Adaptive Integrated Microsystems Laboratory

"bringing intelligence into micro-nano-systems"

The focus of our research group is integration of adaptive and machine learning techniques with micro-systems to achieve ultra-low power and robust operation

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Director

Dr. Shantanu Chakrabartty, Assistant Professor, ECE Department                    Research Interest: Analog VLSI, Machine Learning, Nano-biosensors, biomedical instrumentation   

Web-page:   http://www.egr.msu.edu/~shantanu

  

               Amit Gore (PhD. Candidate)                  Research Interest: MIMO Analog-to-digital converters, biomedical instrumentation, Low-power potentiostat     http://www.egr.msu.edu/~goreamit

Paul Kucher (M.S Candidate)             Research Interest: Nano-power integrated circuits, support vector machines, acoustic recognition, sub-threshold MOS circuits     http://www.kucher.org

Yang Liu (Ph.D Candidate)                   Research Interest:   Interface between Nanosensors and Mixed-signal VLSI, Computational biosensing system , Ultra-Low power Analog & Mixed-signal
VLSI systems                        http://www.egr.msu.edu/~liuyang4

             Amin Fazel (PhD candidate)               Research Interest: Analog-to-Information converters, Sigma-Delta Learning, Independent Component Analysis, Speech processing, recognition and speaker verification. http://www.egr.msu.edu/~fazel

Nizar Lajnef (PhD. Candidate)               Research Interest:   Health monitoring of civil engineering and biological structures, self-powered sensors , bio-MEMS http://www.egr.msu.edu/~lajnefni

       Chenling Huang (Ph.D Candidate)            Research Interest: Biomechanical implants, radio-frequency identification, ultra-low power integrated circuits, floating-gate sensors.  http://www.egr.msu.edu/~huangc33

Questions and comments: shantanu at msu dot edu