Before joining BU, I was a post-doctoral reseacher in the GRASP Laboratory at University of Pennsylvania under the supervision of Prof. Kostas Daniilidis and Prof. Vijay Kumar.
I obtained my PhD degree in Electrical and Computer Enginnering at the Johns Hopkins University in 2012. I worked as a Research Assistant in the Vision Lab under the supervision of Prof. René Vidal.
My research interests lie at the intersection of automatic control, robotics and computer vision. I am particularly interested in applications of Riemannian geometry and in distributed problems involving teams of multiple agents.
My doctoral research focused on distributed optimization algorithms for camera sensor networks. In particular, I proposed intrinsic consensus algorithms for agents with states evolving on Riemannian manifolds, with applications in computer vision such as pose estimation and network camera localization.
I am currently working on extending the tools developed during my doctoral research to other areas in automatic control (visual homing, vision-based formation control) and pure computer vision (characterization of the space of essential matrices).
I am also interested in subspace clustering and its application to motion segmentation in videos. I am the main author of the Hopkins 155 dataset, a popular benchmark for multiview affine motion segmentation.