tooling engineers

Plastics designers and mold makers

Process engineers working in injection molding

Project managers overseeing product development

Anyone responsible for CAD-to-manufacturing workflows in plastics

Minimum Knowledge

Fundamental 3D-CAD skills (preferably CATIA V5 or 3DEXPERIENCE)Basic understanding of plastic injection-molding processesFamiliarity with FMEA (Failure Mode and Effects Analysis) conceptsComfort working in a Windows environment.

Requirements to Attend

Personal laptop

Chemistry with a Taste of Wine

Friday, October 3rd, 2025

10:00 am to 2:00 pm

Presented by MTA. Fabiola Ruiz Frías

Food Chemical Engineer (UAQ), wine and flavor enthusiast, she studied a diploma program in wine offered by the Mexican Association of Sommeliers and pursued a master’s degree in the same area at CICATA-Qro. She had the opportunity to carry out a research stay at Oregon State University (OSU), where she collaborated on projects aimed at identifying the key aromatic compounds in Wuliangye and Moutai, two traditional Chinese alcoholic beverages made from fermented rice and wheat. She is currently a doctoral student at CICATA-Qro, exploring new areas within the food sciences.

Course Prerequisites: You must be of legal age to join us! We wait to have you on board!

Wine is one of the most studied beverages from both chemical and sensory perspectives, due to the complex interaction of its components with human taste and smell receptors. Beyond its basic composition, the aromatic profile of wine reflects its raw materials, vinification process, and storage.

To date, over 800 volatile compounds have been identified in different types of wine, including esters, terpenes, aldehydes, and phenolic compounds, each contributing uniquely to the sensory perception of this beverage.Aroma perception in wine is a complex phenomenon involving interrelated chemical and biological processes.

Unlike taste, which is detected through receptors on the tongue, aromas depend on the interaction of volatile molecules with olfactory receptors in the nasal cavity. This mechanism enables the recognition of a wide range of compounds with detection concentrations in the parts per billion (ppb) range or even lower. This workshop will explore the chemical and biological fundamentals behind aroma perception in wine. Topics will include differences in grape chemical composition, the impact of fermentation, and the Crabtree effect in volatile metabolite production. Laboratory techniques for identifying aromatic compounds, such as Solid Phase Micro-Extraction (SPME), will also be discussed.

Finally, the biological process of aroma perception will be compared with the principles of gas chromatography, highlighting the importance of Key Odor Compounds for identifying food or reproducing them as artificial flavors. The workshop will conclude with a practical wine tasting session, applying the discussed concepts to identify the primary aromatic descriptors present in different samples.

Cartel de cata de vinos simple sobre fondo negro (1).png

Affiliation: Center for Research in Applied Sciences and Advanced Technology, Querétaro

Presented by Daniel Aguilar Torres PhD

Since 2016, he is an Electronics and Communications Engineer with a specialization in Acoustics from the Escuela Superior de Ingeniería Mecánoca y Eléctrica Unidad Culhuacan (ESIME-Culhuacan) of the Instituto Politécnico Nacional (IPN). In 2019, he obtained a Master of Science in Engineering in Microelectronics from the Sección de Estudios de Posgrado e Investigación of ESIME-Culhuacán at the IPN. He obtained his Ph.D. in Energy in 2023 from the same section of the IPN. Since February 2024, he has been a postdoctoral researcher at the Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada, Unidad Querétaro, of IPN. He has developed his academic career at the Universidad del Valle de México and the Escuela de Estudios Superiores Juriquilla of the Universidad Nacional Autónoma de México. His research interests include dynamic systems, ultrasound-assisted dehydration, acoustic levitation systems, energy harvesting from ambient noise, classical control systems, wave propagation analysis in different media, ambient noise analysis, development of high-intensity focused ultrasound devices, and improvement of energy efficiency in ultrasound devices.

Objective

Provide participants with practical tools and technical knowledge to implement germination and sustainable cultivation practices focused on food security, self-consumption, and self-production. Through accessible, responsible techniques, the workshop aims to foster food self-sufficiency by promoting efficient use of resources—water, land, and organic waste—and strengthening community resilience against economic or climatic crises. It will also raise awareness of environmental sustainability and empower attendees to create urban or home gardens that contribute to local food production, improve quality of life, and build community support networks.

Brief Course Summary

This four-hour workshop is designed to give participants technical understanding of germination and sustainable cultivation techniques geared toward promoting food security, self-consumption, and self-production. Attendees will learn the biological processes behind seed germination, criteria for selecting and growing edible species in limited spaces, and how to implement sustainable practices such as composting and natural resource management. Through hands-on activities, participants will design and manage urban gardens using recycled materials, applying ecological agriculture principles for plant care. The workshop will also explore the social impact of self-consumption and how urban gardening initiatives can enhance community and environmental resilience. By the end of the session, participants will be equipped to apply these techniques autonomously in their homes or community settings.

