Paul Franzon
Cirrus Logic Distinguished Professor
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
- High-Speed Receiver Transient Modeling with Generative Adversarial Networks (2024)
- RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost (2024)
- Chiplet Set For Artificial Intelligence (2023)
- Generative Multi-Physics Models for System Power and Thermal Analysis Using Conditional Generative Adversarial Networks (2023)
- System Aware Floorplanning for Chip-Package Co-design (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)
- A Deep Transfer Learning Design Rule Checker With Synthetic Training (2022)
- Design Obfuscation Through 3-D Split Fabrication With Smart Partitioning (2022)
- FAXID: FPGA-Accelerated XGBoost Inference for Data Centers using HLS (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
NC State Research Team Wins ASME Award for Pioneering Work on GaN-Based Power Package
Posted on November 10, 2023 | Filed Under: Awards and Grad Students and News and Research
A team from NC State won the Student Innovative Paper Award from the American Society of Mechanical Engineers (ASME) in the Microelectromechanical Engineering Division at the 2023 International Mechanical Engineering Congress & Expositi …
Faculty and Ph.D. Student win DesignCon Best Paper Award
Posted on August 1, 2023 | Filed Under: Awards and 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.
Media Mentions
AI Expands Role in Design
January 31, 2018
Several academia also shared their research progress under the auspice of Center for Advanced Electronics Through Machine Learning (CAEML) since its formation in 2016. Prof. Paul Franzon discussed how ML could shorten IC physical design step through the use of surrogate model.
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.