Kaavya Ramarapu has successfully defended her thesis titled “Environmental Emotion Recognition for Children with ASD“
Kaavya Defended!
TXST STEM Conference!
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.
Physics Colloquium
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
ECHO TXST!
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
A&M-SA REU Article
Our REU site is featured in the A&M-SA Today article “Summer Research Program Focuses on Interdisciplinary AI Research in Healthcare“
Abstract Accepted!
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.
Dr. Valles Guest Editor
Guest Editing for the Applied Science Special Issue: Novel Technologies and Applications for Internet of Things. Deadline: August 20, 2025
- Applications and technologies for smart cities, smart grids, smart farms, smart home, smart health, and Industry 4.0.
- Low-power wide-area network (LPWAN) technologies.
- Machine learning-based applications, protocols, and algorithms for IoT systems and applications.
- Edge AI technologies for IoT systems.
- Integration, management, and IoT systems and solutions for digital twins.
- 5G/6G communication technologies for IoT systems.
- The energy consumption and sustainability of IoT systems.
- Computational requirements for IoT systems.
The FIRE paper is out!
Dhadkan Shrestha‘s paper titled “Reinforced NEAT Algorithms for Autonomous Rover Navigation in Multi-Room Dynamic Scenario,” is now available at MDPI-FIRE!
TXST REP Award
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).
NSF-REU Renewed!
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“
