Paul Franzon

Paul Franzon

North Carolina State University

H-index: 38

North America-United States

About Paul Franzon

Paul Franzon, With an exceptional h-index of 38 and a recent h-index of 18 (since 2020), a distinguished researcher at North Carolina State University, specializes in the field of VLSI, electronic packaging, microsystems design, EDA.

His recent articles reflect a diverse array of research interests and contributions to the field:

Thermal estimation for 3D-ICs through generative networks

DepthGraphNet: Circuit Graph Isomorphism Detection via Siamese-Graph Neural Networks

Finite Element Analysis and Fatigue Life Prediction of a Laterally Conducting GaN-Based Power Package Under Thermal Cycling

Generative Adversarial Network Based Adaptive Transmitter Modeling

System Aware Floorplanning for Chip-Package Co-design

Chiplet set for artificial intelligence

Thermal Cycling and Fatigue Life Analysis of a Laterally Conducting GaN-based Power Package

Generative Multi-Physics Models for System Power and Thermal Analysis Using Conditional Generative Adversarial Networks

Paul Franzon Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

10880

Citations(since 2020)

2101

Cited By

9914

hIndex(all)

38

hIndex(since 2020)

18

i10Index(all)

147

i10Index(since 2020)

31

Email

University Profile Page

North Carolina State University

Google Scholar

View Google Scholar Profile

Paul Franzon Skills & Research Interests

VLSI

electronic packaging

microsystems design

EDA

Top articles of Paul Franzon

Title

Journal

Author(s)

Publication Date

Thermal estimation for 3D-ICs through generative networks

Priyank Kashyap

Prasanth P Ravichandiran

Lee Wang

Dror Baron

Chau-Wai Wong

...

2023/5/10

DepthGraphNet: Circuit Graph Isomorphism Detection via Siamese-Graph Neural Networks

Fin Amin

Soumyadeep Chatterjee

Paul D Franzon

2023/9/10

Finite Element Analysis and Fatigue Life Prediction of a Laterally Conducting GaN-Based Power Package Under Thermal Cycling

Pouria Zaghari

Sourish S Sinha

Jong Eun Ryu

Paul D Franzon

Douglas C Hopkins

2023/10/29

Generative Adversarial Network Based Adaptive Transmitter Modeling

Priyank Kashyap

Prasanth Prabu Ravichandiran

Dror Baron

Chau-Wai Wong

Tianfu Wu

...

2023/5/30

System Aware Floorplanning for Chip-Package Co-design

Tse-Han Pan

Paul D Franzon

Vaishnav Srinivas

Mahalingam Nagarajan

Darko Popovic

2023/10/15

Chiplet set for artificial intelligence

Joshua A Stevens

Tse-Han Pan

Prasanth Prabu Ravichandiran

Paul D Franzon

2023/5/10

Thermal Cycling and Fatigue Life Analysis of a Laterally Conducting GaN-based Power Package

Pouria Zaghari

Sourish S Sinha

Jong Eun Ryu

Paul D Franzon

Douglas C Hopkins

2023/5/10

Generative Multi-Physics Models for System Power and Thermal Analysis Using Conditional Generative Adversarial Networks

Priyank Kashyap

Chris Cheng

Yongjin Choi

Paul Franzon

2023/10/15

FAXID: FPGA-accelerated XGBoost inference for data Centers using HLS

Archit Gajjar

Priyank Kashyap

Aydin Aysu

Paul Franzon

Sumon Dey

...

2022/5/15

BETTER PERFORMANCE, HIGHER RELIABILITY, MORE SECURITY: RESEARCH HIGHLIGHTS FROM THE CENTER FOR ADVANCED ELECTRONICS THROUGH MACHINE LEARNING.

Electronic Device Failure Analysis

Aydin Aysu

Xu Chen

W Rhett Davis

Sung Kyu Lim

Paul Franzon

...

2022/5

High Dimensional Optimization for Electronic Design

Yuejiang Wen

Jacob Dean

Brian A Floyd

Paul D Franzon

2022/9/12

A deep transfer learning design rule checker with synthetic training

IEEE Design & Test

Luis Francisco

W Rhett Davis

Paul Franzon

2022/3/28

RxGAN: Modeling high-speed receiver through generative adversarial networks

Priyank Kashyap

Archit Gajjar

Yongjin Choi

Chau-Wai Wong

Dror Baron

...

2022/9/12

Solving the Inverse Problem Through Optimization—Applications to Analog/RF IC Design

Yi Wang

Paul Franzon

2022

Design obfuscation through 3-D split fabrication with smart partitioning

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Theodros Nigussie

Josh C Schabel

Steve Lipa

Lisa McIlrath

Robert Patti

...

2022/6/13

Modeling of adaptive receiver performance using generative adversarial networks

Priyank Kashyap

Yongjin Choi

Sumon Dey

Dror Baron

Chau-Wai Wong

...

2022/5/31

Fast and accurate ppa modeling with transfer learning

W Rhett Davis

Paul Franzon

Luis Francisco

Billy Huggins

Rajeev Jain

2021/11/1

A Scalable Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm

ACM Journal on Emerging Technologies in Computing Systems (JETC)

Sumon Dey

Lee Baker

Joshua Schabel

Weifu Li

Paul D Franzon

2021/6/30

A review of 3D-dynamic random-access memory based near-memory computation

Prasanth Prabu Ravichandiran

Paul D Franzon

2021/10/26

A 125 μm × 245 μm Mainly Digital UHF EPC Gen2 Compatible RFID Tag in 55 nm CMOS Process

IEEE Journal of Radio Frequency Identification

Kirti Bhanushali

Wenxu Zhao

W Shepherd Pitts

Paul D Franzon

2021/6/7

See List of Professors in Paul Franzon University(North Carolina State University)