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Congratulation to Aditya Dutt for publishing his new paper: Contrastive learning based MultiModal Alignment Network

Congratulations to our labmates and collaborators: Aditya Dutt, Alina Zare, and Paul Gader! Their paper, “Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data”, was recently accepted to IEEE Journal of Selected Topics… Read More

Welcome new PhD student Matt Wein!

  The Machine Learning and Sensing Lab is excited to welcome Matt Wein as a new PhD student! Matt will be analyzing hyperspectral imagery for macrosystems under the Integrating Data science with Trees and Remote Sensing (IDTReeS) project. Matt’s research… Read More