Paolo PAVAN

About Paolo PAVAN

Paolo PAVAN, With an exceptional h-index of 35 and a recent h-index of 21 (since 2020), a distinguished researcher at Università degli Studi di Modena e Reggio Emilia,

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

Unobtrusive Multimodal Monitoring of Physiological Signals for Driver State Analysis

From Accelerated to Operating Conditions: How Trapped Charge Impacts on TDDB in SiO2 and HfO2 Stacks

Physical insights into trapping effects on vertical GaN-on-Si trench MOSFETs from TCAD

Correlating Interface and Border Traps With Distinctive Features of C–V Curves in Vertical AlO/GaN MOS Capacitors

The Major Effect of Trapped Charge on Dielectric Breakdown Dynamics and Lifetime Estimation

Ultra-low power logic in memory with commercial grade memristors and FPGA-based smart-IMPLY architecture

ANGELS-Smart Steering Wheel for Driver Safety

Driver drowsiness detection: a machine learning approach on skin conductance

Paolo PAVAN Information

University

Position

Professor of Electronics

Citations(all)

7016

Citations(since 2020)

2344

Cited By

5473

hIndex(all)

35

hIndex(since 2020)

21

i10Index(all)

126

i10Index(since 2020)

65

Email

University Profile Page

Google Scholar

Top articles of Paolo PAVAN

Unobtrusive Multimodal Monitoring of Physiological Signals for Driver State Analysis

IEEE Sensors Journal

2024/4/11

From Accelerated to Operating Conditions: How Trapped Charge Impacts on TDDB in SiO2 and HfO2 Stacks

IEEE Transactions on Device and Materials Reliability

2024/4/1

Physical insights into trapping effects on vertical GaN-on-Si trench MOSFETs from TCAD

Journal of Semiconductors

2024

Correlating Interface and Border Traps With Distinctive Features of C–V Curves in Vertical AlO/GaN MOS Capacitors

IEEE Transactions on Electron Devices

2023/11/27

The Major Effect of Trapped Charge on Dielectric Breakdown Dynamics and Lifetime Estimation

2023/10/8

Ultra-low power logic in memory with commercial grade memristors and FPGA-based smart-IMPLY architecture

Microelectronic Engineering

2023/8/15

ANGELS-Smart Steering Wheel for Driver Safety

2023/6/8

Driver drowsiness detection: a machine learning approach on skin conductance

Sensors

2023/4/15

A unified framework to explain random telegraph noise complexity in MOSFETs and RRAMs

2023/3/26

Local electric field perturbations due to trapping mechanisms at defects: What random telegraph noise reveals

Journal of Applied Physics

2023/3/21

Study of RRAM-Based Binarized Neural Networks Inference Accelerators Using an RRAM Physics-Based Compact Model

2023/3/13

Reliability of HfO2-Based Ferroelectric FETs: A Critical Review of Current and Future Challenges

2023/2/1

A hybrid cmos-memristor spiking neural network supporting multiple learning rules

IEEE Transactions on Neural Networks and Learning Systems

2022/9/13

Smart material implication using spin-transfer torque magnetic tunnel junctions for logic-in-memory computing

Solid-State Electronics

2022/8/1

Spatially Controlled Generation and Probing of Random Telegraph Noise in Metal Nanocrystal Embedded HfO2 Using Defect Nanospectroscopy

ACS Applied Electronic Materials

2022/7/19

Driver drowsiness detection based on variation of skin conductance from wearable device

2022/7/4

Combining experiments and a novel small signal model to investigate the degradation mechanisms in ferroelectric tunnel junctions

2022/3/27

The relevance of trapped charge for leakage and random telegraph noise phenomena

2022/3/27

Exploiting blood volume pulse and skin conductance for driver drowsiness detection

2022/11/16

The impact of electrostatic interactions between defects on the characteristics of random telegraph noise

IEEE Transactions on Electron Devices

2022/10/20

See List of Professors in Paolo PAVAN University(Università degli Studi di Modena e Reggio Emilia)