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!
Health Scholar Showcase Poster Accepted!
Discussing resilient health research topics at #HSS22. Join me and Texas State University’s Translational Health Research Center on April 8th to learn more about our research: “Human Expression Recognition Deep Learning Models to Help Children with ASD Identify Emotions.”
TXST Innovation Lab @ SXSW22
The team presented at the TXST Innovation Lab at SXSW 2022 for the Multimodal Emotion Recognition Solution for Children with ASD -Nurturing Neurodiversity APP
In the Newsroom
NSF grant establishes REU site for undergrad research into smart, connected communities, health. Newsroom: Texas State University:
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
IEEE Article Accepted!
Co-authored journal article “Manufacturing Operator Ergonomics: A Conceptual Digital Twin Approach to Detect Biomechanical Fatigue” was accepted to IEEE Access.
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.
Invited Talk!
Invited to present TXST’s project on Industry 4.0 Digital Twin to the Industry 4.0 – Strategies for Success! Virtual Seminar at CETYS University System in collaboration with American College of Thessaloniki. Coming in Feb. 2022!
REP Funding Award!
Collaboration with Dr. Maria Resendiz (PI – Dept. of Communication Disorders) was awarded $10,984 from the Research Enhancement Program at Texas State University for the development of the Emotion Validation Dataset.
