Jamal Close and Alyssa Lopez will present their research poster at the 2025 TXST STEM Conference.
Jamal’s “Electrical Integration of Autonomous Agricultural Bot” is his work under the USDA’s AnimalCareBot Project
Alyssa’s “Developing Artificial Intelligence Models for Predicting Cattle Movement, Behavior, and Emotion,” and collaboration with Elysa Jimenez from the AnimalCareBot project, is her work from the USDA’s Leading Hispanics program.
Dr. Valles was invited to talk at the Department of Physics Colloquium, and will present on “Neural Operators for Physics-Informed AI in Ultrawide Bandgap (UWBG) Semiconductor Research.”
When: April 2nd, 2025
Where: RFM-3219
Time: 5 – 6 PM
Fire Tech: Frontline Innovation for Resilient and Effective Firefighter Technology –
Session 1: How Can Robotics, Drones, and AI Transform Fire Response?
March 26th 12 PM – 1 PM CST
Register: https://txstate.zoom.us/meeting/register/Tf_6H_-1RKSnDAna-cnMmg#/registration
Our REU site is featured in the A&M-SA Today article “Summer Research Program Focuses on Interdisciplinary AI Research in Healthcare“
Alyssa’s honor’s thesis abstract, “Developing and Validating Artificial Intelligence Models to Predict Cattle Behavior, Movement, and Emotion,” has been accepted for proceedings to the 2025 American Society of Animal Science (ASAS) Southern Section/Western Section Joint Meeting, in Arlington, Texas.
Guest Editing for the Applied Science Special Issue: Novel Technologies and Applications for Internet of Things. Deadline: August 20, 2025
Dhadkan Shrestha‘s paper titled “Reinforced NEAT Algorithms for Autonomous Rover Navigation in Multi-Room Dynamic Scenario,” is now available at MDPI-FIRE!
Dr. Valles is a Co-PI for the newly awarded TXST FY25 Research Enhancement Program (REP) for the Pulsed Laser Annealing for Enhanced Doping and Phase Purity in Synthetic Diamonds for Advanced Electronic and Energy Applications, $16,000.00 with Dr. Ariful Haque (PI).
Dr. Valles’s 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“
Dr. Valles’s “Data Augmentation for Classifying Multiple Sclerosis Severity through Inertial Measurement Unit-Based Gait Analysis” collaborative paper has been accepted to the Seventh Workshop in Artificial Intelligence Techniques for BioMedicine and HealthCare (AIBH) at the 2024 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024) and will be presented in December in Lisbon, Portugal.
