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
  • Aug 2014: Lajnef's quasi-static self-powered sensing paper to appear in IEEE Sensors Journal.
  • Jun 2014: Chakrabartty presents self-powered sensing technology at NAE sponsored Japan-America Frontiers of Engineering.
  • May 2014: Buckling-driven hot-electron injection paper receives a best paper award at ISCAS 2014.
  • Apr 2014: Trung's hybrid rectifier paper to appear in TCAS-I.
  • 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.
  • More AIMLab news ...

 Self-powered Signal Processing

Bias-scalable Analog Signal Processing
 Bio-silicon Hybrid Computing


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


 Machine Learning algorithms

Questions and comments: shantanu at msu dot edu