Congratulations to our labmates, Akshatha Mohan and Joshua Peeples, for the paper acceptance to the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2023! In this work, we present a comprehensive analysis of quantitatively evaluating explainable artificial intelligence (XAI) techniques for remote sensing image classification. The paper will be presented on Wednesday, July 12th in the Community Contributed Session Opening the Black Box: Explainable AI/ML in Remote Sensing Analysis I. Check out the paper here!
News
Ethan Barnes selected for internship with Lockheed Martin Aeronautics!
Congratulations to our labmate, Ethan Barnes, for securing an internship with Lockheed Martin Aeronautics for Summer 2023. Ethan will be Research Scientist (Signature) Intern. His duties include 1) performing component and air vehicle level Radar Cross Section (RCS) test, and 2) evaluation, execution, and production line and field non-conformance disposition coordination for Signature Integration Team. His work includes detailed RADAR data analysis, utility of the Fourier transform on RADAR data, Inverse Synthetic Aperture Radar (ISAR) image development, and artificial intelligence (AI) incorporation into aforementioned processes. We are excited to see your great work this summer!
Yash Zambre selected for internship with Qualcomm Technologies!
Congratulations to our labmate, Yash Zambre, for securing an internship with Qualcomm Technologies for Summer 2023. Yash will be Interim Engineering Intern. The goal of his project is to create a data repository of global navigation satellite system (GNSS) positioning data from different real-life scenarios in various environments and then design rules for selecting satellites based on multiple criteria like elevation angle, signal strength, and constellation/signal type to see the impact on positioning performance. His duties include 1) studying the impact of smart satellite selection logic for optimizing location accuracy performance and processor load balancing and 2) conducting thorough data analytics and building necessary tools to compare performance visually. We are excited to see your great work this summer!
Jarin Ritu wins first place in the 2023 CESG Poster Event!
Congratulations to our labmate, Jarin Ritu, for winning first place in the 2023 Computer Engineering and Systems Group Poster Event! Jarin shared her work on “Histogram Layer Time Delay Neural Network (HLTDNN) for Passive Sonar Target Classification.” Learn more about her project here!
Akshatha Mohan presents at TAMU Student Research Week!
Congratulations to our labmate, Akshatha Mohan, for presenting at the TAMU Student Research Week! Akshatha shared her ongoing work on explainable AI methods and metrics for remote sensing!
Spatial and Texture Analysis of Root System distribution with Earth mover’s Distance (STARSEED) Accepted to Plant Methods!
Congratulations to our lab and collaborators (Joshua Peeples, Weihuang Xu, Romain Gloaguen, Diane Rowland, Alina Zare, and Zachary Brym) for the paper acceptance to the Plant Methods journal! In this work, a novel method leveraging Earth Mover’s Distance was developed to compare root system distributions for agronomic discovery. Check out the paper here!
Histogram Layers for Synthetic Aperture Sonar Imagery Accepted to IEEE ICMLA 2022!
Congratulations to our lab and collaborators (Joshua Peeples, Alina Zare, Jeffery Dale, and James Keller) for the paper acceptance to the 2022 IEEE International Conference on Machine Learning and Applications (ICMLA)! In this work, a novel application of histogram layer models is investigated for synthetic aperture sonar (SAS) imagery. The paper will be presented on Monday, December 12th in the Image Processing Session II. Check out the paper here!