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Pilot program in Potsdam aimed at increasing research collaboration

Posted 3/16/18

POTSDAM -- Clarkson University has launched a pilot grant program that school officials say will “advance research collaborations” across four research areas. The aim of this program is to drive …

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Pilot program in Potsdam aimed at increasing research collaboration

Posted

POTSDAM -- Clarkson University has launched a pilot grant program that school officials say will “advance research collaborations” across four research areas.

The aim of this program is to drive innovative research.

The research concepts involved are advanced materials development, healthy world solutions, data and complex systems analytics, and next-generation health technologies.

The program has received 35 proposals from 68 faculty, 22 of whom are participating in two or more proposals.

All proposals were reviewed by peers, mostly external, for scientific merit, societal impact, feasibility, and fundability.

Awarded research fellowships were:

• Marko Budisic (Math), Pat Piperni (MAE) and Brian Helenbrook (MAE) in Data & Complex Systems Analytics project entitled, “Enhancing aerodynamic optimization using dynamic mode decomposition of unsteady flows”

• Zijie Yan (CBE) and Jan Scrimgeour (Phy) in Advanced Materials Development project entitled, “Hybrid nanomaterials with plasmonic-enhanced upconversion luminescence”

• Mario Wriedt (Chem) and David Mitlin (CBE) in Advanced Materials Development project entitled, “Advanced CO2 capture capacities by porous carbons derived from biomasses”

• Selma Mededovic (CBE), Tom Holsen (CEE) and Michelle Crimi (E&M) in Healthy World Solutions project entitled, “Development of a plasma-based process for treatment of perfluoroalkyl substances (PFASs) in ion exchange brine regenerant solution”

• Daqing Hou (ECE), Stephanie Schuckers (ECE) and Mahesh Banavar (ECE) in Data & Complex Systems Analytics primary area and Healthy World Solutions as secondary area project entitled, “Next generation behavioral biometrics: capturing more application usage behavior”

• Chen Liu (ECE) and Tino Tamon (CS) in Data & Complex Systems Analytics project entitled, “Using low-level hardware features for runtime malware detection and defense”