Dr. Valles’s collaborative paper, “Edge-AI Framework for Air Quality Index (AQI) Forecasting with Quantized Deep Learning Models,” was accepted for presentation at the 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), UNLV, Las Vegas, Nevada.
Md Sakif Uddin Khan is joining the HiPE group for his thesis work in USDA’s AnimalCareBot’s Transformer-Based Vision Classification and Segmentation Modeling. Welcome!
Annabella Wagner‘s, Evren Aslan‘s, and Daniel Marimekala‘s paper, “Predicting Toxic Gas Levels in Structure Fires Using Machine Learning,” was accepted to the 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON–2025), held at the IBM Learning Center in Armonk, New York.
Dr. Valles’s collaborative papers “Forecasting Sea Water Level Using Deep Learning Models for Enhanced Coastal Flood Management and Mitigation,” “Utilizing AI to Support Conversations in Individuals with ASD,” and “The Use of Machine Learning to Model Player Readiness in Female Collegiate Volleyball Players” were accepted to the 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON–2025), IBM Learning Center, Armonk, New York.
Kaavya Sri Ramarapu‘s paper “Multi-Modal Emotion Temporal Environment Facial Classification to Help Children with ASD” was accepted to the 2025 IEEE 16th Annual Ubiquitous Computing, Electronics, and Mobile Communications Conference (UEMCON–2025), IBM Learning Center, Armonk, New York.
Welcome Mimi Fariha and Nathan Charles to the HiPE research group to work on the USDA’s AnimalCareBot project.
Dr. Valles‘s collaborative paper “Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods” was accepted to the 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS2025), Los Angeles, USA.
Dr. Valles‘s collaborative papers “Motor Fault Diagnosis Across Variable Power Using Deep Learning,” “FPGA-based Matrix Multiplication Accelerator,” and “Image Restoration With Variational Dynamic Memory Net, U-Net and Lnns” were accepted to the 2025 IEEE International Conference on Computer, Information, and Telecommunication Systems (CITS 2025), Comar, France.
Kaavya Ramarapu has successfully defended her thesis titled “Environmental Emotion Recognition for Children with ASD“
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.
