Is that layout on those tiles?
Welcome to the ICE Laboratory Site @ GT
The lab has two current focus directions:
From these two areas of focus, we research
analog and digital integrated circuits and systems design,
CMOS device physics.
- Programmable and configurable,
analog and digital,
circuits, signal processing, algorithms, and systems
- Neuromorphic Engineering
Lead Professor: Dr. Jennifer Hasler
Topically Organized Publications
Recent Courses Taught
on the importance of the Faculty--Ph.D. Student Mentoring Relationship
(GT press: April 11, 2016)
Programmability and Configurability
We want to have
systems based on neuroscience,
to perform biological like tasks,
and thereby contribute to neuroscience understanding.
large-scale Field Programmable Analog Arrays (FPAA).
First System on Chip (SoC) FPAA
Integrated Circuit 
- FPAA design tools .
- FPAA board design / Educational Applications.
- Floating-gate programming.
SoC FPAA programming infrastructure .
- Press articles on the SoC FPAA and infrastructure
Electronic Products  and
GT press .
References : |
 S. George, S. Kim, S. Shah, et. al,
"A Programmable and Configurable Mixed-Mode FPAA SOC,”
IEEE Transactions on VLSI, 2016.
 M. Collins, J. Hasler, and S. George,
"An Open-Source Toolset Enabling Analog–Digital–Software Codesign,"
Journal of Low Power Electronics Applications, January 2016.
J. Hasler, S. Kim, S. Shah, F. Adil, M. Collins, S. Koziol, and S. Nease,
"Transforming Mixed-Signal Circuits Class through SoC FPAA IC, PCB, and Toolset,"
European Workshop on Microelectronics Education, Southampton, May 2016.
J. Hasler, S. Shah, S. Kim, I. Lal, and M. Collins,
"Remote FPAA System Setup Enabling Wide Accessibility of Configurable devices,"
Journal of Low Power Electronics Applications, June 2016.
 S. Kim, J. Hasler, and S. George,
"Integrated Floating-Gate Programming Environment for System-Level Ics,"
IEEE Transactions on VLSI , 2016.
 Electronic Product Magazine, March 21, 2016.
"New analog chip uses 1,000 times less electrical power (and can be built a hundred times smaller) than comparable digital devices"
References : |
 J. Hasler, H. B. Marr,
"Finding a Roadmap to achieve Large Neuromorphic Hardware Systems,"
Frontiers in Neuroscience, vol. 7, no. 118, September 2013. pp. 1-29.