Prof. Jennifer Hasler
Georgia Tech
RFID systems often have low-power, low-energy, and low supply voltage constraints while simultaneously requiring ever increasing computation in that constrained environment.
The past two decades have seen considerable amount of energy-efficient
computing techniques based on analog techniques validating Carver Mead’s
1990 hypothosis that analog computing should be 1000x or more efficient than corresponding digital computation. One approach that enables programmable and configurable approaches are the large-scale Field Programmable Analog Arrays (FPAA), an approach that includes a family of devices, and resulting design tools that are innovating a path for automated analog design.
This talk will review these various approaches, discuss how to adapt these
techniques to RFID applications, as well as give a picture of where these
techniques could positively impact RFID applications. The talk will discuss how FPAA devices could be adapted to operate in very low voltage
applications (e.g. 250-500mV) typical of RFIC voltage supplies.
Prof. Jennifer Hasler received her B.S.E. and M.S. degrees in electrical engineering from Arizona State University in August 1991. She received her Ph.D. in computation and neural systems from California Institute of Technology in February 1997, and she received her Master of Divinity degree from the Candler School of Theology at Emory University in 2020.
Dr. Hasler is a professor at the Georgia Institute of Technology in the School of Electrical and Computer Engineering; Atlanta is the coldest climate in which Dr. Hasler has lived. Dr. Hasler founded the Integrated Computational Electronics (ICE) laboratory at Georgia Tech, a laboratory affiliated with the Laboratories for Neural Engineering. Dr. Hasler is a member of Tau Beta P, Eta Kappa Nu, and the IEEE.
