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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
  • Jan 2014: Four AIMLab papers to appear in the ISCAS2014, Melbourne, Australia.
  • Dec 2013: Yuan's RFID biosensor paper to appear in IEEE Sensors Journal.
  • Oct 2013: AIMLab's self-powered sensor featured in CBS news.
  • Sep 2013: Start of new USDoT EAR project for investigating PFG based self-powered sensors for bridge highway monitoring.
  • Aug 2013: Start of new NIH sponsored project for designing motion artifact cancelling integrated circuits
  • July 2013: Gu's logarithmic amplifier paper to appear in IEEE Transactions of Biomedical Circuits and Systems.
  • June 2013: Zhou's paper on scavenging thermal-noise energy receives a best paper award at ISCAS'2013.
  • More AIMLab news ...

 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