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“
NSF-REU Renewed!
Category: Deep Learning
IEEE BIBM-AIBH 2024 Paper Accepted!
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.
FNWF’24 Panel
Dr. Valles is on the “Smart Cities in the Era of 5G and Beyond – An Example” panel at the 2024 IEEE Future Networks World Forum (FNWF) in Dubai, UAE.
UEMCON’24 Paper!
Hiroshi‘s “Fully Auto-Regressive Multi-Modal Large Language Model for Contextual Emotion Recognition” paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). It will be presented in October at the IBM T. J. Watson Research Center in New York.
UEMCON’24 Paper!
Shafiqul‘s “Deepfake Detection Using Transfer Learning” paper has been accepted to the 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). It will be presented in October at the IBM T. J. Watson Research Center in New York.
IEEE AI-IoT Paper Accepted!
Gavin Jackson’s paper, “Dataset Enlargement With Generative Adversarial Neural Networks,” has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
IEEE AI-IoT Paper Accepted!
Saad Rafiq and Erich Ellsworth‘s collaboration paper with HiPE Alums Adenrele Ishola, Oscar Resendiz, and Susmitha Haripriya Varanasi, “Design of Autonomous Rover for Firefighter Rescue: Integrating Deep Learning With ROS2,” has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
IEEE AI-IoT Paper Accepted!
Dr. Valles’s collaboration paper with Faria Farzana, “Enhancing Pedestrian Safety: Predicting Movements With Deep Learning Models,” has been accepted for the 2024 IEEE World AI IoT Congress (AIIoT).
IEEE AI-IoT Paper Accepted!
Dr. Valles’s collaboration paper, “Ultrasonic Frequency Anomaly Localization With Machine and Deep Learning,” with Evan Smith, Antonio Grahm, and Joni McCawley, has been accepted to the 2024 IEEE World AI IoT Congress (AIIoT).
TXST STEM Posters Accepted!
Dylan Hall’s, Gavin Jackson’s, and Alyssa Lopez’s research posters were accepted to the TXST STEM Conference 2024
