Paul Franzon
Biography
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
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Ph.D.
1988
Electrical Engineering
University of Adelaide, Australia -
Bachelor's
1984
Electrical Engineering
University of Adelaide, Australia -
Bachelor's
1982
Physics and Mathematics
University of Adelaide, Australia
Recent Publications
- A Deep Transfer Learning Design Rule Checker With Synthetic Training (2023)
- Chiplet Set For Artificial Intelligence (2023)
- Thermal Cycling and Fatigue Life Analysis of a Laterally Conducting GaN-based Power Package (2023)
- Thermal Estimation for 3D-ICs through Generative Networks (2023)
- Design Obfuscation Through 3-D Split Fabrication With Smart Partitioning (2022)
- FAXID: FPGA-Accelerated XGBoost Inference for Data Centers using HLS (2022)
- Hardware Implementation of Hierarchical Temporal Memory Algorithm (2022)
- High Dimensional Optimization for Electronic Design (2022)
- Modeling of Adaptive Receiver Performance Using Generative Adversarial Networks (2022)
- RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks (2022)
Involvement
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IEEE EPS Society
Associate Editor
Books
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
Recent News

Faculty and Ph.D. Student win DesignCon Best Paper Award
Posted on August 1, 2023 | Filed Under: Faculty and Grad Students and News
Dr. Paul Franzon and recent computer engineering Ph.D. graduate, Priyank Kashyap, won the DesignCon 2023 Best Paper Award for their “Data-Driven PAM4 SerDes Modeling with Generative Adversarial Network” paper.

ECE Students Win Best Poster Award from CAEML
Posted on January 13, 2023 | Filed Under: News
Priyank Kashyup and Yuejiang Wen each won the Best Poster Award at CAEML’s Fall 2022 Semiannual Meeting.

New Approach From ECE Researchers Allows for Faster Ransomware Detection
Posted on May 19, 2022 | Filed Under: Research
NC State Electrical and Computer Engineering researchers have developed a new approach for implementing ransomware detection techniques, allowing them to detect a broad range of ransomware far more quickly than previous systems.
Media Mentions

AI Expands Role in Design
January 31, 2018

Machine Learning Offers Helping Hand To Edit Chips
July 6, 2017
It might not fit electronic design automation at all, said Paul Franzon, a professor of electrical and computer engineering at North Carolina State University.

New NCSU research leads to 25% smaller RFID tags
May 9, 2016
Engineering researchers at North Carolina State University have developed a suite of techniques that allow them to create passive radio-frequency identification (RFID) tags that are 25 percent smaller and therefore less expensive. Dr Paul Franzon featured.