Sazida Islam’s and Dr. Valles’ article titled Animal Species Recognition with Deep Convolutional Neural Networks from Ecological Camera Trap Images with Dr. Michael Forstner from TXST Biology and colleagues from Texas A&M was published in MDPI’s Animals, Volume 13, Issue 9.
Alex Little successfully defended his thesis on Social Media Misinformation Spread During the Pandemic
Joni McCawley and Gabriella Taverna will present their research poster on Emotion Recognition using Audio Input for Voice and Environmental Sounds at the TXST Data Analytics Showcase.
Saad Rafiq and Erich Ellsworth will present their research poster on Smart City Firefighting Autonomous Data Collection at the TXST Data Analytics Showcase.
Gavin Jackson and Dylan Hall will present their research poster on Face Emotion Recognition DL Development and App Adaptability at the TXST Data Analytics Showcase.
Dr. Valles was invited to present a lightning talk on Machine Learning, IoT, Autonomous Driving, and AR to Respond to Fire Emergencies at the TXST Data Analytics Showcase.
Dr. Valles’ co-authored collaborative paper “Wind Speed Forecasting for Designing Sustainable Wastewater Treatment Plants” with Shriyank Somvanshi, and et al. was accepted to the 2023 IEEE CCWC.
Dr. Valles’ co-authored collaborative paper “Forecast Analysis of Visibility for Airport Operations With Deep Learning Techniques” with Sabhasachi Saha was accepted to the 2023 IEEE CCWC.
Dr. Valles’ co-authored collaborative paper “Performance Analysis of TensorFlow2 Object Detection API Models for Engineering Site Surveillance Applications” with Dupri Grimes was accepted to the 2023 IEEE CCWC.
Kaavya Sri Ramarapu has joined the group for her thesis research work. Learn more from Kaavya here: https://hipe.wp.txstate.edu/people
