Our NSF-REU was renewed in collaboration with Texas A&M-San Antonio, “REU Site: Undergraduate Research Experiences in Artificial Intelligence, Data Analytics, and Mixed Reality for Smart and Connected Health“
NSF-REU Renewed!
Category: Grants
Sertainty/TXST-CIEDAR
PI for the Sertainty/TXST-CIEDAR project contract for the Sertainty UXP Technology Implementation in the Context of IoT and LoRaWAN Gateway Constructs.
NSF S-STEM Grant
Co-PI of the newly funded Scholars of Excellence in Engineering Design (SEED) from NSF-S-STEM program
NSF Expand_AI Grant
Co-PI of the newly funded CAP: Expanding AI Curriculum and Infrastructure at Texas State University to Advance Interdisciplinary Research and Grow a Diverse AI Workforce from the NSF-ExpandAI program.
USDA’s AnimalCareBot Grant
Co-PD of the newly funded AnimalCareBot: Bridging the Gap between Emerging Technologies for Livestock Production and Education in Agricultural Sciences from the United States Department of Agriculture (USDA) – National Institute of Food and Agriculture (NIFA)
IN THE NEWSROOM
NSF STTR for real-time mineral data collection and identification module, which will incorporate machine learning and a unique sensor package to analyze the walls of mineral exploration and geotechnical boreholes. Newsroom: Texas State University:
Engineering Smart Firefighting with Dell-NVIDIA!
Awarded $24,976.00 from Dell-NVIDIA for the Human Detection Using IR, and Scream DL Classifiers and Prototype Development of Autonomous Vehicle Units for Smart Firefighting project for this summer/fall.
NSF-STTR FUNDING AWARD!
Awarded $256,000 from the NSF-STTR Program for Phase I: Real-Time Mineral Data Collection and Identification Module with Stratajam, LLC as the TXST Co-PI!
Data Science Pathway Funded!
Happy to be part of the Faculty cohort from TXST in collaboration with Sam Houston State University in the development of a Data Analytics Certificate funded by the Texas Higher Education Coordinating Board
NSF-REU FUNDING AWARD!
Awarded $344,029 from the NSF-REU Program for the Undergraduate Research Experiences in Machine Learning, Analytics, and Augmented Reality for Smart and Connected Health.