Sara Vinco

About Sara Vinco

Sara Vinco, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of Simulation and validation of heterogeneous embedded systems, Energy efficient electronic design automation.

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

A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring

Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices

Model-Driven Feature Engineering for Data-Driven Battery SOH Model

Model-Driven Dataset Generation for Data-Driven Battery SOH Models

Multi-Domain Fault Models Covering the Analog Side of a Smart or Cyber-Physical System

Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line

Forum on specification & Design Languages (FDL)

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper

Sara Vinco Information

University

Position

Italy

Citations(all)

636

Citations(since 2020)

343

Cited By

430

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

26

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Sara Vinco Skills & Research Interests

Simulation and validation of heterogeneous embedded systems

Energy efficient electronic design automation

Top articles of Sara Vinco

A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring

2024/4/4

Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices

arXiv preprint arXiv:2404.01861

2024/4/2

Model-Driven Feature Engineering for Data-Driven Battery SOH Model

2024/1/15

Model-Driven Dataset Generation for Data-Driven Battery SOH Models

arXiv e-prints

2024/1

Multi-Domain Fault Models Covering the Analog Side of a Smart or Cyber-Physical System

IEEE Transactions on Computers

2023/12/21

Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line

2023/10/16

Forum on specification & Design Languages (FDL)

2023/9/13

Sara Vinco
Sara Vinco

H-Index: 10

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper

2023/9/13

Thermal digital twin of a multi-domain system for discovering mechanical faulty behaviors

2023/7/18

Digital Twins for Electric Vehicle SoX Battery Modeling: Status and Proposed Advancements

2023/7/17

A Framework for Economic and Environmental Benefit Through Renewable Energy Community

IEEE Systems Journal

2023/7/13

Mitochondrial Dynamics as Potential Modulators of Hormonal Therapy Effectiveness in Males

2023/4/3

Sara Vinco
Sara Vinco

H-Index: 10

Multi-criteria coordinated electric vehicle-drone hybrid delivery service planning

IEEE Transactions on Vehicular Technology

2022/12/29

Modeling cyber-physical production systems with systemc-ams

IEEE Transactions on Computers

2022/12/5

Enrico Fraccaroli
Enrico Fraccaroli

H-Index: 5

Sara Vinco
Sara Vinco

H-Index: 10

SMART-IC: smart monitoring and production optimization for zero-waste semiconductor manufacturing

2022/9/5

A machine learning-based digital twin for electric vehicle battery modeling

2022/8/1

Digital transformation of a production line: Network design, online data collection and energy monitoring

IEEE Transactions on Emerging Topics in Computing

2021/12/1

Design of district-level photovoltaic installations for optimal power production and economic benefit

2021/7/12

Multi-discipline fault modeling with verilog-ams

2021/5/10

Optimizing quality inspection and control in powder bed metal additive manufacturing: Challenges and research directions

2021/2/4

See List of Professors in Sara Vinco University(Politecnico di Torino)

Co-Authors

academic-engine