Bina has different meanings in different languages but the most prominent ones are “Vision” and “Knowledge”.

Bina lab is a multidisciplinary research lab for employing advanced computer vision, machine learning, and remote sensing techniques to discover new knowledge of our environment.

NSF
EarthCube
aws
Arctic Program
amazon research awards
Microsoft
IBM
AWS Machine Learning Research Awards
AgriLife
• Bina lab is organizing FloodNet challenge at CVPR 2021! Participants will receive up to $15,000 cloud credit from Microsoft!

• NSF Research News: Researchers speed up analysis of Arctic ice and snow data through artificial intelligence

• Bina Lab received Amazon Machine learning research award for Combining Model-Based and Data Driven Approaches to Study Climate Change. Thank you, Amazon!

• Bina lab received Microsoft AI for Earth grant for Rapid Response and Recovery after a Hurricane Using AI, Thank you Microsoft!
Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy, Odair Fernandes,   "Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment",   Proceedings of IEEE International Conference on Big Data, 2020  
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Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden,   "Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks",   Proceedings of IEEE International Conference on Big Data, 2020  
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Maryam Rahnemoonfar, Masoud Yari, John Paden, Lora Koenig, Ibikunle Oluwanisola,   "Deep Multi-Scale Learning for Automatic Tracking of Internal Layers of Ice in Radar Data",   Journal of Glaciology, pp. 1-10, 2020 [Impact Factor: 3.26]  
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Maryam Rahnemoonfar, Tashnim Chowdhury, Argo Sarkar, Debvrat Varshney, Masoud Yari, Robin Murphy,   "FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding",   arXiv, 2020  
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X. Hu, Maryam Rahnemoonfar, T. Jin,   "Image translation between SAR and optical imagery for Arctic wildfire analysis",   Proceedings of IEEE International Conference on Big Data, 2020  
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Masoud Yari, Maryam Rahnemoonfar, John Paden, L. Koenig, L. Montgomery, I. Oluwanisola,   "Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers",   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020  

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