The EnyAC research group develops tools and methods for sustainable computing, computing for sustainability and life science applications. From its inception in 2000, the EnyAC research group has worked on novel computing paradigms and computer-aided design (CAD) tools for energy, variability and reliability aware computing, all aiming for sustainable computing. Currently, this work is part of the NSF-funded Statistical Learning in Chip (SLIC) project. More recently, our group's research addressed modeling, analysis, and optimization of social and life science applications, including river network modeling for renewable energy generation (RyvERS, a NSF CyberSEES funded project) and hardware emulation of cell signaling networks by computer-aided design means (AIMCancer, a DARPA Big Mechanism funded project).
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