Research Group in Scientific Computing (SciCompUTEC)

The objectives of the Computational Science Research Group are to utilize tools from Computer Science (Machine Learning, Neural Networks, parallel computing) to solve problems in both Physics (numerical methods) and Engineering. The aim is to achieve a high level of optimization through algorithm benchmarking, focusing on speed and accuracy of results. Additionally, the group seeks to promote the field of Computational Science in undergraduate and postgraduate studies through activities such as Journal Clubs, Conferences, and Theses.

Coordinator: José Antonio Fiestas Iquira - Department of Computer Science

Email: [email protected]

Research Group in Artificial Intelligence (GINIA)    

GINIA is an Artificial Intelligence group at UTEC that brings together professors, AI experts, and students to apply machine learning technology to everyday challenges. We are committed to advancing and contributing to the field by developing new algorithms and methods. Our focus is not only on solving current problems but also on pushing the state of the art in artificial intelligence.

Coordinator: Cristian José López del Álamo- Department of Computer Science

Email: [email protected]

Research Group in Data Analytics and Decision Sciences (DADS)

Coordinator: Fabien Yves Paul Cornillier  - Department of Industrial Engineering and Engineering Management

Email:  [email protected]

Research Group in Water Security and Climate Change (SeHClim)  

The Water Security and Climate Change Research Group (SeHClim) at UTEC focuses on the impact of variability and climate change on the hydrological cycle, with an emphasis on studying water ecosystem services, water uses, infrastructure, and interdisciplinary approaches for water security at the local and regional scale. Our research encompasses the following themes:

1. Hydroclimatology, hydrometeorology, El Niño phenomenon.
2. Hydrology of mountains and glaciers, hydrology of arid areas, and dry rivers.
3. Hydrological processes in experimental watersheds, development of low-cost monitoring networks.
4. Socio-hydrological approaches to water availability and disaster risk.
5. Eco-hydraulics.       

Coordinator: Pedro Rau Lavado - Department of Civil and Environmental Engineering

Email: [email protected]

Research Group in Product Design with Computer Simulation “MSP”

Coordinator: Jose Luis Mantari Laureano - Science department

Email: [email protected]

Research Group in Robotics, Artificial Intelligence, and Advanced Control (RIC)    

Coordinator: Christian Flores Vega - Science department

Email: [email protected]

Research Group in Educational Innovation and Teaching Competence (INECOD)          

Coordinator: Silvia Lavandera Ponce - Corporativa de Calidad y Transformación Educativa – DICTE

Email: [email protected]

Research Group in Algorithms, Combinatorics, and Theory of Computation

Coordinator: Juan Gabriel Gutiérrez Alva - Department of Computer Science

Email: [email protected]