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Adaptive Integrated Microsystems Laboratory |
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"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
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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 |
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Yang Liu (Ph.D Candidate)
Research Interest:
Interface between Nanosensors and Mixed-signal VLSI, Computational
biosensing system , Ultra-Low power Analog & Mixed-signal |
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 |
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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 |
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Questions and comments: shantanu at msu dot edu |