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Research projects at SUNY Poly announced

Posted 8/19/19

MARCY — Funding of $1 million in seed grants over three years to support the growth of research efforts among faculty was announced by SUNY Polytechnic Institute. The funding through the overall …

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Research projects at SUNY Poly announced

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MARCY — Funding of $1 million in seed grants over three years to support the growth of research efforts among faculty was announced by SUNY Polytechnic Institute.

The funding through the overall SUNY (State University of New York) system will support research ranging from quantum information science to advanced manufacturing, according to the announcement.

SUNY Chancellor Kristina M. Johnson said “by providing these seed grants to our resident faculty experts, we are continuing to actualize SUNY’s legacy of pioneering research that holds incredible promise...."

SUNY Poly interim President Grace Wang congratulated "each of these accomplished faculty members on receiving their respective awards, which are great examples of the types of leading-edge, cross-campus, collaborative research that holds the promise to catalyze important societal advancements as it underscores the depth and breadth of our faculty’s areas of expertise.”

SUNY Poly has campuses in Marcy and Albany. Among research projects that primarily will be at the Marcy campus:

Assistant Professor of Applied Mathematics Emilio Cobanera will address methods of theoretical physics to look for materials that could be used to build quantum memories that are functional in realistic conditions and do not need constant monitoring or error correction.

Assistant Professor of Computer Science Chen-Fu Chiang will address topics including near-term quantum technologies and quadratic speed.

Associate Professor of Mathematics William Thistleton will be involved in projects aimed at strengthening and highlighting SUNY Poly’s collaborative ecosystem.

Associate Professor of Mathematics Edmond Rusjan will cross scientific disciplines with a project titled "“Geometric Reconstruction of Vascular Tree Networks for Blood Flow Analysis.”

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