Officially became a Faculty Fellow for the Translational Health Research Center (THRC) at Texas State University for FY2023.
Category: Machine/Deep Learning
RoundTable on YouTube
Summit 360 Digital RoundTable:
New Article!
Co-authored the paper, Enhancing Safety and Efficiency in Firefighting Operations via Deep Learning and Temperature Forecasting Modeling in Autonomous Unit, published in MDPI’s Sensors, Volume 23, Issue 10.
New Article!
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.
Data Analytics Showcase (DAS’23)
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.
Panel Invitation to RTSS’22
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 Talk @ WF-IoT’22
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.
PANEL ACCEPTED TO GLOBECOM22!
Our panel on “The Future of Smart Ecosystem Empowered by IoT Collaborative Technologies” was accepted and will be presented at the IEEE GLOBECOM 2022.
Panel Accepted to FNWF22!
Our panel on “Agriculture in the Age of Advanced Technology” was accepted and will be presented at the IEEE Future Networks World Forum 2022.
SyData 2022 Invitation!
Invited by the CoSE TXST Faculty to speak at our SyDATA 2022 Symposium:
