Alessandro Beghi

About Alessandro Beghi

Alessandro Beghi, With an exceptional h-index of 35 and a recent h-index of 27 (since 2020), a distinguished researcher at Università degli Studi di Padova, specializes in the field of Control Systems Engineering.

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

An AI-Enabled Framework for Smart Semiconductor Manufacturing

Assessment of basic control strategies through dynamic simulations: A CO2-based chiller under extreme off-design conditions

The Sixth IEEE Conference on Control Technology and Applications [Conference Reports]

VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper

A multi-label continual learning framework to scale deep learning approaches for packaging equipment monitoring

A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes

Laundry drying machine and control method thereof

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

Alessandro Beghi Information

University

Position

___

Citations(all)

4907

Citations(since 2020)

3068

Cited By

2963

hIndex(all)

35

hIndex(since 2020)

27

i10Index(all)

112

i10Index(since 2020)

66

Email

University Profile Page

Google Scholar

Alessandro Beghi Skills & Research Interests

Control Systems Engineering

Top articles of Alessandro Beghi

An AI-Enabled Framework for Smart Semiconductor Manufacturing

2024/4/4

Assessment of basic control strategies through dynamic simulations: A CO2-based chiller under extreme off-design conditions

Energy and Buildings

2023/6/15

The Sixth IEEE Conference on Control Technology and Applications [Conference Reports]

IEEE Control Systems Magazine

2023/3/24

Alessandro Beghi
Alessandro Beghi

H-Index: 21

VIR2EM: VIrtualization and Remotization for Resilient and Efficient Manufacturing: Project-Dissemination Paper

2023/9/13

A multi-label continual learning framework to scale deep learning approaches for packaging equipment monitoring

Engineering Applications of Artificial Intelligence

2023/9/1

Diego Tosato
Diego Tosato

H-Index: 7

Alessandro Beghi
Alessandro Beghi

H-Index: 21

A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes

IEEE Transactions on Control Systems Technology

2023/7/18

Laundry drying machine and control method thereof

2022/11/3

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

2022/9/5

A revised isolation forest procedure for anomaly detection with high number of data points

2022/9/5

Elastic Shape Analysis for Anomaly Detection in Textile Finishing Time-Series Data

2022/8/23

Real-time efficient operation of a micro-scale organic rankine cycle unit via extremum seeking control

2022/8/23

Data-driven Tuning of a NMPC Controller for a Virtual Motorcycle through Genetic Algorithm

2022/8/23

Anomaly detection for the industrial internet of things: an unsupervised approach for fast root cause analysis

2022/8/23

Alessandro Beghi
Alessandro Beghi

H-Index: 21

A nonlinear model-predictive contouring controller for shared control driving assistance in high-performance scenarios

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2022/6/3

Alarm logs of industrial packaging machines

2022/5/17

Diego Tosato
Diego Tosato

H-Index: 7

Alessandro Beghi
Alessandro Beghi

H-Index: 21

A deep convolutional autoencoder-based approach for anomaly detection with industrial, non-images, 2-dimensional data: A semiconductor manufacturing case study

IEEE Transactions on Automation Science and Engineering

2022/1/17

Marco Maggipinto
Marco Maggipinto

H-Index: 5

Alessandro Beghi
Alessandro Beghi

H-Index: 21

Modelling and Simulation of a CO2-based Combined Heating and Cooling System

2022

TinyML and IoT for cold chain monitoring: applications, challenges and opportunities

7th IIR Conference on Sustainability and the Cold Chain

2022/4

Packaging Industry Anomaly DEtection (PIADE) Dataset

2022

Alessandro Beghi
Alessandro Beghi

H-Index: 21

FORMULA: A deep learning approach for rare alarms predictions in industrial equipment

IEEE Transactions on Automation Science and Engineering

2021/11/29

Diego Tosato
Diego Tosato

H-Index: 7

Alessandro Beghi
Alessandro Beghi

H-Index: 21

See List of Professors in Alessandro Beghi University(Università degli Studi di Padova)

Co-Authors

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