Target Audience

Researchers, academics, and professionals interested in food security, sustainability, and urban agriculture
Educators, students, and environmental specialists seeking innovative germination and self-consumption practices for urban and rural projects

Minimum Knowledge

None required

Green and White Modern Go Green With Organic Instagram Post.jpg

Instructor

Green and White Modern Go Green With Org

Giovanny Aguilera Durán

Autonomous University of Zacatecas

Dr. Aguilera-Durán serves as an Associate Researcher at the Quantum Chemistry and Molecular Modeling Laboratory at UAZ. He has 11 years of experience working on projects focused on the computational modeling of membrane proteins relevant to autoimmune diseases, computer-aided drug design, and the synthesis of novel compounds designed to target membrane proteins in autoimmune and chronic degenerative conditions. He has participated in various national academic conferences and has taught non-tenured courses at the high school level (UAQ) and undergraduate level at the Faculty of Chemistry-UAQ, UNITEC Engineering, the Academic Unit of Chemical Sciences-UAZ, and the Department of Health Sciences-UVM, Querétaro campus. Additionally, he served as a full-time professor in the Bachelor's Program in Integral Medicine and Community Health at UBBJG, Ezequiel Montes, Qro. Dr. Aguilera-Durán has co-supervised and graduated a bachelor's student, managed social service projects aimed at the academic development of undergraduate students, and co-supervised doctoral students in SNP programs. He holds an affiliation with SECIHTI through a postdoctoral fellowship at the Quantum Chemistry and Molecular Modeling Laboratory-UAZ. Furthermore, he has been recognized as a Candidate Level Researcher in the National System of Researchers (SNI) and has published five articles in peer-reviewed international journals indexed in recognized databases, with an h-index of 4.

Objective

Learn the fundamental theoretical and practical concepts of molecular docking using the open-source software AutoDock.

Brief Course Summary

This workshop offers a brief introduction to computational chemistry and molecular docking concepts, as well as essential biochemical principles required to understand the technique. The course will also cover the use of the MGLTools graphical interface, the Windows command line for AutoGrid and AutoDock execution, and result analysis.

Target Audience

Software developers, data engineers, computer science students, and professionals interested in Artificial Students and academic professionals.

Minimum Knowledge (Theoretical & Practical)

Basic knowledge of biology, chemistry, and biochemistry.

Requirements to Attend

A laptop with Windows 10 or 11 Operating System.

Instructor

Karina Larco-Dawson, PhD(c)

Brigham Young University

Ph.D. candidate in Civil and Environmental Engineering at Brigham Young University, specializing in hydroinformatics and water resources. She holds a degree in Environmental Engineering from Escuela Politécnica Nacional in Quito-Ecuador and a Master’s in Hydrology with a major in Ecohydrology from the Universidad de Cuenca, Cuenca-Ecuador. She has participated in various projects of Environmental Consulting and Research for the Paramo and the Amazon. She has experience in Ecohydrology, Hydrometeorology, stable water isotopes, hydrological modeling, transit times, monitoring: biotic, in plots and in watersheds, database management, geographic information systems, hydroinformatics, and Flood Inundation Modeling. Since 2021, Karina has worked with the GEOGLOWS model, serving as both a trainer and a key contributor to its implementation across several countries in Central and South America. Karina’s research focuses on measuring the impact of the implementation of GEOGLOWS. In recognition of her impactful work, she has been nominated for the prestigious Earthshot Prize in 2025.

Objective

Train participants in the efficient use of GEOGLOWS services for streamflow forecasting and water management. By the end of the workshop, participants will develop skills to interpret and apply global hydrological information.

Brief Course Summary

This workshop combines theory and practice to enhance participants’ abilities in handling hydrological modeling tools, with an applied focus on water management and data-driven decision-making. The GEOGLOWS River Forecast global hydrological model will be used, which is based on the ensemble weather forecasting system of the European Centre for Medium-Range Weather Forecasts (ECMWF). This model provides daily updated forecasts and access to historical streamflow data going back to 1940.
More information: https://www.geoglows.org

GEOGLOWS results have been successfully implemented in several countries—for example, flood forecasting, early warning of extreme events, water contamination cases, and the design of irrigation systems.
Case studies: https://stories.geoglows.org/home

Target Audience

This workshop is aimed at hydrologists, water resource managers, university students in water sciences, decision-makers, and environmental scientists interested in integrating advanced hydrological modeling and forecasting technologies into their work.

Minimum Knowledge (Theoretical & Practical)

No prior knowledge is strictly required; however, the learning experience will be enhanced for those with basic understanding of hydrology, hydrological systems, processes, or models.

Requirements to Attend

A computer with internet access and the ability to use Google Colab.
Basic knowledge of Excel.

Instructor

Curso Gestión de Manto. Ind. Aut. ICASAT (5).png

Othón González Chávez PhD

An aeronautical engineer graduated from ESIME Ticomán, he has worked in the aerospace sector as a specialist in air safety and ground handling. He later pursued graduate studies at CICATA Querétaro, focusing on unmanned aerial vehicles and computational image analysis. During his postdoctoral stay at CentroGeo Aguascalientes, he specialized in natural language processing and deep learning. He currently works in the automotive industry as a software testing engineer for the company Continental, applying his expertise in the development of driver assistance systems and automatic object recognition in complex driving scenarios.

Objective

To provide participants with theoretical and practical foundations for a general understanding of the inputs and outputs of a Transformer-based Large Language Model (LLM).

Brief Course Summary

Participants will be introduced to the theoretical underpinnings of LLM usage, from word processing using NLP tools to feed data into the workflow, to different architectures and strategies for handling model outputs.

Target Audience

Undergraduate and graduate students in engineering, mathematics, physics, or related fields.

Minimum Knowledge (Theoretical & Practical)

Basic Python

Requirements to Attend

Personal laptop, Git, Python (>=3.9), and Anaconda must be pre-installed.

ICASAT 2025

Instructors

Barre Fusion

Instructors

Chemistry with a Taste of Wine

Presented by MTA. Fabiola Ruiz Frías

Presented by Daniel Aguilar Torres PhD

Target Audience

Minimum Knowledge

Instructor

Instructor

Instructor

I would like to know more about workshops...