Adenrele‘s paper titled “Using Machine Learning and Regression Analysis to Classify and Predict Danger Levels in Burning Sites” was accepted to the IEEE World AI IoT Congress 2022 (AIIoT). To be presented in June.
Adenrele to GRA on the Dell-NVIDIA Proj.
Adenrele Ishola will continue his thesis and work on the Dell-NVIDIA Smart Firefighting project this summer as a Graduate Research Assistant. Learn about him here.
Welcome Susmitha!
We welcome Susmitha Varanasi to the HiPE research group! She will be working on the Dell-NVIDIA Smart Firefighting project this summeras a Graduate Research Assistant. Learn about her here
Engineering Smart Firefighting with Dell-NVIDIA!
Dr. Valles was 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.
NSF-STTR FUNDING AWARD!
Dr. Valles, in collaboration with Dr. Semih Aslan, was 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!
Poster accepted for the TXST Translational Health Research Center’s Health Scholar Showcase for the research work focused on 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
Dr. Valles in the Newsroom
NSF grant establishes REU site for undergrad research into smart, connected communities, health. Newsroom: Texas State University:
DATA SCIENCE PATHWAY FUNDED!
Dr. Valles is part of the TXST Faculty cohort in collaboration with Sam Houston State University in the development of a Data Analytics Certificate funded by the THECB
IEEE Article Accepted!
Dr. Valles’ co-authored journal article “Manufacturing Operator Ergonomics: A Conceptual Digital Twin Approach to Detect Biomechanical Fatigue” was accepted to IEEE Access.
