Presentations

Congratulations to our alumnus, Yash Zambre, for presenting at the 2024 IEEE International Conference on Machine Learning and Applications (ICMLA)! Yash shared his work on “Spatial Transformer Network for Agricultural Object Detection.” Check out the paper and code!

Congratulations to our labmate, Kosi Ezewudo, for presenting at the 2024 Undergraduate Summer Research REU Program (S-REU)! Kosi shared his work on “Generalized STARSEED for Hyphal Growth Image Analysis.” This work was in collaboration with Dr. Thomas Isakeit and Maxwell Sturdivant in the Department of Plant Pathology and Microbology.

Congratulations to our labmate, Akshatha Mohan, for presenting at the 2024 IEEE/CVF Computer Vision and Pattern Recognition Vision for Agriculture Workshop! Akshatha shared her work on “Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis”. Check out the paperand code.

Congratulations to our labmates, Amirmohammad Mohammadi, Akshatha Mohan, and Yash Zambre, for great presentations at the Electrical and Computer Engineering Spring 2024 Poster Event! We shared about our work on our passive sonar classification and Agricultural image classification and object detection. 

Congratulations to our labmates, Akshatha Mohan, Yash Zambre, Uday Vysyaraju, Kosi Ezewudo, and Jason Champage, for giving excellent presentations and leading a workshop on our AgriLife sponsored project at the 2024 AI in Agriculture and Natural Resources Conference! Akshatha also placed 2nd out of 59 submissions for the poster competition! 

Congratulations to Dr. Joshua Peeples for presenting at the TAMEST Protégé Poster Challenge! Dr. Peeples shared the ongoing work in our lab. Thanks to Dr. Frances Ligler for nominating Dr. Peeples for the Protégé Program.

Congratulations to our labmate, Yash Zambre, for presenting at the TAMU Data-Driven Intelligent Agricultural Systems Symposium! Yash shared our ongoing collaborative effort with TAMU AgriLife on automated plant phenotyping. 

Congratulations to our labmate, Akshatha Mohan, for presenting at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2023! Akshatha shared her work on “Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification”. Check out the paper and code!

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!

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!