Paul Franzon
Cirrus Logic Distinguished Professor
Director of Graduate Programs
My teaching and research focuses on building microsystems (systems constructed of silicon chips, both analog and digital, and silicon micomachined components) for applications in computing, communications, sensors, robotics, and signal processing.
Education
1982 BS in Physics and Mathematics, Univ. Adealaide, Australia
1984 BS in Electrical Engineering, Univ. Adelaide, Australia
1988 PhD in Electrical Engineering, University of Adelaide, Australia
Highlighted Awards
Awards & Honors
- 2007 - Australian Defence Medal
- 2007, 2005 - ECE Graduate Teacher of the Year Award (NC State)
- 2007 - ECE Most Helpful Teacher of the Year Award (NC State)
- 2006 - ECE Teacher of the Year Award (NC State)
- 2006 - IEEE Fellow
- 2005 - ALCOA Distinguished Research Award (NC State)
- 2003 - Alumni Undergraduate Distinguished Professor (NC State)
- 2003 - NSW Australia Expatriate Scientist Award
- 2001 - Academy of Outstanding Teachers (NC State)
- 1997 - IEEE Student Branch, Teacher of the Year (NC State)
- 1993 - NSF Young Investigators Award
- 1990 - US Army Commendation Medal
Publications
- Asymmetric Transformer Design With Multiband Frequency Response for Simultaneous Power and Data Transfer (2020)
- Self-Evolution Cascade Deep Learning Model for High-Speed Receiver Adaptation (2020)
- 3-D-DATE: A Circuit-Level Three-Dimensional DRAM Area, Timing, and Energy Model (2019)
- Appliance Identification Algorithm for a Non-Intrusive Home Energy Monitor Using Cogent Confabulation (2019)
- 3D Design Styles (2018)
- 3D Integration: Technology and Design (2018)
- 3DIC Handbook Design and Test (2018)
- Electronic Design Automaton for 3D (2018)
- Exploring the Tradeoffs of Application-Specific Processing (2018)
- On using the volatile mem-capacitive effect of TiO2 resistive random access memory to mimic the synaptic forgetting process (2018)
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