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Category: Computer Vision

Welcome Mimi and Nathan!

Welcome Mimi Fariha  and Nathan Charles to the HiPE research group to work on the USDA’s AnimalCareBot project.

Posted on September 3, 2025Categories Computer Vision, Deep Learning, Embedded, Robotics, Technology

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

Posted on March 12, 2025Categories AR, Computer Vision, Deep Learning, Drones, Embedded, Image Processing, IoT, Machine Learning, Robotics, Talks, Technology

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“

Posted on December 3, 2024December 3, 2024Categories Analytics, AR, Awards, Computer Vision, Deep Learning, Image Processing, IoT, Machine Learning, Robotics, Technology

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).

Posted on April 21, 2024Categories Computer Vision, Deep Learning, Embedded, Image Processing, IoT, Machine Learning, Papers, Robotics

HiPE@SXSW2024

The HiPE research group Smart Firefighting team is heading to SXSW through the TXST Corporate & Foundation Partnerships Innovation Lab event. We will showcase our Smart Firefighting project in partnership with Translational Health Research Center!

Link: SXSW 2024 Innovation Lab

Posted on February 26, 2024Categories Computer Vision, Deep Learning, Drones, Embedded, Image Processing, IoT, Machine Learning, Poster, Reinforcement Learning, Robotics, Technology

THRC HSS POSTER!

Dr. Valles will be discussing health research at #thrcHSS. Join @THRCtxst on March 1st to learn more about my research on Autonomous Innovation: Revolutionizing Urban Firefighting with Data and Artificial Intelligence.

Posted on February 17, 2024February 21, 2024Categories AR, Computer Vision, Deep Learning, Drones, Embedded, Image Processing, IoT, Machine Learning, Poster, Reinforcement Learning, Robotics, Technology

Welcome USDA Team!

HiPE’s collaboration with USDA’s AnimalCareBot Project at TXST welcomes the first cohort of research students: Rose Ochoa | Kevin C. Guerra | Jamal Close

Posted on January 29, 2024Categories Computer Vision, Deep Learning, Image Processing, IoT, Machine Learning, People, Robotics, Technology

AIIoT’23 Paper Accepted!

Gavin’s, Dylan’s, and Dr. Valles’ collaborative paper “Data Collection and Real-Time Facial Emotion Recognition in iOS Apps With CNN-Based Models” was accepted to the IEEE World AI IoT Congress 2023 (AIIoT).

Posted on May 10, 2023May 24, 2023Categories Computer Vision, Deep Learning, Papers

Journal Published!

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.

Posted on May 2, 2023May 10, 2023Categories Computer Vision, Deep Learning, Papers

DAS’23 Research Poster

Saad Rafiq and Erich Ellsworth will present their research poster on Smart City Firefighting Autonomous Data Collection at the TXST Data Analytics Showcase.

Posted on March 29, 2023April 1, 2023Categories Computer Vision, Deep Learning, IoT, Machine Learning, Poster, Technology

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