Michael Gilberti, Ph.D.

Affiliations: 
2009 Stony Brook University, Stony Brook, NY, United States 
Area:
CAD for electronic circuits and systems; specification, modeling, and synthesis of analog and mixed-signal circuits; Cyber-Physical and embedded (hardware-software) systems; methodologies for innovation in electronic design.
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"Michael Gilberti"

Parents

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Alex Doboli grad student 2009 SUNY Stony Brook
 (Networked adaptive classification for cyber-physical systems.)
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Publications

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Subramanian V, Gilberti M, Doboli A, et al. (2012) A goal-oriented programming framework for grid sensor networks with reconfigurable embedded nodes Transactions On Embedded Computing Systems. 11
Ferent C, Gilberti M, Doboli A. (2010) Real-time gas cloud detection by data aggregation in networks of embedded sensors 2010 Ieee International Systems Conference Proceedings, Syscon 2010. 211-216
Ferent C, Subramanian V, Gilberti M, et al. (2010) Linear programming approach for performance-driven data aggregation in networks of embedded sensors Proceedings -Design, Automation and Test in Europe, Date. 1456-1461
Sun P, Ferent C, Gilberti M, et al. (2009) Online AMS frontend reconfiguration for sensor network applications Ecctd 2009 - European Conference On Circuit Theory and Design Conference Program. 767-770
Gilberti M, Doboli A. (2009) Synergistic reconfiguration of adaptive precision chemical classifiers Proceedings - 2009 Nasa/Esa Conference On Adaptive Hardware and Systems, Ahs 2009. 181-188
Subramanian V, Gilberti M, Doboli A. (2009) Online adaptation policy design for grid sensor networks with reconfigurable embedded nodes Proceedings -Design, Automation and Test in Europe, Date. 1273-1278
Sun P, Gilberti M, Zhao Y, et al. (2008) Dynamic reconfiguration of mixed-domain embedded systems for applications with variable performance requirements Proceedings of the 2008 Nasa/Esa Conference On Adaptive Hardware and Systems, Ahs 2008. 323-329
Gilberti M, Doboli A. (2008) Adaptive precision neural networks for image classification Proceedings of the 2008 Nasa/Esa Conference On Adaptive Hardware and Systems, Ahs 2008. 244-251
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