Paul Franzon

Cirrus Logic Distinguished Professor Director of Graduate Programs
 919-515-7351
  paulf@ncsu.edu
 Monteith Research Center (MRC) 443
 Campus Box 7911
 Website
   YouTube Channel

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

  • 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

Funded Research

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

Franzon Selected for Qualcomm Faculty Award

Posted on May 21, 2021 | Filed Under: Faculty

Dr. Paul Franzon has been awarded a 2021 Qualcomm Faculty Awards for research that is inspirational to graduate students and serves to spark new approaches in key technology areas.

Smaller Chips Open Door to New RFID Applications

Posted on May 17, 2021 | Filed Under: Research

Researchers have made what is believed to be the smallest state-of-the-art RFID chip.

Dai and Franzon win 2019 Qualcomm Faculty Award

Posted on July 22, 2019 | Filed Under: Awards

Dr. Huaiyu Dai and Dr. Paul Franzon have been awarded 2019 Qualcomm Faculty Awards for research that is inspirational to graduate students and serves to spark new approaches in key technology areas.

Recent 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.

 

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