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Adaptive Integrated Microsystems Laboratory

"Pushing the Limits of Hybrid Signal Processing"

Our research explores new frontiers in non-conventional signal processing techniques using CMOS and hybrid substrates. These include approaching limits of energy efficiency, sensing and resolution by exploiting computational primitives inherent in the physics of devices, sensors and the underlying noise processes and adaptation.

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  Mixed-signal Processing
  Recent News
  • Apr 2012: AIMLab's Self-powered Sensor awarded the 2012 Innovation of the Year Award
  • Feb 2012: Aono awarded a grant from the Michigan Space Grant Consortium (MSGC)
  • Jan 2012: Three papers from AIMLab will appear in IEEE Symposium on Circuits and Systems, Seoul, Korea
  • Dec 2011: Fazel's SPARK speech feature extractor to appear in IEEE Transactions of Audio, Speech and Language Processing
  • Nov 2011: Two new US patents: 8,060,810 and 8,056,420 issued to Chakrabartty
  • Oct 2011: Huang's complete piezo-floating-gate sensor IC paper to appear in IEEE Journal of Solid-state Circuits.
  • Aug 2011: Huang and Sarkar's Linear Floating-gate Injector paper to appear in IEEE Journal of Solid-state Circuits.
  • July 2011: Gu's Bias-scalable Synthesis paper to appear in IEEE Transactions of Circuits and Systems.
  • June 2011:Gu's Analog LDPC paper published in IEEE Journal of Solid-state Circuits.
  • May 2011: Huang's hybrid energy scavenging paper receives honorary mention for the Best Paper Award at ISCAS.
  • Feb2011: Chakrabartty awarded MSU Teacher-Scholar Award.

 Self-powered Signal Processing

Bias-scalable Analog Signal Processing
biosensor
 Bio-silicon Hybrid Computing

microphone

Bio-inspired Signal Processing 
adc Floating-gate and Nanowatt Signal Processing 

KLPC

 Machine Learning algorithms

Questions and comments: shantanu at msu dot edu