HiPE Research Group — Ingram School of Engineering
Co-authored the paper 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.
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.
Industry panel invitation on “Certification and Challenges for Autonomy in Safety-Critical Systems, with a Bias Towards Autonomy in Space” to the IEEE RTSS 2022.
Invited to talk at the IEEE 8th World Forum Internet of Things – discussion on “IoT and Technologies to Respond to Fire Emergencies,” Vertical Topic: Computing and Processing.
Our panel on “The Future of Smart Ecosystem Empowered by IoT Collaborative Technologies” was accepted and will be presented at the IEEE GLOBECOM 2022.
Our panel on “Agriculture in the Age of Advanced Technology” was accepted and will be presented at the IEEE Future Networks World Forum 2022.
Invited by the CoSE TXST Faculty to speak at our SyDATA 2022 Symposium:
NSF STTR for real-time mineral data collection and identification module, which will incorporate machine learning and a unique sensor package to analyze the walls of mineral exploration and geotechnical boreholes. Newsroom: Texas State University:
Happy to be part of The Texas State University System’s Data Science Pathways on the Zeus platform faculty. Read about the certification program at zeus.tsus.edu
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 project for this summer/fall.