News

Emma Bennett and Minasadat Attari landed a funded summer internship (June – Aug 2025) at the University of Missouri’s Quantum Innovation Center.

Congratulations to Sara Shojaei and Emma Bennett from MAVI Lab for winning 2nd place at the Graduate Student Association (GSA) Show Me Class Project event!

Our lab congratulates Dr. Filiz Bunyak Ersoy on receiving the University of Missouri’s Junior Faculty Excellence in Teaching Award.

Big congratulations to Minasadat Attari for receiving the Graduate Winner Award at the 2025 Show Me Research Week!

Sara Shojaei presented “Adaptive Structure-Aware Connectivity-Preserving Loss for Improved Road Segmentation in Remote Sensing Images” at MU’s Show-Me Research Week 2025.

Congratulations to Emma Bennett for presenting two of her research projects at SPIE Defense and Commercial Sensing 2025!

Emma Bennett presented her poster at MU Show-Me Research Week 2025.

Sara Shojaei gave an oral presentation on “Adaptive Structure-Aware Connectivity-Preserving Loss for Improved Road Segmentation in Remote Sensing Images” at WACV 2025.

Sara Shojaei also presented a poster on the same work during WACV 2025.

Tom, Trevor, and Sara presented “AI-Driven Building and Road Segmentation in Remote Sensing Images: Balancing Accuracy, Boundary Clarity, and Connectivity” at the Mizzou AI Symposium 2025.

MAVI Lab researchers presented “Deep Learning-Based Segmentation of Buildings and Road Networks in Complex Urban Scenes” at Taylor Geospatial Geo-Resolution 2024 in St. Louis.

MAVI Lab congratulates Prashanth Reddy Kotha, for winning 1st place in the Engineering Sciences and Informatics category at the 40th Annual RCAF Spring Forum.

We’re proud to share that Minasadat Attari, presented her poster titled “Microvascular Structure Analysis Using Machine Learning” at the 40th Annual RCAF Spring Forum.

Prashanth Reddy Kotha and Minasadat Attari presented their poster, “Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests,” at the 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) in Saint Louis.

Our paper “Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images” was selected for an oral presentation at the 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) in Saint Louis, USA.