Luis Rodolfo GARCIA CARRILLO - Grants

Sponsored by NSF under the Hispanic Serving Institutions (HSI) Program. Award Number: 2318288

Investigators: PI: Hilda Cecilia Contreras Aguirre, Co-PI: Luis Rodolfo Garcia Carrillo

Period of Performance: August 2023 - July 2026

This project aims to establish a mentoring program at New Mexico State University (NMSU), an HSI that serves a large population of Mexican American students, also known as Latinx. The HSI Implementation and Evaluation Project: Latinidad: Transforming Latinx College Experiences through Mentoring and Research Practices in STEM program will be an alliance between faculty, researchers, graduate, and undergraduate students.

The project aims to explore the impact of mentoring experiences on underrepresented undergraduate students in STEM who try to find role models, career guidance, culturally relevant approaches, and academic/science identity.

Sponsored by NSF under the Hispanic Serving Institutions (HSI) Program. Award Number: 2247689

Investigators: PI: Luis Rodolfo Garcia Carrillo, Co-PIs: Hilda Cecilia Contreras Aguirre, Marshall Taylor, and Bill Hamilton. SP: Lauren Cifuentes

Period of Performance: June 2023 - May 2026

Multidisciplinary research project which spans multiple colleges and departments at NMSU. The team is composed by Co-PIs Dr. Hilda Cecilia Contreras Aguirre (Office of the Vice President for Research and School of Teacher Preparation, Administration and Leadership), Dr. Marshall Taylor (Sociology), Dr. Bill Hamilton (Computer Science), and Dr. Lauren Cifuentes (School of Teacher Preparation, Administration and Leadership).

This project proposes a Wisdom Community (WisCom), available to ECE students and faculty at NMSU, based on socioconstructivist and sociocultural learning philosophies as well as distance education principles. The project goal is to facilitate students’ identity as professional ECE engineers and increase retention and graduate rates.

Sponsored by U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, participating as a funding organization for the NSF Collaborative Research in Computational Neuroscience (CRCNS) Program. Contract number KJ0403010

Investigators: PI @ NMSU: Luis Rodolfo Garcia Carrillo, PI @ LANL Andrew T. Sornborger, Co-PI @ LANL Garrett T. Kenyon

Period of Performance: August 2022 - July 2025

Collaborative project between NMSU and Los Alamos National Laboratory (LANL). This project proposes an end-to-end, behaving, spiking neuromorphic visual system. This will allow us to test the fundamentals not only of learning processes, but also of how neuronal and neuronal circuit mechanisms allow for the dynamical coordination necessary to allow learning to take place. The system will be tested in an end to end neromorphic autonomous system.

Sponsored by NSF under the Broadening Participation in Engineering (BPE) Program. Award Number: 2131875

Investigators: PI: Hilda Cecilia Contreras Aguirre, Co-PI Luis Rodolfo Garcia Carrillo

Period of performance: January 2022 - December 2024

This project studies the effects that mentoring, role models, and early exposure to research have on undergraduate students success and pursual of graduate programs.

Sponsored by CONACYT (the Mexican equivalent of USA's NSF)

Period of performance: August 2018 - July 2020

The research objective of this project is the design and development of an augmented reality testbed for Multi-Agent Systems. The testbed will allow fast prototyping of strategies for stabilizing a single autonomous aerial agent, as well as a team of robots composed by both real and virtual agents.

CONACYT Fellow: Gabriel Alexis Guijarro Reyes (B.Sc. in Mechatronics from La Salle Laguna, Durango, Mexico)

Sponsored by the Army Research Office - Network Sciences Division

Period of performance: September 2018 - January 2020

The research objective of this project is to employ computational models of emotional learning observed in the mammalian limbic system to develop novel and systematic methodologies for analysis, design, and implementation of autonomous multi-agent systems (MAS) operations. The motivation comes from the interdisciplinary and complex nature of the tasks encountered in the modern society, which demand the integration of multiple complementary agents capable of self-organization and coordinate themselves. This work builds on our previous results demonstrating that the implementation of Brain Emotional Learning (BEL) is effective in stabilizing a single autonomous aerial agent, as well as a team of robots, both in simulations and real-time experiments.

Last edited on October 12^th 2023 09:51AM (Time Zone: MDT).
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