Adaptive Integrated Microsystems Laboratory

"Pushing the Limits of Analog Computing and Sensing"

(Download AIMLab Research Brochure)

Our research explores new frontiers in non-conventional analog computing and sensing 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 Computing
  Recent News
  • Apr 2015: AIMLab developing self-powered networking technology for embedded structural health monitoring (Article).
  • Mar 2015: AIMLab's self-powered technology could power buried and implanted IoT sensors (Article).
  • Mar 2015: Feng's paper on Self-powered time-dilation for head-impact monitoring to appear in IEEE Transactions of Biomedical Circuits and Systems.
  • Feb 2015: Self-powered sensing technology featured by National Science Foundation (Article).
  • Feb 2015: Feng's paper on Near-field Ultrasonic Energy Harvesting to appear in IEEE Transactions of VLSI.
  • Nov 2014: Starting July 2015, AIMLab's new home would be in the Computer Science and Engineering Department at Washington University in St. Louis.
  • More AIMLab news ...

 Self-powered Computing

Bias-scalable Analog Computing
 Bio-silicon Hybrid Computing


Bio-inspired Computing 
adc Floating-gate and Nanowatt Computing 


 Embedded Machine Learning

Questions and comments: shantanu at msu dot edu